Wageningen Data Science Week

During this week, attention will be given to requirements and potential advances in data science applied to environmental science in various events. Education, Data Management, Infrastructure, and Value Creation will be discussed and investigated. Crash courses, a data sprint, workshops, a documentary and an Exchange Market in the agenda. The international ISESS Conference is part of this week. ISESS participants are welcome to join the Wageningen Data Science Week and visa versa.

Organised by WDCC and ISESS

Mon 3 February 2020 until Fri 7 February 2020

Preliminary Programme:
Wageningen Data Science Week: Data Science in Action 3-7 February 2020

Monday 3 February

Chose between:

09.00 – 17.00 Crash course Machine Learning for beginners / Aalt-Jan van Dijk and Gert Kootstra

This course includes various aspects of machine learning. Examples are decision trees, linear regression, neural networks, Brix prediction and casus regression.  

The maximum number of participants is 40. If you have been accepted, you will receive a confirmation of admission by email. Please bring your own case. A lunch will be provided around 12.00.

09.00 - 17.00 Crash Course: Data Science in R by Ioannis Baltzakis and Alejandro Morales Sierra from R Academy

Consists of 2 parts:

09.00 - 12.00 R for Data Science

13.00 - 17.00 From messy data to interactive dashboards with R

The maximum number of participants of the afternoon workshop is 35. If you have been selected, you will receive a confirmation of admission by email. Participating the lecture in the morning is obliged for this course. A lunch will be provided for all participants of the afternoon session.

In the crash course morning session the registered participants will learn the basics of using R for data science. In the afternoon we will follow along a workflow that will take them from messy dataset to an interactive report. Reports are an integral part of the data science workflow as they can provide quick and valuable insights to your data, for data driven decision making.

Tuesday 4 February
09.00 – 21.00 FAIR Data Sprint / Erik van den Bergh

The FAIR data sprint will be a Bring-Your-Own-Data event where the goal will be to register and store FAIR data. During the sprint, participants will get hands-on experience in transforming their own data into FAIR data, learning about the standards and practical techniques along the way. Working together in small groups will allow participants to benefit from group knowledge to contribute to the goal of the FAIR data sprint: To submit as much FAIR data as possible in 12 hours!

The maximum number of participants is 40. If you have been selected, you will receive a confirmation of admission by email. Lunch, dinner, drinks and bites will be provides during the day.

10.00 – 17.00 Landelijk Coordinatiepunt Research Data Management (LCRDM) Meeting "Digital/Data Competence Centers: running for Value Creation" / Jacquelijn Ringersma (register below:



Wednesday 5 February

09.30 – 10.00  Registration
10.00 – 11.15 “The Overview”

10:00 Grand Opening (Jack van der Vorst - WUR)

10:15 Data Commons in Action! (Marleen Stikker - Waag)

10:35 Environmental Software Systems (Steven Frysinger - James Madison University)

10:55 The IBM Way (Dan Wolfson, Bruno da Costa Flach)

11.15 – 11.45 Coffee break + poster exhibition

11.45 – 13.00 “Applications and Alliances”

11:45 Triple Digital Twins (three pitches from WUR investment theme Digital Twins)

12:15 Connecting to OnePlanet (Marcel Zevenbergen)

12:30 The National Economic Perspective (to be confirmed)

12:45 The Netherlands AI Coalition (Sander Ruiter)

13.00 – 14.00  Lunch

Please choose between the following parallel sessions:

14.00 – 16.00  WUR Campus Data Science Exchange

Poster pitches
Company info stands

14.00 – 16.00  Workshop Smart Agri Hubs by Sjaak Wolfert 

The maximum number of participants is 50. If you have been selected, you will receive a confirmation of admission by email.

14.00 – 16.00 “Data Science in Action”

14:00 Data Science benchmarking with applications to Environmental Science (Martha Larson - RU)

14:20 Human Data Science (Daniel Oberski - UU)

14:40 Data Science in Action (Three pitches from Data Management, Infrastructure, Education resulting in Challenges for Data Science in Action)

15:00 Panel Discussion: How to Answer Challenges in Data Science in an AI Lab? (All Keynote Speakers)

15:30 ICAI Labs – What, Why, How (Maarten de Rijke - ICAI)

Early evening programme

16.00 – 18.30 Drinks, Bites & Posters

19.00 – 20.30 ISESS Conferentie diner (open to ISESS participants, and contributors to the programme)

Thursday 6 February
details for programme please click the following link:

Programme here

10.00 – 18.00  ISESS Conference (only for ISESS participants)
17.00 – 18.00  Drinks and Bites (only for ISESS participants)
18.00 – 20.00  Small Meal and Drinks (only for participants in the documentary)
18.00 – 20.00 Documentary: Data science pioneers: Conquering the Next Frontier / Lotte de Vos

With humour and humanity, this documentary presents passionate data scientists driving us towards technical revolution.

Friday 7 February
09:00 – 12:00 ISESS Conference (only for ISESS participants)
12:00 – 13:00 Closing lunch (only for ISESS participants)

This Wageningen Data Science Week is organized by the Wageningen Data Competence Center (WDCC) in collaboration with the International Symposium on Environmental Software Systems (ISESS).

“The Wageningen Data Science Week aligns to the principles of Open Science and Education”