Webinar – Collaborative GARDIAN Labs

This webinar, organized by the CGIAR Platform for Big Data in Agriculture, presents CG Labs–an open collaborative data science platform that allows researchers to work together on the same project using datasets securely transferred from GARDIAN and other trusted sources.

The CGIAR Platform for Big Data in Agriculture has developed the Collaborative GARDIAN Labs (CG Labs) as an offering of the GARDIAN Ecosystem. CG Labs is an open collaborative data science platform that allows researchers to work together on the same project using datasets securely transferred from GARDIAN and other trusted sources.

CG Labs helps discoverability, visualization, and collaborative analysis of data using R and Python programming languages. It enables secure transfer and storage of computer program codes and data files through Globus, another core shared service that the BIG DATA Platform provides. Shared analytical code will help accelerate analytics while avoiding duplication. This will ultimately increase efficiencies and facilitate the reproducibility of published work.

With CG Labs, we anticipate lowering the barrier to the practical use of big data in agricultural research.


Speakers

  • Medha Devare | Senior Research Fellow, International Food Policy Research Institute (IFPRI), Module Lead, CGIAR Platform for Big Data in Agriculture
  • Julian Ramirez | Senior Scientist on Climate Impacts, Alliance of Bioversity International and CIAT, Leader, Data Science for Climate Action
  • Pythagoras Karampiperis | Chief Executive Officer, SCiO
  • Jawoo Koo | Senior Research Fellow, IFPRI, Co-Founder, CGIAR Platform for Big Data in Agriculture, Coordinator, CGIAR Geospatial Data Community of Practice

August 21, 2020

CGIAR Platform for Big Data in Agriculture



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