Meetings and Events

The goal of the Summer School for Astrostatistics is to guide advanced undergraduates, masters and graduate students, and early postdocs in the use of the most common statistical tools for the analysis of a wide variety of data. Each session includes an introductory class followed by a workshop (hands-on analysis of astronomical data), and poses particular emphasis on the development of coding abilities which will serve as a quick reference for everyday work.

Detailed information can be found here.

This symposium is under the broad umbrella of astroinformatics and astrostatistics but with an emphasis on the dissemination and demystification of deep learning techniques. We hope to encourage fusion of large datasets to enable exploration of combined parameter spaces that have so far remained unexplored. Using such diverse types as images, time series, spectra, and astrophysical simulations, one of our aims is to establish a list of reproducible "best-practices" solutions for astronomy data. The conference is part of the IAU Symposium Series.

Detailed information can be found here.

iid2022 is a Workshop and Winter School on Statistics aiming to further and disseminate the use of statistical methods for astronomy, the physical sciences, and related disciplines. The specific focus of this workshop is on statistical methods for event data, given their ubiquity in astronomy. A majority of astronomical data begin with the collection of individual events - typically photons - and therefore they fall under the general area of `event data'. As datasets become more complex and computers enable more sophisticated methods of analysis, it is useful to bring together data experts and mathematical statisticians to discuss how statistical methods are applicable to the data. 

Detailed information can be found here.

The SCMA VIII conference is planned to be held in-person on the Penn State campus, June 12–16, 2023. 

More details soon.