12โ€“17 Jul 2026
University of Graz
Europe/Vienna timezone

Session

Advanced Progresses in Population Models Driven by Natural and/or Artificial Intelligence

MS124
13 Jul 2026, 10:40
University of Graz

University of Graz

Presentation materials

There are no materials yet.
Edward Thommes (University of Guelph and Sanofi)
13/07/2026, 10:40
Population Dynamics, Ecology & Evolution
Minisymposium Talk
John Glasser (Emory University)
13/07/2026, 11:00
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Junling Ma (University of Victoria)
13/07/2026, 11:20
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Monica Cojocaru (University of Guelph)
13/07/2026, 11:40
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Naveen Vaidya (San Diego State University)
13/07/2026, 15:00
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Troy Day (Queen's University)
13/07/2026, 15:20
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Zhilan Feng (National Science Foundation)
13/07/2026, 15:40
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Jane Heffernan (York University)
13/07/2026, 16:00
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Daniel Cooney (University of Illinois Urbana-Champaign)
13/07/2026, 17:00
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Junping Shi (College of William & Mary)
13/07/2026, 17:20
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Kunquan Lan (Toronto Metropolitan University)
13/07/2026, 17:40
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Samares Pal (University of Kalyani)
13/07/2026, 18:00
Population Dynamics, Ecology & Evolution
Minisymposium Talk
Dr Edward Thommes (Sanofi Pasteur), Dr John Glasser (Emory University), Dr Junling Ma (University of Victoria), Dr Monica Cojocaru (University of Guelph), Dr Naveen Vaidya (San Diego State University), Dr Troy Day (Queen's University), Dr Zhilan Feng (National Science Foundation), Dr Jane Heffernan (York University)
Population Dynamics, Ecology & Evolution
Minisymposium

Population models have long been grounded in natural intelligence: the human-driven theoretical frameworks that include nonlinear dynamics, bifurcation theory, PDEs, structured population models, and stochastic processes. These classical approaches remain indispensable for explaining underlying mechanisms, generating deep insight, and ensuring interpretability. In parallel, artificial...

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