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Mixing Artificial Intelligence and Social Science Methods: Quantifying Stakeholder Perceptions and Vulnerabilities to Climate Change


Anthropogenic greenhouse gas (GHG) concentrations are rising and, according to the Intergovernmental Panel on Climate Change (2007) it is probable that this rise is responsible for the increase in global temperature over the past fifty years. Vulnerability to temperature rise has different implications in different areas as levels of exposure, sensitivity and adaptive capacity vary. However, there appears to be a consistent lack of action from stakeholders in response to temperature rise despite their k nowledge of this occurring (and projections that it will continue). Adaptation and mitigation to climate change, climate variability and extreme events consists of a very broad range of responses, all of which will have different political implications. A.I. CLIMATE will address this issue, and create baselines for further exploration through a network of internationally renowned scientists from Norway, Sweden, Canada, Australia and the USA participating in a three-day workshop in Norway, one of which o bjectives is to comment and critique on the mix of methodologies from several disciplines and establish new and improved methodological and theoretical baselines for future studies. The methodological mix brings in data from marine chemistry (climatic and non-climatic stressors), Political Science (systems thinking and Baysian Belief Networks), Engineering/Modelling (iPad compatibility programming), Economics (Trade off analysis) and Computer Science (Artificial Intelligence and Opinion Mining). A.I. CL IMATE concentrates on exploring the perceived and real effects of climatic and non-climatic stressors on fishing communities in Norway specifically, and on select recreational and commercial fisheries in Australia, and will use internationally renowned sc ientists in a workshop setting to aid in the determination of the specific locations that will be critical to explore in more detail in a future project.

Project leader: Rachel Tiller

Started: 2013

Ends: 2014

Category: Universiteter

Sector: UoH-sektor

Budget: 2e+05


Address: Trondheim