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on 13 Dec 2018 12:00 AM

On 12 December 2018, the Wageningen Data Competence Center – part of Wageningen University and Research – organised a one-day scientific symposium on FAIR Data Science for Green Life Sciences. The event focused on state-of-the-art knowledge in data science and data management, new applications in the green life sciences, and insights from other domains that could be transferred. The symposium brought together researchers and domain experts for discussion and exchange of ideas of the latest developments in data science as well as on the best practices within the green life sciences.

The Symposium adressed:
• Research data infrastructures, related to physical infrastructure, architecture and service layer design, data management, (high performance) computing tools and parallel processing methods.
• Data science and analytics, machine learning algorithms and applications, data driven hypothesis development and testing, pattern recognition, visualisation tools, predictive analytics.
• (Possible) applications in and cross-overs with the green life sciences.
• Secure data governance and data sharing with special attention to the protection of privacy and commercial interests.

• Critical reflection on ethics and impacts of data science and digitalisation.

The Wageningen Environmental Research Unit as AGINFRA+ project partner, presented some interesting information on the AGINFRA+ project and in particular, related to the Agro-climatic & Economic Modelling Community that the unit examines and to the progress of unit's pilot VRE. 

You can check out both the abstract and the presentation of AGINFRA+ project here while more information regarding the event and the rest of the presentations here. 

ABOUT THE PROJECT

OUR COMMUNITIES

The selected AGINFRA+ Use Cases will illustrate the benefits of applying the Science as a Service approach to pressing research questions from the corresponding research communities.

AGROCLIMATIC AND ECONOMIC MODELLING

This community focuses on use cases aim to support the workflow of researchers, intermediaries and business analysts working on crop modelling, crop phenology estimation and yield forecasting, as well as related activities in the area of policy and decision support in food security, farm management advice and related activities.

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FOOD SAFETY RISK ASSESSMENT

This community focuses on use cases to support scientists in the multidisciplinary field of risk assessment and emerging risk identification as there is currently a strong need to create new technology-supported solutions that facilitate the knowledge integration processes relevant for these tasks.

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FOOD SECURITY

This community focuses on use cases related to the high-throughput phenotyping large amount of data which need to be analyzed immediately for decision making. This aims to support phenomics researchers to select plant species and varieties which are the most adapted to specific environments and to global changes.

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