Meetings and Events

 The Statistical Challenges in Modern Astronomy (SCMA) conference is truly cross-disciplinary — presentations by invited scholars of astronomical and data sciences are mixed in a program that pursues both scientific and methodological goals.

Themes include statistical modeling of astronomical phenomena, discovering hidden astronomical signals, and enhancing the roles of machine learning for astrophysical insights. The SCMA VIII conference is being held at a critical moment in time, as astrostatistical efforts are thriving around the world with increasing impact on the broader research enterprise.

Detailed information can be found here.

What could be a bigger source of "big data" than the entire Universe? Researchers in statistics and computer science are developing new methods to analyse the "big data" that companies and governments want to understand. To test out these methods they need big datasets that everyone can share --- and new astronomical telescopes just happen to be gearing up to generate observations of billions of stars and galaxies that fit the bill. Insights from statistics will help astrophysicists to get the most out of these observations. The Astrostatistics 2023 workshop will bring together statisticians and astrophysicists to learn the technical languages of the two fields and identify how to work together to combine the excitement of space with big data.

Detailed information can be found here.

Frontiers in Machine Learning in Cosmology and Particle Physics 2023 is a workshop on the latest machine learning developments in the domains of cosmology and particle physics. It takes inspiration from the influential workshop series "Hammers & Nails", organised every other year by the Weizmann Institute of Science, Israel.

More details can be found here.