It will be eons before AI thinks with a limbic brain, let alone has consciousness
AI programmes themselves generate additional computer programming code to fine-tune their algorithms—without the need for an army of computer programmers. In AI speak, this is now often referred to as “machine learning”.
An AI programme “catastrophically forgets” the learnings from its first set of data and would have to be retrained from scratch with new data. The website futurism.com says a completely new set of algorithms would have to be written for a programme that has mastered face recognition, if it is now also expected to recognize emotions. Data on emotions would have to be manually relabelled and then fed into this completely different algorithm for the altered programme to have any use. The original facial recognition programme would have “catastrophically forgotten” the things it learnt about facial recognition as it takes on new code for recognizing emotions. According to the website, this is because computer programmes cannot understand the underlying logic that they have been coded with.
Irina Higgins, a senior researcher at Google DeepMind, has recently announced that she and her team have begun to crack the code on “catastrophic forgetting”.
As far as I am concerned, this limbic thinking is “catastrophic thinking” which is the only true antipode to AI’s “catastrophic forgetting”. It will be eons before AI thinks with a limbic brain, let alone has consciousness.
++++++++++++++++++
Stephen Hawking warns artificial intelligence could end mankind
By Rory Cellan-JonesTechnology correspondent,2 December 2014
Applications for the 2018 Institute will be accepted between December 1, 2017 and January 27, 2018. Scholars accepted to the program will be notified in early March 2018.
Title:
Learning to Harness Big Data in an Academic Library
Abstract (200)
Research on Big Data per se, as well as on the importance and organization of the process of Big Data collection and analysis, is well underway. The complexity of the process comprising “Big Data,” however, deprives organizations of ubiquitous “blue print.” The planning, structuring, administration and execution of the process of adopting Big Data in an organization, being that a corporate one or an educational one, remains an elusive one. No less elusive is the adoption of the Big Data practices among libraries themselves. Seeking the commonalities and differences in the adoption of Big Data practices among libraries may be a suitable start to help libraries transition to the adoption of Big Data and restructuring organizational and daily activities based on Big Data decisions. Introduction to the problem. Limitations
The redefinition of humanities scholarship has received major attention in higher education. The advent of digital humanities challenges aspects of academic librarianship. Data literacy is a critical need for digital humanities in academia. The March 2016 Library Juice Academy Webinar led by John Russel exemplifies the efforts to help librarians become versed in obtaining programming skills, and respectively, handling data. Those are first steps on a rather long path of building a robust infrastructure to collect, analyze, and interpret data intelligently, so it can be utilized to restructure daily and strategic activities. Since the phenomenon of Big Data is young, there is a lack of blueprints on the organization of such infrastructure. A collection and sharing of best practices is an efficient approach to establishing a feasible plan for setting a library infrastructure for collection, analysis, and implementation of Big Data.
Limitations. This research can only organize the results from the responses of librarians and research into how libraries present themselves to the world in this arena. It may be able to make some rudimentary recommendations. However, based on each library’s specific goals and tasks, further research and work will be needed.
Big Data is becoming an omnipresent term. It is widespread among different disciplines in academia (De Mauro, Greco, & Grimaldi, 2016). This leads to “inconsistency in meanings and necessity for formal definitions” (De Mauro et al, 2016, p. 122). Similarly, to De Mauro et al (2016), Hashem, Yaqoob, Anuar, Mokhtar, Gani and Ullah Khan (2015) seek standardization of definitions. The main connected “themes” of this phenomenon must be identified and the connections to Library Science must be sought. A prerequisite for a comprehensive definition is the identification of Big Data methods. Bughin, Chui, Manyika (2011), Chen et al. (2012) and De Mauro et al (2015) single out the methods to complete the process of building a comprehensive definition.
In conjunction with identifying the methods, volume, velocity, and variety, as defined by Laney (2001), are the three properties of Big Data accepted across the literature. Daniel (2015) defines three stages in big data: collection, analysis, and visualization. According to Daniel, (2015), Big Data in higher education “connotes the interpretation of a wide range of administrative and operational data” (p. 910) and according to Hilbert (2013), as cited in Daniel (2015), Big Data “delivers a cost-effective prospect to improve decision making” (p. 911).
The importance of understanding the process of Big Data analytics is well understood in academic libraries. An example of such “administrative and operational” use for cost-effective improvement of decision making are the Finch & Flenner (2016) and Eaton (2017) case studies of the use of data visualization to assess an academic library collection and restructure the acquisition process. Sugimoto, Ding & Thelwall (2012) call for the discussion of Big Data for libraries. According to the 2017 NMC Horizon Report “Big Data has become a major focus of academic and research libraries due to the rapid evolution of data mining technologies and the proliferation of data sources like mobile devices and social media” (Adams, Becker, et al., 2017, p. 38).
Power (2014) elaborates on the complexity of Big Data in regard to decision-making and offers ideas for organizations on building a system to deal with Big Data. As explained by Boyd and Crawford (2012) and cited in De Mauro et al (2016), there is a danger of a new digital divide among organizations with different access and ability to process data. Moreover, Big Data impacts current organizational entities in their ability to reconsider their structure and organization. The complexity of institutions’ performance under the impact of Big Data is further complicated by the change of human behavior, because, arguably, Big Data affects human behavior itself (Schroeder, 2014).
De Mauro et al (2015) touch on the impact of Dig Data on libraries. The reorganization of academic libraries considering Big Data and the handling of Big Data by libraries is in a close conjunction with the reorganization of the entire campus and the handling of Big Data by the educational institution. In additional to the disruption posed by the Big Data phenomenon, higher education is facing global changes of economic, technological, social, and educational character. Daniel (2015) uses a chart to illustrate the complexity of these global trends. Parallel to the Big Data developments in America and Asia, the European Union is offering access to an EU open data portal (https://data.europa.eu/euodp/home ). Moreover, the Association of European Research Libraries expects under the H2020 program to increase “the digitization of cultural heritage, digital preservation, research data sharing, open access policies and the interoperability of research infrastructures” (Reilly, 2013).
The challenges posed by Big Data to human and social behavior (Schroeder, 2014) are no less significant to the impact of Big Data on learning. Cohen, Dolan, Dunlap, Hellerstein, & Welton (2009) propose a road map for “more conservative organizations” (p. 1492) to overcome their reservations and/or inability to handle Big Data and adopt a practical approach to the complexity of Big Data. Two Chinese researchers assert deep learning as the “set of machine learning techniques that learn multiple levels of representation in deep architectures (Chen & Lin, 2014, p. 515). Deep learning requires “new ways of thinking and transformative solutions (Chen & Lin, 2014, p. 523). Another pair of researchers from China present a broad overview of the various societal, business and administrative applications of Big Data, including a detailed account and definitions of the processes and tools accompanying Big Data analytics. The American counterparts of these Chinese researchers are of the same opinion when it comes to “think about the core principles and concepts that underline the techniques, and also the systematic thinking” (Provost and Fawcett, 2013, p. 58). De Mauro, Greco, and Grimaldi (2016), similarly to Provost and Fawcett (2013) draw attention to the urgent necessity to train new types of specialists to work with such data. As early as 2012, Davenport and Patil (2012), as cited in Mauro et al (2016), envisioned hybrid specialists able to manage both technological knowledge and academic research. Similarly, Provost and Fawcett (2013) mention the efforts of “academic institutions scrambling to put together programs to train data scientists” (p. 51). Further, Asomoah, Sharda, Zadeh & Kalgotra (2017) share a specific plan on the design and delivery of a big data analytics course. At the same time, librarians working with data acknowledge the shortcomings in the profession, since librarians “are practitioners first and generally do not view usability as a primary job responsibility, usually lack the depth of research skills needed to carry out a fully valid” data-based research (Emanuel, 2013, p. 207).
Borgman (2015) devotes an entire book to data and scholarly research and goes beyond the already well-established facts regarding the importance of Big Data, the implications of Big Data and the technical, societal, and educational impact and complications posed by Big Data. Borgman elucidates the importance of knowledge infrastructure and the necessity to understand the importance and complexity of building such infrastructure, in order to be able to take advantage of Big Data. In a similar fashion, a team of Chinese scholars draws attention to the complexity of data mining and Big Data and the necessity to approach the issue in an organized fashion (Wu, Xhu, Wu, Ding, 2014).
Bruns (2013) shifts the conversation from the “macro” architecture of Big Data, as focused by Borgman (2015) and Wu et al (2014) and ponders over the influx and unprecedented opportunities for humanities in academia with the advent of Big Data. Does the seemingly ubiquitous omnipresence of Big Data mean for humanities a “railroading” into “scientificity”? How will research and publishing change with the advent of Big Data across academic disciplines?
Reyes (2015) shares her “skinny” approach to Big Data in education. She presents a comprehensive structure for educational institutions to shift “traditional” analytics to “learner-centered” analytics (p. 75) and identifies the participants in the Big Data process in the organization. The model is applicable for library use.
Being a new and unchartered territory, Big Data and Big Data analytics can pose ethical issues. Willis (2013) focusses on Big Data application in education, namely the ethical questions for higher education administrators and the expectations of Big Data analytics to predict students’ success. Daries, Reich, Waldo, Young, and Whittinghill (2014) discuss rather similar issues regarding the balance between data and student privacy regulations. The privacy issues accompanying data are also discussed by Tene and Polonetsky, (2013).
Privacy issues are habitually connected to security and surveillance issues. Andrejevic and Gates (2014) point out in a decision making “generated by data mining, the focus is not on particular individuals but on aggregate outcomes” (p. 195). Van Dijck (2014) goes into further details regarding the perils posed by metadata and data to the society, in particular to the privacy of citizens. Bail (2014) addresses the same issue regarding the impact of Big Data on societal issues, but underlines the leading roles of cultural sociologists and their theories for the correct application of Big Data.
Library organizations have been traditional proponents of core democratic values such as protection of privacy and elucidation of related ethical questions (Miltenoff & Hauptman, 2005). In recent books about Big Data and libraries, ethical issues are important part of the discussion (Weiss, 2018). Library blogs also discuss these issues (Harper & Oltmann, 2017). An academic library’s role is to educate its patrons about those values. Sugimoto et al (2012) reflect on the need for discussion about Big Data in Library and Information Science. They clearly draw attention to the library “tradition of organizing, managing, retrieving, collecting, describing, and preserving information” (p.1) as well as library and information science being “a historically interdisciplinary and collaborative field, absorbing the knowledge of multiple domains and bringing the tools, techniques, and theories” (p. 1). Sugimoto et al (2012) sought a wide discussion among the library profession regarding the implications of Big Data on the profession, no differently from the activities in other fields (e.g., Wixom, Ariyachandra, Douglas, Goul, Gupta, Iyer, Kulkami, Mooney, Phillips-Wren, Turetken, 2014). A current Andrew Mellon Foundation grant for Visualizing Digital Scholarship in Libraries seeks an opportunity to view “both macro and micro perspectives, multi-user collaboration and real-time data interaction, and a limitless number of visualization possibilities – critical capabilities for rapidly understanding today’s large data sets (Hwangbo, 2014).
