ALBERT ALİ SALAH
Albert Ali Salah is an associate professor of computer engineering at Boğaziçi Univ., Turkey, and a designated associate professor at Future Value Creation Reseach Center at Nagoya University, Japan. He has co-authored over 150 publications on multimodal interfaces, pattern recognition, computer vision, and computer analysis of human behavior.
Albert has received the inaugural EBF European Biometrics Research Award (2006), BUVAK Award of Research Excellence (2014), and the BAGEP Award of the Science Academy (2016). He serves as a Steering Board member of ACM International Conference on Multimodal Interaction, and as associate editor of the Journal of Ambient Intelligence and Smart Environments, IET Computer Vision, IEEE Trans. on Cognitive and Developmental Systems, EAI Endorsed Transactions on Creative Technologies, IEEE Trans. Affective Computing, and Int. Journal on Human-Computer Studies. He is a Senior Member of IEEE, and a member of ACM.
Professor Alex ‘Sandy’ Pentland directs MIT’s Human Dynamics Laboratory and the MIT Media Lab Entrepreneurship Program, co-leads the World Economic Forum Big Data and Personal Data initiatives, and is a member of the Advisory Boards for Nissan, Motorola Mobility, Google, Telefonica, and a variety of start-up firms.
He has previously helped create and direct MIT’s Media Laboratory, the Media Lab Asia laboratories at the Indian Institutes of Technology, and Strong Hospital’s Center for Future Health.
In 2012 Forbes named Sandy one of the ‘seven most powerful data scientists in the world’, along with Google founders and the CTO of the United States He is among the most-cited computational scientists in the world, and a pioneer in computational social science, organizational engineering, wearable computing (Google Glass), image understanding, and modern biometrics. His research has been featured in Nature, Science, and Harvard Business Review, as well as being the focus of TV features on BBC World, Discover and Science channels. His most recent book is `Social Physics,’ published by The Penguin Press.
Sandy’s research group and entrepreneurship program have spun off more than 30 companies to date, three of which are publicly listed and several that serve millions of poor in Africa, South Asia, and Latin America. Recent spin-offs have been featured in publications such as the Economist and the New York Times, as well as winning a variety of prizes from international development organizations.
He is a Member of the Board of the Global Partnership for Sustainable Development Data (GPSDD).
Emmanuel Letouzé is the Director and co-Founder of Data-Pop Alliance, a coalition on Big Data and development co-created in 2013 by the Harvard Humanitarian Initiative, MIT Media Lab, Overseas Development Institute, joined in 2016 by the Flowminder Foundation as its 4th core member. He is a Visiting Scholar at MIT Media Lab, a Research Affiliate at HHI and a Research Associate at ODI. He is the author of UN Global Pulse’s White Paper “Big Data for Development” (2012) and of the 2013 and 2014 OECD Fragiles States reports. His research and work focus on Big Data’s application and implications for official statistics, poverty and inequality, conflict, crime, and fragility, climate change, vulnerability and resilience, and human rights, ethics, and politics.
He worked as a Development Economist for UNDP in New York from 2006-09 on fiscal policy, post-conflict economic recovery and migration, and between 2000-04 in Hanoi, Vietnam, for the French Ministry of Finance as a technical assistant in public finance and official statistics. He holds a BA in Political Science and an MA in Economic Demography from Sciences Po Paris, an MA from Columbia University School of International and Public Affairs, where he was a Fulbright Fellow, and a PhD from the University of California, Berkeley. He also a political cartoonist for various publications and media as ‘Manu’.
Patrick Vinck, PhD, is the co-Founder and co-Director of Data-Pop Alliance; he is the Harvard Humanitarian Initiative’s Director of Research, an Assistant Professor at the Harvard Medical School and Harvard T.H. Chan School of Public Health, and Lead Investigator at the Brigham and Women’s Hospital.
His current research examines resilience, peacebuilding, and social cohesion in conflicts and disaster settings, as well as the ethics of data and technology in the field. He is the co-Founder and Director of KoBoToolbox a data collection service. Prior to joining HHI in 2011, he founded the program at the University of California Berkeley’s Human Rights Center.
Bruno Lepri is senior researcher and head of the Mobile and Social Computing Lab (MobS Lab) at Fondazione Bruno Kessler (Trento, Italy). He is vice-coordinator of FBK’s Complex Data Analytics research line and the FBK responsible of MIT Connection Science - FBK alliance. Bruno is also a senior research affiliate of Data-Pop Alliance, the first think-tank on Big Data and Development co-created by the Harvard Humanitarian Initiative, MIT Media Lab, Overseas Development Institute, and Flowminder to promote a people-centered big data revolution. In 2010 he won a Marie Curie Cofund post-doc fellow and he has held post-doc positions at MIT Media Lab and FBK.
His research interests include computational social science, big data and personal data, human behavior understanding, and new models for personal data management and monetization. His research has received attention from several press outlets and obtained the best paper award at ACM Ubicomp 2014. His work on personal data management was one of the case studies discussed at the World Economic Forum.
YVES-ALEXANDRE de MONTJOYE
Yves-Alexandre de Montjoye is an Assistant Professor at Imperial College London, where he heads the Computational Privacy Group. His research aims at understanding how the unicity of human behavior impacts the privacy of individuals--through re-identification or inference--in rich high-dimensional datasets such as mobile phone, credit cards, or browsing data. Yves-Alexandre was recently named an Innovator under 35 for Belgium (TR35). His research has been published in Science and Nature SRep. and covered by the BBC, CNN, New York Times, Wall Street Journal, Harvard Business Review, Le Monde, Die Spiegel, Die Zeit, El Pais as well as in his TEDx talks. His work on the shortcomings of anonymization has appeared in reports of the World Economic Forum, United Nations, OECD, FTC, and the European Commission. Before coming to MIT, he was a researcher at the Santa Fe Institute in New Mexico.
Yves-Alexandre worked for the Boston Consulting Group and acted as an expert for both the Bill and Melinda Gates Foundation and the United Nations. He is a member of the WEF network on AI, IoT and the Future of Trust; the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems; and the OECD Advisory Group on Health Data Governance. He received in PhD from MIT in 2016 and obtained, over a period of 6 years, an M.Sc. from Louvain in Applied Mathematics, a M.Sc. (Centralien) from Ecole Centrale Paris, a M.Sc. from KULeuven in Mathematical Engineering as well as his B.Sc. in engineering at Louvain.
Xiaowen Dong is a lecturer in the Engineering Science Department and a faculty member of the Oxford-Man Institute, both at the University of Oxford. His research focuses on emerging signal processing and machine learning techniques on graphs, and their applications in understanding human behavior, decision making and societal changes. Prior to joining Oxford, he was a Postdoctoral Associate in the Human Dynamics Group of the MIT Media Lab, and received his PhD degree in Signal Processing from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.