De NMDC Roadshows

Links to the presentations and recordings will be available after August 15th 2023

Data Science Network

WenR en Deltares

05-07-2023 The impact of generative AI

“Exploring the impact of generative and conversational AI models”
“Night terrors in the land of AI: when greed preys on ignorance we all lose”

Data Science Network


14-03-2023 Data management and Engineering

Two in-depth presentations about data management and data handling

  1.  “The data workshop of the RIVM” by Job Spijker
  2. “Separating data and code or not” by Marieke de Graaf, The Factory/PBL

Recording of the roadshow

Data Science Network


06-12-2022 Data science applications on emissions and air quality

Two in-depth presentations of Data Science applications

  1.  “Integrating data to improve the spatio-temporal estimation of emissions – application to agricultural emissions of ammonia”,  by Jerry Ge
  2.  “Advection of super-species in air quality simulation: machine-learning guided model reduction”, by Arjo Segers

Recording of the roadshow

Data Science Network

PBL en WenR

17-05-2022 Machine learning; sharing experiences text mining and literature review

Two interesting presentations on applying Machine Learning to text.

  1. Lessons learned from the application of open-source Natural Language Processing software ASReview to a systematic literature review at PBL.
    About “Machine learning in literature reviews” by PBL, Stefan Troost
  2. Using text mining to identify new – potentially illegal – food supplements.
    About “Text mining & AI for food safety” by WUR, Yamine Bouzembrak/Hans Marvin

Recording of the roadshow

Data Science Network

KNMI en Deltares

22-02-2022 Data Science; sharing experiences

During this first session KNMI and Deltares will present their current situation regarding data
science in general with impressive examples. Next to this there are two more in-depth
presentations on the topic of data science: during these presentations there is enough time to
challenge the presenter, yourself or start a technical conversation.

The in-depth presentation of this first Knowledge exchange session are:
1. Machine learning and Fog Detection by KNMI, Andrea Pagani
2. Machine learning and Dam segmentation by Deltares, Gennadii Donchyts


Recording of the roadshow