Animal Behavior Reliability
  • Home
  • About
  • Foundations
    • Proposal
    • Measurements >
      • Definitions
    • Team makeup
    • Training >
      • Features of test subsets
      • Assessment
    • Metrics
  • Diving deeper
    • Iterative training processes >
      • Tasks and techniques
      • Categorical data
      • Continuous data
      • Rare outcomes
    • Timeline
    • Troubleshooting
    • Reporting
  • Checklist
  • Resources

About.

We are faculty at 3 land-grant universities. Contact us if you have questions or feedback about this site. 

Our team

We are faculty who study ethology. We primarily conduct research in the field of animal welfare, and work to understand how human-managed animals perceive and respond to their environments. We have studied a variety of species and used many different techniques. Our perspective on reliability has been guided by our experience and teaching others how to do the same. To learn more about our specific research programs, check out our individual websites by clicking on our photos below.
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Dr. Blair Downey
Animal Behavior and Welfare Lab
University of Tennessee, Knoxville

[email protected]
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Dr. Sarah Adcock 
Animal Welfare Science at UW-Madison (AWSUWM)
University of Wisconsin, Madison

[email protected]
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Dr. Jennifer Van Os
Animal Welfare Science at UW-Madison (AWSUWM)
University of Wisconsin, Madison

[email protected]
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Dr. Carly Moody
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Animal Welfare Epidemiology Lab
University of California, Davis

[email protected]
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Dr. Cassandra Tucker
​​
Tucker Lab
University of California, Davis

[email protected]

Contact

Any questions or comments about this site should be directed to Dr. Downey ([email protected]).

History of this site

We developed this site as a resource for our own labs and for other scientists. These ideas and materials are part of our commitment to rigor, transparency, and reproducibility in our research. 
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  • Home
  • About
  • Foundations
    • Proposal
    • Measurements >
      • Definitions
    • Team makeup
    • Training >
      • Features of test subsets
      • Assessment
    • Metrics
  • Diving deeper
    • Iterative training processes >
      • Tasks and techniques
      • Categorical data
      • Continuous data
      • Rare outcomes
    • Timeline
    • Troubleshooting
    • Reporting
  • Checklist
  • Resources