6 insights on managing through crisis
Work with remote work, facilitate peer-to-peer communication, confront supply chain shortfalls, and more.
Faculty
Alex `Sandy’ Pentland directs MIT’s Human Dynamics Laboratory and the MIT Media Lab Entrepreneurship Program, co-leads the World Economic Forum Big Data and Personal Data initiatives, and is a founding member of the Advisory Boards for Nissan, Motorola Mobility, Telefonica, and a variety of start-up firms. He has previously helped create and direct MIT’s Media Laboratory, the Media Lab Asia laboratories at the Indian Institutes of Technology, and Strong Hospital’s Center for Future Health.
In 2012 Forbes named Sandy one of the `seven most powerful data scientists in the world’, along with Google founders and the CTO of the United States, and in 2013 he won the McKinsey Award from Harvard Business Review. He is among the most-cited computational scientists in the world, and a pioneer in computational social science, organizational engineering, wearable computing(Google Glass), image understanding, and modern biometrics. His research has been featured in Nature, Science, and Harvard Business Review, as well as being the focus of TV features on BBC World, Discover and Science channels. His most recent book is `Honest Signals,' published by MIT Press.
Over the years Sandy has advised more than 50 PhD students. Almost half are now tenured faculty at leading institutions, with another one-quarter leading industry research groups and a final quarter founders of their own companies.
Sandy's research group and entrepreneurship program have spun off more than 30 companies to date, three of which are publicly listed and several that serve millions of poor in Africa and South Asia. Recent spin-offs have been featured in publications such as the Economist and the New York Times, as well as winning a variety of prizes from international development organizations.
Heroy, Samuel, Isabella Loaiza,Alex Pentland, and Neave O'Clery. Environment and Planning B: Urban Analytics and City Science (2022).
Adjodah, Dhaval, Karthik Dinakar, Matteo Chinazzi, Samuel P. Fraiberger, Alex Pentland, Samantha Bates, Kyle Staller, Alessandro Vespignani, and Deepak L. Bhatt, MIT Sloan Working Paper 6253-21. Cambridge, MA: MIT Sloan School of Management, 2021.
Lazer, David M.J., Alex Pentland, Duncan J. Watts, Sinan K. Aral, Susan Athey, Noshir Contractor, Deen Freelon, Sandra Gonzalez-Bailon, Gary King, Helen Margetts, Alondra Nelson, Matthew J. Salganik, Markus Strohmaier, Alessandro Vespignani, and Claudia Wagner. Science Vol. 369, No. 6507 (2020): 1060-1062.
Almaatouq, Abdullah and Alex Pentland. Sloan Management Review, June 2, 2020.
Almaatouq, Abdullah, Alejandro Noriega-Campero, Abdulrahman Alotaibi, P.M. Krafft, Mehdi Moussaid, and Alex Pentland. Proceedings of the National Academy of Sciences Vol. 117, No. 21 (2020).
Leng, Yan, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Julia Fensel, Alex Pentland, Ying Ding., MIT Sloan Working Paper 6116-20. Cambridge, MA: MIT Sloan School of Management, May 2020.
Work with remote work, facilitate peer-to-peer communication, confront supply chain shortfalls, and more.
The COVID-19 pandemic and ensuing economic crisis have revealed many ways in which American society isn’t working.
"Even as the government remains focused on containing the virus ..., policymakers and business leaders are starting to reopen the economy."
The Atlas of Inequality uses aggregated anonymous geolocation data from digital devices to estimate where people in U.S. cities spend their time.
This online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit. With a focus on the organizational and managerial implications of these technologies, rather than on their technical aspects, you’ll leave this course armed with the knowledge and confidence you need to pioneer its successful integration in business.
Machine learning, a branch of artificial intelligence, is the science of programming computers to improve their performance by learning from data. Dramatic progress has been made in the last decade, driving machine learning into the spotlight of conversations surrounding disruptive technology. This six-week online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) aims to demystify machine learning for the business professional – offering you a firm, foundational understanding of the advantages, limitations, and scope of machine learning from a management perspective.