Date: August 6, 2020
Duration: 90 min
Summary
The BIG DATA Platform has developed 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.
CGLabs 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 CGLabs, we anticipate lowering the barrier to the practical use of big data in agricultural research.
Presenters
Medha Devare - Senior Research Fellow at IFPRI and leads "Organize", one of the three Modules of the CGIAR Platform for Big Data in Agriculture, spearheading data management efforts across CGIAR Centers. Medha is an agronomist and microbial ecologist with experience in bioinformatics, data management and semantic web standards and tools. Working at CIMMYT, she previously led the USAID-funded Cereal Systems Initiative for South Asia in Nepal (CSISA-NP) to increase the productivity and profitability of small farmers in western Nepal. Medha received her PhD from Cornell University, where she also worked to develop VIVO, a semantic web application for representing research and scholarship.
Julian Ramirez - Agricultural Engineer with a PhD in Environmental Sciences from the University of Leeds. Julian joined CIAT after a postdoctoral fellowship to lead research on climate impacts and adaptation. Julian’s research spans disciplines including climate change adaptation, crop modeling, agro-meteorology, biodiversity conservation, and geographic information systems. Julian has published more than 50 peer-reviewed articles, including in high-impact journals such as PNAS and Nature. His work on climate adaptation has been internationally recognized by the United Nations. In the Alliance, Julian leads a team of young and talented researchers with expertise on agricultural, food systems and climate modeling, climate change, and geographic information systems.
Pythagoras Karampiperis - CEO of SCiO. He is an expert on bid data analytics, semantic web technologies, machine learning, data mining, and artificial intelligence and has been involved in the conception, coordination and realization of more than 35 international and national projects, including the design and development of the CGIAR GARDIAN platform. He is the co-author of more than 70 publications in scientific books, journals and conferences with more than 1100 known citations (h-index: 18), as listed in Google Scholar.
Webinar summary- CGLabs — Blog post page with a video recording of the webinar.