About our group

Welcome to the DeepThought Initiative, our collaboration is an interdisciplinary group of astrophysicists and data scientists researching computational meta-research in astrophysics. As our global research community continues to grow at an unprecedented rate, our traditional research practices struggle to keep up. We can leverage recent technological advancements, such as machine learning, to improve research processes from peer review to research management. Our goal is to assist researchers through the entire research cycle, from optimizing resource allocation to reducing bias in peer review.Explore our website to learn more about our work and stay up-to-date with the latest news and developments!

Recent Research

Identifying Telescope Usage in Astrophysics Publications: A Machine Learning Framework for Institutional Research Management at Observatories

Vicente, our graduate student and collaborators, have developed a machine learning framework that automatically identifies when scientific facilities like telescopes are used in astrophysics papers, addressing a long-standing challenge in tracking research facility usage.

MIDSURE 2022

Poster presentation at the Mid-Michigan Symposium for Undergraduate Research Experiences 2022

PACMan Web Application

Web application for PACMan a machine-learning tool to streamline the review process for telescope proposals.