Register for our Free Webinar
Webinar: Using supply chain data for good: How clever methodologies can expose social and environmental impacts caused by our everyday consumption choices.
Location: Via Zoom Link (registration required)
Date: Thursday 14th October 2021
Time: 12:00pm – 1:00pm AEDT (2:00pm-3:00pm NZDT)
Our lifestyles are supported by complex, global supply chains which extract, connect, and transform nature’s outputs into products and services. Our consumption of these products and services can contribute to a range of environmental and social problems, often in locations far removed from the point of consumption.
This webinar will explore how we can leverage supply chain data to understand the connections between our consumption patterns and their impacts. After an overview of one methodology which unlocks the power of this data, we’ll look at some research findings which will challenge us to consider the environmental and social impacts of our everyday consumption choices.
Sylvia Howes – Host, Data4Good
Amanda Irwin – “How clever methodologies can expose social and environmental impacts caused by our everyday consumption choices”
Looking at supply chains and the data we have available to us to understand them, exploring how input-output methodology allows us to connect the supply chain data to environmental and social impacts, and sharing some results from recent research which help us understand the impact of our consumption patterns.
A chance for the audience to ask questions
University of Sydney
Amanda is a PhD student at the University of Sydney, researching the impact of global consumption on biodiversity loss. She returned to university studies after more than 25 years in the corporate world to follow her passion for nature conservation. Her research utilises input-output methodology to connect supply chain data to the detailed species information curated in IUCN’s Red List of Threatened Species, allowing the identification of the locations and economic sectors which drive species’ extinction risk.
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