While employers increasingly demand that new hires have college degrees, the transcripts supporting those hard-earned credentials are no longer the most informative tool students have to exhibit their skills.
An estimated 1 in 5 institutions issue digital badges, which can be posted to social media, stored on digital portfolios and displayed by other specially designed platforms. When clicked on, the badge lists a range of skills a student has demonstrated beyond grades.
“The reason they’re taking off in higher education is most employers are not getting the information they need about people emerging from higher ed, with previous tools we’ve been using,” says Jonathan Finkelstein, founder and CEO of the widely used badging platform Credly. “The degree itself doesn’t get to level of describing particular competencies.”
For instance, a Notre Dame student who goes on a trip to Ecuador to build bridges can earn a badge for mastering the calculations involved in the construction, says G. Alex Ambrose, associate program director of e-portfolio assessment at the Indiana university’s Kaneb Center for Teaching & Learning.
Students can be pretty certain when they have passed calculus or creative writing, but they don’t always recognize when they’ve excelled in demonstrating soft skills such as critical thinking, communication and work ethic, says MJ Bishop, director of the system’s William E. Kirwan Center for Academic Innovation.
Badges have been most popular in the school of education—including with student teachers who, in turn, have created badges for the elementary and secondary classrooms where they’ve apprenticed, says Anna Catterson, the university’s educational technology director.
The campus library is another badging hotspot. Students there have earned microcredentials for research, 3D printing and other skills. These badges are being shared on LinkedIn and other platforms to obtain internships and scholarships.
The university runs faculty training sessions on badging and has established a review process for when faculty submit ideas for microcredentials.
One pothole to avoid is trying to create a schoolwide badge that’s standardized across a wide range of courses or majors. This can force the involvement of committees that can bog down the process, so it’s better to start with skills within single courses, says Ambrose at Notre Dame.
When creating a badge, system faculty have to identify a business or industry interested in that credential.
Badges that have the backing of a college or university are more impressive to job recruiters than are completion certificates from skill-building websites like Lynda.com.
Students won’t be motivated to earn a badge that’s a stock blue ribbon downloaded off the internet. Many institutions put a lot work into the design, and this can include harnessing expertise from the marketing department and graphic designers
“Netnography” has been developed for online community researchers. It is “net” plus “ethnography,” which is based on the traditional ethnography and combines with the qualitative analysis for online interactive contents forms of virtual community members. The aim of doing netnographic research is to study the subculture, interactive process and characteristics of collective behaviors of online communities (Kozinets 2009). Follow the development of Internet technology, the web–based method is more convenient and cost–effect in data collection. Members in virtual groups create a large number of interactive texts, pictures, network expressions and other original information over time, which provides an extremely rich database to researchers. Moreover, from the data collection’s point of view, this online observation method will not interfere with the whole research process, which is better than questionnaires and quantitative modeling (Moisander and Valtonen 2006). Additionally, Kozinets (2009) also pointed that netnogrpahy emphasize on the research background, observers not only focus on the text during communications but also need to pay attention to the characteristics of language, history, meaning and communication types. Even parse fonts, symbols, images and photo data. These content of studies are significant in social communication, which is called “Cultural Artifact.” On the other hand, netnography is based on traditional ethnography as a methodology; therefore it inherits the research processes of ethnographic method. Kozients (2009) reinterpreted these procedures for netnography as Firstly, to determine the research target and understand its cultural characteristics; Secondly, to collect and analyze information; Thirdly, to ensure the credibility of interpretation; Fourthly, pay attention to research ethics; Lastly, to obtain respondents feedbacks. To make my research adapting to this guidelines, I make my research process as 1. To target on Plymouth Chinese overseas students and to explain the Chinese guanxi; 2. To collect and analyze data through the existing WeChat group created by Plymouth Chinese Students and Scholars Association (CSSA); 3. To confirm the identity of key influencers in this virtual group; 4. To get feedbacks from respondent as much as possible.
