Featured Presenters

STEPHEN WOLFRAM is the creator of Mathematica and the Wolfram Language; the author of A New Kind of Science; and the founder and CEO of Wolfram Research. He has been a pioneer in the development and application of computational thinking, and has been responsible for many discoveries, inventions and innovations in science, technology and business. In May 2009, he released Wolfram|Alpha which has been widely regarded as a historic step in defining a new dimension for computation and artificial intelligence—and is now relied on by millions of people every day to compute answers both directly and through intelligent assistants such as Siri.

IYAD RAHWAN is a professor at the MIT Media Lab. His work lies at the intersection of artificial intelligence and computational social science. He has analyzed the societal repercussions of the increasing adoption of AI in markets and industries, including the future of job security and the ethics of self-driving cars. He oversaw the development of deep learning algorithms to transform images of faces and places into nightmares or war zones, in order to increase sensibility among the population. Moreover, his work on sentiment analysis includes a study of opinion aggregation on social media which is able to detect non-trivial human expressions, like sarcasm and dark humor.

YANEER BAR-YAM is a complexity scientist and president of the New England Complex Systems Institute. He has analyzed the structure and functional design of human brain and its relationship to human capabilities and behavior. He is the author of Making Things Work and Dynamics of Complex Systems, as well as articles applying complexity theory to organizational management, financial markets, social networks, military and ethnic conflicts, and other fields. He advises corporations, government agencies, and non-governmental organizations on solving complex problems.

ALFREDO J. MORALES is an Assistant Professor at the the New England Complex Systems Institute. He contributes to building a better understanding of social systems by developing computational and analytical methods based on complex systems science and data science. His work is at the intersection of computer science, statistics, applied physics and artificial intelligence. He analyzes large datasets that result from human activity on social media, internet, mobile phones or purchases in order to retrieve unstructured patterns of collective behaviors that explain large scale societal properties, such as social dynamics, urban dynamics, segregation, political engagement, political polarization and social influence.



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