Back To Schedule
Wednesday, October 16 • 2:00pm - 2:45pm
Demystifying data science: Overview, trends, and examples

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Banner investments by the Big Data Platform like GARDIAN and AgroFIMS are intended to help mobilize CGIAR data for new and exciting research and new pathways to changing food and farming systems worldwide.  The full potential of these data will not be realized without new and exciting data science.  
In this session, we will provide a quick overview presentation (“What is data science?”) and the panelists will present their latest inspiring data science projects and discuss their potential applications in agriculture. Panelists will also discuss their most (and least) favorite data science techniques/technologies and give recommendations on what'd take to become a super data scientist.
As the session title suggests, the contents of this session will be presented in the most jargon-free way possible. Audiences are encouraged to alarm a jargon bell whenever further clarification is necessary.

Data & Science
Robert Hijmans 
Professor, University of California - Davis

Computational Creativity: AI for Product Composition
Robin Lougee
Research Industry Lead, IBM Research

Georeferenced data collection: Applications and opportunities
Todd Slind
VP Open Data and Development, Critigen

Image Labeling at Plantix
Thomas Friedel
Head of Machine Learning, PEAT // Plantix

avatar for Jawoo Koo

Jawoo Koo

Senior Research Fellow, IFPRI

avatar for Robert Hijmans

Robert Hijmans

Professor, UC Davis
avatar for Robin Lougee

Robin Lougee

Research Industry Lead, IBM Research
avatar for Todd Slind

Todd Slind

Vice President Open Data and Development, Critigen
avatar for Thomas Friedel

Thomas Friedel

Head of Machine Learning, PEAT GmbH // Plantix
I develop models to detect plant diseases from photos for our app Plantix. Among other things I'm in interested in solutions that allow us to scale up labeling of images. What would you do with our data (millions of images showing plants, date & location, crop type, plant disease... Read More →

Wednesday October 16, 2019 2:00pm - 2:45pm GMT+05
Plenary 2 (Auditorium) ICRISAT-HQ