ID3 Projects

World Economic Forum and Project Mustard Seed

Both founders of ID3, Sandy Pentland and John Clippinger, are also members of the World Economic Forum Leadership Telecom Council and have been active working with the WEF (http://www.weforum.org) in developing a new approach to protecting and sharing personal information as well as developing new approaches to “digital governance”. As part of that effort, we have undertaken Project Mustard Seed to develop an open mobile platform to support a variety of developmental initiatives in health, education, agriculture, and finance.

ID3 isProject Mustard Seed undertaking the development and deployment of an open, trusted and secure mobile platform where anyone anywhere can acquire, protect, share, and monetize data to enable self governing applications and services to improve their lives and the lives of others. The goal is to make this sufficiently simple and ubiquitous that anyone, anywhere can set up their own trusted social network and applications.

The Mustard Seed project represents an effort to focus the goals of the open governance platform around concrete use cases that can be field tested, revised and extended by the open source community.

Mustard Seed to Tree

indeed it is smaller than all seeds. But when it is grown, it is greater than the herbs, and becomes a tree, so that the birds of the air come and lodge in its branches.

Boston Public Schools After School Mobile Project

Boston Public Schools - Focus On ChildrenID3 has partnered with the Boston Urban Mechanics Program (http://www.cityofboston.gov/newurbanmechanics) and the Boston Public Schools (http://www.cityofboston.gov/bps) to develop a mobile application for sharing personal data and school related data among students, parents, teachers and designated third parties. The goal is to provide a trust framework and platform that would allow protected data sharing among different agencies about students and to enable students to participate in after school programs and third party services. This is part of a broader effort of collaboration with the City of Boston to develop a trust framework and mobile platform for civic participation. Dazza Greenwood, an attorney and founder of CIVICS.com, is involved in drafting the legal agreements for the City of Boston and for ID3’s open trust framework.

MIT Media Lab Human Dynamics Group

FunfFriends and Family Open Sensing Network

ID3 is also collaborating with the MIT Media Lab Human Dynamics Group (http://hd.media.mit.edu) on the Funf project (http://funf.media.mit.edu) to develop and test trust frameworks for the trusted sharing of mobile phone data. It is our shared belief that mobile platforms provide an enormous amount of valuable data about people’s health, affinities, purchasing behavior, and mobility, but at the same time raise significant challenges about preserving data. We are working closely with Funf researchers to address this problem so that people can have control over how their mobile data are to be shared.
Funf Process

Reality Analysis for Mobile Health Monitoring

Reality Analysis, a term coined by Sandy Pentland, involves collecting and analyzing the trail of data left behind as we go through our daily lives. A DARPA-funded project (http://www.darpa.mil/Our_Work/I2O/Programs/Detection_and_Computational_Analysis_of_Psychological_Signals_%28DCAPS%29.aspx) applies Reality Analysis to psychological health monitoring of soldiers back from the battlefield, in an effort to detect early signs of PTSD and depression. A key component of this project is a collaboration between MIT and Cogito Health, a company launched off Human Dynamics’ research.

The project targets development of enabling Trust Framework technology capabilities and governance mechanisms, in support of a mobile health use case that can provide multiple layers of trust, through the use of multiple, mutually reinforcing mechanisms. These include contractual governance and enforcement through binding legal agreements, Mobile Health anonymized IDs that cannot be traced back to device IDs, user selection of sharing levels, privacy technologies for anonymized aggregation, use of secure OAuth tokens for separation of authentication from service delivery, and encrypted storage of sensitive data.

Drawing on Funf sensor data collected from Android phones, data sets are scored and rolled up into DSM-IV constructs for PTSD and depression. In one visualization, a “health triangle” shows Sociability, Activity, and Focus. If the participant agrees to share his or her data anonymously into an aggregate data pool, a comparison is made against the average participant.

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