Want to design the car of the future? Here are 8,000 designs to get you started.
MIT engineers including IDSS faculty Faez Ahmed developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.
READ MORESo you want to build a solar or wind farm? Here’s how to decide where.
Researchers including IDSS faculty Saurabh Amin show how detailed mapping of weather conditions and energy demand can guide optimization for siting renewable energy installations.
READ MOREWhat do we know about the economics of AI?
Nobel laureate and IDSS faculty Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.
READ MORECommunity policing in the Global South
International research co-led by IDSS Director Fotini Christia finds an approach lauded in the US works differently in other regions.
READ MOREA data designer driven to collaborate with communities
Associate Professor Catherine D’Ignazio thinks carefully about how we acquire and display data — and why we lack it for many things.
READ MORETo design better water filters, MIT engineers look to manta rays
New research from team including IDSS faculty Anette “Peko” Hosoi shows the filter-feeders strike a natural balance between permeability and selectivity that could inform design of water treatment systems.
READ MOREGioele Zardini receives 2024 ETH Doctoral Dissertation Award
Thesis explores the contemporary era struggles with the intricate challenge of designing and operating “complex systems.”
READ MOREImproving health, one machine learning system at a time
Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.
READ MORENew AI tool generates realistic satellite images of future flooding
Method developed by researchers including IDSS faculty Dava Newman could help communities visualize and prepare for approaching storms.
READ MOREMIT researchers develop an efficient way to train more reliable AI agents
The technique developed by researchers including IDSS faculty Cathy Wu and SES student Sirui Li could make AI systems better at complex tasks that involve variability.
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