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IDSS News February 2024

With the semester under way, I am looking forward to the many interesting conversations that will take place in the coming months, in and out of the classroom — including at upcoming IDSS events.


Coming up soon (Friday, March 8th) is the Women in Data Science (WiDS) Cambridge conference, an annual collaboration with Harvard and Microsoft that showcases ground-breaking business and research applications of data science being led by women in the field. Registration for this event is open and I encourage you to spend the day with us all genders are welcome to attend!


IDSS students organized another outstanding Policy Hackathon last fall, bringing together people from around the world who brought fresh perspectives, new ideas, and possible solutions to real-world challenges. This event is evidence of the impact that cross-disciplinary collaborations can have, as well as a demonstration of how complex data analysis can bring new insights to even the most intractable issues.


Lastly, in addition to sharing some stories from around IDSS — from a generative AI explainer to opinions on AI policy, from data privacy to data symmetry, and from our faculty and students to our ever-growing number of online learners — I want to call out one success in particular: a pilot effort to pair summer research students from MSRP to projects in the IDSS Initiative for Combatting Systemic Racism. There is a great need for this research, but there are also many people interested in doing it. This is a full circle collaboration that brings necessary perspectives to the work, provides opportunities for under-represented students, and helps develop a more diverse talent pool for graduate-level study. It takes a necessary step beyond examining inequity to making a difference in others’ lives — a step in the direction of real change.


Best wishes for the spring,


Noelle Selin, Interim Director, IDSS

Professor, IDSS and Earth, Atmospheric and Planetary Sciences (EAPS)

News

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Generating the policy of tomorrow

Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon, organized by students from IDSS and TPP, to develop data-informed policy solutions to challenges in health, housing, and more.

Read more
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Inclusive research for social change

The MIT Student Research Program (MSRP) pairs underrepresented students with opportunities to examine inequity through the IDSS Initiative for Combatting Systemic Racism.

Read more

Women in Data Science (WiDS) Cambridge 2024

Women in Data Science Worldwide - Cambridge

WiDS Cambridge 2024

Friday, March 8 Microsoft NERD Center

Learn how leading-edge researchers and companies are leveraging data science for success. An all-female lineup of speakers and panelists from academia and industry talk about the latest in data science-related research and applications.


Registration closes March 1st at 2:00pm

Register Now

Faculty

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How symmetry can come to the aid of machine learning

Stefanie Jegelka co-leads research showing that exploiting the symmetry within datasets can decrease the amount of data needed for training neural networks.

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Government support for electric vehicles is good for everyone

Transition to EVs needs increased support in policy for optimal impact against climate change, says IDSS faculty Jessika Trancik.

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Explained: Generative AI

IDSS faculty members Tommi Jaakkola and Devavrat Shah join other MIT experts to explain how powerful generative AI systems like ChatGPT work.

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AI needs to be more 'pro-worker.' These 5 policies can help

How generative AI will impact inequality and the future of work will depend on its implementation, argue authors including Daron Acemoglu.

Students and Alumni

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Quantifying cyber risk

TPP student Chelsea Conard models threats to cyber systems where data privacy and sensitivity are high, seeking comprehensive insights and benchmarks through close collaboration with the Federal Reserve and industry partners.


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Automated system teaches users when to collaborate with an AI assistant

MIT researchers including lead author and SES student Hussein Mozannar developed a customized onboarding process that helps a human learn when a model’s advice is trustworthy.

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AI accelerates problem-solving in complex scenarios

A new, data-informed approach developed by researchers including IDSS faculty Cathy Wu and SES student Sirui Li could lead to better solutions for tricky optimization problems like global package routing.

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"MIT can give you 'superpowers'"

A credential from the MicroMasters Program in Statistics and Data Science led learner Diogo da Silva Branco Magalhães to an accelerated graduate program in data science.

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Data Science and Machine Learning: Making Data-Driven Decisions

This 12 week online course is taught by IDSS faculty and offers mentorship from industry practitioners.


Apply now with Great Learning

Listen

IDSS Podcast: Data Nation

New episode: The case for AI optimism

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As an MIT professor and tech entrepreneur, Devavrat Shah has seen firsthand how AI tools can impact research, business, and careers. While some have dire warnings about the scale of harm AI can cause, Shah is optimistic. He joins the Data Nation podcast to dispel some doom and gloom, unpack ways that people are already using AI to make change for the better, and to examine how future benefits can emerge with regulation and education.

New episode: Profit and profiteering in the housing market

Maxwell Frost and Catherine D'Ignazio

When Maxwell Frost was elected to Congress, he struggled to find housing in DC. Today he advocates for stronger consumer protections and authors legislation to level the playing field between renters and landlords.


Frost joins Data Nation along with Catherine D’Ignazio, an Urban Science and Planning professor at MIT, to talk about the challenges renters and home buyers face, how algorithmic technology perpetuates discrimination, and the importance of understanding where data comes from and who benefits from using it.

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