Data Science and Astrobiology Blog
Data Science and Astrobiology
This blog features interesting topics in data sciences (image processing, natural language processing, machine learning, deep learning), computational sciences (from information theory and network theory to agent-based simulations) and complex systems (non-linear dynamics, heterogeneity, emergence, etc.) applied to space sciences and astrobiology. You can find the latest research at the intersection of these fields, as well as interesting historical facts.
Why Data Science and Astrobiology?Nov 5, 2020
Astrobiology is one of the newest and most interdisciplinary scientific field of study, and a very exciting one, that is researching the potential of life in the universe, the origins of life and the potential of life expansion in the Universe. It is formerly known as exobiology and the field includes not only biology, but also chemistry, physics, geology, astrophysics, social sciences, complexity sciences, information and computer sciences and many more. The field emerged from the necessity of answering some of the largest questions in science, from the origin of life, to how we define life and how can we detect it in other parts of the Universe.
About the author: Anamaria Berea
Anamaria Berea is an associate professor for the Department of Computational and Data Sciences. She current conducts research at the intersection of data sciences (with a focus on natural language processing), economics and astrobiology. She aims to understand communication in biological and social networks as an evolving complex system.