Watkins, S. C. (2009). The Young and the Digital: What the Migration to Social-network Sites, Games, and Anytime, Anywhere Media Means for Our Future. Beacon Press.
p. 1 Digital Migration: young people’s historic move to the online world
p. 8 broadband adoption in 2005-6. p. 9 before broadband, Internet was more textual then visual. p. 11 broadband more then just expand technical capabilities paved the way for profund behavioral shifts and social transformation
Broadband did not create radically new online activities. But expand a relatively small collection of early adopting technophiles into a massive but highly differentiated public of netizens, world builders, blogger, gamers, social networkers, content creators
p. 19 Social Media 101 what schools are learning about themselves and young technology users.
p. 20 DOPA (the Delete Online Predators Act), p. 21 brought the elimination of most interactive web applications from public schools and libraries. Social-Web enthusiasts strongly opposed DOPA. ALA also.
p. 24 MacArthur Foundation’s white paper: Living and Learning with New Media”
p. 30 NTIA National Telecommunications and Information Administration
p. 36 mother allowed her teenage daughter to use Facebook. The one caveat: the mother would be able to access her daughter’s profile. A common practice. A mother of a fifteen year old boy who recently started using FB occasionally looks at his page. 2007 Pew writes that “41% of today’s teens believe that their parents monitor them after they’ve gone online.” This is not unusual.
p. 41 schools cannot punish for what happened at home. But what about what happened online? Referring to social media: when kids get into disagreements via FB, it often spills over into the schools.
p. 44 sexting.
p. 47 the very well connected: friending, bonding and community in the digital age
p. 52 Malcolm Wiley and Stuart Rice 1933 argued that technology such as the automobile and telephone hastened the unraveling of the social fabric of the American life.
p. 72 phatic exchanges. Vetere, Howward and Gibbs. Brief but sencere. Katz James E and Mark Aakhus call “perpetual contact.”
p. 75 Digital Gates
How race and class distinctions are shaping the digital world
dana boyd 2007 article “Viewing American Class Divisions through FB and MySpace.”
p. 77 Hargittai Facebook is more white then MySpace.
p. 99 television and social network sites represent two fundamentally different kinds of mediated experiences. Whereas television is about watching and consuming, SNS are primarily about doing and sharing.
p. 100 Paul Eastwick and Wendi Gardner There.com – the virtual world may not prove to be a perfect utopian gateway from the real world.
p. 103 We Play: the allure of social games, synthetic worlds and secnd lives.
p. 106 a growing number of young men are turning to interactive entertainment like games rather than television and movies as their first source for leisure and a desired choice for social interaction with their friends.
p. 131 heavy users of virtual worlds differ from the 68% of young people, who believe that online-only relationships can be as fulfilling as off-line relationships. Synthetic world users are much more likely to believe that online relationships can be just as fulfilling as off-line relationships.
p. 133 Hooked Rethinking the Internet addition debate
p. 134 valid mental disorder. Journal of American Psychiatry 2007 – Internet Addiction Disorder (IAD) for DSM-IV. P. 136 some of the problems researchers
Ungerer, L. M. (2016). Digital Curation as a Core Competency in Current Learning and Literacy: A Higher Education Perspective. The International Review of Research in Open and Distributed Learning, 17(5). https://doi.org/10.19173/irrodl.v17i5.2566
Dunaway (2011) suggests that learning landscapes in a digital age are networked, social, and technological. Since people commonly create and share information by collecting, filtering, and customizing digital content, educators should provide students opportunities to master these skills (Mills, 2013). In enhancing critical thinking, we have to investigate pedagogical models that consider students’ digital realities (Mihailidis & Cohen, 2013). November (as cited in Sharma & Deschaine, 2016), however warns that although the Web fulfils a pivotal role in societal media, students often are not guided on how to critically deal with the information that they access on the Web. Sharma and Deschaine (2016) further point out the potential for personalizing teaching and incorporating authentic material when educators themselves digitally curate resources by means of Web 2.0 tools.
p. 24. Communities of practice. Lave and Wenger’s (as cited in Weller, 2011) concept of situated learning and Wenger’s (as cited in Weller, 2011) idea of communities of practice highlight the importance of apprenticeship and the social role in learning.
criteria to publish a paper
Originality: Does the paper contain new and significant information adequate to justify publication?
