Research — MIT Media Lab

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

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