​Ph.D. Project: Artificial intelligence to support climate change adaptation measures in the livestock sector (funded, $30,000 annually for 4 years)

Artificial intelligence (AI) can be harnessed to develop predictive models of potential climate change impacts and mitigation/adaption measures in a variety of application contexts. In this four year, funded Ph.D. project, predictive analytic models will be developed to estimate the probable range of morbidity, mortality, productivity, resource/environmental, economic, and animal welfare impacts associated with extreme heat events for each livestock species in British Columbia, Canada, under current climate change projections, and to assess the potential benefits/trade-offs associated with scenarios for heat stress risk monitoring and mitigation technology implementation. This information will then be used in combination with the stakeholder values data to rank the technologies and scenarios using a multi-criteria decision-making (MCDA) framework. Project outputs will include a Ph.D. dissertation, presentation of results at poultry industry association professional meetings, conference presentations, and submission of study results for publication in peer-reviewed venues

​This project will begin in September 2022.