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Description of Area of Interest

The recurring theme throughout my work has been the study of international protest movements. I have investigated political subjectivity among social activists from a phenomenological perspective, and conducted fieldwork among anti-globalization protesters in Southern Italy and North Korean defectors in South Korea. Recent work uses artificial intelligence to look at protest movements in Asia, Europe, the Middle East, and elsewhere. I have been experimenting with specifically designed computer programs to identify patterns in protestors’ online behavior. This situates my research at the crossroads of political anthropology, digital humanities, and international studies. The work engages anthropology with big data analytics, while providing relevant policy recommendations for the wider business/government community.



I am currently working on a book project that investigates the possibility of forecasting political crises, such as anti-government protests in unstable nations, by identifying recurring patterns of positive/negative sentiment in a range of different "online milieus" and use these to create leading indicators for political developments in real time. Examples of online milieus include social media websites, instant messaging services, issue specific blogs, or the comments section of articles in the mainstream media. This mixed methodology project uses natural language processing software to sieve through large amounts of information. This technology is provided through a partnership with internet technology company Recorded Future. Once information is collated, machine learning software is employed to find recurring patterns in past online behavior. Identified patterns are used to generate leading indicators in real time. The software is constantly re-calibrated using ethnographic considerations arising from ongoing fieldwork, consisting of on-site or virtual interviews.

Experiences that you will gain
  • Literature searches
  • Annotated bibliographies
  • Summarizing or writing up literature
  • Research design
  • Participant recruitment and data collection
  • Data entry
  • Data analyses
Minimum Requirements
  • In person interview