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Compulsory programme

Programme of the one-week course:

Day 1

Day 1 before lunch (Søren Østergaard, AU)

  • Introduction to the course
  • PhD students introduce their PhD project plan and outline elements of economics of livestock health and welfare
  • Introduction to economics of livestock health and welfare
    • History of economics of animal health and welfare
    • Consumers and citizen willingness to pay (WTP) for animal health and welfare
    • Livestock production economics and basic theory of economics of controlling livestock diseases and welfare problems

Day 1 after lunch (Anne Braad Kudahl, AU)

  • Tools to draft a strategy for a livestock farm with focus on animal health and welfare, carbon footprint, biosecurity and workload
  • Preparation for farm visit on day 2

 

Day 2

 Day 2 before lunch (Søren Østergaard, AU)

  • Basic methods and tools applied in AHE
    • Gross margin analyses
    • Enterprise budgets
    • Partial budgeting
    • Marginal costs and benefits
    • Investment analysis
    • Cost-benefit analyses
    • Decision trees
    • Optimization approaches
    • Simulation techniques

Day 2 after lunch (Anne Braad Kudahl, AU)

  • Farm visit where we asses a dairy farmer’s decision-making in relation to livestock health, welfare and carbon footprint

 

Day 3

Day 3 before lunch (Mogens Agerbo Krogh, AU) 

  • From epidemiological studies to economic analyses
  • Implication of study design and statistical analyses when retrieving parameters for your economic  analyses of animal health and welfare
  • Introduction of herd cases to be used for subsequent simulation modelling

Day 3 after lunch (Peter Thorup Thomsen, AU)

  • Example of aggregation of biological scientific evidence as input to economic analyses
  • Case: cow mortality, risk factors and prevention strategies

 

Day 4

Day 4 before lunch (Jonathan Rushton, University of Liverpool)

  • The role of AHE in development of public regulation of the livestock production

Day 4 after lunch (Søren Østergaard, AU & Anne Braad Kudahl, AU)

  • Working with outline of students' individual report

 

Day 5

Day 5 before lunch (Vivi Mørkøre Thorup, AU)

  • Using Big Data and Machine learning techniques to monitor the status of the animal and the herd
  • Assessment of value of information from precision livestock farming techniques
  • Exercises

Day 5 after lunch (Jehan Frans Ettema, SimHerd A/S)

  • Herd simulation modelling as a tool in economics of animal health and welfare
  • Presentation of the SimHerd dairy cattle herd simulation model
  • Using various types of herd data as input for analyzing alternative management strategies
  • SimHerd exercises
    • After this lecture you will be able to use SimHerd on your own in your projects.

Programme of a two-day follow-up course: Presentation and discussion of course assignments