Session 1 – The Future of Voting

The role of technology in voting has gained increasing prominence over the past decade, creating interdisciplinary collaborations between political, computer, and data scientists. Voting data contains an abundance of information that goes beyond the actual vote. This session will look at the complexity of voting, the usability of computing technologies (such as cryptography) in designing future voting systems, and how data is playing a role in understanding and predicting voting patterns and the outcome of elections.

Opening Remarks by MIT President L. Rafael Reif and
Professor Munther Dahleh, Director of IDSS

Professor Charles Stewart, MIT

Mr. Nate Silver,

Professor Michael Alvarez, Caltech

Ms. Kassia DeVorsey, Chief Analytics Officer,
Messina Group Analytics

Question & Answer

Session 2 – Data Driven Policy

While communities are collecting more data than ever before to measure effects of public policy, such data sets tend to be quite small. With the absence of a control group, the assessment of existing policies and the design of new ones utilizing such data bring new challenges to statistics and data science. This panel will explore such challenges and will highlight how data analysis has been quite effective in some applications.

Professor Alberto Abadie, MIT

Professor Enrico Giovannini,
University of Rome Tor Vergata

Session 3 – Risk in Financial Systems

Recent research has been successful in deriving abstracted models of the interconnected financial systems that quantify systemic risk and address cascaded failures of such systems. However, combining such models with recorded data for the purpose of monitoring and mitigation continues to be a major research and practical challenge. This session will discuss such challenges, as well as the progress that has been made.

Professor Asu Ozdaglar, MIT

Professor Bengt Holmstrom, MIT

Session 4 – Social Networks

Social networks through social media have brought to bear very large data representing people’s preferences and opinions, and have highlighted effective incentive mechanisms. Such networks also impact and inform a variety of complex systems in our society. Such data has brought in new security and privacy challenges that have occupied much of the research in data science. This panel will look at new opportunities for understanding social networks and human behavior, as well as technological methods for ensuring security and privacy.

Remarks by Professor Ian A. Waitz,
Dean of the School of Engineering, MIT

Professor Ali Jadbabaie, MIT

Professor Jon Kleinberg, Cornell University

Professor Matthew Jackson, Stanford University

Dr. Jeannette M. Wing, Microsoft Research

Dr. Cynthia Dwork, Microsoft Research

Question & Answer

Session 5 – Future Electric Grid

The electric grid presents some of the most challenging engineering, social, and economic challenges of the future. With increased demands on electricity and increased penetration of renewable sources, the need for new innovations in dynamic demand response, spot markets, and distributed control is rapidly increasing. This session will discuss some of these challenges and current work.

Professor Bob Armstrong, MIT

Professor William Hogan, Harvard University

Professor Michael Greenstone, University of Chicago

Professor Sally Benson, Stanford University

Professor Steven Low, Caltech

Session 6 – Student Session

Student Session Chair: Professor Sandy Pentland, MIT

Session 7 – Analyzing our Health

The collection, aggregation, and analysis of medical data presents possibilities for future healthcare developments, including opportunities for personalized medicine and patient care. The use of big data in medicine also raises serious questions about patient privacy. This session will discuss ways in which the practice of medicine is being transformed by data.

Remarks by Professor Melissa Nobles,
Dean of the School of Humanities, Arts, and Social Sciences, MIT

Moderator: Professor Peter Szolovits, MIT

Dr. DJ Patil, U.S. Office of Science and Technology Policy

Dr. John Halamka, MD,Chief Information Officer,
Beth Israel Deaconess Medical Center

Professor Deborah Estrin, Cornell

Dr. Elazer Edelman, MD, Brigham & Women’s Hospital &
Professor of Medicine at Harvard Medical School of Medicine (HMS) and
MIT Health Sciences and Technology Program (HST)

Question & Answer

Session 8 – Driving Smart Cities Forward

Cities will become increasingly interconnected through an ever-expanding “internet of things,” allowing governments, urban planners and engineers access to massive amounts of data about urban life. This data is being used to design, plan, and structure cities in the United States and around the world. This session seeks to explore the many facets of smart-cities research, design, planning, and transportation.

Moderator: Professor Sarah Williams, MIT

Keynote: Dr. Steven Koonin, NYU

Professor Rob Kitchin, Maynooth University

Professor Balaji Prabhakar, Stanford University

Professor Susan Crawford, Harvard Law School

Professor Alexandre Bayen, UC Berkeley

Question & Answer

Session 9 – From Applications to Theory

While applications have their own nuances, there are overarching challenges that need to be identified and addressed. These include, among others, fundamental questions in prediction, robustness/risk, computation, system architecture, and privacy. This session will address some of the emerging challenges in these foundational fields in this new era of large data and complex systems.

Moderator: Professor Caroline Uhler, MIT

Professor Allen Tannenbaum, Stony Brook University

Professor Elchanan Mossel, MIT

Professor David Tse, Stanford University

Professor Vincent Blondel, Rector,
Université catholique de Louvain

Question & Answer, Closing Remarks