Big Data Analytics for Agricultural Economics Research

Prof dr Joshua Woodard, Cornell University, Dyson School of Applied Economics and Management

Workshop organised by the Business Economics group (BEC) and Information Technology (INF) in collaboration with Wageningen School of Social Sciences (WASS)

Organised by Wageningen School of Social Sciences (WASS), Business Economics

Wed 5 October 2016 09:00 to 17:00

Venue Leeuwenborch, gebouwnummer 201
Room PC77
The purpose of the workshop will be to provide training and also conduct hands on use-cases using the Ag-Analytics platform (, focussing on integration and warehousing of large publicly available research data for broad communities of researchers, and use of big data platforms in research. Much of the data researchers routinely use in agricultural and environmental finance and related fields are often publicly available; however the form in which they are distributed leads to great inefficiencies in data sourcing and processing which can be greatly improved. The goal of the workshop will be to familiarize attendees with working with such large datasets for economic analysis using the Ag-Analytics open data/open source platform. Use of such systems for disseminating, documenting, and automating the processing of such data used in research can lead to more transparency, better routes for validation, and more credible research. Development and adoption of such systems and data resources is evolving quickly in social science research, particularly in the economics, natural resource, environmental, and agricultural finance spheres.