CosmoVerse@Lisbon
30 May - 01 June 2023, Lisboa, Portugal

Our understanding of the Universe is at a turning point with the predictions of the standard cosmological model and the observations from different surveys are showing tensions in several key areas. The disagreement is expressed in the value of cosmic expansion as well as in the growth of large-scale structure in the Universe. New cosmological surveys, many of which are European, may expose tension in additional areas of the concordance model. The question of cosmological tensions can be confronted in a number of ways. Firstly, survey data needs to be further analysed for potential systematic uncertainties or biases. Secondly, there have been numerous advances in approaches to data analysis and statistics, some of which provide less dependence on cosmological models to make cosmological parameter estimates. Lastly, there are a plethora of new proposals from fundamental physics which range from novel neutrino physics to dark energy proposals (and others) which may contribute to a solution to the cosmological tensions problem. These represent the three research themes through which cosmological tensions will either be alleviated or resolved.

CosmoVerse@Lisbon is the first annual conference in a series of conferences which aim to establish a synergy between the different research areas in cosmology, and foster a sustainable network based on interdisciplinary research in order to confront the growing challenges of tensions in cosmological survey data. This conference is  organized within the Cost action initiative CA21136 - Addressing observational tensions in cosmology with systematics and fundamental physics (CosmoVerse).
 
Main topics:

• Fundamental Physics (challenge of the cosmological hypothesis, dark energy and modified gravity, neutrino physics, dark energy and dark matter interaction)
• Observational cosmology and Systematics (cross-correlation of data, systematic effects)
• Data analysis (astrostatistics; data science in astronomy; Bayesian analysis; machine learning and artificial intelligence)

The conference will take place in Lisbon at Faculdade de Ciências da Universidade de Lisboa in the period 30 May-1 June 2023.
 
Registration, abstract submission, and detailed logistical information is available at the conference website.


SOC
Jackson Levi Said (University of Malta, MT)
Eleonora Di Valentino (Sheffield University, UK)
Noemi Frusciante (UNINA, IT)
Agnieszka Pollo (National Center for Nuclear Research, PL)
Radoslaw Wojtak (Niels Bohr Institute Dark, DK )


LOC
Giuseppe Fanizza (IA/FCUL, PT)
Inês S. Albuquerque (IA/FCUL, PT)
Bruno J. Barros (IA/FCUL, PT)
José Pedro Mimoso (IA/FCUL, PT)
Marina Cortês (IA/FCUL, PT)