About the Culture Analytics Program
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 explosion in the widespread use of the Internet and social media and the ubiquity of low cost computing have increased the possibilities for understanding cultural behaviors and expressions, while at the same time have facilitated opportunities for making cultural artifacts both accessible and comprehensible. The rapidly proliferating digital footprints that people leave as they crisscross these virtual spaces offer a treasure trove of cultural information, where culture is considered to be expressive of the norms, beliefs and values of a group. This program encourages the exploration of the unsolved mathematical opportunities that are emerging in this cultural information space. Many successful approaches to the analysis of cultural content and activities have been developed, yet there is still a great deal of work to be done. In this program, we aim to promote a vigorous collaboration across disciplines and devise new approaches and novel mathematics to address these problems of culture analytics, by bringing together leading scholars in the social sciences and humanities with those in applied mathematics, engineering, and computer science.
ORGANIZING COMMITTEE
Tina Eliassi-Rad (Rutgers University, Computer Science)
Mauro Maggioni (Duke University, Mathematics and Computer Science)
Lev Manovich (The Graduate Center, CUNY, Computer Science)
Vwani Roychowdhury (University of California, Los Angeles (UCLA), Electrical Engineering)
Timothy Tangherlini (University of California, Los Angeles (UCLA), Scandinavian Languages)
Activities
The program consists of opening day, tutorials, a series of workshops, and a culminating workshop at UCLA’s Lake Arrowhead Conference Center. Most participants, including several distinguished senior scientists, will be in residence at IPAM continuously for the entire period. Between the workshops there will be a program of activities, such as seminars and discussion groups, involving long-term and short-term participants as well as visitors.
- Culture Analytics Opening Day : March 7, 2016
- Culture Analytics Tutorials : March 8-11, 2016
- Workshop I: Culture Analytics Beyond Text: Image, Music, Video, Interactivity and Performance : March 21-24, 2016
- Workshop II: Culture Analytics and User Experience Design : April 11-15, 2016
- Workshop III: Cultural Patterns: Multiscale Data-driven Models : May 9-13, 2016
- Workshop IV: Mathematical Analysis of Cultural Expressive Forms: Text Data : May 23-27, 2016
- Culminating Workshop at Lake Arrowhead Conference Center : June 5-10, 2016
Application
Click here to apply for financial support to attend and participate for extended periods up to the entire length of the program. If you wish to apply or register for one of the workshops, please use the application form for that workshop. We urge you to apply as early as possible. Applications will be accepted through Monday, December 7, 2015, but offers may be made at any time, up to one year before the start date. Successful applicants will be notified as soon as funding decisions are made. Questions and supporting documents should be sent to the email below.
We typically offer support to recent PhDs, 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. Supporting 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: ca2016@ipam.ucla.edu
http://www.romstudyabroad.com/
This opportunity has expired. It was originally published here:
http://www.ipam.ucla.edu/programs/long-programs/culture-analytics/?tab=application