As the cost of sensors and the connectivity necessary to support those sensors has decreased, this has given rise to a network of interconnected devices. This network is often described as the Internet of Things and it is providing a variety of information management challenges. For the library and publishing communities, the internet of things presents opportunities and challenges around data gathering, organization and processing of the tremendous amounts of data which the internet of things is generating. How will these data be incorporated into traditional publication, archiving and resource management systems? Additionally, how will the internet of things impact resource management within our community? In what ways will interconnected resources provide a better user experience for patrons and readers? This session will introduce concepts and potential implications of the internet of things on the information management community. It will also explore applications related to managing resources in a library environment that are being developed and implemented.
Education in the Internet of Things Bryan Alexander, Consultant;
How will the Internet of Things shape education? We can explore this question by assessing current developments, looking for future trends in the first initial projects. In this talk I point to new concepts for classroom and campus spaces, examining attendant rises in data gathering and analysis. We address student life possibilities and curricular and professional niches. We conclude with notes on campus strategy, including privacy, network support, and futures-facing organizations.
What Does The Internet of Things Mean to a Museum? Robert Weisberg, Senior Project Manager, Publications and Editorial Department; Metropolitan Museum of Art;
What does the Internet of Things mean to a museum? Museums have slowly been digitizing their collections for years, and have been replacing index cards with large (and costly, and labor-intensive) CMS’s long before that, but several factors have worked against adopting smart and scalable practices which could unleash data for the benefit of the institution, its collection, and its audiences. Challenges go beyond non-profit budgets in a very for-profit world and into the siloed behaviors learned from academia, practices borne of the uniqueness of museum collections, and the multi-faceted nature of modern museums which include not only curator, but conservators, educators, librarians, publishers, and increasing numbers of digital specialists. What have museums already done, what are they doing, and what are they preparing for, as big data becomes bigger and ever more-networked? The Role of the Research Library in Unpacking The Internet of Things Lauren di Monte, NCSU Libraries Fellow, Cyma Rubin Fellow, North Carolina State University
The Internet of Things (IoT) is a deceptively simple umbrella term for a range of socio-technical tools and processes that are shaping our social and economic worlds. Indeed, IoT represents a new infrastructural layer that has the power to impact decision-making processes, resources distribution plans, information access, and much more. Understanding what IoT is, how “things” get networked, as well as how IoT devices and tools are constructed and deployed, are important and emerging facets of information literacy. Research libraries are uniquely positioned to help students, researchers, and other information professionals unpack IoT and understand its place within our knowledge infrastructures and digital cultures. By developing and modeling the use of IoT devices for space and program assessment, by teaching patrons how to work with IoT hardware and software, and by developing methods and infrastructures to collect IoT devices and data, we can help our patrons unlock the potential of IoT and harness the power of networked knowledge.
Lauren Di Monte is a Libraries Fellow at NC State. In this role she develops programs that facilitate critical and creative engagements with technologies and develops projects to bring physical and traditional computing into scholarship across the disciplines. Her current research explores the histories and futures of STEM knowledge practices.
I’m not sure if the IoT will hit academic with the wave force of the Web in the 1990s, or become a minor tangent. What do schools have to do with Twittering refrigerators?
Here are a few possible intersections.
Changing up the campus technology space. IT departments will face supporting more technology strata in a more complex ecosystem. Help desks and CIOs alike will have to consider supporting sensors, embedded chips, and new devices. Standards, storage, privacy, and other policy issues will ramify.
Mutating the campus. We’ve already adjusted campus spaces by adding wireless coverage, enabling users and visitors to connect from nearly everywhere. What happens when benches are chipped, skateboards sport sensors, books carry RFID, and all sorts of new, mobile devices dot the quad? One British school offers an early example.
New forms of teaching and learning. Some of these take preexisting forms and amplify them, like tagging animals in the wild or collecting data about urban centers. The IoT lets us gather more information more easily and perform more work upon it. Then we could also see really new ways of learning, like having students explore an environment (built or natural) by using embedded sensors, QR codes, and live datastreams from items and locations. Instructors can build treasure hunts through campuses, nature preserves, museums, or cities. Or even more creative enterprises.
New forms of research. As with #3, but at a higher level. Researchers can gather and process data using networked swarms of devices. Plus academics studying and developing the IoT in computer science and other disciplines.
