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IDSS News October 2023

While every fall brings about new things, there are a few notable changes this semester at IDSS. For starters, I am serving as interim director for this academic year, which means I have the difficult job of filling founding director Munther Dahleh's shoes.


I am pleased to share that Dean Eckles, an IDSS faculty member in the MIT Sloan School of Management, has been appointed as an IDSS Associate Director. Dean's work on social networks, social media, and the spread of misinformation positions him at the intersection of big data, computing technology, human behavior, institutional policy, and critical societal challenges — in other words, right in the IDSS wheelhouse.


This year, IDSS is also fortunate to have MLK Visiting Scholar Tawanna Dillahunt with us. Tawanna's research focuses on equitable and inclusive computing; I encourage you to hear more about it at her upcoming talk!


Many IDSS faculty members have projects funded by MIT seed grants to explore the social implications of generative AI, including one led by researchers with the Initiative on Combatting Systemic Racism. The issue of who will benefit from AI was recently discussed at the Starr Forum, where it was noted that the coming years will bring about transformative technology changes — and with them, many important decisions. I'm excited to see this research develop, and to see what role IDSS and its community play in informing those decisions!


Best wishes for a fruitful fall,


Noelle Selin, Interim Director

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

Institute for Data, Systems, and Society (IDSS)

Who will benefit from AI?

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Who will benefit from AI?


In a campus talk moderated by IDSS Associate Director Fotini Christia, economist and IDSS faculty member Daron Acemoglu offers a vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.

Faculty

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A more effective experimental design for engineering a cell into a new state

A new AI method co-developed by IDSS faculty member Caroline Uhler could help identify new immuno-therapy techniques or regenerative therapies.

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To improve solar and other clean energy tech, look beyond hardware

A new study led by IDSS faculty member Jessika Trancik finds system deployment processes must be addressed to lower clean energy costs in the future.

Students and Alumni

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Improving air quality, equitably

Climate policy alone cannot meaningfully reduce racial and economic disparities in U.S. air pollution exposure, finds a new study by TPP alum Paul Picciano, SES alum Minghao Qiu, and IDSS Interim Director Noelle Selin.

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The value of long ties

A paper co-authored by SES alum Eaman Jahani and IDSS Associate Director Dean Eckles shows that maintaining relationships with distant contacts takes work but results in a more diverse network and increased access to economic opportunities.

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Scalable, sustainable energy systems for all Africans

Forbes 30-under-30 honoree Olamide Oladeji is a TPP alum, PhD student, MicroMasters learner, data scientist, and entrepreneur looking to answer climate change questions with help from advances in AI.

In the Media

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Ikigai lands $25M investment to bring generative AI to tabular data

Ikigai Labs, founded by IDSS faculty member Devavrat Shah, offers a no-code platform for prediction, sparse data reconciliation, and optimization.

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AI can help shape society for the better – but humans and machines must work together

"We need to be aware of, and thoughtfully design, the cultural values that AI is based on," argues IDSS faculty member D. Fox Harrell.

Events

MIT Policy Hackathon

November 17-19


Convened by IDSS and TPP students, the Policy Hackathon addresses societal challenges via data and policy analysis. Participants work in teams to develop creative policy solutions to real problems sponsored by partners in government, non-profit, and industry.


Watch

Video: How MIT students are combatting systemic racism with Python and data analysis

SES student Jessy Xinyi Han and TPP student Ben Lewis unpack how the IDSS Initiative on Combatting Systemic Racism (ICSR) provides researchers worldwide with data and tools to address systemic racism and inequality.

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What graph models, a branch of machine learning, like to learn

IDSS affiliate Stefanie Jegelka explores how models learn in order to improve success rates and adjust the processes for more focused results.

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Can financial engineering and data science help cure cancer?

IDSS faculty member Andrew Lo sees an important relationship between finance and healthcare — that might allow for better drug research.

Listen

New episode: Data Dilemmas in Health

Regina Barzilay

A cancer diagnosis led EECS professor Regina Barzilay, an expert on natural language processing, to collaborations in healthcare, where she has advanced imaging, prediction, drug discovery, and clinical AI. She joins the IDSS podcast to talk about data collection, privacy, bias, and “distributional shift” — when an algorithm is used on datasets with key differences from the data used to train it.

Read

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Adam Berinsky:

Political Rumors

IDSS affiliate Adam Berinsky examines how misinformation threatens the US system of government — and what we can do about it.

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Dick Larson: Model Thinking for Everyday Life

Dick Larson, IDSS Professor Post Tenure and "MIT lifer," offers accessible advice on solving everyday problems and making smarter decisions.

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