Research — MIT Media Lab

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

artificial intelligence
art
health
design
robotics
technology
human-machine interaction
learning + teaching
human-computer interaction
architecture
music
consumer electronics
wearable computing
kids
data
bioengineering
sensors
environment
machine learning
politics
space
cognition
networks
wellbeing
entertainment
social science
economy
alumni
computer science
creativity
history
storytelling
interfaces
community
covid19
civic technology
prosthetics
ethics
engineering
communications
developing countries
biology
computer vision
privacy
imaging
virtual reality
social robotics
neurobiology
public health
augmented reality
social media
social networks
urban planning
biotechnology
industry
synthetic biology
climate change
women
medicine
energy
biomechanics
data visualization
food
affective computing
transportation
cognitive science
sustainability
fabrication
materials
behavioral science
government
social change
data science
mental health
ocean
blockchain
healthcare
banking and finance
startup
genetics
zero gravity
cryptocurrency
manufacturing
human augmentation
agriculture
ecology
electrical engineering
prosthetic design
gaming
womens health
diversity
racial justice
3d printing
neural interfacing and control
fashion
bionics
sleep
microfabrication
civic action
security
construction
mechanical engineering
performance
natural language processing
member company
visualization
autonomous vehicles
language learning
nanoscience
open source
social justice
interactive
systems
microbiology
cities
internet of things
marginalized communities
water
perception
collective intelligence
textiles
code
chemistry
digital currency
mapping
wireless
clinical science
physics
biomedical imaging
physiology
soft-tissue biomechanics
algorithms
nonverbal behavior
gender studies
voice
culture
assistive technology
trust
sports and fitness
law
long-term interaction
rfid
hacking
networking
orthotic design
cells
mechatronics
pharmaceuticals
open access
autism research
business
real estate
science
news
exhibit
internet
decision-making
misinformation
journalism
asl

Publication

An interpretable approach for social network formation among heterogeneous agents

Yuan, Yuan, Ahmad Alabdulkareem, and Alex Pentland. "An interpretable approach for social network formation among heterogeneous agents." Nature Communications 9.1 (2018): 4704.

Publication

Detecting reciprocity at a global scale

Frank, M. R., Obradovich, N., Sun, L., Woon, W. L., LeVeck, B. L., & Rahwan, I. (2018). Detecting reciprocity at a global scale. Science Advances, 4(1), eaao5348.