Proceedings of the 2011 New York Workshop on Computer, Earth and Space Science

TL;DR

The 2011 New York Workshop on Computer, Earth, and Space Sciences showcased interdisciplinary research, highlighting advanced machine learning and data mining techniques applied to astronomical and earth sciences to analyze large datasets.

Contribution

This collection presents recent interdisciplinary approaches and advanced data analysis techniques in astronomy and earth sciences, fostering collaboration across fields.

Findings

Introduction of new machine learning methods for astronomical data analysis

Integration of computational techniques in earth and space sciences

Enhanced understanding of universe and planet through data mining

Abstract

The purpose of the New York Workshop on Computer, Earth and Space Sciences is to bring together the New York area's finest Astronomers, Statisticians, Computer Scientists, Space and Earth Scientists to explore potential synergies between their respective fields. The 2011 edition (CESS2011) was a great success, and we would like to thank all of the presenters and participants for attending. This year was also special as it included authors from the upcoming book titled "Advances in Machine Learning and Data Mining for Astronomy". Over two days, the latest advanced techniques used to analyze the vast amounts of information now available for the understanding of our universe and our planet were presented. These proceedings attempt to provide a small window into what the current state of research is in this vast interdisciplinary field and we'd like to thank the speakers who spent the time to contribute to this volume.