COURSE STARTS
February 1, 2023
Registration closes February 7, 2023
PRICE
$1,850$1,572
Payment options available
Length:
6 weeks
Language:
English
Effort:
7-10 hours per week, self-paced online learning
COURSE STARTS
February 1, 2023
Registration closes February 7, 2023
PRICE
$2900 1,850
Payment options available
Length: 6 weeks
Language: English
Effort: 7-10 hours per week, self-paced online learning
WSJ+ members are invited to register for the Smart Mobility: Reimagining the Future of Transportation Tech & Sustainable Cities by MIT School of Architecture and Planning in collaboration with Esme Learning. As a part of this offer, learners will receive a 15% course cost reduction with code MITWSJ2022, alongside exclusive access to a white paper from Prof. Alex "Sandy" Pentland, Professor, Institute for Data Systems and Society, MIT Sloan School of Management. Upon completion of the course, participants will receive an additional $500 credit towards any future course with Esme Learning.
About the Smart Mobility: Reimagining the Future of Transportation Tech & Sustainable Cities Course
From autonomous driving technologies, to electric vehicles, to smart cities, innovations in mobility and transportation are reshaping our cities, changing how we live and creating new business opportunities.
Learners will explore the technical components of the mobility and computational industries to better understand historical cases and be able to apply concepts learned to an outside the box mobility idea.
In partnership with
Course: Smart Mobility: Re-imagining the Future of Transportation Tech & Sustainable Cities
Format: online, collaborative learning
Duration: 6 weeks
Effort: 7-10 hours per week
Price: $1,850$1,572
Certificate issued by: MIT School of Architecture + Planning
Language: English
Offer details*
An overview of the course, the next-generation AI platform used to deliver it and the community of fellow innovators and leaders.
After completing this module, learners will be able to:
After completing this module, learners will be able to:
After completing this module, learners will be able to:
After completing this module, learners will be able to:
After completing this module, learners will be able to:
After completing this module, learners will be able to:
Jinhua Zhao is the director of the MIT Smart Mobility Initiative and Associate Professor of City and Transportation Planning at the Massachusetts Institute of Technology (MIT). Prof. Zhao brings behavioral science and transportation technology together to shape travel behavior, design mobility systems and reform urban policies. He develops methods to sense, predict, nudge and regulate travel behavior and designs multimodal mobility systems that integrate automated and shared mobility with public transport. He sees transportation as a language to describe a person, characterize a city and understand an institution and aims to establish the behavioral foundation for transportation systems and policies. Prof. Zhao directs the JTL Urban Mobility Lab and Transit Lab at MIT, co-directs the Mobility Systems Center of the MIT Energy Initiative and leads long-term research collaborations with major transportation authorities and operators worldwide, including London, Chicago, Hong Kong and Singapore.
Annie Hudson is the Program Manager for MIT’s Smart Mobility Initiative and a researcher with the MIT JTL Urban Mobility Lab. Her research focuses on preparing cities for next-generation transportation technologies. She has worked as a consultant and researcher on a number of mobility projects for organizations ranging from the IADB to the World Bank to the Parisian government. Prior to her time at MIT, she spent time as an energy policy analyst and researcher at the Center for Strategic and International Studies in Washington, D.C., honing an expertise on energy transitions in Europe as well as ‘frontier’ energy innovations. She has also worked in communications for urban mobility companies, including Zipcar, Zagster and Avis Budget Group. She received dual master’s degrees in Urban Planning and Transportation Science from MIT and her bachelor’s in World Politics and German Literature from Hamilton College.
Alex “Sandy” Pentland is founding faculty director of the MIT Connection Science Research Initiative, which uses network science to access and change real-world human behavior, and is the Toshiba Professor of Media, Arts, and Sciences at the Massachusetts Institute of Technology (MIT). He also holds a triple appointment at MIT in Media Arts and Sciences, Engineering Systems Division and with the Sloan School of Business.
Sandy has helped create and direct MIT’s Media Lab, the Media Lab Asia, and the Center for Future Health. He chairs the IEEE Council on Extended Intelligence, and has been an Advisory Board member for Google, Nissan, Telefonica, the United Nations Secretary General, Monument Capital, and the Minerva Schools.
In 2012Forbes 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 fromHarvard 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 inNature,Science, andHarvard Business Review, as well as being the focus of TV features on BBC World, Discover and Science channels. His most recent books areSocial Physics (Penguin) andBuilding a New Economy (MIT Press).
Sheldon Levy - President Emeritus, Ryerson University / Esteban Moro - Researcher, Data Scientist and Professor at Universidad Carlos III (UC3M) and Visiting Professor at MIT Media Lab and MIT Connection Science at IDSS / Jessica Robinson - Co-Founder & Partner, Assembly Ventures / Andrew Salzberg - Head of Policy, Transit App / Sam Schwartz - Founder of Sam Schwartz Consulting, LLC
In partnership with
Smart Mobility is delivered as part of a collaboration with MIT School of Architecture + Planning and Esme Learning. All personal data collected on this page is primarily subject to the Esme Learning Privacy Policy.
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