The West Big Data Innovation Hub (WBDIH) is excited to host a hands-on workshop, Data Hackathons: Lessons Learned and Best Practices, on September 15 as part of the historic first International Data Week in Denver.
One of four hubs recently launched with funding from the National Science Foundation, the WBDIH builds and strengthens partnerships across industry, academia, nonprofits, and government to address societal challenges. The workshop will convene hackathon organizers, sponsors, and other stakeholders to share insights about the design, implementation, scalability, and impact of data-focused hackathons.
A diverse plenary panel with expertise in crowdsourced innovation and community problem solving will launch the workshop. Data hackathon case studies mentioned will cover the WBDIH thematic areas including Metro Data Science, Natural Resources and Hazards, and Precision Medicine, as well as cross-cutting topics that are broadly applicable. The updated agenda, speaker biographies, and livestream will be posted at westbigdatahub.org/datahackworkshop. Remote participants are encouraged to join the conversation at WBDIH.slack.com and #datahackworkshop.
Funding for Early Career Data Scientists
The September workshop is the second WBDIH hands-on event offering grants for early career data scientists through a collaboration with the Computing Community Consortium (CCC). In June 2016, over 700 data enthusiasts from 25 states and 15 countries gathered in Los Angeles and via livestream for a workshop on The Science of Data-Driven Storytelling. To encourage early career researchers to participate and contribute to the #datascistories and #datahackworkshop communities, the WBDIH has partnered with the CCC to provide funding. Grant Applications for the Data Hackathons Workshop are due Sept. 6, 2016: bit.ly/WBDIHtravel.
The Program Committee organizing the workshop for International Data Week includes innovators from 5 West Region states, including community leaders from the Federation of Earth Science Information Partners (ESIP), Data Science Inc., AgilData, the Rocky Mountain DataCon, and Big Data Utah.
How to participate:
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