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How game theory explains ‘irrational’ behavior
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A new book explores how game theory explains seemingly irrational behavior, from tastes in food to how people donate to charity.
Crowdsourcing to better forecast drug approvals
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Growing importance of academia in accelerating biomedical innovation
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MIT researchers have developed a methodology for systematically tracking the outcomes of academic licensing transactions as a means of increasing funding to bridging the “valley of death.”
Gamification techniques to improve online teaching and learning
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A new study led by MIT Sloan Prof. Andrew W. Lo finds that borrowing ideas and tools from the gaming community can improve online teaching techniques and improve learning outcomes for students.
Machine learning, explained
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Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
New statistical approach to COVID-19 clinical trials aims to accelerate drug approval process and attract more funding
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The studies describe new methods for accelerating drug approvals during pandemics and for providing more accurate measures of the probabilities of success for clinical trials of vaccines.
Minglr: New open source software supports impromptu conversations
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‘Those ad-hoc interactions are what people miss in today’s work-from-home environment.’
Pandemic Response CoLab: New initiative to solve COVID-19 challenges
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The initiative is open to individuals, businesses and groups with the goal of developing a diverse, global community of problem solvers.
USA Lab: MIT graduate students to work with rural community groups to foster economic prosperity
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What are the sources of resilience and renewal in America’s small towns and rural areas?