Dr Scott Kelly
Dr Scott Kelly is a Research Director at UTS and leads the Data Analytics and Modelling Team at the Institute for Sustainable Futures (ISF). His research interests include the economics of energy demand, energy systems modelling and the economics of climate change. Prior to his role at ISF he was Senior Research Associate at the University of Cambridge and a Junior Research Fellow of Darwin College. In 2012 he received his PhD from the University Cambridge in the field of economics, energy and climate change. Other awards include the CT Taylor Scholarship, Cambridge Trusts Scholarship and The Cambridge Econometrics Bursary. He is an author of several book chapters and has published papers in a range of energy journals on the topics of energy systems modelling, energy policy and climate change. He is presently the lead researcher and chief investigator for the energy analysis on the Victoria Healthy Homes Project.
PROFESSIONAL DEVELOPMENT WORKSHOP: How to measure health and energy outcomes.
This workshop will explore the emerging theory of energy epidemiology for understanding the causal pathways between household energy consumptions and efficiency and its end effects on the health and wellbeing of occupants and the wider environmental, social and economic implications for society. Energy epidemiology provides a new lens for studying the variation and causal differences amongst energy consumers and effects on final outcomes. The causal pathway model provides a framework that sets out how putative influencing and interacting factors can inform research design, analysis and the interpretation of results. Implicit in this model is that there are a number of interrelated causal factors that all act (positively or negatively) on a given outcome. Using various statistical approaches such as structural equation modelling or directed acyclic graphs it is possible to determine confounding, mediating and moderating effects on final outcomes. In this workshop introductory concepts to causal modelling will be introduced and participants will get the opportunity to develop their own causal pathway model for household energy consumption.