The importance of the library with its traditional roles, as described by Sugimoto et al (2012) may continue, considering the Big Data platform proposed by Wu, Wu, Khabsa, Williams, Chen, Huang, Tuarob, Choudhury, Ororbia, Mitra, & Giles (2014). Such platforms will continue to emerge and be improved, with librarians as the ultimate drivers of such platforms and as the mediators between the patrons and the data generated by such platforms.
Every library needs to find its place in the large organization and in society in regard to this very new and very powerful phenomenon called Big Data. Libraries might not have the trained staff to become a leader in the process of organizing and building the complex mechanism of this new knowledge architecture, but librarians must educate and train themselves to be worthy participants in this new establishment.
Method
The study will be cleared by the SCSU IRB.
The survey will collect responses from library population and it readiness to use and use of Big Data. Send survey URL to (academic?) libraries around the world.
Data will be processed through SPSS. Open ended results will be processed manually. The preliminary research design presupposes a mixed method approach.
The study will include the use of closed-ended survey response questions and open-ended questions. The first part of the study (close ended, quantitative questions) will be completed online through online survey. Participants will be asked to complete the survey using a link they receive through e-mail.
Mixed methods research was defined by Johnson and Onwuegbuzie (2004) as “the class of research where the researcher mixes or combines quantitative and qualitative research techniques, methods, approaches, concepts, or language into a single study” (Johnson & Onwuegbuzie, 2004 , p. 17). Quantitative and qualitative methods can be combined, if used to complement each other because the methods can measure different aspects of the research questions (Sale, Lohfeld, & Brazil, 2002).
Sampling design
Online survey of 10-15 question, with 3-5 demographic and the rest regarding the use of tools.
1-2 open-ended questions at the end of the survey to probe for follow-up mixed method approach (an opportunity for qualitative study)
data analysis techniques: survey results will be exported to SPSS and analyzed accordingly. The final survey design will determine the appropriate statistical approach.
Project Schedule
Complete literature review and identify areas of interest – two months
Prepare and test instrument (survey) – month
IRB and other details – month
Generate a list of potential libraries to distribute survey – month
Contact libraries. Follow up and contact again, if necessary (low turnaround) – month
Collect, analyze data – two months
Write out data findings – month
Complete manuscript – month
Proofreading and other details – month
Significance of the work
While it has been widely acknowledged that Big Data (and its handling) is changing higher education (https://blog.stcloudstate.edu/ims?s=big+data) as well as academic libraries (https://blog.stcloudstate.edu/ims/2016/03/29/analytics-in-education/), it remains nebulous how Big Data is handled in the academic library and, respectively, how it is related to the handling of Big Data on campus. Moreover, the visualization of Big Data between units on campus remains in progress, along with any policymaking based on the analysis of such data (hence the need for comprehensive visualization).
This research will aim to gain an understanding on: a. how librarians are handling Big Data; b. how are they relating their Big Data output to the campus output of Big Data and c. how librarians in particular and campus administration in general are tuning their practices based on the analysis.
Based on the survey returns (if there is a statistically significant return), this research might consider juxtaposing the practices from academic libraries, to practices from special libraries (especially corporate libraries), public and school libraries.
References:
Adams Becker, S., Cummins M, Davis, A., Freeman, A., Giesinger Hall, C., Ananthanarayanan, V., … Wolfson, N. (2017). NMC Horizon Report: 2017 Library Edition.
Andrejevic, M., & Gates, K. (2014). Big Data Surveillance: Introduction. Surveillance & Society, 12(2), 185–196.
Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125
Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 56(1), 75–86.
Cohen, J., Dolan, B., Dunlap, M., Hellerstein, J. M., & Welton, C. (2009). MAD Skills: New Analysis Practices for Big Data. Proc. VLDB Endow., 2(2), 1481–1492. https://doi.org/10.14778/1687553.1687576
Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904–920. https://doi.org/10.1111/bjet.12230
Daries, J. P., Reich, J., Waldo, J., Young, E. M., Whittinghill, J., Ho, A. D., … Chuang, I. (2014). Privacy, Anonymity, and Big Data in the Social Sciences. Commun. ACM, 57(9), 56–63. https://doi.org/10.1145/2643132
De Mauro, A. D., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122–135. https://doi.org/10.1108/LR-06-2015-0061
De Mauro, A., Greco, M., & Grimaldi, M. (2015). What is big data? A consensual definition and a review of key research topics. AIP Conference Proceedings, 1644(1), 97–104. https://doi.org/10.1063/1.4907823
Eaton, M. (2017). Seeing Library Data: A Prototype Data Visualization Application for Librarians. Publications and Research. Retrieved from http://academicworks.cuny.edu/kb_pubs/115
Emanuel, J. (2013). Usability testing in libraries: methods, limitations, and implications. OCLC Systems & Services: International Digital Library Perspectives, 29(4), 204–217. https://doi.org/10.1108/OCLC-02-2013-0009
Graham, M., & Shelton, T. (2013). Geography and the future of big data, big data and the future of geography. Dialogues in Human Geography, 3(3), 255–261. https://doi.org/10.1177/2043820613513121
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47(Supplement C), 98–115. https://doi.org/10.1016/j.is.2014.07.006
Laney, D. (2001, February 6). 3D Data Management: Controlling Data Volume, Velocity, and Variety.
Miltenoff, P., & Hauptman, R. (2005). Ethical dilemmas in libraries: an international perspective. The Electronic Library, 23(6), 664–670. https://doi.org/10.1108/02640470510635746
Philip Chen, C. L., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275(Supplement C), 314–347. https://doi.org/10.1016/j.ins.2014.01.015
Provost, F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data, 1(1), 51–59. https://doi.org/10.1089/big.2013.1508
Reyes, J. (2015). The skinny on big data in education: Learning analytics simplified. TechTrends: Linking Research & Practice to Improve Learning, 59(2), 75–80. https://doi.org/10.1007/s11528-015-0842-1
Schroeder, R. (2014). Big Data and the brave new world of social media research. Big Data & Society, 1(2), 2053951714563194. https://doi.org/10.1177/2053951714563194
Sugimoto, C. R., Ding, Y., & Thelwall, M. (2012). Library and information science in the big data era: Funding, projects, and future [a panel proposal]. Proceedings of the American Society for Information Science and Technology, 49(1), 1–3. https://doi.org/10.1002/meet.14504901187
Tene, O., & Polonetsky, J. (2012). Big Data for All: Privacy and User Control in the Age of Analytics. Northwestern Journal of Technology and Intellectual Property, 11, [xxvii]-274.
van Dijck, J. (2014). Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology. Surveillance & Society; Newcastle upon Tyne, 12(2), 197–208.
Waller, M. A., & Fawcett, S. E. (2013). Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management. Journal of Business Logistics, 34(2), 77–84. https://doi.org/10.1111/jbl.12010
West, D. M. (2012). Big data for education: Data mining, data analytics, and web dashboards. Governance Studies at Brookings, 4, 1–0.
Willis, J. (2013). Ethics, Big Data, and Analytics: A Model for Application. Educause Review Online. Retrieved from https://docs.lib.purdue.edu/idcpubs/1
Wixom, B., Ariyachandra, T., Douglas, D. E., Goul, M., Gupta, B., Iyer, L. S., … Turetken, O. (2014). The current state of business intelligence in academia: The arrival of big data. CAIS, 34, 1.
Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97–107. https://doi.org/10.1109/TKDE.2013.109
Wu, Z., Wu, J., Khabsa, M., Williams, K., Chen, H. H., Huang, W., … Giles, C. L. (2014). Towards building a scholarly big data platform: Challenges, lessons and opportunities. In IEEE/ACM Joint Conference on Digital Libraries (pp. 117–126). https://doi.org/10.1109/JCDL.2014.6970157
new forms of human-computer interaction (HCI) such as augmented reality (AR),virtual reality (VR) and mixed reality (MR).
p. 21
combining AR/VR/MR with cognitive computing and artificial intelligence (AI) technologies (such as machine learning, deep learning, natural language processing and chatbots).
Some thought-provoking questions include:
Will remote workers be able to be seen and interacted with via their holograms (i.e., attending their meetings virtually)? What would this mean for remote learners?
Will our smartphones increasingly allow us to see information overlaid on the real world? (Think Pokémon Go, but putting that sort of technology into a vast array of different applications, many of which could be educational in nature)
How do/will these new forms of HCI impact how we design our learning spaces?
Will students be able to pick their preferred learning setting (i.e., studying by a brook or stream or in a virtual Starbucks-like atmosphere)?
Will more devices/platforms be developed that combine the power of AI with VR/AR/MR-related experiences? For example, will students be able to issue a verbal question or command to be able to see and experience walking around ancient Rome?
Will there be many new types of learning experiences,like what Microsoft was able to achieve in its collaboration with Case Western Reserve University [OH]? Its HoloLens product transforms the way human anatomy can be taught.
p. 22 Extensive costs for VR design and development drive the need for collaborative efforts.
Case Western Reserve University, demonstrates a collaboration with the Cleveland Clinic and Microsoft to create active multi-dimensional learning using holography.
the development of more affordable high-quality virtual reality solutions.
AR game developed by the Salzburg University of Applied Sciences [Austria] (http://www.fh-salzburg.ac.at/en/) that teaches about sustainability, the environment and living green.
Whether using AR for a gamified course or to acclimate new students to campus, the trend will continue into 2017.
Google Expeditions This virtual reality field trip tool works in conjunction with Google Cardboard and has just been officially released. The app allows teachers to guide students through an exploration of 200 (and growing) historical sites and natural resources in an immersive, three-dimensional experience. The app only works on Android devices and is free.
Flippity This app works in conjunction with Google Sheets and allows teachers to easily make a Jeopardy-style game.
Google Science Journal This Android app allows users to do science experiments with mobile phones. Students can use sensors in the phone or connect external sensors to collect data, but can also take notes on observations, analyze and annotate within the app.
