Data

First row, left to right: Suvrit Sra, Frances Ross, Pulkit Agrawal, Kevin O’Brien, Richard Linares, and Cathy Wu. Second row, left to right: Negar Reiskarimian, Jacob Andreas, Giovanni Traverso, Manya Ghobadi, and Ashwin Gopinath.

School of Engineering welcomes new faculty

Eleven new professors join the MIT community.

January 9, 2019

Paul Michelman (left) and Ben Shields in the studio

MIT Sloan launches sports analytics podcast

“Counterpoints,” produced by MIT Sloan Management Review, aims to reveal fascinating insights about sports analytics.

December 12, 2018

MIT researchers find that the growing practice of compiling massive datasets about people’s movement patterns for urban planning and development research may, in fact, put people’s private data at risk — even if that data is anonymized.

The privacy risks of compiling mobility data

Merging different types of location-stamped data can make it easier to discern users’ identities, even when the data is anonymized.

December 7, 2018

The keynote address at the second annual AI and the Future of Work summit was delivered by Rosalin Acosta, Massachusetts Secretary of Labor and Workforce Development.

Artificial intelligence summit addresses impact of technology on jobs and global economy

Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.

November 15, 2018

The new GIS and Data Lab has expanded computing capabilities, more workstations, and expanded software offerings.

GIS and Data Lab now open in Rotch Library

MIT Libraries offer expanded resources in geographic information systems, data visualization, data management, and more for the Institute community.

November 13, 2018

MIT students participating in the Advanced Undergraduate Research Opportunities Program include: (clockwise from top left) Haripriya Mehta, Rohil Verma, Christabel Jemutai Sitienei, Andy Wei, Gabriel Margolis, and Mattie Wasiak.

The many interfaces of computing

A roundup of MIT student research projects offers a glimpse of where computing is going next.

November 11, 2018

A new machine-learning model that predicts whether ER patients suffering from sepsis may need to be switched to certain medications could help guide clinicians in sepsis care.

Machine-learning system could aid critical decisions in sepsis care

Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.

November 7, 2018

By analyzing the win/loss records of thousands of fantasy players over multiple seasons, MIT researchers have found that the game of fantasy football is inherently a contest that rewards skill.

Study: There’s real skill in fantasy sports

Researchers find most fantasy sports are based on skill, not luck.

November 7, 2018

Often, multiple Wikipedia editors will disagree on certain changes to articles or policies.

Why some Wikipedia disputes go unresolved

Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.

November 6, 2018

MIT researchers have developed a “semantic parser” that learns through observation to more closely mimic a child’s language-acquisition process, which could greatly extend computing’s capabilities.

Machines that learn language more like kids do

Computer model could improve human-machine interaction, provide insight into how children learn language.

October 31, 2018

The new model measures distances between words with similar meanings in “word embeddings,” and then aligns the words in both embeddings that are most closely correlated by relative distances, meaning they’re most likely to be direct translations of one another.

Model paves way for faster, more efficient translations of more languages

New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.

October 30, 2018

MIT student Amy Umaretiya helped kick off the HUBweek Policy Hackathon after months of planning.

HUBweek Policy Hackathon delivers local solutions

Citizens and data scientists produce actionable recommendations for high-priority Boston-area issues at Institute for Data, Systems, and Society student-run event.

October 22, 2018

MIT researchers have developed a cryptographic system that could help neural networks identify promising drug candidates in massive pharmacological datasets while keeping the data private, which could enable broader pooling of sensitive pharmacological data for predictive drug discovery.

Cryptographic protocol enables greater collaboration in drug discovery

Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.

October 18, 2018

MIT and MGH researchers have developed an automated deep-learning model, currently being used on real patients, that identifies dense breast tissue — a risk factor for breast cancer — in mammograms as reliably as expert radiologists.

Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms

Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.

October 16, 2018

Kevin Esvelt directs the Sculpting Evolution Group at MIT Media Lab

Taming “information hazards” in synthetic biology research

Cryptography techniques to screen synthetic DNA could help prevent the creation of dangerous pathogens, argues Professor Kevin Esvelt.

October 4, 2018

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