Action Learning
Bridging real estate and data science
An increasing number of commercial real estate assets are becoming obsolete, due to shifting market conditions, evolving work patterns, and sustainability imperatives. JLL, a global leader in real estate services and solutions, needed a framework that would help predict this obsolescence, assess investment risk, and evaluate strategies for repositioning assets to maximize their long-term value. Working with a team of MIT Real Estate Lab (RE-Lab) students, they developed a predictive model to do the job.
Learn MoreBringing theory to life
Simply put, Action Learning is learning by doing. Following MIT’s “mens et manus,” or mind and hand philosophy, student teams apply classroom learning to real management opportunities and challenges to become principled, innovative leaders. Through this project work with host organizations, students learn how to work in teams, define and address problems, and reflect on their learning experiences. Though the content of each Action Learning lab or course is unique, these central themes remain the same.
Our impact
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Action Learning Enhancing AI-assisted coding at Google Colab
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Action Learning Space, robots, and a new AI frontier
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Action Learning Generative AI to advance human rights
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Action Learning Coming full circle
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Action Learning Music with a mission
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Action Learning From Malaysia to Brazil: Action Learning team reunites to make an impact