Google Cast This simple app solves issues of disparate devices in the classroom. When students download the app, they can project from their devices onto the screen at the front of the room easily. “You don’t have to have specific hardware, you just have to have Wi-Fi,”
Constitute This site hosts a database of constitutions from around the world. Anything digitally available has been aggregated here. It is searchable by topic and will pull out specific excerpts related to search terms like “freedom of speech.”
YouTube a database of YouTube Channels by subject to help educators with discoverability (hint subjects are by tab along the bottom of the document).
Zygote Body This freemium tool has a lot of functionality in the free version, allowing students to view different parts of human anatomy and dig into how various body systems work.
Pixlr This app has less power than Photoshop, but is free and fairly sophisticated. It works directly with Google accounts, so students can store files there.
uild With Chrome This extension to the Chrome browser lets kids play with digital blocks like Legos. Based on the computer’s IP address, the software assigns users a plot of land on which to build nearby. There’s a Build Academy to learn how to use the various tools within the program, but then students can make whatever they want.
Google CS First Built on Scratch’s programming language, this easy tool gives step-by-step instructions to get started and is great for the hesitant teacher who is just beginning to dip a toe into coding.
Alice and Bob have figured out a way to have a conversation without Eve being able to overhear, no matter how hard she tries.
They’re artificial intelligence algorithms created by Google engineers, and their ability to create an encryption protocol that Eve (also an AI algorithm) can’t hack is being hailed as an important advance in machine learning and cryptography.
Martin Abadi and David G. Andersen, explained in a paper published this week that their experiment is intended to find out if neural networks—the building blocks of AI—can learn to communicate secretly.
As the Abadi and Anderson wrote, “instead of training each of Alice and Bob separately to implement some known cryptosystem, we train Alice and Bob jointly to communicate successfully and to defeat Eve without a pre-specified notion of what cryptosystem they may discover for this purpose.”
same in German
Googles AI entwickelt eigenständig Verschlüsselung
Google-Forscher Martin Abadi und David G. Andersen des Deep-Learning-Projekts “Google Brain” eine neue Verschlüsselungsmethode entwickelt beziehungsweise entwickeln lassen. Die Forscher haben verschiedene neurale Netze damit beauftragt, eine abhörsichere Kommunikation aufzustellen.
The first step to becoming an IoT Product Manager is to understand the 5 layers of the IoT technology stack.
1. Devices
Devices constitute the “things” in the Internet of Things. They act as the interface between the real and digital worlds.
2. Embedded software
Embedded software is the part that turns a device into a “smart device”. This part of the IoT technology stack enables the concept of “software-defined hardware”, meaning that a particular hardware device can serve multiple applications depending on the embedded software it is running.
Embedded Operating System
The complexity of your IoT solution will determine the type of embedded Operating System (OS) you need. Some of the key considerations include whether your application needs a real-time OS, the type of I/O support you need, and whether you need support for the full TCP/IP stack.
Common examples of embedded OS include Linux, Brillo (scaled-down Android), Windows Embedded, and VxWorks, to name a few.
Embedded Applications
This is the application(s) that run on top of the embedded OS and provide the functionality that’s specific to your IoT solution.
3. Communications
Communications refers to all the different ways your device will exchange information with the rest of the world. This includes both physical networks and the protocols you will use.
4. Cloud Platform
The cloud platform is the backbone of your IoT solution. If you are familiar with managing SaaS offerings, then you are well aware of everything that is entailed here. Your infrastructure will serve as the platform for these key areas:
Data Collection and Management
Your smart devices will stream information to the cloud. As you define the requirements of your solution, you need to have a good idea of the type and amount of data you’ll be collecting on a daily, monthly, and yearly basis.
Analytics
Analytics are one of they key components of any IoT solution. By analytics, I’m referring to the ability to crunch data, find patterns, perform forecasts, integrate machine learning, etc. It is the ability to find insights from your data and not the data alone that makes your solution valuable.
Cloud APIs
The Internet of Things is all about connecting devices and sharing data. This is usually done by exposing APIs at either the Cloud level or the device level. Cloud APIs allow your customers and partners to either interact with your devices or to exchange data. Remember that opening an API is not a technical decision, it’s a business decision.
This is the part of the stack that is most easily understood by Product teams and Executives. Your end-user applications are the part of the system that your customer will see and interact with. These applications will most likely be Web-based, and depending on your user needs, you might need separate apps for desktop, mobile, and even wearables.
The Bottom Line
As the Internet of Things continues to grow, the world will need an army of IoT-savvy Product Managers. And those Product Managers will need to understand each layer of the stack, and how they all fit together into a complete IoT solution.
W3Schools – Fantastic set of interactive tutorials for learning different languages. Their SQL tutorial is second to none. You’ll learn how to manipulate data in MySQL, SQL Server, Access, Oracle, Sybase, DB2 and other database systems.
Treasure Data – The best way to learn is to work towards a goal. That’s what this helpful blog series is all about. You’ll learn SQL from scratch by following along with a simple, but common, data analysis scenario.
10 Queries – This course is recommended for the intermediate SQL-er who wants to brush up on his/her skills. It’s a series of 10 challenges coupled with forums and external videos to help you improve your SQL knowledge and understanding of the underlying principles.
TryR – Created by Code School, this interactive online tutorial system is designed to step you through R for statistics and data modeling. As you work through their seven modules, you’ll earn badges to track your progress helping you to stay on track.
Leada – If you’re a complete R novice, try Lead’s introduction to R. In their 1 hour 30 min course, they’ll cover installation, basic usage, common functions, data structures, and data types. They’ll even set you up with your own development environment in RStudio.
Advanced R – Once you’ve mastered the basics of R, bookmark this page. It’s a fantastically comprehensive style guide to using R. We should all strive to write beautiful code, and this resource (based on Google’s R style guide) is your key to that ideal.
Swirl – Learn R in R – a radical idea certainly. But that’s exactly what Swirl does. They’ll interactively teach you how to program in R and do some basic data science at your own pace. Right in the R console.
Python for beginners – The Python website actually has a pretty comprehensive and easy-to-follow set of tutorials. You can learn everything from installation to complex analyzes. It also gives you access to the Python community, who will be happy to answer your questions.
PythonSpot – A complete list of Python tutorials to take you from zero to Python hero. There are tutorials for beginners, intermediate and advanced learners.
Read all about it: data mining books
Data Jujitsu: The Art of Turning Data into Product – This free book by DJ Patil gives you a brief introduction to the complexity of data problems and how to approach them. He gives nice, understandable examples that cover the most important thought processes of data mining. It’s a great book for beginners but still interesting to the data mining expert. Plus, it’s free!
Data Mining: Concepts and Techniques – The third (and most recent) edition will give you an understanding of the theory and practice of discovering patterns in large data sets. Each chapter is a stand-alone guide to a particular topic, making it a good resource if you’re not into reading in sequence or you want to know about a particular topic.
Mining of Massive Datasets – Based on the Stanford Computer Science course, this book is often sighted by data scientists as one of the most helpful resources around. It’s designed at the undergraduate level with no formal prerequisites. It’s the next best thing to actually going to Stanford!
Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners – This book is a must read for anyone who needs to do applied data mining in a business setting (ie practically everyone). It’s a complete resource for anyone looking to cut through the Big Data hype and understand the real value of data mining. Pay particular attention to the section on how modeling can be applied to business decision making.
Hadoop: The Definitive Guide – As a data scientist, you will undoubtedly be asked about Hadoop. So you’d better know how it works. This comprehensive guide will teach you how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. Make sure you get the most recent addition to keep up with this fast-changing service.
Online learning: data mining webinars and courses
DataCamp – Learn data mining from the comfort of your home with DataCamp’s online courses. They have free courses on R, Statistics, Data Manipulation, Dynamic Reporting, Large Data Sets and much more.
Coursera – Coursera brings you all the best University courses straight to your computer. Their online classes will teach you the fundamentals of interpreting data, performing analyzes and communicating insights. They have topics for beginners and advanced learners in Data Analysis, Machine Learning, Probability and Statistics and more.
Udemy – With a range of free and pay for data mining courses, you’re sure to find something you like on Udemy no matter your level. There are 395 in the area of data mining! All their courses are uploaded by other Udemy users meaning quality can fluctuate so make sure you read the reviews.
CodeSchool – These courses are handily organized into “Paths” based on the technology you want to learn. You can do everything from build a foundation in Git to take control of a data layer in SQL. Their engaging online videos will take you step-by-step through each lesson and their challenges will let you practice what you’ve learned in a controlled environment.
Udacity – Master a new skill or programming language with Udacity’s unique series of online courses and projects. Each class is developed by a Silicon Valley tech giant, so you know what your learning will be directly applicable to the real world.
Treehouse – Learn from experts in web design, coding, business and more. The video tutorials from Treehouse will teach you the basics and their quizzes and coding challenges will ensure the information sticks. And their UI is pretty easy on the eyes.
Learn from the best: top data miners to follow
John Foreman – Chief Data Scientist at MailChimp and author of Data Smart, John is worth a follow for his witty yet poignant tweets on data science.
DJ Patil – Author and Chief Data Scientist at The White House OSTP, DJ tweets everything you’ve ever wanted to know about data in politics.
Nate Silver – He’s Editor-in-Chief of FiveThirtyEight, a blog that uses data to analyze news stories in Politics, Sports, and Current Events.
Andrew Ng – As the Chief Data Scientist at Baidu, Andrew is responsible for some of the most groundbreaking developments in Machine Learning and Data Science.
Bernard Marr – He might know pretty much everything there is to know about Big Data.
Gregory Piatetsky – He’s the author of popular data science blog KDNuggets, the leading newsletter on data mining and knowledge discovery.
Christian Rudder – As the Co-founder of OKCupid, Christian has access to one of the most unique datasets on the planet and he uses it to give fascinating insight into human nature, love, and relationships
Dean Abbott – He’s contributed to a number of data blogs and authored his own book on Applied Predictive Analytics. At the moment, Dean is Chief Data Scientist at SmarterHQ.
Practice what you’ve learned: data mining competitions
Kaggle – This is the ultimate data mining competition. The world’s biggest corporations offer big prizes for solving their toughest data problems.
Stack Overflow – The best way to learn is to teach. Stackoverflow offers the perfect forum for you to prove your data mining know-how by answering fellow enthusiast’s questions.
TunedIT – With a live leaderboard and interactive participation, TunedIT offers a great platform to flex your data mining muscles.
