South Korea winning the fight against coronavirus using big-data and AI
South Korea is using the analysis, information and references provided by this integrated data — all different real-time responses and information produced by the platform are promptly conveyed to people with different AI-based applications.
Whenever someone is tested positive for COVID-19, all the people in the vicinity are provided with the infected person’s travel details, activities, and commute maps for the previous two weeks through mobile notifications sent as a push system.
Libraries Look to Big Data to Measure Their Worth—And Better Help Students
counting how many times students use electronic library resources or visit in person, and comparing that to how well the students do in their classes and how likely they are to stay in school and earn a degree. And many library leaders are finding a strong correlation, meaning that students who consume more library materials tend to be more successful academically.
carefully tracking how library use compares to other metrics, and it has made changes as a result—like moving the tutoring center and the writing lab into the library. Those moves were designed not only to lure more people into the stacks, but to make seeking help more socially-acceptable for students who might have been hesitant.
a partnership between the library, which knows what electronic materials students use, and the technology office, which manages other campus data such as usage of the course-management system. The university is doing a study to see whether library usage there also equates to student success.
The issue of privacy also emerged during a session on libraries and data at the annual Educause conference earlier this month.
#FakeNews #DigitalRecommendationEngines interpretation of data, market dependency “stupid smart recommendation engines” monopolistic structure, keep competitiveness, big data, market concentration
Reinventing Capitalism in the Age of Big Data (Basic Books / Hachette, 2018) by Viktor Mayer-Schönberger and Thomas Ramge.
more on this broad topic in this IMS blog:
and in the LIB 290 blog:
Computational Propaganda: Bots, Targeting And The Future
February 9, 201811:37 AM ET ADAM FRANK
Combine the superfast calculational capacities of Big Compute with the oceans of specific personal information comprising Big Data — and the fertile ground for computational propaganda emerges. That’s how the small AI programs called bots can be unleashed into cyberspace to target and deliver misinformation exactly to the people who will be most vulnerable to it. These messages can be refined over and over again based on how well they perform (again in terms of clicks, likes and so on). Worst of all, all this can be done semiautonomously, allowing the targeted propaganda (like fake news stories or faked images) to spread like viruses through communities most vulnerable to their misinformation.
According to Bolsover and Howard, viewing computational propaganda only from a technical perspective would be a grave mistake. As they explain, seeing it just in terms of variables and algorithms “plays into the hands of those who create it, the platforms that serve it, and the firms that profit from it.”
Computational propaganda is a new thing. People just invented it. And they did so by realizing possibilities emerging from the intersection of new technologies (Big Compute, Big Data) and new behaviors those technologies allowed (social media). But the emphasis on behavior can’t be lost.
People are not machines. We do things for a whole lot of reasons including emotions of loss, anger, fear and longing. To combat computational propaganda’s potentially dangerous effects on democracy in a digital age, we will need to focus on both its howand its why.
more on big data in this IMS blog
more on bots in this IMS blog
more on fake news in this IMS blog
New Report Examines Use of Big Data in Ed
By Dian Schaffhauser 05/17/17
new report from the National Academy of Education “Big Data in Education,” summarizes the findings of a recent workshop held by the academy
three federal laws: Family Educational Rights and Privacy Act (FERPA), the Children’s Online Privacy Protection Act (COPPA) and the Protection of Pupil Rights Amendment (PPRA).
over the last four years, 49 states and the District of Columbia have introduced 410 bills related to student data privacy, and 36 states have passed 85 new education data privacy laws. Also, since 2014, 19 states have passed laws that in some way address the work done by researchers.
researchers need to get better at communicating about their projects, especially with non-researchers.
One approach to follow in gaining trust “from parents, advocates and teachers” uses the acronym CUPS:
- Collection: What data is collected by whom and from whom;
- Use: How the data will be used and what the purpose of the research is;
- Protection: What forms of data security protection are in place and how access will be limited; and
- Sharing: How and with whom the results of the data work will be shared.
Second, researchers must pin down how to share data without making it vulnerable to theft.
Third, researchers should build partnerships of trust and “mutual interest” pertaining to their work with data. Those alliances may involve education technology developers, education agencies both local and state, and data privacy stakeholders.
Along with the summary report, the results of the workshop are being maintained on a page within the Academy’s website here.
more on big data in education in this IMS blog
Big Data като Big Success
Анализът на масивите данни може да помогне на редица бизнеси да решават проблеми и да намаляват загубите и пропуснатите ползи, твърди Александър Ефремов
more on big data in this IMS blog
How Will Big Data Change The Way We Live?
more on big data in this IMS blog
What can the government do about big data fairness?
At a Ford Foundation conference dubbed Fairness by Design, officials, academics and advocates discussed how to address the problem of encoding human bias in algorithmic analysis. The White House recently issued a report on the topic to accelerate research into the issue.
The FTC released two studies on how big data is used to segment consumers into profiles and interests.
U.S. CTO Megan Smith said the government has been “creating a seat for these techies,” but that training future generations of data scientists to tackle these issues depends on what we do today. “It’s how did we teach our children?” she said. “Why don’t we teach math and science the way we teach P.E. and art and music and make it fun?”
“Ethics is not just an elective, but some portion of the main core curriculum.”
more on big data in this IMS blog:
Higher Ed Can Be a One-Two Punch
According to a recent survey, many colleges lack critical analytics skills to effectively leverage data.
More on analytics and big data in this IMS blog: