POSTPONED - Data & Visual Un-Conference

Due to the unprecedented circumstances of the present crisis, we have made the difficult decision to postpone the Data & Visual Culture Un-Conference until Fall 2020. We will be in contact once we establish a new date. 

We hope that everyone is safe and healthy and look forward to seeing you on campus come fall. 


The Center for Computational and Data Science (CCDS) in the iSchool invites you to join us for the Data & Visual Culture Un-Conference 2020! 

This is our third Un-Conference, this time led by CCDS Co-Director Jeff Hemsley. CCDS was motivated to organize our first Un-Conference in the fall of 2018 following productive discussions around big idea initiatives that led to ‘Cuse grants. Given the great success we have experienced with bringing together faculty from different schools for two Un-Conferences, we’ve decided to continue to host these events! 

The Purpose of an Un-Conference is to provide space for peer-to-peer learning, collaboration, and creativity around the themes of Data & Visual Culture. The goal of the Un-Conference is for faculty and PhD students to make connections and formulate plans for collaboration around research and teaching. This is a participant-driven event, where the agenda is set by ...

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POSTPONED until March 2021 - The Things We Do For Data: Social Science Between Collusion & Going Rogue

First and foremost, given these uncertain times, we hope you are safe and healthy. 

Clearly, in these unprecedented circumstances we have had to reconsider the timing of The Things We Do for Data: Social Science Between Collusion and Going Rogue conference this summer, July 30-31 and have made the difficult decision to postpone until mid-to-late March 2021 in Berlin (we are working out the specific dates now). 

We will reopen the call for papers in Fall 2020. We seek submissions for proposals of 500-word abstracts. We expect these to be somewhat non-traditional, with an emphasis on your methods and objectives rather than on the findings per se. Thus, abstracts should focus on data collection methods and challenges in collecting, storing, or updating, data quality management issues, and the critical, legal, ethical and/or policy perspectives on your approach.

For more information about the event please visit

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