Sending clearer signals
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
Model beats Wall Street analysts in forecasting business financials
Using limited data, this automated system predicts a company’s quarterly sales.
The uncertain role of natural gas in the transition to clean energy
MIT study finds that challenges in measuring and mitigating leakage of methane, a powerful greenhouse gas, prove pivotal.
Technology and Policy Program launches Research to Policy Engagement Initiative
Initiative will support efforts to inform policy with scientific research.
School of Engineering third quarter 2019 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
MIT report provides guidance on climate-related financial disclosures
Recommendations could help companies deliver more useful disclosures to investors on risks they face due to climate change.
Shift to renewable electricity a win-win at statewide level
MIT research finds health savings from cleaner air exceed policy costs.
Lowering emissions without breaking the bank
New research provides a look at how India could meet its climate targets while maintaining economic growth
Health effects of China’s climate policy extend across Pacific
Improved air quality in China could prevent nearly 2,000 premature deaths in the U.S.
IDSS hosts inaugural Learning for Dynamics and Control conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Machine learning for everyone
A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.
Cracking open the black box of automated machine learning
Interactive tool lets users see and control how automated model searches work.
Empowering African farmers with data
Research from the Institute for Data, Systems, and Society aims to help African farmers increase their production and profits with better prediction.
MIT Policy Hackathon connects data-driven problem solvers
Interdisciplinary teams propose creative policy solutions addressing societal challenges at the Institute for Data, Systems, and Society student-organized event.
Building a community for statistics and data science at MIT and beyond
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.