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Entropy 2021 Best Paper Award

Winner announcement date (expired): 28 February 2021
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Dear Colleagues,

As the Editor-in-Chief of Entropy, I am pleased to announce the winners of the Entropy 2021 Best Paper Awards.

The winners are:

One Review Article:

“Classical (Local and Contextual) Probability Model for Bohm–Bell Type Experiments: No-Signaling as Independence of Random Variables”
by Andrei Khrennikov and Alexander Alodjants
Entropy 2019, 21(2), 157; https://www.mdpi.com/1099-4300/21/2/157

Three Research Articles:

“Nonlinear Information Bottleneck”
By Artemy Kolchinsky, Brendan D. Tracey and David H. Wolpert
Entropy 2019, 21(12), 1181; https://www.mdpi.com/1099-4300/21/12/1181

“Dynamic Maximum Entropy Reduction”
By Václav Klika, Michal Pavelka, Petr Vágner and Miroslav Grmela
Entropy 2019, 21(7), 715; https://www.mdpi.com/1099-4300/21/7/715

“Topological Information Data Analysis”
By Pierre Baudot, Monica Tapia, Daniel Bennequin and Jean-Marc Goaillard
Entropy 2019, 21(9), 869; https://www.mdpi.com/1099-4300/21/9/869

Each winner (corresponding author) will receive CHF 500 and a chance to publish a paper free of charge in Entropy in 2021.

On behalf of the assessment committee, I congratulate the winners on their accomplishments. We would like to take this opportunity to thank all the nominated research groups of the above exceptional papers for their contributions to Entropy, and to thank the Award Committee for voting and helping with these awards.

Prof. Dr. Kevin H. Knuth, Entropy

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