First Workshop on Hybrid Pervasive/Digital Inference
Conferences & Talks

description

Two different lines of research have developed around the topic of making inferences from data, which we see as coming together in the near future:

1. ...from the analysis of physical data captured directly by sensors of real-world behaviors. These data include streams of GPS and WiFi sensors, accelerometers, compasses, gyroscopes, audio, and video, which are often processed to infer location, motion, co-presence, and identity
2. ...from data captured about online behaviors. These include email messages, web browsing histories, application traces, and keystroke loggers, online calendars, document repositories, tagging databases, and social networks. Analysis of online data sources is performed to infer topics of interest, retrieve information, and enhance collaboration.

Smartphones have made it easy to collect physical data about people. Web 2.0 technologies have encouraged users to curate more information online. Together, these colliding trends will inferences more accurate, more detailed, more 24/7 than ever before... and will make completely new kinds of inferences possible.