Feb 11, 8:00 – 9:00 PM (UTC)
TechSoup Connect Western Canada Chapter
Join us to learn how your organization can use AI and Machine Learning for research and program delivery.
Discover how nonprofits like Stand.earth use AI and machine learning to streamline research, saving time and money while driving innovation. This webinar covers structuring data, leveraging LLMs, and crafting precision-focused metrics to uncover impactful insights— using a case study from their work using AI to empower organizations to protect biodiversity and Indigenous rights.
The two biggest restrictions on great research are time and money. By using large language models to structure policy and financial data from disparate sources, Stand.earth created time and cost efficiencies that allow their issue-area experts to do innovative research.
For example, their report ‘Greenwashing the Amazon’ mapped the coverage of environmental and social policy commitments by major international banks, revealing that most banks’ policies fall well short of protecting biodiversity and Indigenous rights as claimed, while their continued financing of fossil fuel expansion in the Amazon drives major adverse impacts for people and nature.
With machine learning, the data needed to conduct these complex analyses can be gathered and kept current faster, so researchers can keep holding banks accountable for their role in fueling Amazon destruction.
Join us to learn how your organization can use AI and Machine Learning for research and program delivery.
Angeline Robertson is an award-winning researcher with the Stand.earth Research Group. She is dedicated to environmental and social justice, and utilizing investigative research to reveal issues related to the climate crisis, deforestation, unsustainable consumption, and human and Indigenous rights violations. Her investigations utilize a wide variety of data sources and methodologies, allowing her to create innovative analyses that drive impactful civil society campaigns.
Before working with Stand, Angeline ran dozens of special investigations into supply chain fraud and illegal logging for environmental and social sustainability certification systems around the world. Angeline is a forest ecologist by training and has worked as a Research Scientist with the University of British Columbia, focusing on indigenous values as a framework for sustainable forest management. She has also worked as a policy analyst and as a program manager, tasked with creating innovative policy solutions that support the stewardship practices of forest-based communities. Angeline lives in Sechelt, B.C. with her husband and two children. She loves to garden, forage, cook food, play music, and be on the ocean.
Stand.earth
Senior Investigative Researcher
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