Dear colleagues, We are organizing a symposium in the joint Evolution conference in Montreal on 26-30 July 2024 *"Predicting evolutionary responses to a changing world"* Submission of talks for the symposium is open to anyone attending the conference. You can register here: https://www.evolutionmeetings.org/registration.html *Title* Predicting evolutionary responses to a changing world *Organizers* Moi Exposito-Alonso, moisesexpositoalonso@gmail.com, (SSE, ESEB) Stephen Keller, srkeller@uvm.edu , (SSE) Katie Lotterhos, k.lotterhos@northeastern.edu, (SSE, ASN) Seth Rudman, seth.rudman@wsu.edu, (SSE) *Abstract* Predicting evolution is both a fundamental test of our understanding of evolutionary processes and a management necessity. Forecasting biodiversity loss depends on accurately projecting how novel environments will disrupt existing adaptation and predicting the capacity for new adaptive responses. New theory and empirical data are needed to build, test, and refine these different areas of prediction. This symposium will bring together researchers working across systems and approaches to share the latest theory, case studies, and critical tests needed to evaluate the potential and limitations of predicting evolution. We welcome theoretical models of evolution in changing environments, genomic forecasting, evolve & resequence experiments, and studies of reaction norms or rapid evolution in wild populations responding to environmental change. The aim is to share new findings and ideas to spur integrative research on how, when, and where we can accurately predict evolutionary responses. Why do we do this symposium? The potential for adaptation to rescue populations facing rapid environmental change has brought renewed focus and urgency to the longstanding goal of predicting adaptation. Massive temporal and spatial genomic datasets combined with growing data streams from high-throughput phenotyping and remote sensing provides promise of major advances, but our tools to mine these data, our conceptual frameworks, and our integration across sub-disciplines are limiting the pace of progress. To encourage integration and spur new solutions we propose to bring together evolutionists focused on predicting adaptation working in disciplines including landscape genetics, experimental evolution, population genomics, and evolutionary theory. This multidisciplinary symposia will provoke a much needed conversation on best practices in the design of studies, the sharing of data and code in global repositories, and key areas for analytical and theoretical advances. Mois�s Exp�sito Alonso (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)