Relationship to Literature: Does the paper demonstrate an adequate understanding of the relevant literature in the field and cite an appropriate range of literature sources? Is any significant work ignored?
Methodology: Is the paper’s argument built on an appropriate base of theory, concepts, or other ideas? Has the research or equivalent intellectual work on which the paper is based been well designed? Are the methods employed appropriate?
Results: Are results presented clearly and analyzed appropriately? Do the conclusions adequately tie together the other elements of the paper?
Implications for research, practice and/or society: Does the paper identify clearly any implications for research, practice and/or society? Does the paper bridge the gap between theory and practice? How can the research be used in practice (economic and commercial impact), in teaching, to influence public policy, in research (contributing to the body of knowledge)? What is the impact upon society (influencing public attitudes, affecting quality of life)? Are these implications consistent with the findings and conclusions of the paper?
Quality of Communication: Does the paper clearly express its case, measured against the technical language of the field and the expected knowledge of the journal’s readership? Has attention been paid to the clarity of expression and readability, such as sentence structure, jargon use, acronyms, etc.
Stanton, K. V., & Liew, C. L. (2011). Open Access Theses in Institutional Repositories: An Exploratory Study of the Perceptions of Doctoral Students. Information Research: An International Electronic Journal, 16(4),
We examine doctoral students’ awareness of and attitudes to open access forms of publication. Levels of awareness of open access and the concept of institutional repositories, publishing behaviour and perceptions of benefits and risks of open access publishing were explored. Method: Qualitative and quantitative data were collected through interviews with eight doctoral students enrolled in a range of disciplines in a New Zealand university and a self-completion Web survey of 251 students. Analysis: Interview data were analysed thematically, then evaluated against a theoretical framework. The interview data were then used to inform the design of the survey tool. Survey responses were analysed as a single set, then by disciple using SurveyMonkey’s online toolkit and Excel. Results: While awareness of open access and repository archiving is still low, the majority of interview and survey respondents were found to be supportive of the concept of open access. The perceived benefits of enhanced exposure and potential for sharing outweigh the perceived risks. The majority of respondents were supportive of an existing mandatory thesis submission policy. Conclusions: Low levels of awareness of the university repository remains an issue, and could be addressed by further investigating the effectiveness of different communication channels for promotion.
PLEASE NOTE:
the researchers use the qualitative approach: by interviewing participants and analyzing their responses thematically, they build the survey.
Then then administer the survey (the quantitative approach)
How do you intend to use a mixed method? Please share
Metaphors: A Problem Statement is like… metaphor — a novel or poetic linguistic expression where one or more words for a concept are used outside normal conventional meaning to express a similar concept. Aristotle l The DNA of the research l A snapshot of the research l The foundation of the research l The Heart of the research l A “taste” of the research l A blueprint for the study
digital object identifier (DOI) is a unique alphanumeric string assigned by a registration agency (the International DOI Foundation) to identify content and provide a persistent link to its location on the Internet. The publisher assigns a DOI when your article is published and made available electronically.
Why do we need it?
2010 Changes to APA for Electronic Materials Digital object identifier (DOI). DOI available. If a DOI is available you no longer include a URL. Example: Author, A. A. (date). Title of article. Title of Journal, volume(number), page numbers. doi: xx.xxxxxxx
Accodring to Sugimoto et al (2016), the Use of social media platforms for by researchers is high — ranging from 75 to 80% in large -scale surveys (Rowlands et al., 2011; Tenopir et al., 2013; Van Eperen & Marincola, 2011) .
There is one more reason, and, as much as you want to dwell on the fact that you are practitioners and research is not the most important part of your job, to a great degree, you may be judged also by the scientific output of your office and/or institution.
In that sense, both social media and altimetrics might suddenly become extremely important to understand and apply.
