About the Workshop. Cultural Patterns: Multiscale Data-driven Models
The proliferation of cultural data has given data-driven approaches a significant edge in modeling various cultural phenomena. This workshop focuses on such approaches that make use of mathematical tools in machine learning, data mining, network science, and computational social science. We are particularly interested in presenting methods, both normative and descriptive, that offer a gestalt or structure-first approach to cultural analysis and that provide a multi-layered summarization of these phenomena suitable for exploration at multiple scales. These models are applied to various datasets such as social and information networks, social media, narrative and story detection in texts, group dynamics or behavior, and collaboration and competition leading to emergent behavior.
This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
Lada Adamic - http://www.ladamic.com/ - (University of Michigan)
Edoardo Airoldi (Harvard University)
Tina Eliassi-Rad, Chair (Rutgers University, Computer Science)
Eitan Hersh (Yale University)
Jure Leskovec (Stanford University)
Johan Ugander (Stanford University)
Application & Registration
The application form is for those requesting financial support to attend the workshop. We urge you to apply early. Applications received by Monday, March 14, 2016, will receive the fullest consideration. Questions and supporting documents should be sent to the email below. Successful applicants will be notified as soon as funding decisions are made. If you do not need or want to apply for funding, you may simply register. IPAM will close registration if we reach capacity; for this reason, we encourage you to register early.
We have funding especially to support the attendance of recent Ph.D.’s, graduate students, and researchers in the early stages of their career; however, mathematicians and scientists at all levels who are interested in this area are encouraged to apply for funding. Encouraging the careers of women and minority mathematicians and scientists is an important component of IPAM’s mission and we welcome their applications.
Please send your questions and supporting documents to email@example.comREGISTRATION FEES
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