DrivenData – You can find a number of nonprofit data mining challenges on DataDriven. All of your mining efforts will go towards a good cause.
Quora – Another great site to answer questions on just about everything. There are plenty of curious data lovers on there asking for help with data mining and data science.
Meet your fellow data miner: social networks, groups and meetups
Facebook – As with many social media platforms, Facebook is a great place to meet and interact with people who have similar interests. There are a number of very active data mining groups you can join.
LinkedIn – If you’re looking for data mining experts in a particular field, look no further than LinkedIn. There are hundreds of data mining groups ranging from the generic to the hyper-specific. In short, there’s sure to be something for everyone.
Meetup – Want to meet your fellow data miners in person? Attend a meetup! Just search for data mining in your city and you’re sure to find an awesome group near you.
Data storytelling is the realization of great data visualization. We’re seeing data that’s been analyzed well and presented in a way that someone who’s never even heard of data science can get it.
Google’s Cole Nussbaumer provides a friendly reminder of what data storytelling actually is, it’s straightforward, strategic, elegant, and simple.
Data Visualization Designer and Consultant for the Arts
Lecturer
The University Libraries of Virginia Tech seeks a specialist to join a team offering critical and sophisticated new technology development services that enhance the scholarly and creative expression of faculty and graduate students. This new position will bring relevant computational techniques to the enhance the fields of Art and Design at Virginia Tech, and will serve as a visual design consultant to project teams using data visualization methodologies.
The ideal candidates will have demonstrated web development and programming skills, knowledge of digital research methods and tools in Art and Design, experience managing and interpreting common types of digital data and assets studied in those fields.
The Data Visualization Designer & Digital Consultant for the Arts will not only help researchers in Art and Design fields develop, manage, and sustain digital creative works and digital forms of scholarly expression, but also help researchers across Virginia Tech design effective visual representations of their research. Successful candidates will work collaboratively with other Virginia Tech units, such as the School of Visual Arts; the School of Performing Arts; the Moss Center for the Arts; the Institute for Creativity, Arts, and Technology; and the arts community development initiative VTArtWorks (made possible by the Institute of Museum and Library Services [SP-02-15-0034-15])
Responsibilities
– Investigates and applies existing and emerging technologies that help strengthen the Libraries’ mission to enhance and curate visual representations of data at Virginia Tech.
– Develops and modifies technologies and designs processes that facilitate data visualization/exploration, data and information access, data discovery, data mining, data publishing, data management, and preservation
– Serves as consultant to researchers on data visualization, visual design principles, and related computational tools and methods in the digital arts
– Keeps up with trends in digital research issues, methods, and tools in related disciplines
– Identifies data, digital scholarship, and digital library development referral opportunities; makes connections with research teams across campus
– Participates in teams and working groups and in various data-related projects and initiatives as a result of developments and changes in library services
The James E. Walker Library at Middle Tennessee State University (MTSU) seeks a systems librarian to contribute to the mission of the library through administration and optimization of the library’s various management systems.
This is a 12-month, tenure-track position (#401070) at the rank of assistant/associate professor. Start date for the position is July 1, 2018. All library faculty are expected to meet promotion and tenure standards.
This position reports to the team director. The successful candidate will collaborate with campus faculty and library colleagues to ensure long-term preservation and accessibility of digital assets, projects, and datasets collected and created by the library, and to support metadata strategies associated with digital scholarship and special collections. The person in this position will engage in national and/or international initiatives and insure that best practice is followed for curation of digital materials.
Responsibilities:
Coordinate management of digital repositories, working across teams, including Digital Initiatives & Scholarly Communication, Special Collections & Archives, Technology, and Resource Services, to ensure the sustainability of projects and content
Create and maintain policies and procedures guiding digital preservation practices, including establishing authenticity and integrity workflows for born digital and digitized content
In collaboration with the Digital Collections Librarian, create guidelines and procedures for metadata creation, transformation, remediation, and enhancement
Perform metadata audits of existing digital assets to ensure compliance with standards
Maintain awareness of trends in metadata and resource discovery
Participates in team and library-wide activities; serves on Library, Librarians’ Assembly, and University committees; represents the library in relevant regional, state, and national organizations
Participates in local, regional, or national professional organizations; enriches professional expertise by attending conferences and professional development opportunities, delivering presentations at professional meetings, publishing in professional publications, and serving on professional committees
Perform other duties as assigned
Required Qualifications:
Master’s degree in Library Science from an ALA-accredited program or a master’s degree in a related field
Knowledge of best practices for current digital library standards for digital curation and of born digital and digitized content
Knowledge of current trends in data stewardship and data management plans
Experience with preservation workflows for born digital and digitized content
Experience with metadata standards and protocols (such as Dublin Core, Open Archives Initiative-Protocol for Metadata Harvesting (OAI-PMH), METS, MODS, PREMIS)
Demonstrated ability to manage multiple projects, effectively identify and leverage resources, as well as meet deadlines and budgets
Aptitude for complex, analytical work with an attention to detail
Ability to work independently and as part of a team
Excellent communication skills
Strong service orientation
Desired Qualifications:
One to three years of experience with digital preservation or metadata creation in an academic library setting
Experience with developing, using, and preserving research data collections
Familiarity with GIS and data visualization tools
Demonstrated skills with scripting languages and/or tools for data manipulation (e.g. OpenRefine http://openrefine.org/, Python, XSLT, etc.)
++++++++++++++++++
Mimi O’Malley is the learning technology translation strategist at Spalding University
THE DIGITAL HUMANITIES: IMPLICATIONS FOR LIBRARIANS,
LIBRARIES, AND LIBRARIANSHIP
The redefinition of humanities scholarship has received major attention in higher education over the past few years. The advent of digital humanities has challenged many aspects of academic librarianship. With the acknowledgement that librarians must be a necessary part of this scholarly conversation, the challenges facing subject/liaison librarians, technical service librarians, and library administrators are many. Developing the knowledge base of digital tools, establishing best procedures and practices, understanding humanities scholarship, managing data through the research lifecycle, teaching literacies (information, data, visual) beyond the one-shot class, renegotiating the traditional librarian/faculty relationship as ‘service orientated,’ and the willingness of library and institutional administrators to allocate scarce resources to digital humanities projects while balancing the mission and priorities of their institutions are just some of the issues facing librarians as they reinvent themselves in the digital humanities sphere.
A CALL FOR PROPOSALS
College & Undergraduate Libraries, a peer-reviewed journal published by Taylor & Francis, invites proposals for articles to be published in the fall of 2017. The issue will be co-edited by Kevin Gunn (gunn@cua.edu) of the Catholic University of America and Jason Paul (pauljn@stolaf.edu) of St. Olaf College.
The issue will deal with the digital humanities in a very broad sense, with a major focus on their implications for the roles of academic librarians and libraries as well as on librarianship in general. Possible article topics include, but are not limited to, the following themes, issues, challenges, and criticism:
Developing the project development mindset in librarians
Creating new positions and/or cross-training issues for librarians
Librarian as: point-of-service agent, an ongoing consultant, or as an embedded project librarian
Developing managerial and technological competencies in librarians
Administration support (or not) for DH endeavors in libraries
Teaching DH with faculty to students (undergraduate and graduate) and faculty
Helping students working with data
Managing the DH products of the data life cycle
Issues surrounding humanities data collection development and management
Relationships of data curation and digital libraries in DH
Issues in curation, preservation, sustainability, and access of DH data, projects, and products
Linked data, open access, and libraries
Librarian and staff development for non-traditional roles
Teaching DH in academic libraries
Project collaboration efforts with undergraduates, graduate students, and faculty
Data literacy for librarians
The lack of diversity of librarians and how it impacts DH development
Advocating and supporting DH across the institution
Developing institutional repositories for DH
Creating DH scholarship from the birth of digital objects
Consortial collaborations on DH projects
Establishing best practices for dh labs, networks, and services
Assessing, evaluating, and peer reviewing DH projects and librarians.
Articles may be theoretical or ideological discussions, case studies, best practices, research studies, and opinion pieces or position papers.
Proposals should consist of an abstract of up to 500 words and up to six keywords describing the article, together with complete author contact information. Articles should be in the range of 20 double-spaced pages in length. Please consult the following link that contains instructions for authors: http://www.tandfonline.com/action/authorSubmission?journalCode=wcul20&page=instructions#.V0DJWE0UUdU.
Please submit proposals to Kevin Gunn (gunn@cua.edu) by August 17, 2016; please do not use Scholar One for submitting proposals. First drafts of accepted proposals will be due by February 1, 2017 with the issue being published in the fall of 2017. Feel free to contact the editors with any questions that you may have.
Kevin Gunn, Catholic University of America
Jason Paul, St. Olaf College
++++++++++++++++++++++++++++++++++++
The Transformational Initiative for Graduate Education and Research (TIGER) at the General Library of the University of Puerto Rico-Mayaguez (UPRM) seeks an enthusiastic and creative Research Services Librarian to join our recently created Graduate Research and Innovation Center (GRIC).
The Research Services Librarian works to advance the goals and objectives of Center and leads the creation and successful organization of instructional activities, collaborates to envision and implement scholarly communication services and assists faculty, postdoctoral researchers, and graduate students in managing the lifecycle of data resulting from all types of projects. This initiative is funded by a five year grant awarded by the Promoting Postbaccalaureate Opportunities for Hispanic Americans Program (PPOHA), Title V, Part B, of the U.S. Department of Education.
The Research Services Librarian will build relationships and collaborate with the GRIC personnel and library liaisons as well as with project students and staff. This is a Librarian I position that will be renewed annually (based upon performance evaluation) for the duration of the project with a progressive institutionalization commitment starting on October 1st, 2016. .
The Mayaguez Campus of the University of Puerto Rico is located in the western part of the island. Our library provides a broad array of services, collections and resources for a community of approximately 12,100 students and supports more than 95 academic programs. An overview of the library and the university can be obtained through http://www.uprm.edu/library/.
REQUIRED QUALIFICATIONS
Master’s degree in library or information science (MLS, MIS, MLIS) from an ALA (American Library Association)-accredited program • Fully bilingual in English and Spanish • Excellent interpersonal and communication skills and ability to work well with a diverse academic community • Experience working in reference and instruction in an academic/research library and strong assessment and user-centered service orientation • Demonstrated experience working across organizational boundaries and managing complex stakeholder groups to move projects forward • Experience with training, scheduling and supervising at various settings • Ability to work creatively, collaboratively and effectively on teams and on independent assignments • Experience with website creation and design in a CMS environment and accessibility and compliance issues • Strong organizational skills and ability to manage multiple priorities.
