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<div style="direction: ltr;">Dear Colleagues,</div>
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We would like to bring to your attention the 10th Information and Statistics in Nuclear Experiment and Theory (ISNET-10) Meeting that will take place November 10-15, 2024 at Fudan University, Shanghai, China. More information can be found here:
<a href="https://napp.fudan.edu.cn/event/757/" id="OWA78f4a0dc-b901-4dc0-fc6d-5deebc92bbd8" class="OWAAutoLink" data-auth="NotApplicable">
https://napp.fudan.edu.cn/event/757/</a>.</div>
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<div style="direction: ltr;">ISNET's mission is to bring 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.</div>
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Topics covered at ISNET-10 include:<br>
Uncertainty quantification and statistical analysis<br>
Emulators and optimizations<br>
Model mixing and data mining<br>
Machine learning<br>
Bayesian inference<br>
Statistics techniques in nuclear experiments<br>
New frontiers of nuclear physics</div>
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<div style="direction: ltr;">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.</div>
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<div style="direction: ltr;">International and Local Advisory Committees:</div>
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<div style="direction: ltr;">D. Philips<br>
A. Ekstroem<br>
T. Horn<br>
D. Ireland<br>
A. Lovato<br>
A. Lovell<br>
J.C. Pei<br>
M. Piarulli<br>
O. Surer<br>
I. Vernon<br>
R. Wilkinson<br>
Y.G. Ma<br>
S.M. Wang<br>
F.R. Xu</div>
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