Mark Zuckerberg: "At some point during the last several years, someone has probably accessed your public information." Yep. So why didn't you do something about it Zuck?

The recent revelations of Facebook’s sharing of user data with Cambridge Analytica is just the latest in a long line…

These sites you haven't heard of are sharing boatloads of data about you.

Facebook is in the spotlight, as the recent Cambridge Analytica story involving millions of users' data continues to melt news servers around the world. We strip away the complications and tell you exactly what happened, and why you may want to reconsider your use of social media platforms in 2018.

Using apps to get at friend data.

You give Facebook all of your data in exchange for using their service—an exchange that seems increasingly out of whack.

Our revelations about the harvesting of users’ data show that Mark Zuckerberg’s all-powerful company has little sense of responsibility

The experimental results show that the addition of campus integration and social behavior features refined using the ensemble method significantly improve prediction accuracy and recall. Traditional research in student retention is survey-based, relying on data collected from questionnaires, which is not optimal for proactive prediction and real-time decision (student intervention) support. Machine learning approaches have their own limitations. Therefore, in this research, we propose a big data approach to formulating a predictive model. We used commonly available (student demographic and academic) data in academic institutions augmented by derived implicit social networks from students’ university smart card transactions. Furthermore, we applied a sequence learning method to infer students’ campus integration from their purchasing behaviors. Since student retention data is highly imbalanced, we built a new ensemble classifier to predict students at-risk of dropping out. For model evaluation, we use a real-world dataset of smart card transactions from a large educational institution. The experimental results show that the addition of campus integration and social behavior features refined using the ensemble method significantly improve prediction accuracy and recall.

Sudha Ram's research tracks students' social interactions and daily routines via their CatCard usage — and leverages that information to make predictions about freshman retention. Fast Forward, a

What are the opportunities for technology in the arts – and what threats does it pose? Knight Foundation, which recently…

In Eindhoven, Utrecht and Assen smart projects are tackling everything from traffic to street crime. But with privacy laws being flouted and commercial companies in on the act, are things as benign as they seem?

The upcoming European General Data Protection Regulation (GDPR) prohibits the processing and exploitation of some categories of personal data (health, political orientation, sexual preferences,...

An emerging field, digital phenotyping, tries to assess people’s well-being based on their interactions with digital devices.

Connected cars are going to monetize data, but most drivers don’t know that.

When you walk into a brick and mortar retail store like a Nordstrom, Cabela, or even Family Dollar, you're being tracked around the store. Not by an over-suspicious security guard, but by the store's wireless network, using your phone's Wi-Fi. The store then uses your phone to track you around the store, determine if…

New software aims to help instructors understand students better, but raises privacy and practicality concerns.

Examining the technologies behind precision propaganda and political disinformation on the internet

"Data Stockholm Syndrome is the idea that we irrationally celebrate companies who capture lots of data about us – and then seem eager to blame everyone involved when we realize what that data can do."