Culture Analytics Tutorials

Part of the Long Program Culture Analytics
March 8 - 11, 2016

Overview

CA2016 Poster GraphicThe tutorial session will bring participants up to speed on various methodologies that will be presented in the coming workshops. These intensive sessions taught by leaders in each area will focus on web crawling and scraping; natural language processing including named entity detection and sentiment detection; GIS; network analysis; supervised and unsupervised machine learning; audio and visual analysis; and library systems.These tutorials will have a series of target data sets that will be used as challenge data. As there will be core participants from the social sciences and humanities who may not have substantial experience in general statistical methods or general concepts in computation (such as data structures, programming languages, and APIs), additional evening classes will be held during this first tutorial week to allow these participants greater access to the vocabulary of the ensuing workshops.We expect participants from the humanities, social sciences, computer science, and applied mathematics.There is no registration fee for tutorials, to encourage broad participation.

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)