Shortly altmetrics (alternative metrics) measure the impact your scientific output has on the community. Your teachers and you present, publish and create work, which might not be presented and published, but may be widely reflected through, e.g. social media, and thus, having impact on the community.
How such impact is measured, if measured at all, can greatly influence the money flow to your institution
For EVEN MORE information, read the entire article:
Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2016). Scholarly use of social media and altmetrics: a review of the literature. Retrieved from https://arxiv.org/abs/1608.08112
Thelwall, M., & Wilson, P. (2016). Mendeley readership altmetrics for medical articles: An analysis of 45 fields. Journal of the Association for Information Science and Technology, 67(8), 1962–1972. https://doi.org/10.1002/asi.23501
Todd Tetzlaff is using Mendeley and he might be the only one to benefit … 🙂
Here is some food for thought from the article above:
Doctoral students and junior researchers are the largest reader group in Mendeley ( Haustein & Larivière, 2014; Jeng et al., 2015; Zahedi, Costas, & Wouters, 2014a) .
Studies have also provided evidence of high rate s of blogging among certain subpopulations: for example, approximately one -third of German university staff (Pscheida et al., 2013) and one fifth of UK doctoral students use blogs (Carpenter et al., 2012) .
Social data sharing platforms provide an infrastructure to share various types of scholarly objects —including datasets, software code, figures, presentation slides and videos —and for users to interact with these objects (e.g., comment on, favorite, like , and reuse ). Platforms such as Figshare and SlideShare disseminate scholars’ various types of research outputs such as datasets, figures, infographics, documents, videos, posters , or presentation slides (Enis, 2013) and displays views, likes, and shares by other users (Mas -Bleda et al., 2014) .
Frequently mentioned social platforms in scholarly communication research include research -specific tools such as Mendeley, Zotero, CiteULike, BibSonomy, and Connotea (now defunct) as well as general tools such as Delicious and Digg (Hammond, Hannay, Lund, & Scott, 2005; Hull, Pettifer, & Kell, 2008; Priem & Hemminger, 2010; Reher & Haustein, 2010) .
qualitative research
“The focus group interviews were analysed based on the principles of interpretative phenomenology”
if you are not podcast fans, I understand. The link above is a pain in the behind to make work, if you are not familiar with using podcast.
Here is an easier way to find it:
1. open your cell phone and go find the podcast icon, which is pre-installed, but you might have not ever used it [yet].
2. In the app, use the search option and type “stuff you should know”
3. the podcast will pop up. scroll and find “How the scientific method works,” and/or search for it if you can.
Once you can play it on the phone, you have to find time to listen to it.
I listen to podcast when i have to do unpleasant chores such as: 1. walking to work 2. washing the dishes 3. flying long hours (very rarely). 4. Driving in the car.
There are bunch of other situations, when you may be strapped and instead of filling disgruntled and stressed, you can deliver the mental [junk] food for your brain.
Earbuds help me: 1. forget the unpleasant task, 2. Utilize time 3. Learn cool stuff
Here are podcasts, I am subscribed for, besides “stuff you should know”:
TED Radio Hour
TED Talks Education
NPR Fresh Air
BBC History
and bunch others, which, if i don’t go a listen for an year, i go and erase and if i peruse through the top chart and something picks my interest, I try.
If I did not manage to convince to podcast, totally fine; do not feel obligated.
However, this podcast, you can listen to on your computer, if you don’t want to download on your phone.
It is one hour show by two geeks, who are trying to make funny (and they do) a dry matter such as quantitative vs qualitative, which you want to internalize:
1. Sometimes at minute 12, they talk about inductive versus deductive to introduce you to qualitative versus quantitative. It is good to listen to their musings, since your dissertation is going through inductive and deductive process, and understanding it, can help you control better your dissertation writing.
2. Scientific method. Hypothesis etc (around min 17).
While this is not a Ph.D., but Ed.D. and we do not delve into the philosophy of science and dissertation etc. the more you know about this process, the better control you have over your dissertation.
