Spring 2027

Study Abroad: International Field Study in Animal Biodiversity

International field study providing hands-on experience in genetics and animal biodiversity as a study abroad equivalency.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

What you’ll be able to do

  • Identify biodiversity-rich areas and analyze the challenges they face due to fragmentation, climate change, and invasive species.

  • Evaluate scientific methods used in biodiversity preservation, including ecosystem preservation, restoration, and species reintroduction.

  • Collaborate in teams to assess regional animal phylogenetic biodiversity and its relevance to bio-banking strategies.

  • Describe local cultural and socioeconomic needs and analyze their implications for balancing ecosystem preservation efforts.

Source: UW Guide

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Prerequisites

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GENETICS 528

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Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

A study abroad equivalency for a hands-on experience in genetics and animal biodiversity that does not equate to a UW-Madison course. Requires current enrollment in a UW-Madison sponsored study abroad program.

difficulty & workload

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Topics

  • Biodiversity-rich areas, fragmentation, climate change, and invasive species
  • Biodiversity preservation, ecosystem preservation, restoration, and species reintroduction
  • Animal phylogenetic biodiversity and bio-banking strategies
  • Cultural and socioeconomic needs in ecosystem preservation

Skills

  • Identifying biodiversity-rich areas and analyzing challenges from fragmentation, climate change, and invasive species
  • Evaluating scientific methods for biodiversity preservation, ecosystem restoration, and species reintroduction
  • Assessing regional animal phylogenetic biodiversity and bio-banking strategies in team collaboration
  • Analyzing cultural and socioeconomic implications for balancing ecosystem preservation

Grades

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Sources & history

UW–Madison

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Model & dataset provenance
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  "observed_at": "2026-10-14 17:50:09.728220+00:00"
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