FEED | Workshop KDD 2018

Fragile Earth:

Theory Guided Data Science to Enhance Scientific Discovery

Call for Papers

We are excited to announce the Fragile Earth workshop at KDD ’18 in London on August 19th. 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.

Submission Guidelines

  • Papers should be formatted using the ACM Proceedings templates and should be submitted in PDF.
  • Paper submissions should be done via EasyChair:

Important Dates

  1. Workshop paper submissions: May 25, 2018,  11:59 PM Pacific Standard Time
  2. Workshop paper notifications: June 18, 2018,  11:59 PM Pacific Standard Time
  3. Workshop date: August 19, 2018



Naoki Abe

IBM Research, Senior Manager of Center for Computational and Statistical Learning

James Hodson

CEO, AI for Good Foundation, Senior Researcher, Jozef Stefan Institute Artificial Intelligence Lab

Ramakrishnan Kannan

Computational Data Scientist in Oak Ridge National Laboratory

Other Organizers

Chid Apte

IBM Research, Director of Blockchain, Cognitive Solutions and Mathematical Sciences

Rayid Ghani

Director, Center for Data Science and Public Policy, University of Chicago

Marko Grobelnik

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

Anuj Karpatne

A PostDoctoral Associate at the University of Minnesota

Vipin Kumar

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.

Shashi Shekhar

University of Minnesota, McKnight Distinguished University Professor, Department of Computer Science

Mitch Tuinstra

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