3. Methods and how you prove (Chapter 3) is discussed around min 35
4. dependent and independent variables and how do you do your research in general (min ~45)
Shortly, listen and please do share your thoughts below. You do not have to be kind to this source offering. Actually, be as critical as possible, so you can help me decide, if I should offer it to the next cohort and thank you in advance for your feedback.
Understanding what sources to trust is a basic tenet of media literacy education.
Think about how this might play out in communities where the “liberal media” is viewed with disdain as an untrustworthy source of information…or in those where science is seen as contradicting the knowledge of religious people…or where degrees are viewed as a weapon of the elite to justify oppression of working people. Needless to say, not everyone agrees on what makes a trusted source.
Students are also encouraged to reflect on economic and political incentives that might bias reporting. Follow the money, they are told. Now watch what happens when they are given a list of names of major power players in the East Coast news media whose names are all clearly Jewish. Welcome to an opening for anti-Semitic ideology.
In the United States, we believe that worthy people lift themselves up by their bootstraps. This is our idea of freedom. To take away the power of individuals to control their own destiny is viewed as anti-American by so much of this country. You are your own master.
Children are indoctrinated into this cultural logic early, even as their parents restrict their mobility and limit their access to social situations. But when it comes to information, they are taught that they are the sole proprietors of knowledge. All they have to do is “do the research” for themselves and they will know better than anyone what is real.
Many marginalized groups are justifiably angry about the ways in which their stories have been dismissed by mainstream media for decades.It took five days for major news outlets to cover Ferguson. It took months and a lot of celebrities for journalists to start discussing the Dakota Pipeline. But feeling marginalized from news media isn’t just about people of color.
Keep in mind that anti-vaxxers aren’t arguing that vaccinations definitively cause autism. They are arguing that we don’t know. They are arguing that experts are forcing children to be vaccinated against their will, which sounds like oppression. What they want is choice — the choice to not vaccinate. And they want information about the risks of vaccination, which they feel are not being given to them. In essence, they are doing what we taught them to do: questioning information sources and raising doubts about the incentives of those who are pushing a single message. Doubt has become tool.
Addressing so-called fake news is going to require a lot more than labeling. It’s going to require a cultural change about how we make sense of information, whom we trust, and how we understand our own role in grappling with information. Quick and easy solutions may make the controversy go away, but they won’t address the underlying problems.
boyd, danah. (2014). It’s Complicated: The Social Lives of Networked Teens (1 edition). New Haven: Yale University Press.
p. 8 networked publics are publics that are reconstructed by networked technologies. they are both space and imagined community.
p. 11 affordances: persistence, visibility, spreadability, searchability.
p. technological determinism both utopian and dystopian
p. 30 adults misinterpret teens online self-expression.
p. 31 taken out of context. Joshua Meyrowitz about Stokely Charmichael.
p. 43 as teens have embraced a plethora of social environment and helped co-create the norms that underpin them, a wide range of practices has emerged. teens have grown sophisticated with how they manage contexts and present themselves in order to be read by their intended audience.
p. 54 privacy. p. 59 Privacy is a complex concept without a clear definition. Supreme Court Justice Brandeis: the right to be let alone, but also ‘measure of th access others have to you through information, attention, and physical proximity.’
control over access and visibility
p. 65 social steganography. hiding messages in plain sight
p. 69 subtweeting. encoding content
p. 70 living with surveillance . Foucault Discipline and Punish
p. 77 addition. what makes teens obsessed w social media.
p. 81 Ivan Goldberg coined the term internet addiction disorder. jokingly
p. 89 the decision to introduce programmed activities and limit unstructured time is not unwarranted; research has shown a correlation between boredom and deviance.
My interview with Myra, a middle-class white fifteen-year-old from Iowa, turned funny and sad when “lack of time” became a verbal trick in response to every question. From learning Czech to trakc, from orchestra to work in a nursery, she told me that her mother organized “98%” of her daily routine. Myra did not like all of these activities, but her mother thought they were important.
