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Extending human and computer abilities in sensing, communication, and actuation through signals and networks
Looking beyond smart cities
Space Exploration Initiative
Disobedience Award
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
Creating scalable technologies that evolve with user inventiveness
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 potent...
ABSTRACT The impending introduction of autonomous vehicles (AVs) has posed regulatory and ethical questions regarding how the...
Transforming data into knowledge
Visiting scientist Alfredo Morales (Human Dynamics) has been named as one of MIT Technology Review en español's "Innovadores me...
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-fre...
An Urban Decision-Support System Augmented by Artificial IntelligenceThe decision-making process in urban design and urban planning is ou...
Can drones find missing items? Every year, companies lose billions of dollars due to misplaced items and faulty inventory records in thei...
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 ...
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 si...
The Synthetic Apiary proposes a new kind of environment, bridging urban and organismic scales by exploring one of the most important orga...
Aerial imaging and sensor nodes each present a unique view point into the world. Using Unmanned Aerial Vehicles (UAVs) to navigate the sa...