Research
Research
My work is grouped into four broad tracks which make up the primary research programs at the Computational Social Science Lab. Each of them merges the motivation and explanatory power of the social sciences with the predictive capacity and technical rigor of computational methodology. In doing so, they produce practical insight with real-world applications to complex problems.
Penn Media Accountability Project (PennMAP)
PennMAP is an interdisciplinary, nonpartisan research project of the Computational Social Science Lab at the University of Pennsylvania dedicated to enhancing media transparency and accountability at the scale of the entire information ecosystem.
High-Throughput Experiments on Group Dynamics
To achieve replicable, generalizable, scalable, and ultimately useful social science, we need to rethink the “one at a time” experimental paradigm. In its place we design and run “high-throughput” experiments radically different in scale and scope.
COVID Philadelphia
We are building a collection of interactive data dashboards that visually summarize human mobility patterns over time and space for a number of cities, starting with Philadelphia, along with highlighting potentially relevant demographic correlates.
Common Sense
This project tackles the definitional conundrum of common sense head-on via a massive online survey experiment. We hope to provide insight into the nature and limits of common sense, thereby aiding research communities who wish to explore and simulate it.
Penn Media Accountability Project (PennMAP)
PennMAP is an interdisciplinary, nonpartisan research project of the Computational Social Science Lab at the University of Pennsylvania dedicated to enhancing media transparency and accountability at the scale of the entire information ecosystem.
High-Throughput Experiments on Group Dynamics
To achieve replicable, generalizable, scalable, and ultimately useful social science, we need to rethink the “one at a time” experimental paradigm. In its place we design and run “high-throughput” experiments radically different in scale and scope.
COVID Philadelphia
We are building a collection of interactive data dashboards that visually summarize human mobility patterns over time and space for a number of cities, starting with Philadelphia, along with highlighting potentially relevant demographic correlates.
Common Sense
This project tackles the definitional conundrum of common sense head-on via a massive online survey experiment. We hope to provide insight into the nature and limits of common sense, thereby aiding research communities who wish to explore and simulate it.