Myra noted that her mother meant well, but she was exhausted and felt socially disconnected because she did not have time to connect with friends outside of class.
p. 100 danger
are sexual predators lurking everywhere
p. 128 bullying. is social media amplifying meanness and cruelty.
p. 131 defining bullying in a digital era. p. 131 Dan Olweus narrowed in the 70s bulling to three components: aggression, repetition and imbalance on power. p. 152 SM has not radically altered the dynamics of bullying, but it has made these dynamics more visible to more people. we must use this visibility not to justify increased punishment, but to help youth who are actually crying out for attention.
p. 153 inequality. can SM resolve social divisions?
p. 176 literacy. are today’s youth digital natives? p. 178 Barlow and Rushkoff p. 179 Prensky. p. 180 youth need new literacies. p. 181 youth must become media literate. when they engage with media–either as consumers or producers–they need to have the skills to ask questions about the construction and dissemination of particular media artifacts. what biases are embedded in the artifact? how did the creator intend for an audience to interpret the artifact, and what are the consequences of that interpretation.
p. 183 the politics of algorithms (see also these IMS blog entrieshttps://blog.stcloudstate.edu/ims?s=algorithms) Wikipedia and google are fundamentally different sites. p. 186 Eli Pariser, The Filter Bubble: the personalization algorithms produce social divisions that undermine any ability to crate an informed public. Harvard’s Berkman Center have shown, search engines like Google shape the quality of information experienced by youth.
p. 192 digital inequality. p. 194 (bottom) 195 Eszter Hargittai: there are signifficant difference in media literacy and technical skills even within age cohorts. teens technological skills are strongly correlated with socio-economic status. Hargittai argues that many youth, far from being digital natives, are quite digitally naive.
p. 195 Dmitry Epstein: when society frames the digital divide as a problem of access, we see government and industry as the responsible party for the addressing the issue. If DD as skills issue, we place the onus on learning how to manage on individuals and families.
p. 196 beyond digital natives
Palfrey, J., & Gasser, U. (2008). Born Digital: Understanding the First Generation of Digital Natives (1 edition). New York: Basic Books.
John Palfrey, Urs Gasser: Born Digital
Digital Natives share a common global culture that is defined not by age, strictly, but by certain attributes and experience related to how they interact with information technologies, information itself, one another, and other people and institutions. Those who were not “born digital’ can be just as connected, if not more so, than their younger counterparts. And not everyone born since, say 1982, happens to be a digital native.” (see also https://blog.stcloudstate.edu/ims/2018/04/15/no-millennials-gen-z-gen-x/
p. 197. digital native rhetoric is worse than inaccurate: it is dangerous
many of the media literacy skills needed to be digitally savvy require a level of engagement that goes far beyond what the average teen pick up hanging out with friends on FB or Twitter. Technical skills, such as the ability to build online spaces requires active cultivation. Why some search queries return some content before others. Why social media push young people to learn how to to build their own systems, versus simply using a social media platforms. teens social status and position alone do not determine how fluent or informed they are via-a-vis technology.
distributed computing + power encryption = the future of Internet
the Dark Net is going mainstream, liberty, freedom, democracy; neither entirely dark, not entirely light, both things
The threat that tech monopolies pose to democracies is about more than the prices they charge: it’s the concentration of power, data and control over the public space — and their ability to wield this power over a growing number of economic activities, especially in the infrastructure and technologies of the future. The following companies operate as either monopolies or oligopolies in their respective fields: Google, Facebook, Uber, Airbnb, Amazon, Twitter, Instagram, Spotify. Integrated into everything, everywhere, their technology will blanket the world.
cultural hegemony.” That is, where domination can be achieved through controlling the ideas and assumptions available to the public. The idea, associated with philosopher and politician Antonio Gramsci
In 1995, left-wing academics Richard Barbrook and Andy Cameron detailed the philosophy and ideas of the new tech wunderkinds, christening it “The Californian Ideology.” This ideology represented a fusion of the cultural bohemianism of San Francisco and entrepreneurial free market zeal.
