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.
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
Grade history
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Prerequisites
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Professors
Spring 2027No instructors recorded for this selection.
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Calendar & sections
Spring 2027Schedule loads here as you scroll.
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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
No workload feedback recorded.
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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Catalog & offerings
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
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Model & dataset provenance
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"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "6616391b3d89b58ffe62fc8344b9a720c240eaf685897352f5cacce222e3883b",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}