Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion

Leveraging Others’ Personalized Models for Better Decision-Making Hossein Rahnama Visiting Professor, MIT Media Lab, Professor, Toront…

"Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling," published by the Association for Computat…

Space stations serve as unique and isolated environments where astronauts must collaborate closely to achieve mission objectives. Effective…

By unifying proprietary data with third-party and contextual data sources, customer-centric leaders in financial services can create e…

Advanced AI using Reason-Ready Graphs to facilitate machine reasoning or automated inferenceReason-Ready Graphs are cutting-edge frame…

We imagine digital twins can be used in any number of ways to gain insights and enable interactions: imagine if you could engage with a tru…

Perspective-Aware AI (PAI) is a new approach to AI that goes beyond simply avoiding bias. It focuses on understanding, representing, and in…

We crowdsourced and published a first-of-its-kind open dataset that contains Amazon purchase histories, spanning 2018 to 2022, from more th…

Science is not just about discovery; it’s an art of communication too.In this project, we are exploring how complex scientific topics can b…

A massive audit of 1800+ AI text datasets, tracing their provenance and composition from origin to creation.The race to train language mode…

The Atlas of Opportunity is a platform that allows communities to derive insights from their own data. The tool was created in collabo…

Urban socioeconomic segregation is an important indicator that is crucial for social, economic, and health outcomes. Segregation is inheren…

This strand of work seeks to develop new interventions to reduce the spread of information, and deploy those interventions towards a crowds…

Autonomous vehicles (AVs), drones, and other types of robots will revolutionize our way of traveling and understanding urban space. In orde…

Segregation is hurting our societies and especially our cities. But economic inequality isn't just limited to neighborhoods. The restaurant…

Data for refugees is a big data challenge whereby Turk Telekom opens a large dataset of anonymized mobile phone records to research groups …

Modern cities have to respond to the growing demands of more efficient and sustainable urban development, as well as an increased quality o…

Algorithmic FairnessSociety increasingly relies on machine learning models for automated decision making. Yet, efficiency gains from automa…

Open Algorithms (OPAL)

We use high-resolution geospatial data collected from mobile phones to measure social segregation at an unprecedented resolution in cities …

Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family membe…

Leveraging the power of platforms, big data, and advanced analytics for species protection and the public good in a privacy-preserving, sca…

The well-known "small-world" phenomenon indicates that an individual can be connected with any other in the world through a limited number …

Earlier studies proved that behavior is highly shaped and constrained by one's social networks, and demonstrated ways in which individuals …

Even when real names and other personal information are stripped from metadata datasets, it is often possible to use just a few pieces of i…

A peer-to-peer network, enabling different parties to jointly store and run computations on data while keeping the data completely private.…

A critical question relevant to the increasing importance of crowd-sourced-based finance is how to optimize collective information processi…

In a world where sensors, data storage, and processing power are too cheap to meter, how do you ensure that users can realize the full valu…