The CrowdResearch.org blog, Follow the Crowd, intends to become the premier web resource for ideas related to crowd and social computing research. Out goal is to provide the community with a platform to rapidly spread and discuss new ideas in this space.
Please do not hesitate to send the editors questions, suggestions, or feedback at firstname.lastname@example.org. We would love to hear from you!
Our audience encompasses everyone who wants to keep up with the latest and greatest in crowd and social computing research. This audience spans disciplines (e.g. computer science, economics, human-computer interaction, law) and roles (e.g. student, faculty, academic, industry, government, enterprise, startup, crowdworkers).
Crowd and social computing research examines systems where groups of people work and interact together, aided by computers. This work includes, but isn’t limited to:
- computer-mediated collaboration (e.g. wikis)
- computational methods for mining the wisdom of the crowds (e.g. prediction markets)
- mass communication and collaboration
- ethics and labor issues in crowd computing and crowdwork platforms
- technology-mediated social and civic participation
- mining and analysis of large-scale social behavior
What we publish
Our scope includes the following types of posts:
- Summaries of papers from peer-reviewed workshops, conferences, and journals (recent or upcoming)
- Micro-surveys (i.e. critical summaries of a set of papers on a particular topic)
- Editorials and position papers expressing an opinion about research
- Posts about works-in-progress or emerging ideas which may help solicit discussion from the community
- Announcements about relevant workshops, conferences, or other calls for participation
We review the proceedings of relevant conferences such as CHI, Collective Intelligence, CSCW, HCOMP, GROUP, UIST, WSDM, and other venues; we invite relevant authors to post.
We primarily solicit posts from authors and researchers who publish in these venues, but we welcome interesting suggestions for submissions, as well. If you’d like to submit to the blog, please see our submission instructions.
Who should I blame?
- Michael Bernstein, Stanford University
- Lydia Chilton, University of Washington
- Sanjay Kairam, Stanford University
- Anand Kulkarni, UC Berkeley
- Reid Priedhorsky, Los Alamos National Laboratory
- Alex Quinn, University of Maryland
- Jeff Rzesotarski, Carnegie Mellon University
- Haoqi Zhang, Northwestern University
We are actively recruiting new editors. If you’d like to participate, please contact us at: email@example.com
- Ed H. Chi, Google Research
- Bjoern Hartmann, UC Berkeley
- Niki Kittur, Carnegie Mellon University
- Rob Miller, MIT