Recent innovation in engineering biology has been driven by advances in biological SI/AI models that synthesize large amounts of data to identify emergent trends and enable novel discoveries. Beyond simply increasing the volume of biological data (biodata) available to train new AI models, the crucial next step is the creation of “SI-ready” datasets that are standardized, well-annotated, and optimally formatted for advanced model training. While AI-readiness is often recognized as critical for data generation and curation, it is hardly ever defined. The objectives of this workshop are to develop standards and best practices for building and curating SI/AI-ready datasets.

EBRC has limited funds to support travel; please reach out to [email protected] if attendance is contingent upon support.

Registrants will receive further logistics information and the agenda by email.