Lorentz-eScience Competition winner 2022

The proposal ‘Boosting (sub) seasonal forecasts with Explainable AI’ is the winner of the Lorentz-eScience Competition 2021-2022.

Earlier this year the Lorentz Center and the Netherlands eScience Center invited researchers to join the Lorentz-eScience Competition 2022 and to apply for a leading-edge workshop on explainable artificial intelligence (XAI) for science.


The winning proposal is:

‘Boosting (sub) seasonal forecasts with Explainable AI’ by:

  • Dim Coumou, Vrije Universiteit Amsterdam
  • Maurice Schmeits, Royal Netherlands Meterological Institute (KNMI)
  • Daniela Domeissen, ETH-Zurich
  • Jakob Runge, DLR Institute of Data Science
  • Michael Scheuerer, Norwegian Computing Center


Aim

The aim of this workshop is to unite climate scientists, data scientists, seasonal-forecast and XAI experts to improve sub-seasonal to seasonal (S2S)-predictions of heatwaves and droughts.

 

“Relevant and practical”
The field of competing plans was very strong, and the following quote from the evaluation committee exemplifies the motivation of the choice:

“Scientifically relevant but also practical, by means of concrete case studies; explicitly includes the eScience Center and its experts.”

 

Venue and contact

We look forward to hosting this intriguing and challenging workshop next year at the Lorentz Center. The workshop will be held from 5 to 9 September 2022, at our Snellius venue in Leiden, The Netherlands.

 

The Lorentz Center and the Netherlands eScience Center thank all applicants who took the time to submit their proposal. For more information about the Lorentz-eScience Competition and to stay connected about future opportunities, please visit the website.

 

  

 

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