All you needed to get to utopia was a belief in “disruption,” the idea that progress is achieved through smashing up old industries and institutions and replacing them with something new and digital.
Money and ideas in Silicon Valley have a very complicated relationship. Silicon Valley runs according to a Faustian pact: money in exchange for world-changing ideas.
Over the years, the big tech firms have very carefully cultivated the Californian Ideology. Even though they are massive multi-billion-dollar corporations with huge PR teams, they pitch themselves as anti-establishment.The worse these companies behave and the richer they become, the more they spend on looking cool and talking about fairness and community.
And to whom do we look in order to solve our collective social problems? It’s no longer the state, but the modern tech-geek superhero.
Total victory for the monopoly is not over economics or politics. It’s over assumptions, ideas and possible futures.
As Norwegian Refugee Council research found, 70 percent of Syrian refugees lack basic identification and documents showing ownership of property.
The global passport
Host nations certainly has a share in the damage, as they face problems concerning the accessibility of vital information about the newcomers — dealing with the undocumented refugee, the immigration service can’t gain the information about his/her health status, family ties or criminal record, or verify any other vital data that helps them make a decision. Needless to say, this may lead to the designation of refugee status being exploited by economic migrants, fugitives or even the war criminals that caused the mass displacement to begin with.
Another important issue is data security. Refugees’ personal identities are carefully re-established with the support of clever biometric systems set up by the U.N. Agency for Refugees (UNHCR). UNHCR registers millions of refugees and maintains those records in a database. But the evidence suggests that centralized systems like this could be prone to attacks. As a report on UNCHR’s site notes, Aadhaar — India’s massive biometric database and the largest national database of people in the world — has suffered serious breaches, and last year, allegations were made that access was for sale on the internet for as little as $8
Finland, a country with a population of 5.5 million, cannot boast huge numbers of refugees. For 2018, it set a quota of 750 people, mainly flying from Syria and the Democratic Republic of Congo. That’s way less than neighboring Sweden, which promised to take in 3,400. Nevertheless, the country sets a global example of the use of effective technology in immigration policy: It’s using blockchain to help the newcomers get on their feet faster.
The system, developed by the Helsinki-based startup MONI, maintains a full analogue of a bank account for every one of its participants.
Speaking at the World Economic Forum in Davos in January 2018, the billionaire investor and philanthropist George Soros revealed that his structures already use a blockchain in immigration policies
In 2017, Accenture and Microsoft Corp. teamed up to build a digital ID network using blockchain technology, as part of a U.N.-supported project to provide legal identification to 1.1 billion people worldwide with no official documents.
a Memorandum of Understanding (MOU) with blockchain platform IOTA to explore how the technology could increase efficiency.
Encyclopedia of Criminal Activities and the Deep Web
Countries all over the world are seeing significant increases in criminal activity through the use of technological tools. Such crimes as identity theft, cyberattacks, drug trafficking, and human trafficking are conducted through the deep and dark web, while social media is utilized by murderers, sex offenders, and pedophiles to elicit information and contact their victims. As criminals continue to harness technology to their advantage, law enforcement and government officials are left to devise alternative strategies to learn more about all aspects of these modern criminal patterns and behavior, to preserve the safety of society, and to ensure that proper justice is served. Regrettably, the lack of adequate research findings on these modern criminal activities is limiting everyone’s abilities to devise effective strategies and programs to combat these modern technology-related criminal activities.
In an effort to compile the most current research on this topic, a new major reference work titled Encyclopedia of Criminal Activities and the Deep Web is currently being developed. This comprehensive Encyclopedia is projected to encompass expert insights about the nature of these criminal activities, how they are conducted, and societal and technological limitations. It will also explore new methods and processes for monitoring and regulating the use of these tools, such as social media, online forums, and online ads, as well as hidden areas of the internet including the deep and dark web. Additionally, this Encyclopedia seeks to offer strategies for predicting and preventing criminals from using technology as a means to track, stalk, and lure their victims.
