International Conference on Bayesian and Maximum Entropy methods in Science and Engineering

41st MaxEnt2022 Conference

July 18-22, IHP, Paris

MaxEnt'22 will be an hybrid event allowing the largest number of people to participate!

Important dates

  • Deadline for short abstract in 1 or 2 page (MDPI format): April 5th 2022 Extention deadline: April 17th 2022 (midnight CET)
  • Notification of acceptance: April 12th 2022
  • Registration for authors: from May 
  • Registration for other participants: from May
  • Deadline for conference paper in 8 pages (MDPI format) : June 14th 2022
  • Deadline for final reviewed paper for MDPI Proceedings (MDPI Format): September 6th 2022
  • Deadline for selected long papers for MDPI special issue (MDPI format): December 6th 2022

Easychair links for abstract and paper submission:

The 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt2022 will be held in PARIS organized by SEE ( under the auspices of « Centre national de la recherche scientifique (CNRS) » and « SCAI Sorbonne University ».

MaxEnt2022 will take place in INSTITUT HENRI POINCARE ( Since its creation in 1928, the IHP has taken an interest in all the disciplinary fields, especially at the interface between mathematics and theoretical physics. The Henri Poincaré Institute was inaugurated on November 17, 1928. This institute is organized around two missions: a teaching mission with the Chairs of Probability and Mathematical Physics and Physical Theory and a research mission with the invitation French and foreign scientists to give lectures in the field of physics and mathematics. Thanks to these two missions, a small group of mathematicians (Emile Borel, Maurice Fréchet, Georges Darmois) uses this institute to create a scientific field dedicated to the theory of probability in Paris. At the same time, they are using this institute to acquire a remarkable place on the international probabilistic scene. First lectures at IHP were given by Emile Borel, Maurice Fréchet and Léon Brillouin on Probability.

MaxEnt2022 strives to present Bayesian inference and Maximum Entropy methods in data analysis, information processing and inverse problems from a broad range of diverse disciplines: Astronomy and Astrophysics, Geophysics, Medical Imaging, Molecular Imaging and genomics, Non Destructive Evaluation, Particle and Quantum Physics, Physical and Chemical  Measurement Techniques, Economics and Econometrics. This year special interest will be on Geometric Structures of Heat, Information and Entropy.

MaxEnt2022 is held before the International Conference on Information Geometry for Data Science (IG4DS), Sept. 19-23, Hamburg, Germany.