Culture Analytics Program aims to promote a vigorous collaboration across disciplines and devise new approaches and novel mathematics to address the problems of culture analytics, by bringing together leading scholars in the social sciences and humanities with those in applied mathematics, engineering, and computer science.

The program includes a week of tutorials and weeklong workshops:

  1. Culture analytics beyond text: image, music, video, interactivity, and performance
  2. Culture analytics and user-experience design
  3. Cultural patterns: multi-scale data-driven models
  4. Mathematical analysis of cultural expressive forms: text data

Lead organizers:

  • Tina Eliassi-Rad (Rutgers),
  • Mauro Maggioni (Duke),
  • Lev Manovich (The Graduate Center, CUNY),
  • Vwani Roychowdhury (UCLA),
  • Tim Tangherlini (UCLA).

Funding is available for your stay from a few days (attending one workshop) to the duration of the whole program.

We welcome applications from advanced Ph.D. students and researchers at any stage of their careers. People in Computer Science as well as Humanities are welcome to apply, as long as you are interested in applying quantitative methods for cultural analysis. Supporting the careers of women and minority mathematicians and scientists is an important component of IPAM’s mission and we welcome their applications.