UND will host an Early Career Big Data Summit (ECBDS) April 6-8, a Midwest Big Data Hub event. The summit seeks to provide a venue for early career big data researchers (graduate students, post docs, and pre-tenure faculty) to connect with industry, third-sector volunteer groups, and established researchers. Events will include multiple industry panel discussions, researcher lightning talks, and a hands-on application hack-a-thon. The Summit is expected to have representation from the digital/precision agriculture, transportation, social media, and Unmanned Aircraft Systems industries.
The Art of Science ECBDS will be co-located with the 47th Annual UND Writers Conference, which has the theme this year of “The Art of Science” (AoS). In addition to Summit events, all attendees will be allowed to attend all AoS events – including Keynote presentations by Brian Greene (string theorist, author of The Elegant Universe, and entertaining communicator of cutting-edge scientific concepts) and award winning science fiction writer Kim Stanley Robinson. While the entire AoS schedule is available on the UND Writers Conference Website (https://und.edu/orgs/writers-conference/current-conference/wc-schedule.cfm), additional AoS events include: 1) the Greene post-keynote social event at the North Dakota Museum of Art, and 2) the Thursday afternoon Prairie Public Radio interview and audience question/answer session with Brian Greene on the topic of “How to communicate science to a popular audience.”
All events are free. The ECBDS has no registration fees, but registration is required for those seeking participant support and/or wishing to participate in hosted panels, lightning talks, or the hack-a-thon. Attendees will be responsible for their own meals, lodging, and travel. A limited amount of participant support is available to registered Summit attendees only. Preference is given to Big Data Summit presenters. More registration information is available through the ECBDS website listed below.
— Aaron Bergstrom, High Performance Computer Specialist, Computational Research Center, 777.2075, email@example.com