MEDIA LAB MIT Human Dynamics Laboratory
We have invented the technology of reality mining, which uses sensor data to extract subtle patterns that predict future human behavior. These predictive patterns begin with "honest signals," human behaviors that evolved from ancient primate signaling mechanisms, and which are major factors in human decision making in everything from job interviews to first dates. By using data from mobile phones, electronic ID badges, or digital media to track these honest signals, we can create a "god's eye" view of how the people interact, and even "see" the rhythms of interaction for everyone in a city. Management insights based on Honest Signals were Named a "Breakthrough Idea of 2009" by Harvard Business Review, and Reality Mining was declared "a technology poised to change the world" by Technology Review.
Science Publications American Scientist : To Signal Is Human Nature: Secret Signals Science:  Computational Social Science Collective Intelligence Time Critical Social Mobilization Harvard Business Review: Breakthrough Ideas World Economic Forum:  The New Deal on Data Personal Data: A New Asset Class Technology Review: Reality Mining Robert Wood Johnson: Reality Mining for Health Business Engineering Publications Forbes: Mining Human Behavior Newsweek: A Trillion Points of Data New York Times: Understanding Conversations Strategy+Business: Honest Signals Entrepreneurship Publications New York Times: Top Ten Internet Of Things Product Business Week: World’s Most Intriguing Startups ABC: Listening For Depression Financial Times: Entrepreneurship Videos World Economic Forum Understanding Your Company Reality Mining mHealth Reality Mining for Health Honest Signals Sensible Organizations OohLaLa	Technical Publications Publications and Technical Reports Awards Worlds Most Powerful Data Scientists 40th Anniversary of the Internet Grand Challenge 10 Technologies That Will Change The World Future Health Technology Award Carlos Ghosn Award for Automotive Design Projects To Get Involved With Open Source Sensing Social Evolution Sociometric Badges Reality Mining Influence Modeling Honest Signals Participating Centers MIT Center for Collective Intelligence MIT Center for Digital Business MIT Intelligence Initiative Helsinki Tech Software Institute Supporting Organizations Google Robert Wood Johnson Foundation Microsoft Research Nokia Research MIT Lincoln Laboratory US National Science Foundation US National Institutes of Health US Army Research Laboratory US Air Force Office of Sponsored Research US DARPA Collaborating Organizations World Economic Forum ID3		Core Members Prof. Alex Pentland, Director Yaniv Altshuler, PhD Fellow Joost Bonsen, Lecturer Manuel Cebrian, PhD Fellow Riley Crane, PhD Fellow Sai Moturu, PhD Fellow Nadav Aharony, PhD Candidate Yves-Alexandre de Montjoye, PhD Candidate Max Little, Wellcome PhDFellow Coco Krumme, PhD Candidate Bruno Lepri, PhD Fellow Ankur Mani, PhD Candidate Daniel Olguin-Olguin, PhD Candidate Wei Pan, PhD Candidate Galen Pickard, PhD Candidate Cody Sumter, MS Candidate Ben Waber, PhD Candidate Alumni View full list Collaborating Faculty Prof. Erik Brynjolfsson, MIT Prof. Win Burleson, ASU Dr. John Clippinger, Harvard Dr. Peter Gloor, MIT Dr. Inas Khayal, MIT & Masdar Institute Prof. David Lazer, Northeastern Prof. Tom Malone, MIT Prof. Maja Pantic, Imperial Dr. Todd G. Reid, Harvard & MIT Dr. Iyad Rahwan, MIT & Masdar Institute