The winner will organize a workshop at the Lorentz Center@Snellius in Leiden, the Netherlands.
This year the focus is Digital Twins.
Digital twins are virtual representations of real-world objects or systems. Digital twins typically use several coupled models, sometimes supported by machine learning, and are refined with real-time data. Coupled with interactive analysis and visualization, this technology enables new insights and scientific discoveries. Moreover, it allows researchers and policy makers to run what-if scenarios, supporting decision making.
What we seek
• an innovative scientific case, that takes us beyond current boundaries
• an open and interactive format, with few lectures
• at least one scientific organizer based within and one outside the Netherlands
• at least one scientific organizer from academia and one from the public/private sector
What we offer
• a 5-day workshop for up to 25 people in the second half of 2023
• contributions from one or more “Digital Twin” experts from the eScience Center, with expertise in the area of model coupling, data assimilation, analytics, visualization, machine learning, and high-performance computing
• travel and accommodation reimbursements
• no registration fees or other organizational costs
• professional organizational support, under the philosophy ‘you do the research, we do the rest’
• Hybrid format also an option
Procedure
• a 1-page expression of interest by 25 April 2022
• announcement selection of shortlist before 17 May 2022
• a full application by 13 June 2022
• final decision beginning of July 2022
• submit applications to: proposal@lorentzcenter.nl
• peer review process; final decision by the directors
Please find answers to several FAQs here.
Contact
Programme Management Netherlands eScience Center, lorentz-calls@esciencecenter.nl
Henriette Jensenius, scientific manager Lorentz Center, jensenius@lorentzcenter.nl
Previous Lorentz-eScience call winners
2021
Boosting (sub) seasonal forecasts with Explainable AI
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
2020
Technologies for Enhanced Documentation of African Languages: creating synergies
Sara Petrollino, Leiden University
Felix Ameka, Leiden University
Daan van Esch, Google
Mmasibidi Setaka, South African Center for Digital Language Resources
Emmanuel Prof Ngue Um, University of Yaoundé 1
2019
Hot but Habitable: Innovating to Adapt to Heat Waves of the Future
Hunter Jones, NOAA
H.A.M. Daanen, VU Amsterdam
Joy Shumake-Guillemot, World Meteorological Organization
Peter van den Hazel, Public Helath Services Gelderland & Overijssel
2018
Artificial Intelligence in Cybersecurity
Vincent Lengkeek, Joint Sigint Cyber Unit
Roy Lindelauf, NLDA The Hague
Arnout van de Rijt, Utrecht U
Paulo Shakarian, ASU Phoenix
V.S. Subrahmanian, Dartmouth College
2017
Crowdsourcing for Medical Image Analysis
Lora Aroyo, VU Amsterdam
Alessandro Bozzon, Delft University of Technology
Veronika Cheplygina, Eindhoven University of Technology
Danna Gurari, UT Austin
Zoltán Szlávik, IBM Amsterdam
2016
eWUDAPT: Bringing eScience to Urban Climate Mapping and Modelling
Alexander Baklanov, WMO Geneva
Bert Holtslag, Wageningen UR
Gerald Mills, UCD Dublin
Gert-Jan Steeneveld, Wageningen UR
Natalie Theeuwes, University of Reading
