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How is technology changing the practice of environmental risk management?
Join us in this online fireside chat where our experts and industry professionals delve into how emerging technologies such as artificial intelligence, big data analytics, and remote sensing are changing the ways in which environmental risks are assessed, communicated, monitored, and mitigated.
The webinar will take the format of a fireside chat where speakers have a conversation and discuss the intersection between technologies and environmental communication and management. We will also up the discussion to questions via Zoom to participants.
Please register your interest to attend and we will reach out with the webinar Zoom call link.
About the Speakers
Marla Orenstein
Marla Orenstein recently finished a six-year tenure as Director of Resources, Environment and Economy at the Canada West Foundation, a public policy think tank based in Calgary, Canada. In this role, she focused on using policy to maximise sustainability and prosperity as the world transitions to cleaner forms of energy.
Marla is an Ambassador for the Energy Futures Lab, and Advisor on Government Relations for Avatar Innovations. She founded and for 12 years led Habitat Health Impact Consulting, where she worked closely with governments, industry, international agencies, Indigenous groups and communities on the risks and impacts of resource and infrastructure development projects around the world.
Matthew O’Brien
Matthew O’Brien is an environmental scientist and founder of AI for Enviros, specialising in applying AI tools to improve environmental risk management and project decision-making. With over 20 years’ experience across environmental consulting and infrastructure projects, he focuses on bridging practical science with emerging technologies in the environment space.
Jenna Yeager
Jenna is a retired natural resource specialist with an extensive background in in GIS, remote sensing, and data/analytics. She enjoyed her role in advising Bureau of Land Management/Forest Service executive management at the national level from 2002 – 2019, often serving as a ‘translator’ to explain technical information in layman’s terms. Her current project is creating an instructional guide to de-mystify analytics/AI for federal sector field managers and to demonstrate how the technology can be leveraged to meet agency mission needs.
Gianmarco Mengaldo
Dr Mengaldo joined the Department of Mechanical Engineering at National University of Singapore (Singapore) in 2020, as an Assistant Professor. He is also an Honorary Research Fellow at Imperial College London (United Kingdom).
Dr Mengaldo’s adopts an interdisciplinary approach integrating mathematical engineering and computational science to study complex systems that arise in in engineering and applied science. His current research interests involve (i) the development of data-mining technologies for the systematic identification of coherent patterns in highly unstructured datasets, (ii) the development of high-fidelity simulations tools for multi-physics problems, and (iii) the use of machine learning and statistical tools to predict the behaviour of complex systems.
Dr Mengaldo’s main application areas include aerospace and mechanical engineering, weather and climate, solid earth physics, healthcare, and finance.