Information and Statistics in Nuclear Experiment and Theory

The purpose is to maintain ISNET's mission of bringing the nuclear physics and statistical sciences communities together to report on the latest progress and to provide a vehicle for educating and enlightening the nuclear physics community in regard to the application of statistical methodologies that enable nuclear physics to reach more quantitatively rigorous scientific conclusions.

The dates for ISNET-10 are November 10th - 15th, 2024. There will be a reception on Sunday evening, and the academic schedule will start on Monday morning and end on Friday afternoon.

For 2024 ISNET-10 will be a "hybrid" meeting. All talks will be delivered on-site, but sessions will also be broadcast via ZOOM for remote participants. 

There are no conference fees for ISNET-10. The meals will be covered by the local committee, for which details will be provided later. 
 

Topics that will be covered:

1. Uncertainty quantification and statistical analysis
2. Emulators and optimizations
3. Model mixing and data mining
4. Machine learning
5. Bayesian inference
6. Statistics techniques in nuclear experiments
7. New frontiers of nuclear physics