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

Where: Halifax, Nova Scotia – Canada [ROOM 304]

When: Monday, August 14, 2017, 8am – 5pm


08:00-08:15       Welcome & Introduction

08:15-09:00       Keynote: Malcolm Campbell (VP of Research, Univ. of Guelph)

## 09:00-10:00 Presentations 1: Energy & Water ##

09:00-09:20      G. Zheng et al, “Assessing environmental impacts of Shale-gas development”
09:20-09:40      H. Wang et al, “A smart water management framework based on Big Data and IoT”
09:40-10:00       J. Costa, et al “Data analytics in aquaculture”

## 10:00-10:30 Coffee break ##

10:30-10:45       Invited Talk: Melissa Cragin (Midwest Big Data Hub)

## 10:45-12:00 Presentations 2: Food ##

10:45-11:04       Denton, et al, “Window-based fractal dimension as geospatial data type”
11:04-11:23       M. Yu, et al, “Multi-task learning using task clustering with applications to predictive modeling and GWAS of plant varieties”
11:23-11:41       A. Goun, “Structural optimization of multi-chromophore fluorescence detection experiments”
11:41-12:00       J. Harris, “A machine learning approach to forecasting consumer food prices”

## 12:00-13:00 Lunch ##

13:00-13:40      Keynote: Dan Dyer (Global Head, Seed Development, Syngenta)

## 13:40-15:00 Presentations 3: AI Challenge ##

13:40-14:00      T. Aviv et al, “Ensemble of Cubist models for soy yield prediction using soil features and remote sensing variables”
14:00-14:20      H. Lin et al, “Gradient boosting model in predicting soybean yield and probabilistic decision-making in elite selection”
14:20-14:40      D. Jajetic, “SNP-based soybean variety selection”
14:40-15:00      Q. Pan, et al, “Portfolio selection and yield prediction report”

## 15:00-15:30 Coffee break ##

15:30-15:45      AI Crop Challenge Awards

15:45-16:45      Panel: “Bringing Intelligence to Global Sustainable Development”

“With unprecedented attention on Data Science and Artificial Intelligence
in practically every industry, what impact can intelligent technologies
have on some of the biggest challenges we face as a global community
over the next 30 years? How do we get there? What are the biggest
obstacles we will have to overcome?”

Chair: James Hodson

Malcolm Campbell (University of Guelph)
Melissa Cragin (Midwest Big Data Hub)
Dan Dyer (Syngenta)
Rayid Ghani (University of Chicago)
Marko Grobelnik (AI for Good Foundation)
Vipin Kumar (University of Minnesota)

16:45-17:00 Closing ##

Data Science for Intelligent Food, Energy, and Water

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?


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


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:

The submission deadline was 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