Theory Guided Data Science to Enhance Scientific Discovery
Workshop date: August 20
8:00 and onwards Registration
8:30 – 8:45 Introduction
8:45 – 9:30 Keynote: Ranveer Chandra (Microsoft Research)
9:30 – 10:00 Break
10:00 – 11:15 Research Track 1 (Theory-guided Data Science)
10:00 – 10:18 Vandana Janeja and Joshua Cole Cole, “Spatial Data Integration for Multi-Domain Knowledge Discovery”
10:19 – 10:37 Venkata Shashank Konduri, Jitendra Kumar, Forrest Hoffman, Udit Bhatia, Tarik Gouhier and Auroop Ganguly, “Physics-Guided Data Science for Food Security and Climate”
10:38 – 10:56 Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic and Kush R. Varshney, “Teaching machines to understand data science code by semantic enrichment of dataflow graphs”
10:57 – 11:15 Emilien Dupont, Tuanfeng Zhang, Peter Tilke, Lin Liang and William Bailey, “Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks”
11:15 – 12:00 Keynote: Jure Leskovic (Stanford University)
12:00 – 13:00 Lunch
13:00 – 13:45 Research Track 2 (Water)
13:00 – 13:22 Peter Rubbens, Marian Schmidt, Ruben Props, Nico Boon, Vincent Denef and Willem Waegeman, “A data-driven search for functional bacterial populations in aquatic systems using flow cytometry, 16S rRNA gene amplicon sequencing and the Randomized Lasso”
13:23 – 13:45 Klemen Kenda, Stamatia Rizou, Nikos Mellios, Dimitris Kofinas, Panagiotis D. Ritsos, Matej Senožetnik and Chrysi Laspidou, “Smart Water Management for Cities”
13:45 – 14:30 Keynote: Chaitanya Baru (NSF)
14:30 – 15:00 Break
15:00 – 16:00 Research Track 3 (Food)
15:00 – 15:20 Gautam Prasad, Upendra Reddy Vuyyuru and Mithun Das Gupta, “Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insight and Beyond”
15:20 – 15:40 Peder Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Mitch Tuinstra, Addie Thompson, Ronny Luss and Naoki Abe, “Learning to Detect and Count Panicles in Sorghum Images”
15:40 – 16:00 Venkata Shashank Konduri, Thomas J. Vandal, Sangram Ganguly and Auroop R. Ganguly, “Data Mining for Weather Impacts on Crop Yield”
16:00 – 16:45 Panel Discussion
16:45 – 17:00 Closing
Call for Papers
We are excited to announce the Fragile Earth workshop at KDD ’18 in London on August 20th. FEED ’18 will bring together the research, industry, and policy community around enhancing scientific discovery in the earth sciences through the joint use of data, theory, and computation. Whether it is food security, water scarsity, energy use, climate models, or the incorporation of theoretical thinking into data driven frameworks of scientific discovery, and related areas, we invite you to be part of the community!
We solicit three categories of papers: research papers, on-going work papers, and position/vision papers.
Research papers should be maximum 8 pages in length, on-going work papers maximum 6 pages and position or vision papers between 2 to 6 pages.
- Paradigms for enhancing scientific discovery through theory guided data science.
- Empirical investigations at the intersection of the earth sciences/sustainability and data.
- Data-informed Food/Energy/Water/Earth Sciences policy discussions.
- Frameworks for helping the scientific and KDD communities to work together
Accepted papers will be allocated to three themed sessions and a poster session. We expect presentations to last 15-20 minutes (including questions), and will prioritize submissions based on relevance, scientific rigour, and potential for societal impact.
IBM Research, Senior Manager of Center for Computational and Statistical Learning
CEO, AI for Good Foundation, Senior Researcher, Jozef Stefan Institute Artificial Intelligence Lab
Computational Data Scientist in Oak Ridge National Laboratory
IBM Research, Director of Blockchain, Cognitive Solutions and Mathematical Sciences
Director, Center for Data Science and Public Policy, University of Chicago
Research Director, Jozef Stefan Institute
Auroop R. Ganguly
Professor at Northeastern University in Boston, Director of the Sustainability and Data Sciences Laboratory (SDS Lab). A co-founder and the chief scientific adviser of risQ Inc.
Estevam Rafael Hruschka Junior
Associate Professor at Federal University of Sao Carlos DC-UFSCar. Adjunct Professor at Carnegie Mellon University MLD-CMU
A PostDoctoral Associate at the University of Minnesota
University of Minnesota, Head of Computer Science and Engineering
Thomas E. Potok
The founder and leader of the Computational Data Analytics group at the ORNL, a joint faculty member in the Computer Engineering Department at Duke University.
University of Minnesota, McKnight Distinguished University Professor, Department of Computer Science
Purdue University, Professor of Plant Breeding and Genetics, Wickersham Chair of Excellence in Agricultural Research
Ranga Raju Vatsavai
North Carolina State University (Joint Faculty, Oak Ridge National Laboratory), Associate Professor, Associate Director of Center for Geospatial Analytics