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Testing the Effectiveness of Consumer Financial Disclosure: Experimental Evidence from Savings Accounts
Testing the Effectiveness of Consumer Financial Disclosure: Experimental Evidence from Savings Accounts | Consumer Finance Initiative | Savings Markets
Revenue Collapses and the Consumption of Small Business Owners in the Early Stages of the COVID-19 Pandemic
Revenue Collapses and the Consumption of Small Business Owners in the Early Stages of the COVID-19 Pandemic | Consumer Finance Initiative | Savings Markets
Implicit Extrapolation and the Beliefs Channel of Investment Demand
Consumer Finance Initiative | Household Finance Decisions | Implicit Extrapolation and the Beliefs Channel of Investment Demand
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.
How smaller firms can integrate collaborative robots
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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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.