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Global Food Systems

Big Data Workshop

8 a.m.-5 p.m.
Tuesday, Oct. 15, 2019
Cottonwood Room
K-State Student Union
 

REGISTER ONLINE

Learn about how Big Data can impact your area of study.This event will provide a more global understanding of big data, how it is/can/should be used in analyzing complex challenges in basic and applied research. Faculty, graduate students and post docs are encouraged to attend; undergraduates and non-university professionals are also welcome. We encourage you to come and go as your time permits and hope to have a full house of interdisciplinary attendees there for the afternoon workshop.  Lunch will be provided. Please register for this event by October 8, 2019 

Agenda:
TimeTitlePresenters
8-8:10 a.m.WelcomeMaureen Olewnik
Coordinator, Global Food Systems
OVPR/ORD
8:10-9 a.m. Keynote – Big Data Analytics from Satellite Imagery – An overview of entire processing chain for collection to analytics

Kumar Navulur
Sr. Director of Strategic Business Development
DigitalGlobe, a Maxar Company

9-9:30 a.m.What makes up big data and why is it important? 

William Hsu
Professor, Computer Science
College of Engineering  

9:30-10 a.m.Managing data for integration and reuse 

Pascal Hitzler
Professor, Computer Science
College of Engineering 

10-10:15 a.m.Break 

 

10:15-10:45 a.m.Messy data modeling in agricultural systems Nora Bello
Associate Professor, Statistics
College of Arts and Sciences 
10:45-11:15 Big data issues in the monitoring and modeling of crops 

Stephen Welch
Professor, Agronomy
College of Agriculture 

11:15-noon Beocat challenges – What it can do today, what it can’t do today, and the future of big data computational needs 

Dan Andresen
Professor, Computer Science
College of Engineering 

Noon-1 p.m. Lunch and open discussion  
1-2 p.m. Keynote – Microsoft 

Curtis Charles
Area Solutions Architect & Data Scientist
Microsoft 

 2-2:45 p.m.Big Spatial Data 

Shawn Hutchinson
Professor, Geography
College of Arts and Sciences 

2:45-3:15 p.m.Overview of the K-State Library’s big data resources and other big data expertise across campus 

Carol Sevin
Academic Services Librarian
K-State Libraries 

3:15-3:30 p.m.Break  
3:30-4:15 p.m.Break-out workshop  
4:15-5 p.m. Report out on discussions – open discussion