You are cordially invited to share your research to be featured in this Encyclopedia by submitting a chapter proposal/abstract using the link on the formal call for papers page here. If your chapter proposal is accepted, guidelines for preparing your full chapter submission (which should be between 5,000-7,500 total words in length) can be accessed at: http://www.igi-global.com/publish/contributor-resources/ (under the “For Authors” heading – “Encyclopedia Chapter Organization and Formatting”).
Recommended topics for papers include, but are not limited to:
Bitcoin and Crime
Botnets and Crime
Child Exploitation
Contract Killing
Criminology
Cryptocurrency
Cyber Espionage
Cyber Stalking
Cybercrime
Cybercriminals
Cybersecurity Legislation
Cyberterrorism Fraud
Dark Web
Dark Web Vendors
Darknets
Data Privacy
Dating Websites and Crime
Deep Web
Drug Trafficking
E-Banking Fraud
Email Scams
Fraud and Internet
Gaming and Crime
Government Regulations of the Dark Web
Hacking and Crime
Hacktivism
Human Trafficking
Identity Theft
International Regulations of the Dark Web
Internet Privacy
Internet Regulations
Internet Safety & Crime
Online Advertisement Websites and Crime
Online Blackmail
Online Forums and Crime
Online Hate Crimes
Online Predators
Online Privacy
Social Media Deception
Social Networking Traps
Undercover Dark Web Busts
Undercover Operations
Vigilante Justice
Virtual Currencies & Crime
Whistleblowing
IMPORTANT DATES: Chapter Proposal Submission Deadline: October 15, 2018; Full Chapters Due: December 15, 2018
Note: There are no publication fees, however, contributors will be requested to provide a courtesy to their fellow colleagues by serving as a peer reviewer for this project for at least 2-3 articles. This will ensure the highest level of integrity and quality for the publication.
Should you have any questions regarding this publication, or this invitation, please do not hesitate to contact: EncyclopediaCADW@igi-global.com
Mehdi Khosrow-Pour, DBA Editor-in-Chief Encyclopedia of Criminal Activities and the Deep Web EncyclopediaCADW@igi-global.com
Artificial intelligence (AI) and machine learning are no longer fantastical prospects seen only in science fiction. Products like Amazon Echo and Siri have brought AI into many homes,
Kelly Calhoun Williams, an education analyst for the technology research firm Gartner Inc., cautions there is a clear gap between the promise of AI and the reality of AI.
Artificial intelligence is a broad term used to describe any technology that emulates human intelligence, such as by understanding complex information, drawing its own conclusions and engaging in natural dialog with people.
Machine learning is a subset of AI in which the software can learn or adapt like a human can. Essentially, it analyzes huge amounts of data and looks for patterns in order to classify information or make predictions. The addition of a feedback loop allows the software to “learn” as it goes by modifying its approach based on whether the conclusions it draws are right or wrong.
AI can process far more information than a human can, and it can perform tasks much faster and with more accuracy. Some curriculum software developers have begun harnessing these capabilities to create programs that can adapt to each student’s unique circumstances.
For instance, a Seattle-based nonprofit company calledEnlearn has developed an adaptive learning platform that uses machine learning technology to create highly individualized learning paths that can accelerate learning for every student. (My note: about learning and technology, Alfie Kohn in https://blog.stcloudstate.edu/ims/2018/09/11/educational-technology/)
GoGuardian, a Los Angeles company, uses machine learning technology to improve the accuracy of its cloud-based Internet filtering and monitoring software for Chromebooks. (My note: that smells Big Brother).Instead of blocking students’ access to questionable material based on a website’s address or domain name, GoGuardian’s software uses AI to analyze the actual content of a page in real time to determine whether it’s appropriate for students. (my note: privacy)
serious privacy concerns. It requires an increased focus not only on data quality and accuracy, but also on the responsible stewardship of this information. “School leaders need to get ready for AI from a policy standpoint,” Calhoun Williams said. For instance: What steps will administrators take to secure student data and ensure the privacy of this information?
