• Veriplace
  • AT&T Interactive
  • DigitalGlobe
  • Google
  • Yahoo! Inc.
  • ZoomAtlas
  • Digital Map Products
  • Pitney Bowes Business Insight

Sponsorship Opportunities

For information on exhibition and sponsorship opportunities at the conference, contact Yvonne Romaine at [email protected]

Media Partner Opportunities

For media partnerships, contact [email protected] oreilly.com or download the Media & Promotional Partner Brochure (PDF)

Press and Media

For media-related inquiries, contact Maureen Jennings at [email protected]

Where 2.0 Newsletter

To stay abreast of conference news and to receive email notification when registration opens, please sign up for the Where 2.0 Conference newsletter (login required)

Where 2.0 Ideas

Have an idea for Where to share? [email protected]

Contact Us

View a complete list of Where 2.0 contacts

Telling Traces

Average rating
(3.88, 8 ratings)
Add your rating
Deborah Estrin (Computer Science Department, UCLA)
Location: Ballroom III - VI

Mobile smartphones can be easily programmed to automatically record GPS coordinates and accelerometer readings, creating geocoded, time-stamped, activity logs of our every day lives. When combined with the wealth of spatial data and models available on the web these activity traces can be used to make strong inferences. Moreover, even the simplest mobile phone can be used to capture time-stamped self-reported data; and, when supported by web-based applications to prompt, capture, and curate, these “tweets with a purpose” can create traces of your vital signs, medical symptoms, mood, eating habits, etc. Unlike much of the data captured by third party services and surveillance systems, our activity and self-report traces are already personally identified, legally reusable and releasable by the individual, and very easily processed. We have the opportunity to learn so much more about ourselves, at close to zero marginal cost. While it is true that since the pervasive adoption of credit cards, automatically-generated traces of our lives have been gathered, by and large this learning has not been easily actionable by individuals and the data (for better, not worse) has been used primarily by the collecting institutions. With the broad adoption of mobile phones and easily leveraged web/cloud services, we have the opportunity to capture, process, and learn from our own traces. In this talk Deborah will describe promising applications and suggest that it’s time to consider the technical and legal structures needed for individuals to retain control over their telling traces.

Photo of Deborah Estrin

Deborah Estrin

Computer Science Department, UCLA

Deborah Estrin is a Professor of Computer Science and Electrical Engineering at UCLA. She holds the Jon Postel Chair in Computer Networks, and is Founding Director of the National Science Foundation funded Center for Embedded Networked Sensing (CENS). CENS’ mission is to explore and develop innovative, end-to-end, distributed sensing systems, across an array of scientifically and socially relevant applications, from ecosystems to human systems. Estrin and her colleagues are currently exploring Participatory Sensing systems that leverage the location, motion, image, and attached-sensor data streams increasingly available globally from mobile phones; with particular emphasis on human and environmental health applications and on privacy-aware architectures. Estrin’s earlier research addressed Internet protocol design and scaling, in particular, inter-domain and multicast routing. She received her PhD in 1985 from MIT and her BS in 1980 from UC Berkeley, both in EECS. Estrin currently serves on the National Research Council’s Computer Science and Telecommunications Board (CSTB) and was previously a member of the NSF National Ecological Observatory Network (NEON) Advisory board, the NSF CISE Advisory Committee, and DARPA-ISAT. Estrin was selected as the first ACM-W Athena Lecturer in 2006 and was awarded the Anita Borg Institute’s Women of Vision Award for Innovation in 2007. She was elected to the American Academy of Arts and Sciences in 2007 and to the National Academy of Engineering in 2009. She is a fellow of the IEEE, ACM, and AAAS and was granted Doctor Honoris Causa from EPFL in 2008.