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Event at Galileo Galilei Institute


Workshop

Exploring New Frontiers in Cosmology

Jul 06, 2026 - Jul 31, 2026



Abstract
The workshop will focus on the current state of cosmology, aiming to address some of its most pressing challenges, identifying key obstacles, and exploring promising opportunities from observational, phenomenological, and theoretical perspectives. Hosted at the Galileo Galilei Institute, the event will centre on two key themes: testing fundamental physics through upcoming cosmological and astrophysical observations, and resolving persistent issues such as cosmological tensions. The timing of the workshop is particularly significant, aligning with the anticipated arrival of extensive data from a wide array of cosmological and astrophysical probes expected in 2026. Participants will have a unique chance to engage with cutting-edge observations, contribute to their analysis and interpretation, and shape the future direction of cosmological research.

Organizers
Eleonora Di Valentino School of Mathematical and Physical Sciences, The University of Sheffield

William Giarè School of Mathematical and Physical Sciences, The University of Sheffield

Matteo Martinelli INAF - Osservatorio Astronomico di Roma

Vivian Poulin Laboratoire Univers & Particules de Montpellier, CNRS

Elsa M. Teixeira Laboratoire Univers & Particules de Montpellier, CNRS

Luca Visinelli Dipartimento di Fisica “E.R. Caianiello”, Università degli Studi di Salerno,

Local organizer
William Giarè

Contact
w.giare@sheffield.ac.uk
elsa.teixeira@umontpellier.fr

Related events
Exploring New Frontiers in Cosmology (Conference) - Jul 20, 2026

Exploring New Frontiers in Cosmology (Training Week) - Jul 06, 2026


- Cosmic distance ladder, supernovae cosmology and Hubble tension
- Measurements of the S8 parameter & S8 tension
- Cosmic Microwave Background Measurements and next-generation surveys
- Hints for Dynamical Dark Energy
- Cosmology and fundamental physics: Dark Matter, Dark Energy and Inflation
- Numerical tools for cosmology, Bayesian analysis and model comparison