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Looking beyond smart cities
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
Digital Currency Initiative
Cultivating wisdom through evolutionary and ecological engineering
Kevin Esvelt, master's student Anika Ullah, and other experts talk about bi-directional contact tracing, privacy, and halting Covid-19.
Community Biotechnology
This project was selected to represent MIT at the Microsoft Design Expo 2020 on ‘Healthier Futures.’ iNonymizeA tele-mental health p...
An MIT-developed vaccination card aims to cut through vaccine distribution chaos while preserving patient privacy.
We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact tr...
DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing, Praneeth Vepakomma, Subha Nawer Pushpita and Ramesh Raskar, PPML (Privacy Preserving Machine Learning workshop) at NeurIPS
Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
As bikes navigate city streets after dark, they are often equipped with lights. The lights make the bikes visible to cars or other bikers...
Creating scalable technologies that evolve with user inventiveness
Papers from SafePaths: https://github.com/PrivateKit/PrivacyDocumentsSafe Paths is an MIT-led, free, open source technology tha...
Split Learning: Distributed deep learning without sharing raw data Project Page: https://splitlearning.github.io/Abstract: ...
We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. ...
Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.
As of August 2020, Ring has active partnerships with over 1400 law enforcement agencies across the US. These partnerships allow law enfor...
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Creating technology for social change
Transforming data into knowledge
There is a continuous and ubiquitous collection of precise, timestamped, geolocation data from apps and devices, being amassed by private...
Berke, A. (2020). From private location data to public good. (Masters thesis). MIT Media Lab.
Berke A., Nawyn J., Lengeling T.S., Larson K. (2020) Urban Mobility Swarms: A Scalable Implementation. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1229. Springer, Cham
How radical new collaborations will catalyze a revolution in health.
Jaleesa Trapp talks to Brittney Gallagher about how she works to create equitable spaces for STEM learning experiences.
"Building the New Economy" envisions data co-ops to make it easier for people to control and analyze their own financial and health data.
Let’s Talk Privacy explores how the implementation of privacy and data governance policies might impact a variety of fields.Project Let’s...
The rise of data privacy breaches and a look into policies that address these challenges
Alex Berke and Kent Larson, City Science group, MIT Media Lab (2020).
New issues in privacy debate with technology and contact-tracing.
Governments and researchers around the world are implementing digital contact tracing solutions to stem the spread of infectious disease,...
Alex Berke, Michiel Bakker, Praneeth Vepakomma, Kent Larson, Alex `Sandy' Pentland. (March 31 2020). "Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy." Retrieved from https://arxiv.org/pdf/2003.14412
This is a unique time to engage and teach children about the benefits and limitations of technology.
Researchers are racing to achieve the benefits of location-tracking without the surveillance.
To help explain how this works is Ramesh Raskar, an associate professor at MIT’s Media Lab.
The app is designed to let people discover if they've crossed paths with someone who's been infected with COVID-19.
A multinational team develops new tools to slow the spread of pandemics.
A system that enables smartphones to transmit “chirps” to nearby devices could notify people if they have been near an infected person.
Policymakers, practitioners, and researchers are grappling with some herculean questions regarding kids' safety online. Homemade sli...
The Personal Robots team collaborated with the Girl Scouts and the EMK Institute for the US Senate to teach 60 students about data privacy.
Private Kit: Safe Paths shares information about your movements in a privacy-preserving way—and could let health officials tackle COVID-19.
China, South Korea used smartphone apps to monitor people with the disease. Americans have different views of privacy and data collection.
Read an interview with Angwin and Catherine D'Ignazio on machine bias, data privacy, and the role of journalism in creating accountability.
Four social-impact startups reveal how they manage privacy laws and concerns—even if they’re not required to.
By Dell Cameron and Dhruv MehrotraAs reporters raced this summer to bring new details of Ring’s law enforcement contracts ...
Berke, Alex, Calacci, Dan, Larson, Kent, Pentland, Alex (Sandy), "The Tradeoff Between the Utility and Risk of Location Data and Implications for Public Good," arXiv.org, 2019.
Our capacity to re-engineer the biological world raises questions that need answers before it gets too late
Opinion: The push to ban unwanted “dark patterns” from apps and sites may also take away certain features users want.
CE 2.0
How to build intelligent music systems out of interacting audio-processing agents.
In an interview with MIT research scientist Lex Fridman, Rosalind Picard discusses affective computing, privacy, diversity in tech, and more
On May 11, 2019 Ramesh Raskar was the doctoral hooding ceremony keynote speaker at UNC Chapel Hill Commencement. He shared the ...
Open Algorithms (OPAL)
Invisible Ink is a certified mail application that demonstrates the utility of the blockchain for maintaining a public ledger of transact...
Ethos is a decentralized, Bitcoin-like network for storing and sharing valuable information. We provide transparency, control, and owners...
Lazarovich Amir
Leveraging the power of platforms, big data, and advanced analytics for species protection and the public good in a privacy-preserving, s...
Almaatouq, Abdullah, et al. "A malicious activity detection system utilizing predictive modeling in complex environments." 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC). IEEE, 2014. APA