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asl
Split Learning: Distributed deep learning without sharing raw data Project Page: https://splitlearning.github.io/Abstract: C…
Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse beha…
Policymakers, practitioners, and researchers are grappling with some herculean questions regarding kids' safety online. Homemade slime…
Understanding social-emotional behaviors in storytelling interactions plays a critical role in the development of interactive and education…
Earlier studies proved that behavior is highly shaped and constrained by one's social networks, and demonstrated ways in which individuals …
This is a grassroots challenge to get friends to participate in democracy by making calls to congresspeople in all 50 states. Live phone ca…
The Electome: Where AI meets political journalismThe Electome project is a machine-driven mapping and analysis of public sphere content and…
The well-known "small-world" phenomenon indicates that an individual can be connected with any other in the world through a limited number …
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at m…
Location prediction is a critical building block in many location-based services and transportation management. This project explores the i…
Data Fusion for Dynamic Traffic PredictionTraffic congestion has huge negative impacts on the productivity, health and personal lives …
Early literacy plays an important role in a child's future. However, the reality is that over 57 million children have no access to a schoo…
This project depicts the design, deployment and operation of a Tangible Regulation Platform, a physical-technological apparatus made for th…
Modern cities have to respond to the growing demands of more efficient and sustainable urban development, as well as an increased quality o…
Cloud-Based Urban Data PlatformcityIO (input/output) is a cloud- and database-driven platform which allows remote participation, database a…
Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinat…
An Urban Decision-Support System Augmented by Artificial IntelligenceThe decision-making process in urban design and urban planning is outd…
Inspired by previous work in the field of data sonification, we built a data-driven composition platform that enables users to map collisio…
Embodied voice-based agents, such as Amazon’s Echo, Google Home, and Jibo, are becoming increasingly present in the home environment. For m…
View the main City Science Andorra project profile.The MIT Media Lab's City Science research group, the University of Andorra, and national…
Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to some…
Analyze and visualize urban interaction with computer vision and deep neural net.
Developed by Ira Winder with the MIT Centre for Transportation and Logistics, the model seeks to use real population data and create a simu…
The Andorra Living Lab project combines different research topics (Tourism, Innovation, Energy & Environment, Mobility, Dynamic urban p…
In a study of human perception of music in relation to different representations of video graphics, this project explores the automatic syn…