Research — MIT Media Lab

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

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