Suvrit Sra receives NSF CAREER Award
Sra received the award for his research "Modern nonconvex optimization for machine learning: foundations of geometric and scalable techniques."
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Devavrat Shah wins 2019 ACM Sigmetrics Test of Time Paper Award
Shah, along with LIDS alumni Shreevatsa Rajagopalan and Jinwoo Shin, received the award for their paper “Network adiabatic theorem: an efficient randomized protocol for contention resolution.”
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Portraits of mentoring excellence
Eytan Modiano, professor of aeronautics and astronautics and associate director of the Laboratory for Information and Decision Systems (LIDS), is one of three honored by the Committed to Caring (C2C) program for great mentorship of MIT students.
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MIT Press and Harvard Data Science Initiative launch the Harvard Data Science Review
The inaugural issue of the new open-access journal, published by MIT Press and hosted online via PubPub, will feature leading global thinkers in the field of data science including IDSS core faculty member Andrew Lo.
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How credit unions could help people make the most of personal data
IDSS and Media Lab professor Alex 'Sandy' Pentland argues that credit unions could help consumers and workers band together to protect their data.
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Machine learning for everyone
IDSS affiliate Tommi Jaakkola co-designed 'Modeling with Machine Learning: From Algorithms to Applications,' a new course on applications of machine learning for students from a variety of disciplines.
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Daron Acemoglu named Institute Professor
Economist and IDSS faculty member Daron Acemoglu, whose far-ranging research agenda has produced influential studies about government, innovation, labor, and globalization, has been named Institute Professor, MIT’s highest faculty honor.
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Cool wireless
LIDS student Omer Tanovic is working to make wireless communication more energy efficient.
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Welcoming the 2019 Hammer Fellows
Meet the four incoming students in the IDSS Social and Engineering Systems doctoral program -- and the two postdocs -- who have joined the ranks of the Michael Hammer Society of Fellows.
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IDSS hosts inaugural ‘Learning for Dynamics and Control’ conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
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