Data science and AI have become common topics in life sciences at an exponential rate. A decade ago, companies were infrequently knowledgeable about the applications for these technologies, whereas today we see large organizations focusing on data digitization strategies, small organizations with hugely aspirational computational goals, and even some drug discovery companies launching with a computational science platform as their primary differentiator. The conversation has decidedly shifted from "what if" to "when", and the competition is fierce - both to set your organization apart and to get the right expertise to wield the technology. This track will focus on how data science helps organize and make sense of life science data, and in return, how companies and groups can best support data science teams through literacy goals and pipelines for growth and hiring. Emphasis will be placed on stories from groups that leverage data science and AI in new and novel ways to both show successes and lessons for others to learn from, and to bring up new moonshot ideas that help our field continue to grow and nurture itself.
Sessions include
- The Degrees and Cultures of Data Science and AI
- Unexpected Ways Data Science and AI Make an Impact
- Where Data Science and AI Meet the Complexities of Life Science
Access SLAS Discovery Data Science and AI Pre-Reads
Access SLAS Technology Data Science and AI Pre-Reads
If you are interested in this track, you may also be interested in the following online content in APPLIED:
Or, check out these related episodes of New Matter: Inside the Minds of SLAS Scientists:
Chemistry with Artificial Intelligence: Del Ray Jackson, Ph.D. and Rick Sidler, Ph.D. (Unchained Labs)
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AI Automation Explosion: Various
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You can also learn more about our new short course, Lab of the Future.