Dear Colleagues, this is an invitation to express your interest in participating as a speaker at the following mini-symposium for the IMACS 2023 that will be in September in Rome *Site of Congress*: https://www.imacs2023.eu/index.php/IMACS2023/IMACS2023 *Title of the mini_symposium*: “Graphical Models for Life Science” *Organizers*: Claudia Angelini, Daniela De Canditiis and Italia De Feis (IAC-CNR) *Abstract*: Graphical models are an elegant framework for describing complex systems of random variables. The nodes represent variables, while the edges represent relationships among variables, such as conditional independence. Bayesian networks are direct acyclic graphs, while Markov networks are undirect graphs, both have undergone enormous development in the last decades. Graphical models are helpful for the statistical analysis of data in various domains. Recently, they are becoming strategic for life science, allowing us to infer relations among variables such as genes/proteins/diseases/. However, their use in life science opens novel challenges due to the amount and heterogeneity of the data. This Special Session is open to theoretical and methodological contributions and innovative applications in life science. All interested researchers are welcome to email one of the organizers by the 20th of March 2023. Best Regards Claudia Angelini: claudia.angelini@cnr.it <c.angelini@na.iac.cnr.it>, Daniela De Canditiis: d.decanditiis@iac.cnr.it, Italia De Feis: i.defeis@iac.cnr.it -- Daniela De Canditiis, PhD Istituto per le Applicazioni del Calcolo "M.Picone" (CNR) via dei Taurini, 19 -- 00185 Roma, Italy tel: +39 06 49937342 fax: +39 06 4404306 https://www.iac.cnr.it/personale/daniela-de-canditiis