Symposium

Scientific Symposium: FAIR Data Science for Green Life Sciences

Developments in data science offer enormous opportunities for the agri-food chain and life sciences. Advances in information science and technology, data science and analytics, applied to domain specific developments are expected to enable breakthroughs in the agri-food domain. Wageningen University & Research is building on current efforts of applied data science and actively surveying its research domain for new opportunities. Here, we adopt ‘green life sciences’ as a shorthand for this research domain.

Organised by	Wageningen Data Competence Center
Date	Wed 12 December 2018
Venue	Orion building, Wageningen University & Research, Wageningen, the Netherlands
Price description	Free

The Wageningen Data Competence Center – part of Wageningen University and Research – is organising a one-day scientific symposium on FAIR Data Science for Green Life Sciences. The symposium focuses 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 aims to bring 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.

Keynote speakers

Prof. Dr. Ir. Arthur Mol, Rector Wageningen University & Research
Dr. Suzanne Pierce, Texas Advanced Computing Center at the University of Texas, Austin
Prof. dr. ir. Wilco Hazeleger, Netherlands eScience Center
Prof. dr. Jaap Heringa, Bioinformatics, Free University Amsterdam
Dr. Peter Wittenburg, Max Planck Institute for Psycholinguistics, Nijmegen
Prof. Barend Mons, Leiden University

Discussion Panel

Melanie Imming, SURFsara
Suzanne A. Pierce, University of Texas
Leanne Wiseman, Griffith University
Willem Jan Knibbe, Wageningen Data Competence Center

For questions, please contact dr.ir. Chantal Hukkelhoven (Research Coordinator Wageningen Data Competence Center) at: chantal.hukkelhoven@wur.nl, or ir. K. Andeweg at: karin.andeweg@wur.nl.

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Connecting data

Look back & outcomes

Programme

The Symposium will adress:
• 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.

FAIRifying challenge

How do you make your research data Findable, Accessible, Interoperable and Re-usable? By just doing it in a FAIRifying challenge. In a limited amount of days before the symposium, linked data specialists, ontologists and domain experts from WUR, GO FAIR, Micelio, DTL & GODAN will collaborate with food safety research institute RIKILT to demonstrate how research data can be made FAIR. During the symposium, they will share their struggles, gains, lessons learned and opportunities that machine readable FAIRdatapoints provide to answer research questions.