Research in practice.
My projects bring together research, design, and collaboration to explore how science is communicated, interpreted, and engaged with in real-world settings. Many of these projects are developed in partnership with scientists, artists, students, and community organizations, with the shared goal of creating evidence-based approaches that support meaningful public engagement and reflection.
Ice safety and public perception of climate change risk
This project brings together surveys, social media, community outreach, and data visualization to improve ice safety awareness and decision-making across the Great Lakes.
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Indigenous art, knowledge, and conservation communication
This project raises public awareness of the Emerald Ash Borer crisis by centering Indigenous basket weaving and community-based public art.
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Seeing science again: AI-generated image and science credibility
This project combines computational content analysis and experiments to examine how AI-generated images shape perceptions of credibility.
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Visual risk communication in a changing climate
This project brings together surveys, social media, community outreach, and data visualization to improve ice safety awareness and decision-making across the Great Lakes.
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Visual risk communication in a changing climate
This project brings together surveys, social media, community outreach, and data visualization to improve ice safety awareness and decision-making across the Great Lakes.
Read more
Indigenous art, knowledge, and conservation communication
This project raises public awareness of the Emerald Ash Borer crisis by centering Indigenous basket weaving and community-based public art.
Read more
Indigenous art, knowledge, and conservation communication
This project raises public awareness of the Emerald Ash Borer crisis by centering Indigenous basket weaving and community-based public art.
Read more
Seeing science again: AI-generated image and science credibility
This project combines computational content analysis and experiments to examine how AI-generated images shape perceptions of credibility.
Read more
Seeing science again: AI-generated image and science credibility
This project combines computational content analysis and experiments to examine how AI-generated images shape perceptions of credibility.
