This lecture covers the use of Hidden Markov Models to model latent animal movement and behavior in population abundance surveys, integrating paths and estimating animal behavior from movement data.
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Delves into the Swiss legal framework for animal experimentation, covering constitutional provisions, ethical evaluation, 3Rs principles, licensing procedures, roles and responsibilities, and global challenges.
Introduces Hidden Markov Models, explaining the basic problems and algorithms like Forward-Backward, Viterbi, and Baum-Welch, with a focus on Expectation-Maximization.
Explores public attitudes, ethical perspectives, regulatory frameworks, activism, types of animals for research, welfare, rights, and the abolition vs. regulation debate in animal research.
