Each year we have three best paper awards at the conference: one for the main track, one for posters, and one for workshops (selected from all workshop papers). The best paper awards are sponsored by Springer, and chosen by a dedicated committee.
This year we are proud to announce three new awards, in addition to the three above. These awards are sponsored by the University of Amsterdam Fund and amount to 500 EUR each.
- Originality Award
We are looking for papers that address either completely novel ways to model and simulate systems, or papers that address new computational application domains. Or combinations of both. - Industrial Relevance Award
We are evaluating papers against the potential use for industrial applications. Papers need to show at least a proof of concept. - Societal Relevance Award
We are living in a world full of challenges, from climate change to geopolitical tensions, all these challenges weigh heavy on our individual and societal well-being. Computational science can help understanding and even mitigating these challenges. We will evaluate papers with this in mind.
The best paper awards for ICCS 2025 are:
Best Main Track Paper Award
Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
Aristotle Martin, William Ladd, Runxin Wu and Amanda Randles
Best Workshop Paper Award
Dead Gate Elimination (QCW workshop)
Yanbin Chen, Christian B. Mendl and Helmut Seidl
Best Poster Paper Award
Modeling Firm Birth and Death Dynamics using Survival Fractions and Age Distributions
Yipei Guo, Hoai Nguyen Huynh and Ling Feng
Originality Award
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
Stefano Markidis, Jonah Ekelund, Luca Pennati, Andong Hu and Ivy Peng.
Industrial Relevance Award
Robust, Efficient and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
Huangxin Chen, Yuxiang Chen, Jisheng Kou, Shuyu Sun, Dunhui Xiao, Xuejun Xu, Haitao Yu, Tao Zhang, and Xiaoying Zhuang
Societal Relevance Award
Bias in Dermatological Datasets: A Critical Analysis of the Underrepresentation of Dark Skin Tones in Melanoma Classification Images
Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo, Luciano Caroprese and Caterina Arlia