Hi all: we're re-sending this because we learned that it was flagged as spam for many MIT inboxes. Apologies for any duplication. Thanks!
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Greetings,
Last month, IDSS co-hosted the Women in Data Science conference
– '
WiDS Cambridge'
– for the third year. It's a privilege to offer our support to this fantastic event, which connects data science experts and practitioners around the world and across disciplines. WiDS showcases women who are doing impactful research and work using data science tools. Big thanks go to our WiDS faculty planning committee: Caroline Uhler, Tamara Broderick, and Stefanie Jegelka, who gave a great talk this year exploring properties of neural networks and their ability to represent classes of functions.
More on WiDS can be found below, along with a look at what's been going on at IDSS the last few months. Our students and faculty continue to explore societal challenges like climate change, the spread of infectious diseases, and fake news. Meanwhile we see data transforming infrastructures like transportation -- something we're well positioned to research here at MIT and at IDSS. Lastly, our
online data science course begins its 10th run this May; soon after, our
MicroMasters will welcome its second cohort. Between both programs, IDSS has already provided learning for over 40,000 people around the world! I'm continually humbled by the scope of what IDSS and MIT are achieving through online education.
Last week was
SDSCon, a celebration of the statistics and data science community here at MIT and beyond. Our students also held another successful
Policy Hackathon. I look forward to sharing stories from these events in just a few months, when we look back at this year and celebrate our graduates. Until then, all the best.
Munther Dahleh, Director
William A. Coolidge Professor, Electrical Engineering and Computer Science
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IDSS co-hosted WiDS Cambridge, featuring women data scientists like Stefanie Jegelka and Esther Duflo.
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IDSS congratulates Hamsa Balakrishnan, Guy Bresler, Tamara Broderick, Dean Eckles, Stefanie Jegelka, and Suvrit Sra on reaching new career milestones.
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A dual Technology and Policy/AeroAstro student, Julia's research focuses on developing sensors and metrics for remote telehealth systems -- helpful in remote regions, essential for astronauts in space.
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Meet Igor, a PhD candidate with the Laboratory for Information & Decision Systems (LIDS) researching the development of network control algorithms to improve the quality of service in wireless networks.
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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.
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Marie Charpignon (Social and Engineering Systems) and Manon Revel (TPP / LIDS) presented research that uses computational tools at a celebration for the new Schwarzman College of Computing.
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Reflections from the UN Climate Change Conference, where students and alumni of our Technology and Policy Program wrestled with the difficulty and importance of climate action.
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Sarah Williams, IDSS affiliate and professor of technology and planning, combines her skills as a geographer, architect, data scientist, and city planner to create data for civic change.
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IDSS affiliate and Aero/Astro associate head Hamsa Balakrishnan reimagines the scope of transportation research at MIT to include opportunities presented by data, intelligence, and autonomy.
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Master the skills needed to solve complex challenges with data with an MIT MicroMasters.
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Turn your big data into even bigger results in this 7-week online course.
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MIT undergrad Eric Bradford on being a TA for our online course 'Data Science and Big Data Analytics: Making Data-Driven Decisions.'
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SDSC director Devavrat Shah on how our online data science course helps learners leverage data to make better decisions.
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A new study co-authored by IDSS affiliate David Rand shows that crowdsourced judgments about the quality of news sources may help marginalize online misinformation.
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IDSS affiliate Tommi Jaakkola and fellow CSAIL researchers are using machine learning to help doctors make decisions with incomplete health data.
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A new study co-authored by MIT economist and IDSS core faculty member Daron Acemoglu studies the interplay of institutions, political systems, and economies.
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MIT Institute for Data, Systems, and Society (IDSS)
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