View the SLAS Data Science and AI TIG Science Circle for a follow-up virtual discussion building on the momentum from the TIG meeting at the SLAS2026 International Conference in Boston. Hosted by TIG Chair Ian Kerman, NVIDIA this session continues the conversation on the role of AI in scientific writing, posters and peer review for SLAS. The discussion will explore the need for thoughtful, community-driven guidelines and expand the conversation to a broader audience, inviting new ideas on responsible AI use across SLAS posters and presentations. Join the conversation as they work toward practical, balanced principles that support innovation while maintaining scientific integrity.

Until recently, most training in lab automation has been on-the-job, making it relatively inefficient and informal. As the industry has grown, a small number of organizations have begun offering structured programs to provide classroom and laboratory training in lab automation and automated science. Join us for the Automated Science Education TIG Science Circle discussion on September 30, led by TIG Chairs Joshua Kangas and Kennedy McDaniel Bae, as they discuss lab automation standard practices and education in the life sciences. Guest Speakers: Jason Hattrick-Simpers, University of Toronto and Eric Sindelar, Hamilton Company The Automated Science Education TIG fosters collaboration and knowledge sharing to strengthen educational efforts across the community.

The Automated Science Education TIG’s conversation will focus on lab automation standard practices and education in this upcoming TIG Science Circle. TIG Chairs Joshua Kangas and Kennedy McDaniel Bae will lead the discussion alongside guest speakers Kathryn Liles, Director of Customer Success at Automata, and Cameron Kim, Assistant Professor at Duke University.

The Data Science and AI TIG's conversation will focus on the key area of protein function prediction, tackled through the Generalized Experimental Platform for Protein Function Measurements, which streamlines high-throughput, quantitative analysis of diverse protein functions. This innovative platform supports the development of accurate predictive models that advance biology and medicine. Through these initiatives, Align to Innovate accelerates progress and unites the scientific community.

This SLAS Technology Idea Exchange is led by Len Glass, Senior Associate Scientist, FMC Corporation and Christopher Keim, Head Process Automation, Food Brewer. The discussion will cover the three main topics about Agriculture Research and Development work. These topics include BioPharma similarities and differences, the two main Agriculture industry components between pesticides and GMOs, and current trends for the Agriculture industry.