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The Yale Institute for Network Science (YINS), the Yale Center for Research Computing (YCRC), and the Department of Statistics and Data Science at Yale (DS^2) will be hosting a network science-focused datahack at Yale University on February 18-19, 2017. Graduate, doctoral and postdoctoral students in the fields of network science, data science, statistics, data visualization, and related disciplines are invited to apply to compete at Datahack@Yale 2017. Student and postdoc network science pros will compete to solve the challenge of their choice devised by Yale faculty and corporate sponsors. Applicants from other academic institutions are welcome.

 

Working with network data is uniquely challenging, as it requires network scientists to incorporate disparate methods from across disciplines to answer questions about the interconnected world. The primary function of this event is to bring together junior scholars from all levels (undergraduate, graduate, doctoral and postdoctoral) who are interested in network science, know the tools and methods, and want to solve problems and produce useful insights in a highly collaborative and dynamic environment. Day one of the event (February 18) will be focused on exploring the data, and attempting to answer the challenges posed by Yale faculty and corporate sponsors. Day two of the event (February 19) will be devoted to data visualization, as teams, with the help of design mentors, discover how to best convey their challenge solutions.  Following the visualization component, our panel of judges from academic and corporate life will award prizes for the best project solutions. 

 

Sponsors are interested in recruiting and are offering sponsored prizes. Teams are comprised of no more than four individuals. All registered attendees of Datahack@Yale 2017 will be granted access to Yale’s High Performance Computing (HPC) cyberinfrastructure.

 

You are invited to apply online at http://datahack.yale.edu

  

Not a student but interested in being involved? Drop us a line and tell us your vision at[log in to unmask]

 

Warm regards,

Emily Hau and the Datahack@Yale Team


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