Friday, May 26: Pecha Kucha

Friday, May 26: Pecha Kucha

20 Slides, 20 Seconds Each

Don’t miss the fun as presenters time their talks to their slides. Seven minutes and they’re done! These presenters will be announced in the conference program.


About Pecha Kucha Talks

PechaKucha by Simon Child from the Noun Project
PechaKucha by Simon Child from the Noun Project

A pecha kucha is a highly visual presentation that consists of 20 slides shown for 20 seconds each. Presentations in this category are timed and speakers are restricted to seven minutes. These are not your typical conference presentations. Since the slides progress on a timer, speakers must fill the time for each slide exactly and not go over.  We encourage you to check out http://www.pechakucha.org for more information.

Thursday, May 25: Jennifer Clarke

Thursday, May 25: Jennifer Clarke

Digital Agriculture: The Midwest Big Data Hub and Global Food Security

This presentation will describe the Midwest Big Data Hub and its focus on Digital Agriculture as a critical challenge for the 21st century. If the global population reaches over 9.5 billion by 2050, as expected, it is estimated that world food production must increase by 70%. Meeting these projected demands for food and feed will be a challenge while facing dwindling natural resources and climate variability. Significant advances in basic and applied interdisciplinary research, as well as in data and computational capabilities, must be achieved in order to better understand agro-ecosystems and leverage the services they provide. Underlying this economic and societal challenge are multiple data challenges, from data sharing to data privacy to data fusion. Brief overviews will be given of several high-impact data projects involving the Midwest and Great Plains regions, and ways to participate in the Big Data Hubs.


About Jennifer Clarke

Jennifer Clarke. May 12, 2014. Photo by Craig Chandler / University Communications

Jennifer Clarke, Ph.D., is an Associate Professor in Food Science and Technology, and Statistics, and the Director of the Quantitative Life Sciences Initiative at the University of Nebraska Lincoln. Dr. Clarke received her undergraduate degrees in Mathematics and Psychology from Skidmore University, a M.S. in Statistics from Carnegie Mellon University and a doctorate in Statistics from the Pennsylvania State University under the mentorship of C.R. Rao. She conducted postdoctoral research at the National Institute of Statistical Sciences in Research Triangle Park and the Department of Statistical Sciences at Duke University before joining the faculty at Duke. Prior to coming to UNL in 2013, she was a faculty member at the University of Miami in the Division of Biostatistics and the Center for Computational Sciences. She serves on the steering committee of the Midwest Big Data Hub and is co-PI on an award from the NSF focused on data challenges in Digital Agriculture. Her current interests include statistical methodology for metagenomics and prediction, and training the next generation of data scientists.

Wednesday, May 24: Daniel Reed

Wednesday, May 24: Daniel Reed

Data Writ Large: Technology, Culture and Collision

Big data and deep learning are the memes of the day, as we shift from a world where data was rare, precious, and expensive to one where it is ubiquitous, commonplace, and inexpensive. Massive digital data, powerful multilayer classification networks, and inexpensive hardware accelerators are bringing new data-driven approaches to discovery, challenging some long held beliefs, and illuminating old questions in new ways. Spanning our social experiences (think Netflix or Facebook), business and economics (automation of both physical and intellectual tasks), and research and scholarship (manuscript analysis via feature extraction or digital analysis of large text corpora). Like any new tool or technology, big data challenges and reshapes both our social and technical expectations.  This talk will discuss these challenges – how we reached this point — and where we are likely to go, including privacy and security, streaming data (sometimes called the Internet of Things), and the likely and possible futures of current and future data technologies.


About Daniel Reed

Daniel Reed imageDaniel A. Reed is Vice President for Research and Economic Development, as well as University Chair in Computational Science and Bioinformatics and Professor of Computer Science, Electrical and Computer Engineering and Medicine, at the University of Iowa.  Previously, he was Microsoft’s Corporate Vice President for Technology Policy and Extreme Computing, where he helped shape Microsoft’s long-term vision for technology innovations in cloud computing and the company’s associated policy engagement with governments and institutions around the world.

Before joining Microsoft, he was the Chancellor’s Eminent Professor at UNC Chapel Hill, as well as the Director of the Renaissance Computing Institute (RENCI), Vice Chancellor for IT, and the Chancellor’s Senior Advisor for Strategy and Innovation for UNC Chapel Hill.  Prior to that, he was Gutgsell Professor and Head of the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC) and Director of the National Center for Supercomputing Applications (NCSA). He was also one of the principal investigators and chief architect for the NSF TeraGrid, the world’s largest computing platform for open scientific research.  He received his PhD in computer science in 1983 from Purdue University.  Dr. Reed has served as a member of the U.S. President’s Council of Advisors on Science and Technology (PCAST), the President’s Information Technology Advisory Committee (PITAC), and the FCC’s Technical Advisory Committee, along with a wide variety of other federal advisory committees.