Introducing the escience Center. Nicolas Renaud Groningen, 19/06/2018

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1 Introducing the escience Center Nicolas Renaud Groningen, 19/06/2018

2 Taking advantage of available digital technology Our mission: Enabling digitally enhanced research Photography: Elodie Burrillon

3 Brief history of the escience Center Jaren The upcoming of ICT; BSIK & FES projects escience Center founded by NWO & SURF External Review Go forward! New Cooperation SURF & NWO Jaren 00 More Coordination ICT-Regie; Taskforce NWO 2014 Nieuw board en director; escience own personeel

4 Our technological expertise areas Big data analytics Efficient computing Optimized data handling Scientific visualization Low power computing Databases Machine learning Accellerated computing Linked data Information retrieval Orchestrated computing Handling sensor data Computer vision High performance computing Information integration Information visualization Distributed computing Data assimilation Text mining

5 Enabling digitally enhanced research Together with academic researchers we want to advance the state of academic research Academic researchers

6 Enabling digitally enhanced research Collaborative projects We are driven by challenges faced by academic researchers Academic researchers

7 We are driven by challenges faced by academic researchers Photography: Elodie Burrillon

8 We are driven by challenges faced by academic researchers Our projects in 2017 Environment & Sustainability Life Sciences & ehealth Humanities & Social Sciences Physics & Beyond University of Exeter VU University Medical Center VU University Amsterdam University of Amsterdam Netherlands escience Center NIKHEF CWI Leiden University ASTRON Danmarks Meteorologiske Institut University of Twente Wageningen University CICERO Noorwegen University of Groningen Delft University of Technology VPLB University Medical Center Utrecht Surfnet Tilburg University KNMI Utrecht University Eindhoven University of Technology MAASTRO Clinic Open University Heerlen

9 Enabling digitally enhanced research Collaborative projects Research software We develop and promote reusable software o software guide o escience Academy Academic researchers

10 We develop high quality and reusable software Tailoring & developing Applying Research question Exploring Generalizing Re-using

11 We develop high quality and reusable software Photography: Elodie Burrillon

12 SPOT : Interactive visual data analytics tool

13 Enabling digitally enhanced research Collaborative projects Research software We believe that software and knowledge should be shared freely Academic researchers Sharing knowledge and software

14 We believe that software and knowledge should be shared freely Photography: Silo Agency

15 Research Software Directory Finding software Making software accessible Quickly judge relevance and quality Indicating return on investment

16 We believe that software and knowledge should be shared freely software Researchers Funders Return on investment Developers software Research Software Directory Policy makers

Enabling digitally enhanced research Collaborative projects Developing high quality research software We signal challenges and opportunities at the

17 Enabling digitally enhanced research Collaborative projects Developing high quality research software We signal challenges and opportunities at the intersection of software and academic research Academic researchers Sharing knowledge and software Taking advantage of increasingly powerful e-infrastructure

18 We signal challenges and opportunities at the intersection of software and academic research Research partners Digital infrastructures Public stakeholders Academic stakeholders R&D industry Research institutes & public knowledge organizations Computer & data science partners Research infrastructures International infrastructures Local digital infrastructure Domain specific Funding bodies National government Programs & initiatives EU

19 We signal challenges and opportunities at the intersection of software and academic research Photography: Elodie Burrillon

Photovoltaics (UT) Quantum Monte Carlo For

Exciton Dynamics (TU/E) Wind Farm Simulations

20 Quantum Dots for Energy Conversion (VU) Plasma Physics for Catalysis (TU/E) Joint Call for Energy Research Solid State Batteries (TU/D) Nanostructure for Photovoltaics (UT) Quantum Monte Carlo For OPVs (UT) Mutliphase Flows (TU/D) Multiscale Exciton Dynamics (TU/E) Wind Farm Simulations (RUG) 15 Research groups 2 Private partners 8 PhD students 10 escience Engineers

Workflows Machine Learning Mutliphase Flows

21 Quantum Dots for Energy Conversion (VU) Plasma Physics for Catalysis (TU/E) Solid State Batteries (TU/D) Nanostructure for Photovoltaics (UT) Quantum Monte Carlo For OPVs (UT) Molecular Workflows Machine Learning Mutliphase Flows (TU/D) Multiscale Exciton Dynamics (TU/E) Wind Farm Simulations (RUG)

22 Our team Photography: Elodie Burrillon

Let s stay in touch +31 (0)20 460 4770 info@esciencecenter.nl www.

23 Let s stay in touch +31 (0) info@esciencecenter.nl esciencecenter esciencecenter linkd.in/1j2us8s blog.esciencecenter.nl

HEALTH-RI THE NETHERLANDS

HEALTH-RI THE NETHERLANDS INTERCONNECTED DATA INFRASTRUCTURE FOR PERSONALIZED MEDICINE THE EUROPEAN OPEN SCIENCE CLOUD CHALLENGES AND POSSIBILITIES IN USING BIG DATA HEALTH RI AN INTRODUCTORY EXAMPLE WHY