American Civil Liberties Union

On Sunday, the New York Times published an extensive piece surveying the ways American universities are using their access to students’ information to tailor their college experiences. Universities collect a huge amount of data on their students—course selection and grades, past educational experience and standardized test scores, and other personal information. Austin Peay University analyzes a student’s data and suggests classes in which the student is likely to “succeed.” Arizona State University uses its data to identify students who are “off track” based on course selection and course results. ASU is also experimenting with using information on student swipes of ID cards around campus—at the gym, at the dining hall, at the dorm, at the library, etc.—to understand social ties. (Last week, my colleague Catherine Crump also wrote about universities experimenting with monitoring students’ internet usage to assess mental health.)

Yesterday I posted about the debate over profiling Muslims at the airport, and how Bruce Schneier persuasively argued that the concept, which seems so intuitively sensible to so many Americans, is a terrible idea even just from a security point of view. He also commented on the other, less tangible costs that such a scheme would impose, such as the alienation of Muslims from American life, and the corruption of our values.

Last week, the Senate Homeland Security Committee’s Subcommittee on Investigations issued a report criticizing the Department of Homeland Security for its failure to ensure proper oversight over state and local “fusion centers.”  Shortly thereafter, the committee issued a statement denouncing the report and lauding fusion centers as playing a “significant role in many recent terrorism cases.”

The New York Times Sunday Review included a striking op ed suggesting that universities could one day deploy software to analyze students’ internet usage for the purpose of assessing their mental health. The writers, Sriram Chellappan and Raghavendra Kotikalapudi, support their argument by explaining that they conducted a study on university students that demonstrated a correlation between depression and certain patterns of internet usage (for example, “very high e-mail usage”). The study involved screening 216 students at Missouri University of Science and Technology for depression and then having “the university’s information technology department provide us with campus Internet usage data for our participants . . . . This didn’t mean snooping on what the students were looking at or whom they were e-mailing; it merely meant monitoring how they were using the Internet” (so, for example, if they were surfing the web, checking email, using p2p programs, etc.).