07-10, 18:30–19:25 (US/Pacific), Room 318
AI, particularly generative AI, is rapidly transforming the scientific landscape, offering unprecedented opportunities and novel challenges across all stages of research. This Birds of a Feather session aims to bring together researchers, developers, and practitioners to share experiences, discuss best practices, and explore the evolving role of AI in science.
Informed by a brief presentation on outputs from a recent participatory design workshop led by UW's Scientific Software Engineering Center, which is housed within the eScience Institute, we will foster a discussion around how AI is being applied throughout the research lifecycle, including:
- Research Conception and Execution: From AI-driven literature reviews and hypothesis generation to optimizing research infrastructure, streamlining data collection, automating metadata generation, and even generating synthetic data.
- Data Analysis and Interpretation: Leveraging AI for complex data interpretation, pattern recognition, and advanced visualization.
- Research Dissemination: Exploring AI's assistance in drafting manuscripts, navigating peer review, and communicating findings for broader societal impact.
- Research Funding and Evaluation: Discussing AI tools for grant proposal development, collaboration identification, and engaging with feedback to measure research impact.
Furthermore, the floor will be open to share insights on how AI is uniquely advancing specific fields and domains, such as materials science, climate modeling, and drug discovery.
Join us to discuss current successes, identify common pain points, address ethical considerations, and envision the future of AI-augmented science. This BoF is for anyone interested in leveraging or understanding AI's impact on scientific discovery, implementation, publication, and beyond. AI for science is actively being built. It is critical that researchers and open source advocates are leading the charge.
Inessa is building bridges between people, open science, and open source software. She is passionate about making Python accessible for learners at all levels and has led numerous newcomer sprints, study groups, and tutorials. Inessa currently serves on the NumPy Steering Council and PyOpenSci Advisory Board. In her role as Open Source Program Manager at OpenTeams, Inessa has launched and actively supports several educational initiatives focused on widening the open source contributor pipeline. She is perpetually fascinated by incentive design, collaborative intelligence, and jazz.
