KDD 2017: Food, Energy, and Water

Data Science for Intelligent Food, Energy, and Water (DSIFEr)

in partnership with

What, Where, When

What: The Data Science for Intelligent Food, Energy, and Water full day workshop at KDD 2017

When: August 14, 2017

Where: Halifax, Nova Scotia – Canada


Submit Now!

Papers should be formatted using the ACM Proceedings templates, http://www.acm.org/publications/proceedings-template#aL2 and should be submitted in PDF.

Research papers should be no more than 8 pages in length, on-going work papers no more than 5 and position or vision papers no more than 4.

Submit papers here. Deadline, June 16th.


The World is at a Moment of Truth

In 2016, we used 1.6 times the global resources that the earth can sustainably regenerate. By 2050, we’ll add 2 billion people to the world’s population. It’s a zero-sum game, and we’re currently losing. The future availability of safe and sustainable food, energy, and water is a global concern, and one that must be dealt with swiftly. 1.2 billion people currently live without electricity, climate change threatens global crops, and fresh ground water is being depleted at an ever faster rate. How can Data Science and Artificial Intelligence help?

The Role of Data Science and Artificial Intelligence

From the United States National Science Foundation’s initiative on “Innovations in the Nexus of Food, Energy and Water Systems (INFEWS)” to the Stockholm Environment Institute initiating a conference on “The Water, Energy and Food Security Nexus, Solutions for the Green Economy,” governments, NGOs, and companies are beginning to understand and respond to these issues.

Historically, data collection in these areas has been private, ad-hoc, and functionally constrained–making broad analysis of the ecosystem difficult and costly. However, with the rise of cheap sensors, and the ability to instrument large parts of the food supply chain, energy delivery systems, and water systems, the time to apply advanced analysis is now.

The issues of Food, Energy, and Water Security/Sustainability reach across disciplines: from Chemistry and Biology, to Geography, Materials Science, Information Technology, Economics, and Sociology. At the heart of the technological challenge is data.

Goals of the Workshop

This workshop is an exploration of the technologies and methods that are helping to solve some of the world’s biggest challenges. DSIFEr will offer opportunities for in-depth discussion, sharing of methodology, and the release of new data/algorithmic resources related to food, energy, and water. The aim is to directly impact and support improvements across the board, including crop science, understanding the effects of annual climate variations on hydro-energy production, extreme event and anomaly detection for water/energy system security, and many other themes.

Who is the Workshop for?

  • KDD researchers and practitioners, statisticians and data scientists interested in making an impact through their work;
  • Agronomists, crop scientists, agricultural practitioners (farmers, cooperatives), industrial players (seed producers, equipment manufacturers, fertilizer producers, consumer products manufacturers and retailers, insurance companies);
  • Energy utility companies, water companies, private stakeholders;
  • Hydrologists, Environmental Scientists, Climatologists, and any other related sciences;
  • Food, energy, and water related government agencies and policy makers in public sector.

Who is Organizing the Workshop?


Naoki Abe

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


James HodsonJames Hodson

CEO, AI for Good Foundation

Senior Researcher, Jozef Stefan Institute Artificial Intelligence Lab


Other Organizers:

Chid Apte

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


Joseph Byrum

Senior R&D and Strategic Marketing Executive, Syngenta


Rayid Ghani

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


Marko Grobelnik

Research Director, Jozef Stefan Institute


Estevam Rafael Hruschka Junior

Associate Professor at Federal University of Sao Carlos DC-UFSCar. Adjunct Professor at Carnegie Mellon University MLD-CMU


Vipin Kumar

University of Minnesota, Head of Computer Science and Engineering


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


Paper Submissions:

Submit papers here.

Paper submission deadline is June 16, 2017 at 11:59 PM Pacific Standard Time.

Related Workshop:

KDD 2016 Workshop on Data Science for Food, Energy and Water: DSFEW 2016
c.f. Workshop report in KDD Explorations: Explorations article