Network data poses unique analytic challenges. Network scientists create new methods to tame complex data and answer questions about the interconnected world. On February 18-19, 2017, our student and post-doc network science pros will compete to solve your data problems. Coders in the fields of network science, data science, statistics and related disciplines will work on challenges devised by Yale faculty and corporate sponsors. Results will be judged by a panel of experts from academic and corporate life. Datahack@Yale was created by the Yale Institute for Network Science, in partnership with the Yale Center for Research Computing and the Department of Data Science and Statistics at Yale.
|Saturday, February 18|
|8:00 am||Registration and breakfast: 17 Hillhouse Avenue, 1st floor|
|8:30 am||Welcome and introduction of mentors|
|9:00 am||Steve Weston will give introduction to Yale’s High Performance Computing (HPC) cyberinfrastructure|
|9:30 am||Sponsor challenge quick pitches: each sponsor will have 60 seconds to “sell” their challenge to participants|
|9:45 am||Break off to pick challenge|
|10:00 am||Sponsors give 30-minute orientation to challenge question and data set|
|10:30 am||Get to work!|
|12:00 pm||Lunch, served on the 3rd floor|
|3:00 pm||Snack and entertainment (3rd floor)|
|6:00 pm||Dinner, served on the 3rd floor|
|6:00-8:00 pm||Check-in with mentors (Please note, mentors are welcome but not expected to stay between 8:00pm on February 18 and 8am on February 19.)|
|11:45pm||Pizza! Served on the 3rd floor|
|Sunday, February 19|
|8:00 am||Data visualization introduction presented by Jessica Helfand; introduction to design mentors|
|8:45 am||Teams get to work on data visualizations|
|1:00 pm||Team presentations begin, 5-8 minutes each|
|2:30 pm||Judging huddle/Plasma Car Race (Judges are Professor Daniel Spielman (Yale), Paul Datta (Tata) and Kiran Keshav (Yale))|
|3:00 pm||Awards ceremony|
|4:00 pm||DONE! Stay for happy hour!|
The primary function of this event is to bring together junior scholars from all levels (undergraduate, graduate, 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. The purpose of the datahack is to identify who can best answer questions without getting lost in the data. Day two of the event (February 19) will be devoted to data visualization: visualizing team solutions with the help of design mentors, and judging the best project solutions. Students are invited to use their skills on real-world problems in need of real solutions using data sets provided by sponsors.
Network science is the study of the structure and function of graphs, networks, and other network data. It involves the collection, management, analysis, interpretation, and presentation of network data. The field of network science aims to develop new tools and techniques to answer questions about interconnected data. Network data poses unique analytic challenges, and network scientists leverage many data analysis methods to answer questions about the interconnected world.
50 participants from Yale and other academic institutions.
Network Science Research at Yale includes: