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We use high-resolution geospatial data collected from mobile phones to measure a new metric of city health in cities across the United St...
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
In this project, we are motivated to address clinical trials issues using Blockchain technology. We propose, OPEN TrialChain, a privacy-p...
Privacy-preserving mHealth application using Open Algorithm (OPAL) architecture to address urgent care challenges in Riyadh, Saudi Arabia.
Achieving a safe privacy-preserving information sharing environment for individualized care using blockchain-based technology in multiple...
Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
We build recommender bots that use machine learning and network analytics to create personalized recommendations for users on various soc...
There is a deep fear that human jobs will be replaced by AI. Rather than racing against the machines, our aim is to show that a human-AI ...
Leveraging the power of platforms, big data, and advanced analytics for species protection and the public good in a privacy-preserving, s...
Rhythm is a collection of open-source tools to make it easier for researchers to examine, analyze, and augment human interaction. Rh...
The well-known "small-world" phenomenon indicates that an individual can be connected with any other in the world through a limited numbe...
Earlier studies proved that behavior is highly shaped and constrained by one's social networks, and demonstrated ways in which individual...
The recent availability of quantitative behavioral data provides an opportunity to study human behavior at unprecedented scale. Using lar...
Growth in leisure travel has become increasingly signi cant economically, socially, and environmentally. However, flexible but uncoordina...
bandicoot provides a complete, easy-to-use environment for researchers using mobile phone metadata. It allows them to easily load their d...
Even when real names and other personal information are stripped from metadata datasets, it is often possible to use just a few pieces of...
A peer-to-peer network, enabling different parties to jointly store and run computations on data while keeping the data completely privat...
Location prediction is a critical building block in many location-based services and transportation management. This project explores the...
Markets are notorious for bubbles and bursts. Other research has found that crowds of lay-people can replace even leading experts to pred...
The understanding and modeling of social influence on human economic behavior in city environments can have important implications. In th...
Data mining of email has provided important insights into how organizations function and what management practices lead to greater produc...
Data-Pop Alliance is a joint initiative on big data and development with a goal of helping to craft and leverage the new ecosystem of big...
We believe that the narrative of only listening to experts or trusting the wisdom of the crowd blindly is flawed. Instead we have develop...
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 va...
We present Open Badges, an open-source framework and toolkit for measuring and shaping face-to-face social interactions using either cust...
The Mobile Territorial Lab (MTL) aims at creating a "living" laboratory integrated in the real life of the Trento territory in Italy, ope...
Cooperation in a large society of self-interested individuals is notoriously difficult to achieve when the externality of one individual'...