Workshop data science in agri-food with virtual research environments

Workshop

Workshop data science in agri-food with virtual research environments

Wageningen Environmental Research invites you to join a workshop on using virtual research environments for data science in agri-food research on Tuesday, 2 July 2019. Register for this workshop using the form below.

Organisator Wageningen Environmental Research
Datum

di 2 juli 2019 09:00 tot 15:00

Locatie Orion, building number 103
Bronland 1
103
6708 WH Wageningen
+31 (0) 317 48 87 77
Zaal/kamer C-4042

This workshop is offered by AGINFRA+, a European H2020 ICT infrastructure project. AGINFRA+ is a part of the European Open Science Cloud (EOSC), the future infrastructure supporting open science and open innovation in Europe and beyond. AGINFRA+ develops a platform for virtual research in agriculture and food, and deploys virtual research environments (VRE) for agri-food use cases. A VRE is an online environment that provides research teams with a virtual working place to collaboratively perform data-intensive research. The VREs offer a range of tools to perform data analytics, data visualization, and semantics and to share data and algorithms in a FAIR manner.

The workshop will focus on applications in agronomic data science and agro-climatic and environmental modelling. You will get an introduction to the European Open Science Cloud and the role of virtual research. The features of AGINFRA+ will be explained and practical application of VREs will be shown through two demonstrators that were developed in AGINFRA+. In a hands-on session, you will also get the opportunity to test and evaluate these research environments and experience the advantages of virtual research. For this hands-on session, you will need your own laptop.

Some of the topics that are addressed are:

  • Collaborative data science research, using cloud-based virtual research environments
  • FAIR data and algorithms
  • Tools for virtual research: D4Science infrastructure, GCube and DataMiner to deploy and publish algorithms
  • Using Scala and the Akka framework to parallelize modelling
  • Using remote sensing services (Copernicus/Sentinel) for data science
Programme
09:00-09:15 Welcome with coffee
09:15-10:00 General introduction European Open Science Cloud and Virtual Research Environments
10:00-10:30 AGINFRA + Demonstrators: Crop growth modelling – agro-climatic modelling in the cloud
10:30-10:45 Coffee break
10:45-11:15 AGINFRA+ Demonstrators: Crop phenology – data analytics using remote sensing
11:15-12:15 Discussion and Questions, Evaluation
12:15-13:00 Lunch
13:00-15:00 Hands-on session – data science with AGINFRA+ (bring your own laptop)