learning + teaching
banking and finance
neural interfacing and control
internet of things
natural language processing
sports and fitness
Space Exploration Initiative
People and intelligent machines in a creative, symbiotic loop
Looking beyond smart cities
Converting the patterns of nature and the human body into beneficial signals and energy
Transforming data into knowledge
Michael Schrage considers the past, present, and future of recommendation engines, including Pattie Maes's advances in software agents.
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
AbstractDevices that facilitate nonverbal communication typically require high computational loads or have rigid and bulky form factors&nbs…
The Synthetic Apiary proposes a new kind of environment, bridging urban and organismic scales by exploring one of the most important organi…
The Power of WITHOUT is a research theme in the City Science group. The theme proposes that heavy infrastructure solutions are not financia…
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make t…
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning cha…
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at m…
Modern cities have to respond to the growing demands of more efficient and sustainable urban development, as well as an increased quality o…
I'm here to answer your questions about the award, my views on disobedience, and, of course, anything else.
We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potentia…
ABSTRACT The impending introduction of autonomous vehicles (AVs) has posed regulatory and ethical questions regarding how they …
Visiting scientist Alfredo Morales (Human Dynamics) has been named as one of MIT Technology Review en español's "Innovadores meno…
César Hidalgo, head of the Collective Learning research group, was chosen as the sole recipient of the 2018 Lagrange Prize.
Presenting RFind, a new technology that allows us to locate almost any object with extreme accuracy by transforming low-cost, battery-free …
An Urban Decision-Support System Augmented by Artificial IntelligenceThe decision-making process in urban design and urban planning is outd…
Can drones find missing items? Every year, companies lose billions of dollars due to misplaced items and faulty inventory records in their …
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…
Fadel Adib reflects on the whirlwind first year of his group, Signal Kinetics.
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).
Developed by Ira Winder with the MIT Centre for Transportation and Logistics, the model seeks to use real population data and create a simu…
Aerial imaging and sensor nodes each present a unique view point into the world. Using Unmanned Aerial Vehicles (UAVs) to navigate the same…