Institute for Data, Systems, and Society (IDSS) is committed to addressing complex societal challenges by advancing education and research at the intersection of statistics, data science, information and decision systems, and social sciences.

LIDS | February 13, 2019

LIDS Student Conference

The 24th annual LIDS Student Conference featured plenary speakers, a career panel, and student presentations on topics like Optimization and Algorithms, Networks, Machine Learning and Statistics, and Control Theory and Applications.

CSAIL | February 13, 2019

MIFODS hosts workshop on theoretical foundations of deep learning

The NSF-supported MIT Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop led by Statistics and Data Science Center affiliate Aleksander Madry aimed at tackling the underlying theory behind deep learning.

MIT News Office | February 12, 2019

Hamsa Balakrishnan on reimagining the future of transportation

IDSS affiliate Hamsa Balakrishnan is the associate head of the Department of Aeronautics and Astronautics at MIT. She is also the director of Transportation@MIT, where she is reimagining the scope of transportation research at MIT to include opportunities presented by data, intelligence, and autonomy.

Fri 22
Stochastics and Statistics Seminar Series

Capacity lower bound for the Ising perceptron

Nike Sun (MIT)
February 22, 2019 @ 11:00 am - 12:00 pm
Mar 01
Stochastics and Statistics Seminar Series

Why Aren’t Network Statistics Accompanied By Uncertainty Statements?

Eric Kolaczyk (Boston University)
March 1, 2019 @ 11:00 am - 12:00 pm
Mar 04
Conferences and Workshops

Women in Data Science (WiDS) – Cambridge, MA

March 4, 2019 @ 8:00 am - 5:00 pm
Mar 05
IDSS Distinguished Seminar Series

IDSS Distinguished Speaker Seminar – Sanjeev Arora

Sanjeev Arora (Princeton University)
March 5, 2019 @ 4:00 pm - 5:00 pm
Mar 08

Univariate total variation denoising, trend filtering and multivariate Hardy-Krause variation denoising

Aditya Guntuboyina (UC Berkley)
March 8, 2019 @ 11:00 am - 12:00 pm

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