An environmental transformation. People will increasingly come to campus with experiences of a truly interactive, data-rich world. They will expect a growing proportion of objects to be at least addressable, if not communicative. This population will become students, instructors, and support staff. They will have a different sense of the boundaries between physical and digital than we now have in 2014. Will this transformed community alter a school’s educational mission or operations?
Rabey, Lisa. [Lita-L] Internet Of Things. 2016. E-mail.
A month or so ago, I asked on ALA Think Tank if anyone was using IoT in their libraries, and if so: what, how, when, where; details man, details! Other than someone asking me what the IoT is (https://en.wikipedia.org/wiki/Internet_of_Things), I got crickets.
Are you ready to deal with “denial of sleep” attacks? Those are attacks using malicious code, propagated through the Internet of Things, aimed at draining the batteries of your devices by keeping them awake.
Security. threats extend well beyond denial of sleep: “The IoT introduces a wide range of new security risks and challenges to the IoT devices themselves, their platforms and operating systems, their communications, and even the systems to which they’re connected.
Analytics. IoT will require a new approach to analytics. “New analytic tools and algorithms are needed now, but as data volumes increase through 2021, the needs of the IoT may diverge further from traditional analytics,” according to Gartner.
Device (Thing) Management. IoT things that are not ephemeral — that will be around for a while — will require management like every other device (firmware updates, software updates, etc.), and that introduces problems of scale.
Low-Power, Short-Range IoT Networks. Short-range networks connecting IT devices will be convoluted. There will not be a single common infrastructure connecting devices.
Low-Power, Wide-Area Networks. Current solutions are proprietary, but standards will come to dominate.
Processors and Architecture. Designing devices with an understanding of those devices’ needs will require “deep technical skills.”
Operating Systems. There’s a wide range of systems out there that have been designed for specific purposes.
Event Stream Processing. “Some IoT applications will generate extremely high data rates that must be analyzed in real time.
Platforms. “IoT platforms bundle many of the infrastructure components of an IoT system into a single product.
Standards and Ecosystems. as IoT devices proliferate, new ecosystems will emerge, and there will be “commercial and technical battles between these ecosystems” that “will dominate areas such as the smart home, the smart city and healthcare.
IFTTT gives you creative control over the products and apps you love.
it is as important as a concept, as it is a real, pragmatic approach to information and hardware.
It shows clearly, how programming becomes prevalent (even for no programmers) and why coding needs to be taught at school from a very early age
it provides a glimpse of what the Internet of Things will look like: Unique hardware with software triggers/actions is great for controlling your home: UP by Jawbone, Withings, SmartThings, the WeMo devices, and Harmony remotes from Belkin, Netatmo Weather Station, Philips Hue lightbulbs, and Google Glass have all been around a while. New hardware includes Amazon Echo, Automatic car connectors, Whistle Activity Monitors, Fitbit, GE Appliances, and the Nest Leaning Thermostat and Nest Protect $99.00 at Nest smoke detectors. (PC Magazine)
Will students be wearing their tech in virtual classrooms in five years? Wearable devices, adaptive technologies, and the Internet of Things are just some of the new tech researchers say is shaping the near future of higher education.
In 1 Year or Less: BYOD and the flipped classroom.
“Employers and higher education institutions are finding that when given the opportunity to choose their device, users are saved from the effort and time needed to get accustomed to new devices and can therefore accomplish tasks with more ease and efficiency.”
“Flipped learning is seen as especially suited for higher education because the rearranging of class time gives students in large introductory lecture courses more opportunity to engage and interact with their peers.”
In 2-3 Years: Makerspaces and wearable devices.
Makerspaces have the “benefit of engaging learners in creative, higher-order problem solving through hands-on design, construction and iteration.”
“Wearable technology is poised to see significant growth in the coming years, spurring experimentation in higher education because the demand for wearables is seen to be coming in large part from college-aged students.”
In 4-5 Years: Adaptive technologies and the Internet of Things.
“Adaptive technology is seen as a means to break free of a “one-size-fits-all” approach to education and is suited well for online and hybrid learning environments, “where student activities are conducted virtually and can be monitored by software and tracking applications.”
The Internet of Things pushes information to learners from their surroundings. “For instance, a learner exploring a city with a rich historical past can explore their environment through an architectural, political, or biological lens, depending on how the surroundings are equipped.”
From the NMC Horizon Report 2015: Higher Education Edition