Workshops are an integral part of the DSI’s strategic vision. Aimed at establishing new research trajectories and collaborations among the multidisciplinary data science community—primarily contacts from industry, academia, and other national labs—our workshops have evolved in both format and focus. We invite you to peruse agendas, presentations, and recordings (when available) from our past events.
2021: AI in Healthcare
Held virtually over three consecutive Thursdays in early spring, this workshop focused on AI applications and possibilities in healthcare. Panelists and speakers included LLNL staff as well as academic and clinical professionals.
March 11: Electronic Health Records – This session discussed recent developments, challenges, and opportunities in data science for EHRs.
March 18: Actionable AI – This session surveyed recent applications of actionable and interpretable AI techniques to healthcare problems and discussed current challenges and opportunities to further integrate machine learning models into medical practice and decision-making.
March 25: COVID-19 – This session discussed and identified potential use of AI technologies to facilitate rapid response to the coronavirus pandemic.
2019: Co-sponsored with the University of California System
More than 200 participants gathered at Garré Winery in Livermore for two days in July. UC Santa Cruz professor Abel Rodriguez gave the keynote address on ethical challenges in data science, including considerations of privacy, confidentiality, data collection, and informed consent.
The event continued with nine technical sessions. Moderators introduced their research areas before speakers presented, and the sessions concluded with a question-and-answer period that spilled over into birds-of-a-feather discussions between sessions.
2018: Co-sponsored with the University of California System
The DSI’s inaugural workshop took place over two days in August at Garré Winery in Livermore. Welcome addresses were given by UC’s vice president for national laboratories and LLNL’s associate directors for Computing and Engineering. The event included presentations grouped into 12 technical topics as well as a poster session.
Student interns from the Data Science Summer Institute joined the workshop, with many submitting posters summarizing their summer projects. Altogether, nearly 50 posters detailed analysis and prediction techniques for scenarios as disparate as tracking gaseous chemical plumes, detecting magnetic anomalies, optimizing nanoprinted structures, controlling autonomous vehicles, and evaluating congressional voting records.
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