PREFERRED QUALIFICATIONS
Experience creating and maintaining web-based subject guides and tutorials • Demonstrated ability to deliver in-person and online reference services • Experience helping researchers with data management planning and understanding of trends and issues related to the research lifecycle, including creation, analysis, preservation, access, and reuse of research data • Demonstrated a high degree of facility with technologies and systems germane to the 21st century library, and be well versed in the issues surrounding scholarly communications and compliance issues (e.g. author identifiers, data sharing software, repositories, among others) • Demonstrate awareness of emerging trends, best practices, and applicable technologies in academic librarianship • Demonstrated experience with one or more metadata and scripting languages (e.g. Dublin Core, XSLT, Java, JavaScript, Python, or PHP) • Academic or professional experience in the sciences or other fields utilizing quantitative methodologies • Experience conducting data-driven analysis of user needs or user testing.
Second master’s degree, doctorate or formal courses leading to a doctorate degree from an accredited university
PRIMARY RESPONSIBILITIES AND DUTIES
Manages daily operations, coordinates activities, and services related to the GRIC and contributes to the continuing implementation of TIGER goals and objectives.
Works closely with liaison and teaching librarians to apply emerging technologies in the design, delivery, and maintenance of high-quality subject guides, digital collection, learning objects, online tutorials, workshops, seminars, mobile and social media interfaces and applications.
Provide support to faculty and graduate students through the integration of digital collection, resources, technologies and analytical tools with traditional resources and by offering user-centered consultation and specialized services 4. Participates in the implementation, promotion, and assessment of the institutional repository and e-science initiative related to data storage, retrieval practices, processes, and data literacy/management.
Advises and educates campus community about author’s rights, Creative Commons licenses, copyrighted materials, open access, publishing trends and other scholarly communication issues.
Develops new services as new needs arise following trends in scholarly communication e-humanities, and e-science.
Provides and develops awareness and knowledge related to digital scholarship and research lifecycle for librarians and staff.
Actively disseminates project outcomes and participates in networking and professional development activities to keep current with emerging practices, technologies and trends.
Actively promote TIGER or GRIC related activities through social networks and other platforms as needed.
Periodically collects, analyzes, and incorporates relevant statistical data into progress reports as needed (e.g. Facebook, Twitter, Springshare, among others).
Actively collaborates with the TIGER Project Assessment Coordinator and the Springshare Administrator to create reports and tools to collect data on user needs.
Coordinates the transmission of online workshops through Google Hangouts Air with the Agricultural Experiment Station Library staff.
Collaborates in the creation of grants and external funds proposals.
Availability and flexibility to work some weeknights and weekends.
SALARY: $ 45,720.00 yearly+ (12 month year).
BENEFITS: University health insurance, 30 days of annual leave, 18 days of sick leave.
+++++++++++++++++++++++++++++++++
Technology Integration and Web Services Librarian
The Ferris Library for Information, Technology and Education (FLITE) at Ferris State University (Big Rapids, Michigan) invites applications for a collaborative and service-oriented Technology Integration and Web Services Librarian. The Technology Integration and Web Services Librarian ensures that library systems and web services support and enhance student learning. Primary responsibilities include management and design of the library website’s architecture, oversight of the technical and administrative aspects of the library management system and other library enterprise applications, and the seamless integration of all library web-based services. Collaborates with other library faculty and staff to provide reliable electronic access to online resources and to improve the accessibility, usability, responsiveness, and overall user experience of the library’s website. Serves as a liaison to other campus units including Information Technology Services. The Technology Integration and Web Services Librarian is a 12-month, tenure-track faculty position based in the Collections & Access Services team and reports to the Assistant Dean for Collections & Access Services.
Required Qualifications: ALA accredited master’s degree in library or information science by the time of hire. Minimum 2 years recent experience in administration and configuration of a major enterprise system, such as a library management system. Minimum 2 years recent experience in designing and managing a large-scale website using HTML5, Javascript, and CSS. Demonstrated commitment to the principles of accessibility, universal design, and user-centered design methodologies. Recent experience with object-oriented programming and scripting languages used to support a website. Experience working in a Unix/ Linux environment. Experience with SQL and maintaining MySQL, PostgreSQL, and/ or Oracle databases. Knowledge of web site analytics and experience with making data-driven decisions.
DIRECTOR OF DIGITAL PROJECTS, MIT Libraries, to direct the development, maintenance, and scaling of software applications and tools designed to dramatically increase access to research collections, improve service capabilities, and expand the library platform. Will be responsible for leading efforts on a variety of collaborative digital library projects aimed at increasing global access to MIT’s collections and facilitating innovative human and machine uses of a full range of research and teaching objects and metadata; and lead a software development program and develop partnerships with external academic and commercial collaborators to develop tools and platforms with a local and global impact on research, scholarly communications, education, and the preservation of information and ideas.
MIT Libraries seek to be leaders in the collaborative development of a truly open global network of library repositories and platforms. By employing a dynamic, project-based staffing model and drawing on staff resources from across the Libraries to deliver successful outcomes, it is poised to make immediate progress.
REQUIRED: four-year college degree; at least seven years’ professional experience and increasing responsibility with library systems and digital library strategy and development; evidence of broad, in-depth technology and systems knowledge; experience with integrated library systems/library services platforms, discovery technologies, digital repositories, and/or digital preservation services and technologies and demonstrated understanding of the trends and ongoing development of such systems and of emerging technologies in these areas; and experience directly leading and managing projects (i.e., developing proposals; establishing timelines, budgets, and staffing plans; leading day-to-day project work; and delivering on commitments). Job #13458-S
++++++++++++++++++++++++++++++++++++++++
THE UNIVERSITY OF ALABAMA LIBRARIES Digital Projects Librarian Position Description
General Summary of Responsibilities
The University of Alabama Libraries seeks an innovative, dynamic, and service-oriented professional for the position of Digital Projects Librarian. Reporting to the Head of Web Services, this position is primarily responsible for development, implementation, and project management of technology projects in a collaborative environment, as well as supporting the development and management of the UA Libraries various web interfaces. This position will also act as primary administrator for LibApps and similar cloud-based library application suites.
Primary Duties and Responsibilities
Reporting to the head of Web Services, the Digital Projects Librarian will manage and extend the University Libraries services by planning and implementing a variety of projects for internal and external audiences. The position will also integrate, manage, and extend various software platforms and web-based tools using LAMP technology skills and web programming languages such as PHP, CSS, and JavaScript. S/he will support tools such as the University Libraries web site and intranet, will work with an institutional repository instance and digital archives website, and will work with the LibApps suite of library tools. Will modify, implement and create widgets and small applications for learning tools and other interfaces and APIs. The librarian will interact with a wide range of individuals with differing technological abilities and will be expected to successfully collaborate across departments. The librarian will maintain a knowledge of current best practices in security for web tools, and library privacy concerns. The librarian will work to identify promising new technologies that can impact services and generate a better user experience. The librarian will be expected to have some participation in usability and user experience studies.
Department Information
The Web Services Unit is part of the University Libraries Office of Library Technology and is responsible for web applications, web sites, content, and services that comprise the University Libraries web presence. Among its duties, Web Services manages the University Libraries discovery service application, multiple instances of the WordPress CMS, WordPress Blogs, the LibApp suite of library tools, and Omeka as well as other tools, along with usability and accessibility efforts.
Duties
Administrate the UA suite of the LibApps tools (LibGuides, LibCal, LibAnswers, etc.); responsible for implementation of existing guidelines and maintaining continuity of look, feel and action;
Works as part of team that is responsible for management and extension of the University Libraries various web-based applications and tools (such as WordPress as a CMS and other CMS frameworks, WordPress Blogs, custom apps using an Angular JS framework and Bootstrap, Omeka, Drupal);
General, project-based web development and UX implementation within the framework of our web site, intranet and student portal;
Responsible for creating, modifying and implementing learning-tool solutions, such as Blackboard Learn widgets;
Evaluate the use and effectiveness of web applications and other technological services using analytics, usability studies, and other methods;
Work to identify and assist in implementing and evaluating promising emerging technologies and social media tools;
Provide technical expertise for the use of social media applications and tools;
Other duties as assigned.
Required qualifications
Master’s degree in Library & Information Sciences from an ALA-accredited program or advanced degree in Instructional Technology or comparable field from an accredited institution;
Ability to successfully initiate, track, and manage projects;
Demonstrated experience working on digital library projects;
Experience administering CMS-type tools and an understanding of web programming work;
Familiarity with the Linux and/or Unix command-line;
Excellent interpersonal, communication, and customer service skills and the ability to interact effectively with faculty, students, and staff.
Preferred Qualifications
One year of experience working in an academic library on large digital projects – either implementation or programming/developing, or both.
Demonstrable experience creating course and/or subject guides via LibGuides or a comparable application;
Experience developing for libraries using current best practices in writing and implementation of multiple scripting or programing languages;
Experience with automated development repository environments using Grunt, Bower, GitHub, etc.
Experience with an Open Source content management systems such as WordPress;
Demonstrated ability to work collaboratively in a large and complex environment;
Familiarity with project management and team productivity tools such as Asana, Trello, and Slack;
Knowledge of XML and library metadata standards ;
Knowledge of scripting languages such as XSLT, JavaScript, Python, Perl, and PHP;
Familiarity with responsive design methodologies and best practices;
Familiarity with agile-design practices;
Knowledge of graphic design and image editing software.
Environment:
The University of Alabama, The Capstone University, is the State of Alabama’s flagship public university and the senior comprehensive doctoral level institution in Alabama. UA enrolls over 37,000 students, is ranked in the top 50 public universities in the United States, and its School of Library and Information Studies is ranked in the top 15 library schools in the country. UA has graduated 15 Rhodes Scholars, 15 Truman Scholars, has had 121 Fulbright Scholars, is one of the leading institutions for National Merit Scholars (150 in 2015), and has 5 Pulitzer Prize winners among its ranks. Under the new leadership of President Stuart Bell, UA has launched a strategic planning process that includes an aggressive research agenda and expansion of graduate education. UA is located in Tuscaloosa, a metropolitan area of 200,000, with a vibrant economy, a moderate climate, and a reputation across the South as an innovative, progressive community with an excellent quality of life. Tuscaloosa provides easy access to mountains, several large cities, and the beautiful Gulf Coast.
