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Evolutionary biologist and software engineer Ben Haller discusses modeling population genetics over time, delving into natural selection sources like resources, mate preferences, and competition. Explore the capabilities of SLiM for diverse evolutionary scenarios, its impact on research, and transitioning from software engineering to evolutionary biology with a focus on modeling multiple species and ecological interactions.
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Quick takeaways
- Modeling evolution goes beyond Hardy-Weinberg Equilibrium, incorporating mate preferences and competition.
- Slim simulation system allows detailed models of genetic evolution with learning capabilities for organisms.
Deep dives
Modeling Evolution with Slim: A Powerful Ecological Simulation System
Slim, a simulation system for ecological purposes, allows researchers to model evolution from a genetic standpoint by customizing simulations using different scripts. It enables customization like modeling the evolution of birds in response to predators while considering mate preferences. Slim's wild customization options make it a powerful tool for evolutionary biologists, offering a similar concept to shiny apps but with more flexibility and depth.
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highlights
Listen to the best highlights from the podcasts you love and dive into the full episode