- For Students
Privacy is currently undergoing a phase transition as digital technologies collect, combine, and reveal deeply personal information about us at any unprecedented scale. This conference will bring together experts in computer science and public policy to examine three key questions that define the new era of “big privacy” — aggregate big-data style analytics applied to private data. This shift alters our understanding of what constitutes personal information. It raises new questions as monitoring expands from our computers to our everyday activities in the physical world. It calls for new approaches to measuring the collection and use of data, and the implications of inferences made from data. Academics, policymakers, and practitioners will convene in Princeton to discuss these challenges.
This event is being co-sponsored by the Center for Information Technology Policy and the Woodrow Wilson School of Public & International Affairs
Keynote: (10:00 AM – 10:30 AM)
Professor Edward Felten, Princeton University
“Online Privacy: It’s Time to Grow Up”
Panel 1: Beyond “Personally Identifiable Information” (10:30 AM – 12:00pm)
Moderator: Arvind Narayanan, Princeton University
Lunch Keynote: (12:00 PM – 1:30 PM)
Professor Kate Crawford
Microsoft Research and MIT Center for Civic Media
“Big Data Dilemmas: Bias, Signal Problems and Privacy”
Panel 2: Digital Privacy Moves Offline (1:30 PM – 3:00 PM)
We have traditionally thought of digital privacy as confined to the four corners of your computer screen. Digital data is increasingly collected in offline settings, and databases have crept into most aspects of our everyday lives. How should citizens and policymakers respond?
Moderator: Steven Roosa, Holland & Knight
Break (3:00 PM – 3:30 PM)
Panel 3: Measuring Privacy (3:30 PM – 5:00 PM)
How can we quantify the scope of big privacy? How can we understand which data is collected, how it is used, and how these practices affect our experiences? This panel will discuss the leading edge of measurement techniques, and what we can infer from what we can measure.
Moderator: Edward W. Felten, Princeton University
Driving directions to Princeton and campus maps are available on the Princeton Visitor Site.
Please see the Visitor Parking website for information regarding parking in the appropriate visitor lots on campus. You will probably want to park in Lot 21. There is also metered parking along William, Olden, and Prospect.
When coming by train from NYC, take the NJTransit northeast corridor line from New York Penn station to Princeton. When coming by train from Philadelphia, take the SEPTA train from Philadelphia to Trenton. Then take NJTransit northeast corridor line from Trenton Station to Princeton. In either case, you must change trains at Princeton Junction and take a smaller train called the “dinky” to Princeton, or take a cab to campus. When headed home, trains leave from the Princeton station roughly every half hour. Assume about two hours to go from Princeton Station to Philadelphia, New York Penn Station, or to get to your terminal at Newark Airport. If you are going to Newark Airport on NJTransit, be sure to buy the “Newark International Airport (EWR)” ticket rather than the “Newark” ticket — you will use this ticket to ride the airport shuttle train called the “Airtrain” to your terminal.
The Friend Center is within walking distance from the Princeton train station and from most parking lots. If you wish to take a shuttle instead of walking, refer to the shuttle tracking map for details of which shuttle to take. Your stop is Friend Center.
The Nassau Inn, Ten Palmer Square, Princeton, NJ 08542 – Phone: 609.921.7500. The Nassau Inn is within walking distance to campus.
The Hyatt Place Princeton, 3565 US Highway 1, Princeton, NJ 08540 – Phone: 609.799.0550. The Hyatt Place does provide shuttle bus service to campus.
The Residence Inn Princeton at Carnegie Center, 3563 US Route 1, Princeton, NJ 08540 – Phone: 609.720.0200. The Residence Inn does provide shuttle bus service to campus.
For more hotel options go to Campus Travel. Click on the left menu option “Hotels” and then select “Princeton Area Hotels.” (Ask for the Princeton rate. You may want to confirm with the hotel that they have shuttle service to campus.)