Research — MIT Media Lab

We are an interdisciplinary research lab working to invent the future of

art
health
artificial intelligence
human-machine interaction
learning
robotics
design
architecture
technology
consumer electronics
kids
music
wearable computing
politics
data
bioengineering
networks
human-computer interaction
entertainment
sensors
machine learning
economy
cognition
social science
history
environment
space
archives
storytelling
wellbeing
interfaces
computer science
covid19
engineering
prosthetics
developing countries
ethics
biology
civic technology
privacy
social robotics
alumni
public health
social media
communications
civic media
urban planning
imaging
synthetic biology
augmented reality
creativity
industry
community
neurobiology
computer vision
virtual reality
affective computing
biotechnology
energy
biomechanics
transportation
food
data visualization
government
social change
data science
ocean
startup
zero gravity
blockchain
social networks
medicine
materials
genetics
manufacturing
3d printing
climate change
prosthetic design
agriculture
gaming
racial justice
banking and finance
fabrication
women
behavioral science
construction
electrical engineering
diversity
fashion
cryptocurrency
security
cognitive science
neural interfacing and control
systems
bionics
open source
performance
microfabrication
crowdsourcing
marginalized communities
microbiology
ecology
internet of things
human augmentation
civic action
collective intelligence
extended intelligence
makers
wiesner
autonomous vehicles
language learning
natural language processing
perception
interactive
nonverbal behavior
mapping
physics
visualization
mechanical engineering
physiology
nanoscience
chemistry
water
clinical science
holography
long-term interaction
primary healthcare
gesture interface
sports and fitness
networking
trust
point of care
voice
soft-tissue biomechanics
orthotic design
autism research
mechatronics
member company
event
pharmaceuticals
rfid
hacking
code
open access
clinical trials
assistive technology
exhibit
trade
biomedical imaging
academia
publishing
member event
real estate
gender studies
randomized experiment
gis
metamaterials
cartography
installation

Publication

Can autonomy make bicycle-sharing systems more sustainable? An environmental impact analysis

Naroa Coretti Sanchez, Luis Alonso Pastor, Kent Larson, Can autonomy make bicycle-sharing systems more sustainable? An environmental impact analysis, Transportation Research Part D: Transport and Environment, Volume 113, 2022, 103489, ISSN 1361-9209, https://doi.org/10.1016/j.trd.2022.103489

Publication

Autonomous Bicycles: A New Approach To Bicycle-Sharing Systems

Sanchez, Naroa Coretti, Luis Alonso Pastor, and Kent Larson. "Autonomous Bicycles: A New Approach To Bicycle-Sharing Systems." 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020.

Publication

Bike Swarm

Berke, A., Sanchez Lengeling, T., Nawyn, J., & Larson, K. (2019, November). Bike Swarm. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing (pp. 1-4). ACM.

Publication

Roadmap for Autonomous Cities: Sustainable Transformation of Urban Spaces

Noyman, Ariel, Agnis Stibe, and Kent Larson. "Roadmap for Autonomous Cities: Sustainable Transformation of Urban Spaces." (2017).

Publication

The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics

Alhasoun, Fahad, et al. "The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics." 3rd International Workshop on Urban Computing (UrbComp 2014). UrbComp: New York, NY. 2014.

Publication

Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata

Y. Leng, A. Noriega, A.S. Pentland, I. Winder, N. Lutz, L. Alonso: "Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata". 2016. Proceedings of Data for Good Exchange (D4GX) 2016. New York, NY.

Publication

Managing travel demand: Location recommendation for system efficiency based on mobile phone data

Y. Leng, L. Rudolph, A.S. Pentland, J. Zhao, H.N. Koutsopolous: "Managing travel demand: Location recommendation for system eciency based on mobile phone data". 2016. Proceedings of Data for Good Exchange (D4GX) 2016. New York, NY.