
Navigating the energy transition: batteries and policy in emerging economies
TPP student Mrigi Munjal’s research into sodium-ion batteries was complemented by an internship with a company aiming to accelerate the deployment of sustainable energy storage solutions in southern Africa.
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Statistics, operations research, and better algorithms
IDSS affiliate and MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.
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Honing robot perception and mapping
IDSS faculty member Luca Carlone and Jonathan How, both of MIT LIDS, discuss how future robots might perceive and interact with their environment.
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3 Questions: International collaborations in a shifting geopolitical climate
IDSS core faculty Fotini Christia, director of the MIT Sociotechnical Systems Research Center and chair of the International Advisory Committee, reflects on the committee’s work.
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3 Questions: Meet the Tata Fellows
Three TPP students—Serena Patel, Rameen Hayat Malik, and Ethan Harrison—discuss the impact of the Tata Fellowship on their research, perspectives, and time at MIT.
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The Dynamism of Human Patterns at MIT’s Civic Data Design Lab
Led by IDSS affiliate and urban studies professor Sarah Williams MCP ’05, the lab visualizes data on the movements of people—and moves audiences in the process
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MIT PhD student enhances STEM education in underrepresented communities in Puerto Rico
Through her organization, Sprouting, Dahleh Research Group member Taylor Baum is empowering teachers to teach coding and computer science in their classrooms and communities.
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Study: Microtargeting works, just not the way people think
In politics, tailored ads make sense, but with real limits to the tailoring, says study co-authored by researchers including IDSS affiliates David Rand and Adam Berinsky.
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Richard C. Larson named one of two 2023 ISSIP Fellows
The International Society of Service Innovation Professionals (ISSIP) named the IDSS professor, nicknamed "Dr. Queue," an ISSIP Fellow for 2023 for lifetime career achievements advancing the understanding and practice of service innovation.
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Bot detection software isn’t as accurate as it seems
A study by IDSS postdoc Zachary Schutzman and IDSS students Chris Hays, Erin Walk, and Philipp Zimmer finds that general-purpose bot-detection algorithms trained on a particular data set may be highly error-prone when applied in real-world contexts.
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