Surveys flatten reasoning.
Two people give the same answer for completely different reasons. Surveys average that away. I needed to see the reasons — how charter captains, anglers, managers, and scientists actually thought about shark depredation.
Get Causality grew out of running causal-mapping workshops by hand and needing a faster way to collect and analyse people's reasoning.
Evan Prasky. Army veteran and Ph.D. student in Environmental Conservation at UMass Amherst.
I'm an Army Veteran and Ph.D. student at UMass Amherst studying environmental conservation with a focus on complex socio-ecological interactions. My research investigates human–wildlife conflicts in aquatic ecosystems, particularly depredation, where a predator partially or wholly consumes an angler's catch in the process of landing.
I've led multiple causal-mapping workshops with recreational anglers, fisheries managers, and scientists across the U.S. My work has been published in peer-reviewed journals and presented at the World Fisheries Congress.
Two workshops, three years, months of hand-transcription per study. The platform is what I needed and didn't have.
Two workshops with 43 stakeholders took months of hand transcription before any analysis could start. The platform automates that work.
Two people give the same answer for completely different reasons. Surveys average that away. I needed to see the reasons — how charter captains, anglers, managers, and scientists actually thought about shark depredation.
Gulf Shores in 2022. Seattle in 2024. Every workshop ran on facilitator teams, travel budgets, and hand-coded models. Most of the timeline went to processing, not analysis.
Survey design, response collection, group comparisons and figures in a single platform, so the hand-transcription step goes away.
Survey the same people again next year, or add a new group, and compare the cohorts directly, with every method cited along the way.
Publications and stakeholder workshops in the Gulf of Mexico and the Pacific Northwest.
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