Automating molecule design to speed up drug development
MIT News Office | July 6, 2018

Machine-learning model could help chemists make molecules with higher potencies, much more quickly.

Noelle Selin and Ken Oye

Noelle Selin and Ken Oye win 2018 Martore teaching award; 5 additional faculty awarded retroactively
June 25, 2018

The Technology and Policy Program curriculum underwent a periodic revision in 2017, merging Noelle Eckley Selin’s modeling subject into Ken Oye's longstanding subject 'Science, Technology, and Public Policy.'

left to right: TPP alumni Nathaniel H Fruchter SM '19, Ian Schneider SM '16 (current SES PhD), Tiziana Smith SM '15 (current CEE PhD), TPP Senior Researcher Frank Field, Manon Revel (current TPP student), Alejandro Noriega Campero SM '15 (current MAS PhD), Megan Jeramaz Lickley SM '12 (current EAPS PhD)

TPP and SES students win awards at annual Technology, Management, and Policy Consortium
June 21, 2018

Ian Schneider, an alum of the Technology and Policy Program (TPP) and current Social and Engineering Systems (SES) PhD student, won Senior Paper. The Junior Paper award went to Nathaniel Fruchter, a current TPP student.

A new computer chip, smaller than a U.S. dime and shown here with a quarter for scale, helps miniature drones navigate in flight.

Chip upgrade helps miniature drones navigate
MIT News Office | June 20, 2018

Low-power design will allow devices as small as a honeybee to determine their location while flying.

“Teaching is complementary with research,” says economics professor Alberto Abadie. “When you need to explain material that you believe you understand very well, that is when the real test is."

Method man
MIT News Office | June 19, 2018

Alberto Abadie refines the tools of economics — and gets some interesting results along the way.

Stefanie Jegelka and Elsa Olivetti

Fabrication of new materials: Designing “recipes” using artificial intelligence
MIT Energy Initiative | June 11, 2018

Professors Stefanie Jegelka (left) and Elsa Olivetti have developed a new method of formulating procedures for making novel materials for energy and other applications. Key to their method is a natural language processing system that can quickly search thousands of articles in past journals and pick out descriptions of procedures for making specific types of materials.

Through a set of four online courses developed by MIT faculty and delivered on edX, students will learn, implement, and experiment with data analysis techniques and machine learning algorithms.

MITx MicroMasters Program in Statistics and Data Science opens enrollment
MIT News Office | June 11, 2018

Program offers path to an accelerated master’s degree at seven universities.

Sertac Karaman, Eytan Modiano, Rajat Talak, and the LIDS logo

LIDS Researchers Win 2018 ACM MobiHoc Best Paper Award
LIDS News | June 8, 2018

LIDS faculty members Sertac Karaman and Eytan Modiano, along with LIDS student Rajat Talak, received the 2018 ACM MobiHoc Best Paper Award for their paper, "Optimizing Information Freshness in Wireless Networks under General Interference Constraints.”


IDSS congratulates 2018 graduates
June 8, 2018

IDSS and IDSS-affiliated graduates were awarded 22 doctoral degrees, 36 Masters of Science, 13 Masters of Engineering, and 6 undergraduates were awarded bachelor’s degrees with a Minor in Statistics and Data Science.


LIDS Student Matthew Brennan Wins Best Student Paper Award at COLT 2018
LIDS News | June 6, 2018

The paper, "Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure,” was coauthored by LIDS student Matthew Brennan, LIDS professor Guy Bresler, and RLE postdoc Wasim Huleihel.


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