The University of Alabama is an equal opportunity employer and is strongly committed to the diversity of our faculty and staff. Applicants from a broad spectrum of people, including members of ethnic minorities and disabled persons, are especially encouraged to apply. The University Libraries homepage may be accessed at http://libraries.ua.edu
Prior to employment the successful candidate must pass a pre-employment background investigation.
SALARY/BENEFITS: This will be a non-tenure track 12-month renewable appointment for up to three year cycles at the Assistant Professor rank based on performance, funding, and the needs of the University Libraries. Salary is commensurate with qualifications and experience. Excellent benefits, including professional development support and tuition fee waiver.
Columbia University Libraries seeks a collegial, collaborative, and creative Digital Humanities Developer to join our Libraries IT staff. The Digital Humanities Developer will provide technology support for digital humanities-focused projects by evaluating, implementing and managing relevant platforms and applications; the Developer will also analyze, transform and/or convert existing humanities-related data sets for staff, engage in creative prototyping of innovative applications, and provide technology consulting and instructional support for Libraries staff.
This new position, based in the Libraries’ Digital Program Division, will work on a variety of projects, collaborating closely with the Digital Humanities Librarian, the Digital Scholarship Coordinator, other Libraries technology groups, librarians in the Humanities & History division and project stakeholders. The position will contribute to building out flexible and sustainable technology platforms for the Libraries’ DH programs and will
also explore new and innovative DH applications and tools.
Responsibilities include:
– Evaluate, implement and manage web and related software applications and platforms relevant to the digital humanities program
– Analyze, transform and/or convert existing humanities-related data sets for staff, students and faculty as needed
– Engage in creative prototyping and model innovative technology solutions in support of the goals of the Digital Humanities Center
– Provide technology consulting, guidance and instruction to CUL staff a well as students and faculty as required
– Conduct independent exploration of technology issues and opportunities in the Digital Humanities domain
The successful candidate will have great collaboration and communication skills and a strong interest in developing expertise in the evolving field of digital humanities.
Columbia University is An Equal Opportunity/Affirmative Action employer and strongly encourages individuals of all backgrounds and cultures to consider this position.
-Bachelor’s degree in computer science or a related field, with experience in the humanities, a minimum of 3 years of related work experience, or an equivalent combination of education and experience
Significant experience with UNIX, relational databases (e.g., MySQL, PostgreSQL), and one or more relevant software / scripting languages (e.g., JavaScript, PHP, Python, Ruby/Rails, Perl); experience with modern web standards (HTML5 / CSS / JavaScript); ability to manage software development using revision control software such as SVN and GIT/GITHUB; strong interpersonal skills and demonstrated ability to work as part of collaborative teams; ability to communicate effectively with faculty, students, and staff, including both technical and non-technical collaborators; commitment to supporting and working in a diverse collegial environment
Advanced degree in computer science or a related field, or an advanced degree in the humanities or related field; experience in one or more of the following areas: natural language processing, text analysis, data-mining, machine learning, spatial information / mapping, data modeling, information visualization, integrating digital media into web applications; experience with XML/XSLT, GIS, SOLR, linked data technologies; experience with platforms used for digital exhibits or archives.
Experience in the design, development and management of web interfaces, including demonstrated pro?ciency with HTML, CSS, and web authoring tools.
Working knowledge of relevant coding languages such as Javascript and PHP
Ability and willingness to develop work?ows and standards related to all aspects of the library’s web presence and services including related applications.
Strong problem solving skills
Excellent organizational skills, including the capability for managing a variety of tasks and multiple priorities
Demonstrated initiative and proven ability to learn new technologies and adapt to changes in the profession.
Understanding of library services and technologies in an academic environment.
Strong service orientation and awareness of end user needs as related to library online services and technologies
Possesses an understanding of, and a commitment to, usability testing and ongoing assessment of web interfaces
Demonstrated ability to thrive in a team environment, working both independently and collaboratively as appropriate.
Ability to learn new technical skills quickly and adapt emerging technologies to new domains.
Proven ability and willingness to share expertise with colleagues and to articulate technology strategy to non-technical sta? and patrons.
Must be available to respond to situations and systems maintenance work that will occur during weekends or evenings.
Excellent oral, written, and interpersonal communication, including the ability to develop written project documentation, process procedures, reports, etc.
PREFERRED QUALIFICATIONS:
Knowledge of Responsive Web Design and W3C Web Usability Guidelines.
Experience supporting an Integrated Library System (ILS)/Library Management Platform and/or discovery system such as Ex Libris’s Primo.
Experience using web development languages such as PHP, Javascript, XML, XSLT, and CSS3.
Experience with content management systems such as Drupal or WordPress
Familiarity with the technical applications and strategies used to enhance the discover ability of library and digital collections.
Experience with managing projects, meeting deadlines, and communicating to various stakeholders in an academic library environment.
Experience working in a Linux environment.
Experience supporting web applications utilizing the LAMP stack (Linux, Apache, MySQL, PHP).
The University Libraries at Appalachian State University seeks a responsive and collaborative Electronic Resources Librarian. The Electronic Resources Librarian will ensure a seamless and transparent research environment for students and faculty by managing access to electronic resources. Working collaboratively across library teams, the Electronic Resources Librarian will identify and implement improvements in online content, systems and services. The successful candidate will have strong project management, problem solving, and workflow management skills. The Electronic Resources Librarian is a member of the Resource Acquisition and Management Team.
Required
ALA-accredited master’s degree.
Excellent communication, presentation, and interpersonal skills.
Demonstrated e-resources project and workflow management skills.
Preferred
Experience with integrated library systems (Sierra preferred).
Experience with setup and maintenance of knowledge base, OpenURL, and discovery systems (EDS preferred).
Experience with proxy setup and maintenance (Innovative’s WAM, and/or EZ Proxy preferred).
Knowledge of security standards and protocols such as LDAP, Single-Sign On, and Shibboleth, and data transfer standards and protocols such as IP, FTP, COUNTER, and SUSHI.
Advanced skills with office productivity software including MS Office, and Google Apps for Education.
Evidence of establishing and maintaining excellent vendor relationships.
Demonstrated ability to work collaboratively across library teams.
Demonstrated skill in technical trouble-shooting and problem-solving.
Demonstrated supervisory skills.
Second advanced degree.
———————————————————————–
—–Original Message—–
From: lita-l-request@lists.ala.org [mailto:lita-l-request@lists.ala.org] On Behalf Of Spencer Lamm
Sent: Thursday, October 13, 2016 12:13 PM
To: lita-l@lists.ala.org
Subject: [lita-l] Jobs: Digital Repository Application Developer, Drexel University Libraries
Summary
Drexel University Libraries seeks a collaborative and creative professional to develop solutions for managing digital collections, research data, university records, and digital scholarship. Working primarily with our Islandora implementation, this position will play a key role as the Libraries advance preservation services and public access for a wide array of digital content including books, articles, images, journals, newspapers, audio, video, and datasets.
As a member of the Data & Digital Stewardship division, the digital repository application developer will work in a collaborative, team-based environment alongside other developers, as well as archives, metadata, and data services staff. The position’s primary responsibility will be working in a Linux environment with the Islandora digital repository stack, which includes the Fedora Commons digital asset management layer, Apache Solr, and Drupal. To support the ingestion and exposure of new collections and digital object types the position will extend the repository using tools such as: RDF, SPARQL, and triplestores; the SWORD protocol; and XSLT.
Reporting to the manager, discovery systems, the developer will collaborate with collection managers and stakeholders across campus. In addition, the successful candidate will play an active role in the Islandora and Fedora open source communities, contributing code, participating in working groups and engaging in other activities in support of current and future implementers of these technologies.
Librarian and Instructional Technology Liaison – Data Services (#459)
Date Posted: 10/19/2016 Type/Department: Staff in Library, Information & Technology Services
As a member of a fully blended group of librarians and instructional technologists in the Research & Instructional Support (RIS) department, the Librarian/Library and Instructional Technology Liaison (title dependent on qualifications) will work closely with fellow liaisons in RIS to provide forward-looking library research and instructional technology services to faculty and students, with a special focus on data services.The liaison collaborates broadly across LITS as well as with internal and external partners to support faculty and students participating in the College’s data science curricular initiative and in data-intensive disciplines. The liaison coordinates the development, design, and provision of responsive and flexible data services programming for faculty and students, including data analysis, data storage, data publishing, data management, data visualization, and data preservation. The liaison consults with faculty and students in a wide range of disciplines on best practices for teaching and using data/statistical software tools such as R, SPSS, Stata, and MatLab.All liaisons collaborate with faculty to support the design, implementation and assessment of meaningfully integrated library research and technology skills and tools (including Moodle, the learning management system) into teaching and learning activities; provide library research and instructional technology consultation; effectively design, develop, deliver, and assess seminars, workshops, and other learning opportunities; provide self-motivated leadership in imagining and implementing improvements in teaching and learning effectiveness; serve as liaison to one or more academic departments or programs, supporting pedagogical and content needs in the areas of collection development, library research, and instructional technology decisions; maintain high levels of quality customer service standards responding to questions and problems; partner with colleagues across Library, Information, and Technology Services (LITS) to ensure excellence in the provision of services in support of teaching and learning; and actively work to help the RIS team and the College to create a welcoming environment in which a diverse population of students, faculty, and staff can thrive.Evening and weekend work may be necessary. In some circumstances, it may be important to assist during adverse weather and emergency situations to ensure essential services and service points are covered. Performs related duties as assigned.Qualifications:
Advanced degree required, preferably in education, educational technology, instructional design, or MLS with an emphasis in instruction and assessment. Open to other combinations of education and experience such as advanced degree in quantitative academic disciplines with appropriate teaching and outreach experience.
3-5 years experience in an academic setting with one or more of the following: teaching, outreach, instructional technology and design support, or research support.
Significant experience with statistical/quantitative data analysis using one or more of the following tools: R, SPSS, Stata, or MatLab.
Significant experience with one or more of the following: data storage, data publishing, data management, data visualization, or data preservation.
Skills:
Demonstrated passion for the teaching and learning process, an understanding of a variety of pedagogical approaches, and the ability to develop effective learning experiences.
Demonstrated ability to lead projects that include diverse groups of people.
A love of learning, the ability to think critically with a dash of ingenuity, the open-mindedness to change your mind, the confidence to admit to not knowing something, and a willingness to learn and move on from mistakes.
Attention and care for detail without losing sight of the big picture and our users’ needs.
Flexibility to accept, manage, and incorporate change in a fast-paced environment.
Excellent oral and written communication, quantitative, organization, and problem-solving skills.
