welcome to sociotech.net

About CSST and sociotech.net

This online community and the Consortium for the Science of Sociotechnical Systems (CSST) serves as a trans-discipline community, connecting like-minded scholars from many different intellectual communities. CSST brings together researchers from a wide range of disciplines to develop a common language and scholarly repertoire as we work to understand diverse sociotechnical issues. Research on human activity such as collaboration, creativity, learning and economic production in domains like healthcare, education, science, leisure, and computing requires researchers to understand both social and technical aspects of human organization. That’s what we do.

Summer Research Institute

Our summer institutes bring together researchers, scholars and industry professionals to share ideas, define new research directions and share feedback on ongoing projects.

Explore ScholarMap

ScholarMap is an open-source online tool for crowdsourcing the process of mapping the evolving definition of a diverse sociotechnical community.

Post and Participate

Are you an academic or industry researcher looking to expand your interdisciplinary network? Join the online community and contribute content here.

Apply for Workshop Funding

Are you proposing or conducting a research event that engages sociotechnical systems research? Apply here for supplemental funding for your event or workshop.

Acknowledge CSST in your work

Are you a researcher who has benefitted from participation in our workshops and events? Please consider acknowledging the CSST RCN in your publications. Here is some boilerplate text for you to use and extend if necessary:

We thank the Consortium for the Science of Sociotechnical Systems, an NSF-supported research coordination network (Grant #1144934).

Explore ScholarMap

ScholarMap is intended to crowdsource the evolving definition of the diverse sociotechnical community. Information added by individual members is added to a shared pool that others reuse to define their own interests. As data is accumulated, regions of significant overlap (or non-overlap) will become apparent. In the future, we will add network visualizations to enable rapid exploration of the data.

Sign up or log in at http://sociote.ch/go/ScholarMap

Want to contribute? ScholarMap is on Github.

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