Episode

Modelling Evolution

Podcast
Data Skeptic
Published
May 9, 2024
Duration seconds
2485
Processing state
failed
Canonical source
https://dataskeptic.com/blog/episodes/2024/modelling-evolution
Audio
https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/modelling-evolution.mp3?dest-id=201630
JSON
/v1/public/podcasts/data-skeptic/episodes/modelling-evolution
Markdown
/podcast/data-skeptic/modelling-evolution.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/modelling-evolution/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/data-skeptic/modelling-evolution.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

Modeling evolutionary processes goes way beyond the Hardy-Weinberg Equilibrium we all learned in biology class. Natural selection comes from many sources like resources availability, mate preferences, competition. Modeling entire populations of organisms of different species is the holy grail of digital evolution. Join our discussion with evolutionary biologist and software engineer Ben Haller to learn about his work on SLiM and how it helps other biologists model population genetics over time.