The ability to work independently with minimal supervision.
Able to maintain a professional and tactful approach in all interactions, ensuring confidentiality and an individual’s right to privacy regarding appropriate information.
Enthusiastic service orientation with sensitivity to the needs of users at all skill levels; the ability to convey technical information to a non-technical audience is essential.
Ability to travel as needed to participate in consortia and professional meetings and events.
++++++++++++++++++++++++++++++
From:lita-l-request@lists.ala.org [mailto:lita-l-request@lists.ala.org] On Behalf Of Williams, Ginger Sent: Tuesday, November 22, 2016 8:37 AM To: ‘lita-l@lists.ala.org’ <lita-l@lists.ala.org> Subject: [lita-l] Job: Library Specialist Data Visualization & Collection Analytics (Texas USA)
library Specialist: Data Visualization & Collections Analytics
The Albert B. Alkek Library at Texas State University is seeking a Library Specialist: Data Visualization & Collections Analytics. Under the direction of the Head of Acquisitions, this position provides library-wide support for data visualization and collection analytics projects to support data-driven decision making. This position requires a high level of technical expertise and specialized knowledge to gather, manage, and analyze collection data and access rights, then report complex data in easy-to-understand visualizations. The position will include working with print and digital collections owned or leased by the library.
RESPONSIBILITIES: Develop and maintain an analytics strategy for the library. Manage and report usage statistics for electronic resources. Conduct complex holdings comparison analyses utilizing data from the Integrated Library System (ILS), vendors and/or external systems. Produce reports from the ILS on holdings and circulation. Develop strategies to clean and normalize data exported from the ILS and other systems for use in further analysis. Utilize data visualization strategies to report and present analytics. Conduct benchmarking with vendors, peer institutions, and stakeholders. Coordinate record-keeping of current and perpetual access rights for electronic resources and the management of titles in preservation systems such as LOCKSS and PORTICO. Maintain awareness of developments with digital preservation systems and national and international standards for electronic resources. Serve as the primary resource person for questions related to collections analytics and data visualization. Represent department and library-wide needs by participating in various committees. Participate in formulating departmental and unit policies. Pursue professional development activities to improve knowledge, skills, and abilities. Coordinate and/or perform special projects, participate in department & other staff meetings and perform other duties as needed.
QUALIFICATIONS:
Required: Ability to read, analyze, and understand data in a variety of formats; strong written, oral, and interpersonal skills, including ability to work effectively in a team; experience using R, Tableau, BayesiaLab or other data visualization or AI applications, demonstrated by an online portfolio; advanced problem solving, critical thinking, and analytical skills; demonstrated advanced proficiency with Microsoft Excel, including experience using VBA, macros, and formulas; intermediate familiarity with relational databases such as Microsoft Access, including creating relationships, queries, and reports; innovative thinking including the ability to utilize analytics/visualization tools in new, creative, and effective ways.
Preferred: Bachelor’s degree in quantitative or data visualization field such as Applied Statistics, Data Science, or Business Analytics or certificate in data visualization; familiarity with library collection management standards and tools, such as reporting modules within integrated library systems, COUNTER, SUSHI, PIE-J, LOCKSS, PORTICO, library electronic resource usage statistics, and continuing resources; experience with SQL or other query language.
SALARY AND BENEFITS: Commensurate with qualifications and experience. Benefits include monthly contribution to health insurance/benefits package and retirement program. No state or local income tax.
BACKGROUND CHECK: Employment with Texas State University is contingent upon the outcome of a criminal history background check.
Texas State University is an Equal Opportunity Employer. Texas State, a member of the
Texas State University System, is committed to increasing the number of women and
minorities in administrative and professional positions.
+++++++++++++++++++++++++++++++++++
Assistant Professor
Working Title
Assistant Professor – Web Development Librarian #002847
Department
Office of the Dean – Hunter Library
Position Summary
Hunter Library seeks an enthusiastic, innovative, collaborative, and user-oriented librarian for the position of Web Development and User Experience Librarian. This librarian will research, develop, and assess enhancements to the library’s web presence. The person in this position will design new sites and applications to improve the user experience in discovering, finding, and accessing library content and services. Providing vision and leadership in designing, developing and supporting the library website content and integrating it with the larger library web presence, which includes discovery tools, digital collections, and electronic resources; supervision of one technology support analyst, as well as staff/student employees engaged in related work, as assigned. Monitors workflow and deadlines; day-to-day management, including programming and editorial recommendations, of the library’s web pages and intranet; serves as a member of the library’s web steering committee, an advisory group that includes representatives from across the library; development and implementation web applications and tools, particularly for mobile environments. The library values collaboration and broad engagement in library-wide decisions and initiatives. This position reports directly to the Head of Technology, Access, and Special Collections.
Carnegie statement
WCU embraces its role as a regionally engaged university and is designated by the Carnegie Foundation for the Advancement of Teaching as a community engaged university. Preference will be given to candidates who can demonstrate a commitment to public engagement through their teaching, service, and scholarship
Knowledge, Skills, & Abilities Required for this Position
Strong leadership skills and ability to lead a web based electronic content management development team; experience in designing, developing, and supporting web sites using HTML, CSS, and JavaScript; familiarity with User Experience Design; basic skills in graphic design; familiarity with usability testing, WAI guidelines, and web analytics; familiarity with mobile platforms, applications, and design; familiarity with responsive design; familiarity with content management systems, intranets, relational databases, and web servers; demonstrated flexibility and initiative; strong commitment to user-centered services and service excellence; strong analytical and problem-solving skills; ability to work effectively with faculty, staff, and students; superior oral and written communication skills; ability to achieve tenure through effective job performance, service, and research.
Minimum Qualifications
ALA-accredited master’s degree or international equivalent in library or information science; strong leadership skills and ability to lead a web based electronic content management development team; experience in designing, developing, and supporting web sites using HTML, CSS, and JavaScript; familiarity with User Experience Design; basic skills in graphic design; familiarity with usability testing, WAI guidelines, and web analytics; familiarity with mobile platforms, applications, and design; familiarity with responsive design; familiarity with content management systems, intranets, relational databases, and web servers. Demonstrated flexibility and initiative; strong commitment to user-centered services and service excellence; strong analytical and problem-solving skills; ability to work effectively with faculty, staff, and students; superior oral and written communication skills; ability to achieve tenure through effective job performance, service, and research
Preferred Qualifications
Academic library experience; demonstrated skills in User Experience Design; demonstrated experience with usability testing, WAI guidelines, and web analytics; demonstrated experience with mobile platforms, applications, and design; demonstrated experience developing responsive web pages or applications; demonstrated experience with content management systems, relational databases, and web servers; skills or interest in photography; experience with graphic design software; familiarity with a programming environment that includes languages such as ASP.NET, PHP, Python, or Ruby
Position Type
Permanent Full-Time
Position: Library Information Analyst
Position summary
The Library Information Analyst coordinates Access & Information Services (AIS) technology assessment activities, working in a 24/5 environment to support the technology needs of customers. This position will analyze and report quantitative and qualitative data gathered from various technology-related services including the iSpace (library maker space), equipment lending, and all public-facing user technology. Using this data, the incumbent will support strategic planning for improving and operationalizing technology-related services, provide analysis to support a wide variety of data to management, and makes recommendations for process improvements.
The University of Alabama Libraries seeks a talented and energetic professional Web Development Librarian in the Web Technologies and Development unit. Reporting to the Manager of Web Technologies and Development, this position will be responsible for supporting and extending the Libraries’ custom web applications, tools, and web presence. The position will also engage in project work, and support new technology initiatives derived from our strategic plan. The position duties will be split among extending and supporting our custom PHP web apps framework, maintaining and enhancing our web site, maintaining and extending our custom Bento search tool, and developing for open-source digital initiatives such as EBSCO’s FOLIO library framework. The position will also support inter-departmental development and troubleshooting using your front-stack and back-end skills.
The successful candidate will maintain a knowledge of current best practices in all areas of responsibility with special attention to security. S/he will identify promising new technologies that can positively impact services or generate a better user experience and will be an innovative and entrepreneurial professional who desires to work in a creative, collaborative and respectful environment.
The Web Technologies and Applications department is responsible for the development of such nationally-recognized tools as our Bento search interface and our innovative applications of Ebsco’s EDS tool. The University Libraries emphasizes a culture of continuous learning, professional growth, and diversity through ongoing and regular training, and well-supported professional development.
REQUIRED QUALIFICATIONS:
MLS/MLIS degree from an ALA accredited program, or
Demonstrated ability to work independently, as well as collaboratively with diverse constituencies; comfortable with ambiguity; and effective oral, written and interpersonal communication
Experience (1 year+) developing for LAMP systems / extensive familiarity with PHP and MySQL or other back-end development Eg, must be able to write SQL queries and PHP code, and show understanding of web application usage using these tools within a Linux and Apache environment.
Extensive familiarity with front-stack development using Javascript and Javascript libraries, AJAX, JSON, HTML 5 and
Familiarity with version control usage systems in a development
Familiarity with basic UX, iterative design, accessibility standards and mobile first
Experience developing within a WordPress
Ability to problem solve
Ability to set and follow through on both individual and team priorities and
Aptitude for learning new technologies and working in a dynamic
Demonstrated comfort with an evolving technology
A desire to be awesome, and develop awesome projects.
PREFERRED QUALIFICATIONS:
1-3 years of programming and development experience in a web environment using LAMP
Experience developing for, and supporting, common open-source library applications such as Omeka, ArchiveSpace, Dspace,
Experience with Java, Ruby, RAML
Familiarity with NoSQL databases and
Experience interacting with and manipulating REST API data
Application or mobile development
Experience with professional workflows using IDEs, staging servers, Git, Grunt, and
Familiarity with js, Bootstrap, Angular.js, Roots.io.
Familiar with UX methodologies and
Experience with web security issues, HTTPS, and developing secure
Experience developing for and within open-source
++++++++++++++++++++++++++++++++++++++
Web Developer/Content Strategist
0604162
University Libraries
Desired Qualifications
– Experience working with Drupal or similar CMS.
– Experience working with LibGuides.
– Familiarity with academic libraries.
General Summary: Designs, develops and maintains websites and related applications for the University Libraries. The position also leads a team to develop holistic communication strategies including the creation and maintenance of an intuitive online experience.
– Develops web content strategy for all University Libraries departments. Serves as Manager for CMS website. Leads effort to coordinate website messaging across multiple platforms including Libraries CMS, LibGuides, social media, and other electronic outlets. Leads research, organization, and public relations efforts concerning the development and release of new websites.
