Presentation Titles:

• Automating analyses of public views on biodiversity with digital media
• Tools and methods for the responsible use of LLMs in evidence synthesis 
• LLMs in Conservation Decision-Making
• NLP-Assisted Public Comment Review in Environmental Rulemaking
• Censusing the impacts of avoided forest conversion evidence with GPT models

Speakers:

• Amrita Gupta, Ph.D., is an Applied Research Scientist II at Microsoft AI for Good, developing machine learning alongside practitioners to solve challenges in biodiversity conservation and sustainability.
• Max Callaghan, Ph.D., is a researcher at the Potsdam Institute for Climate Impact Research investigating the intersection of climate and health, alongside climate impacts and mitigation policies.
• Cassie Buhler, Ph.D., is an ESIIL postdoc focused on leveraging AI for conservation decision-support tools.
• Brian Erickson, Ph.D., is a Smith Conservation Research Postdoctoral Fellow applying NLP, behavioral science, and social psychology to improve conservation and natural resource management strategies. 
• Charlotte Chang, Ph.D., is an Assistant Professor focused on applying NLP and large language models to evaluate human-environment interaction data.

In-person location: SEEC S372 (Viz Studio)

Zoom option available.