News
Cutting mercury emissions in China
New research from TPP alum Kathleen Mulvaney and TPP director Noelle Selin shows how climate and air pollution policies can work together to maximize the reduction of mercury emissions.
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Caroline Uhler Granted Tenure
IDSS and LIDS faculty member Caroline Uhler has been granted tenure by the Department of Electrical Engineering and Computer Science (EECS).
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Zeroing in on decarbonization
TPP alum Nestor Sepulveda uses 'a unique computational framework blending optimization and data science, operations research, and policy methodologies' to describe potential pathways to combat climate change.
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Sending clearer signals
IDSS & LIDS professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
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MITEI’s 2019 Annual Research Conference highlights “energy at scale” and engagement as levers of decarbonization
IDSS professor Jessika Tranick joined faculty, students, and research staff from IDSS, MIT, and beyond to discuss the urgency of the climate crisis, collaborating on decarbonization, and the role of policy in combatting global temperature rise.
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Cybersecurity Experts Are Leaving the Federal Government. That’s a Problem.
The departures leave critical infrastructure, elections, data, and networks vulnerable, argues TPP alum and Tufts professor Josephine Wolff.
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Tracking emissions in China
New research from IDSS alum and MIT Sloan professor Valerie Karplus evaluates the impact of new air pollution standards on sulfur dioxide emissions by coal-burning power plants in China.
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Solutions For Economic Inequality From 2019 Nobel Prize Winners
Nobel Prize in Economics winners Esther Duflo, an IDSS affiliate, and Abhijit Banerjee discuss tackling tricky global challenges like economic inequality. Includes an excerpt from their book "Good Economics for Hard Times."
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A pioneer of wearable technology explains how it can connect instead of divide us
IDSS affiliate Sandy Pentland says businesses, governments, and individuals can design for more meaningful interaction by using sophisticated mobile sensors and big data to detect hidden patterns of human interaction.
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Model beats Wall Street analysts in forecasting business financials
A research team led by Devavrat Shah has built a model that outperforms Wall Street experts at predicting a company's sales using limited, noisy data like anonymized credit card transactions.
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