The Dynamic Online Networks Lab is an interdisciplinary group of physicists, political scientists, computer scientists, and data scientists. We are developing the new science of online-offline behavior by mapping and quantifying online behavior (as well as its coupling to offline events) across scales, platforms, and topics. We also quantify the risks of AI in online-offline behavior. Click here to read our Literature Review.
The importance of our work to the scientific community has been recognized by the leadership of both the National Academy of Sciences and the American Physical Society.
Our work is funded by the John Templeton Foundation (in collaboration with Professor Sergey Gavrilets at the University of Tennessee DySoC). We have been published in journals such as Nature, and have been covered by media outlets such as The New York Times, Newsweek, and NPR.
NEW! DON Lab’s AI-powered influence analysis tool
Explore our experimental analyzer here:
Tell us what you think about it via our contact form!
Our dashboard comprises a sophisticated software stack that includes retrieval-augmented generation, allowing it to process arbitrary user input. It is powered by our lab’s wealth of rich data about the online space.
