Social Data Analysis

Introduction

Social data analysis is a network-supported analytical methodology, Florence, 6 Apr 2008; Deadline 3 Oct 2007

 ARC: Community: ELMAR: Posting

areas: methods: call

Workshop on Social Data Analysis

http://researchweb.watson.ibm.com/visual/social_data_analysis_workshop/

CHI 2008 April 6th,
Florence, Italy
www.chi2008.org

This workshop addresses a new online phenomenon: social data analysis, that is, collective analysis of data supported by social interaction.

In the last few months a new class of web site has emerged that enables users to upload and collectively analyze many types of data. These systems range from pure research projects to commercial business ventures. Sites like Many Eyes, Swivel and Data360 have attracted visualization fans, data geeks, journalists, scientists, and concerned citizens. The blogosphere has also taken notice, and bloggers frequently post about the ways in which they use these sites, the visualizations they create, and the data they upload.

The goals of this workshop are to:

  1. Bring together, for the first time, the social data analysis community
  2. Examine the design of social data analysis sites today
  3. Discuss the role that visualizations play in social data analysis
  4. Explore how users are utilizing the various sites that allow them to exchange data-based insights.

We seek researchers and practitioners whose work explores social data analysis and/or social uses of visualizations. We hope for a lively mix of people actively involved in building sites and academics who study the dynamics of social software.

Submitting:

Individuals interested in participating should submit a 2-4 page position paper describing experience with a social data analysis initiative, a proposed initiative, or an analysis of an issue of importance in this area.

Submission deadline: October 3, 2007

Papers should conform to the CHI 2008 Extended Abstracts format and should be emailed to: social-data-analysis@lists.berkeley.edu

Workshop Organizers:

Fernanda B. Viégas
IBM Research

Martin Wattenberg
IBM Research

Jeffrey Heer
University of California, Berkeley

Maneesh Agrawala
University of California, Berkeley