– Designs, tests, debugs and deploys websites. Maintains and updates website architecture and content. Ensures website architecture and content meets University standards.
– Collaborates with University staff to define and document website requirements. Gathers and reports usage statistics, errors or other performance statistics to improve information access and further the goals of the University Libraries.
– Works with Libraries Resource Management to incorporate web-related materials and resources from the Integrated Library System into other web platforms. Works with Libraries IT Services to coordinate maintenance of the architecture, functionality, and integrity of University Libraries websites.
Minimum Qualifications
– Bachelor’s degree or higher in a related field from an accredited institution.
– Three years’ relevant experience.
– Strong interpersonal, written and verbal communication skills.
– Experience documenting technical and content standards.
Under supervision of the Director of Educational Technology, the Academic Technology Specialist will implement complex technical programs and/or projects; perform a range of work in development/programming, communications, technical support, instructional design, and other similar functions to support faculty, staff and students depending on the needs of the Office of Educational Technology; and provide input to educational technology policy-making decisions.Key Responsibilities and Activities:
Support in the implementation of 21st Century technologies, such as ePortfolios, blended/asynchronous courses, mobile learning, Web 2.0 tools for education;
Develop and implement innovative pedagogical applications using the latest computer, mobile and digital media;
Develop educational and interactive websites, including interactive learning modules, multimedia presentations, and rich media;
Provide one-to-one guidance to faculty in Blackboard, ePortfolios, blended/online learning, mobile learning, and digital media use in the classroom across all disciplines in a professional setting;
Support and enhance existing homegrown applications as required;
Develop and administer short-term training courses for faculty and students. Provide support for Blackboard, Digication, and WordPress users.
Keep abreast of the latest hardware and software developments and adapt them for pedagogical uses across disciplines.
Other Duties
Manage multiple projects in a dynamic team-oriented environment;
Serve as a liaison between Academic Departments and the Office of Educational Technology, and as a technical resource in all aspects of instructional design, as well as technologies used in the classroom.
Qualifications
Bachelor Degree in Computer Science or related field, and three years of related work experience. Master Degree preferred.
In-depth experience of programming in ASP.NET MVC, PHP and C#;
Strong understanding of database design (MySQL, MS SQL);
Strong understanding of HTML5, CSS3, HTML, XHTML, XML, JavaScript, AJAX, JQUERY, and Internet standards and protocols;
Strong teamwork and interpersonal skills;
Knowledge of project development life cycle is a plus;
Strong understanding of WordPress Multisites, Kaltura, WikiMedia, and other CMS platforms is a plus;
Experience with Windows Mobile, iOS, and other mobile environments / languages is a plus.
_______________________________
Digital Literacies Librarian
Instruction Services Division – Library
University of California, Berkeley Library
Hiring range: Associate Librarian
$65,942 – $81,606 per annum, based on qualifications
This is a full time appointment available starting March 2019.
The University of California, Berkeley seeks a creative, collaborative, and user-oriented colleague as the Digital Literacies Librarian. The person in this role will join a team committed to teaching emerging scholars to approach research with confidence, creativity, and critical insight, empowering them to access, critically evaluate, and use information to create and distribute their own research in a technologically evolving environment. This position also has a liaison role with the School of Information, building collections and supporting research methodologies such as computational text analysis, data visualization, and machine learning.
The Environment
The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation’s premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 30,000 undergraduate students, over 11,000 graduate students, and 1,500 faculty. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive collections in all formats and robust services to connect users with those collections and build their related research skills.
The Instruction Services Division (ISD) is a team of seven librarians and professional staff who provide leadership for all issues related to the Library’s educational role such as student learning, information literacy, first-year and transfer student experience, reference and research services, assessment of teaching and learning, instructor development, and the design of physical and virtual learning environments. We support course-integrated instruction, drop-in workshops, online guides, and individual research. Our work furthers the Library’s involvement in teaching and learning initiatives and emphasizes the opportunities associated with undergraduate education. We cultivate liaison relationships with campus partners and academic programs.
The School of Information (I School) offers: professional masters degrees in information management, data science, and cybersecurity; a doctoral program in Information Management & Systems; and a Graduate Certificate in Information and Communication Technologies and Development. Research areas include: natural language processing, computer-mediated communication, data science, human-computer interaction, information policy, information visualization, privacy, technology for developing regions, and user experience and design.
Responsibilities
Reporting to the Head of the Instruction Services Division, the Digital Literacies Librarian will further the Library’s digital literacy initiative (Level Up) by working with colleagues in the Library and engaging with campus partners. This librarian will play a key role in supporting information literacy and emerging research methods across the disciplines, partnering with colleagues who have expertise in these areas (e.g. Data Initiatives Expertise Group, Data and GIS Librarians, Digital Humanities Librarian) and campus partners (e.g. D-Lab, Academic Innovation Studio, Research IT, Research Data Management). Collaborations will be leveraged to identify, implement, and promote entry-level research support services for undergraduate users. This librarian will actively participate in the Library’s reference and instructional services—providing in-person reference, virtual reference, individual research consultations, in-person classes, and the development of online instructional content. This librarian will provide consultation and training to students, faculty, and librarians on using digital tools and techniques to enhance their research and to improve teaching and learning. Serving as a liaison to the I School, this position will establish strong relationships with faculty and graduate students and gain insights into trends in information studies that can be incorporated into the library’s instructional portfolio, with a special focus on undergraduates.
Working with colleagues in ISD and across the Library, the Digital Literacies Librarian will develop innovative programs and services. A key pedagogical tactic is promoting peer-to-peer learning for undergraduates, including administering the Library Undergraduate Fellows program. The Fellows program provides students with training and networking opportunities while helping the Library experiment and pilot service models to best support emerging scholars. New service models are piloted in the Center for Connected Learning (CCL) beta site in Moffitt Library. Currently in the design phase, the CCL is a hub for undergraduates to engage in multidisciplinary, multimodal inquiry and creation. Students learn from peers and experts as they ask, seek, and find answers to their questions in an environment unbound by disciplines or domain expertise. Students discover possibilities for learning and research by experimenting directly with new methods and tools. The space is run in partnership with students, and they are empowered to influence service and space design, structure, and policies. The Digital Literacies Librarian will contribute to this ethos by ensuring that emerging scholars are supported to experiment and be connected to the Library’s wealth of scholarly resources and programs.
Qualifications
Minimum Basic Qualification required at the time of application:
● Bachelor’s degree
Additional Required Qualifications required by start date of position:
● Master’s degree from an ALA accredited institution or equivalent international degree.
● Two or more years experience providing reference and/or instruction services in an academic or research library.
● Two or more years experience using digital scholarship methodologies.
Additional Preferred Qualifications:
● Experience applying current developments in information literacy, instructional design, digital initiatives, and assessment.
● Demonstrated understanding of methods and tools related to text mining, web scraping, text and data analysis, and visualization.
● Experience with data visualization principles and tools.
● Demonstrated ability to plan, coordinate, and implement effective programs, complex projects, and services.
● Demonstrated analytical, organizational, problem solving, interpersonal, and communication skills.
● Demonstrated initiative, flexibility, creativity, and ability to work effectively both independently and as a team member.
● Knowledge of the role of the library in supporting the research lifecycle.
● Participation in Digital Humanities Summer Institute (DHSI), ARL Digital Scholarship Institute, Library Carpentry, or other intensive program.
● Experience with or coursework in collection development in an academic or research library.
● Knowledge of licensing issues related to text and data mining.
● Familiarity with data science principles and programming languages such as Python or R.
+++++++++++++++++++
Making and Innovation Specialist, UNLV University Libraries [R0113536]
The Making and Innovation Specialist collaborates with library and campus colleagues to connect the Lied Library Makerspace with learning and research at the University of Nevada, Las Vegas. This position leads the instructional initiatives of the Makerspace, coordinates curricular and co-curricular outreach, and facilitates individual and group instruction. The incumbent coordinates daily Makerspace operations and supervises a team of student employees who maintain safety standards and provide assistance to users. As a member of the Department of Knowledge Production, this position works jointly with all disciplines to explore the application of technology in learning and research, and prioritizes creating inclusive spaces and experiences for the UNLV community.
QUALIFICATIONS
This position requires a bachelor’s degree from a regionally accredited college or university and professionals at all stages of their career are encouraged to apply.
Required
Technology
Ability to use technology in creative ways to facilitate research and learning.
Ability to maintain and troubleshoot digital fabrication technology.
Experience with 3D modeling and printing principles including equipment, software, and basic CAD skills.
Working knowledge of vector graphic editors and laser cutting or vinyl cutting equipment.
Experience with circuitry, Arduino microcontrollers, and Raspberry Pi single-board computers.
Coding skills as they apply to circuitry preferred.
Instructional & Organizational
Ability to create and maintain policies and instructional materials/guides for Makerspace equipment and services.
Managerial skills to hire, train, supervise, and inspire a team of student employees.
Excellent oral and written communication skills including the ability to describe relatively complex technical concepts to a non-technical audience.
Aptitude for developing and supporting learner-centered instruction for a variety of audiences.
Demonstrated capacity and skill to engage students and contribute to student success.
Ability to work creatively, collaboratively, and effectively to promote teamwork, diversity, equality, and inclusiveness within the Libraries and the campus.
Experience in a relevant academic or public setting preferred.
Microsoft Azure/ˈæʒər/ is a cloud computing platform and infrastructure, created by Microsoft, for building, deploying and managing applications and services through a global network of Microsoft-managed and Microsoft partner hosted datacenters. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014.[1]
The specific AI — GPT-3, for Generative Pre-trained Transformer 3 — was released in June 2020 by OpenAI, a research business co-founded by Elon Musk. It was developed to create content with a human language structure better than any of its predecessors.
According to a 2019 paper by the Allen Institute of Artificial Intelligence, machines fundamentally lack commonsense reasoning — the ability to understand what they’re writing. That finding is based on a critical reevaluation of standard tests to determine commonsense reasoning in machines, such as the Winograd Schema Challenge.
Which makes the results of the EduRef experiment that much more striking. The writing prompts were given in a variety of subjects, including U.S. History, Research Methods (Covid-19 Vaccine Efficacy), Creative Writing, and Law. GPT-3 managed to score a “C” average across four subjects from professors, failing only one assignment.
Aside from potentially troubling implications for educators, what this points to is a dawning inflection point for natural language processing, heretofore a decidedly human characteristic.
