PEIR is based on multiple avenues of research in a variety of fields including: computer science, engineering, statistics, urban planning, environmental science, user interface design and visualization. Below are recent publications about PEIR and the underlying science.
E. Agapie, G. Chen, D. Houston, E. Howard, J. Kim, M.Y. Mun, A. Mondschein, S. Reddy, R. Rosario, J. Ryder, A. Steiner, J. Burke, E. Estrin, M. Hansen, M. Rahimi, “Seeing Our Signals: Combining location traces and web-based models for personal discovery,” Ninth Workshop on Mobile Computing Systems and Applications (HotMobile), February 25-26, 2008. PDF
J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, M. B. Srivastava. “Participatory sensing,” World Sensor Web Workshop, ACM Sensys 2006, Boulder, Colorado, October 31, 2006. PDF
D. Cuff, M. Hansen, J. Kang. “Urban sensing: out of the woods.” Communications of the ACM 51(3):24-33, 2008. PDF
PEIR has been designed for people who want to be more conscious of their personal impact and exposure on the environment. Currently, PEIR is private beta, but if you'd like to be notified when PEIR is open for new user registration, please sign up for e-mail alerts. We'll never spam. Promise.