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Looking beyond smart cities
Creating human-AI symbiosis across scales and sensory mediums to enhance productivity, creativity, and wellbeing
Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family membe…
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Life with AI | Designing the future of smart systems to improve the human experience
Future Worlds | Design and action for the future we want to live in
Decentralized Society | Architecting the new internet for the good of the people
Cultivating Creativity | Catalyzing a global movement enabling everyone to unlock and unleash their individual and collective creativity
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning cha…
Rhythm is a collection of open-source tools to make it easier for researchers to examine, analyze, and augment human interaction. Rhyt…
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make t…
The Power of WITHOUT is a research theme in the City Science group. The theme proposes that heavy infrastructure solutions are not financia…
Transforming data into knowledge
Reimagining human cooperation in the age of social media and artificial intelligence
Creating technology for social change
The Māori of Aotearoa (New Zealand) have a long and deep connection to their island and ocean ecosystem. Concepts such as rā…
As bikes navigate city streets after dark, they are often equipped with lights. The lights make the bikes visible to cars or other bikers, …
Berke A., Nawyn J., Lengeling T.S., Larson K. (2020) Urban Mobility Swarms: A Scalable Implementation. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1229. Springer, Cham
Opinion aggregation on social media uses various mechanisms, such as "Likes" or thumbs-up/-down, which handle a single item at a time. In …
Political constitutions describe the fundamental principles by which nation-states are governed, the political and legal state institutions…
The Moral Machine is a platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving car…
Burning Man is a magical place that gets the best of human creativity and collaboration to flourish. To further understand what makes this …
Modern cities have to respond to the growing demands of more efficient and sustainable urban development, as well as an increased quality o…
An interface for smashing filter bubbles, Panorama is built to allow open, transparent, and collaborative exploration of news from all…
An Urban Decision-Support System Augmented by Artificial IntelligenceThe decision-making process in urban design and urban planning is outd…
Zhang, Yan. “CityMatrix – An Urban Decision Support System Augmented by Artificial Intelligence.” Massachusetts Institute of Technology, 2017.
Ant-Based Modeling explores the possibility of implementing agent-based modeling with living ants and external stimuli such as el…
On Collective Debate, users take a test of their morality, then debate an artificial agent regarding a controversial claim: that …
Ho, P. H., Smuts, C., Kayser, M. A., Hernandez, J. 2017. Ant-Based Modeling: Agent-Based City Simulation with Ants. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ‘17).
Peter Krafft, Robert Hawkins, Alex Pentland, Noah Goodman, and Joshua Tenenbaum. (2015). Emergent Collective Sensing in Human Groups. Annual Conference of the Cognitive Science Society (CogSci).
Industrial development is the process by which economies learn how to produce new products and services. But how do economies learn? And wh…
Peter Krafft, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, Emma Spiro. (2017). Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking. ACM CHI Conference on Human Factors in Computing Systems (CHI).
Peter Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, and Alex Pentland. (2016). Human collective intelligence as distributed Bayesian inference. arXiv:1608.01987.
In 2009, DARPA launched the Network Challenge to explore the roles the Internet and social networking play in the timely communication, wid…
People often say that we live in a small world. In a brilliant experiment, legendary social psychologist Stanley Milgram proved the six deg…