Workshop: Creating a National Network of Cloud and Self-Driving Labs

October 23-25, 2023

about

Federal investments and innovations from academia and industry have brought us to the cusp of a revolution in scientific research, where advances in artificial intelligence and machine learning combined with automated instrumentation can drive automated research workflows. Cloud labs and self-driving labs (SDLs) can allow researchers across the country to do more research through these automated research workflows. A national network of cloud labs and SDLs would help usher in a revolution in lab-based scientific research, moving science to be more efficient, more reproducible, more inclusive, more collaborative and more cost-effective.

Carnegie Mellon University is hosting a workshop convening key stakeholders to address the development, challenges and potential of cloud labs and SDLs. This event will bring together the multidisciplinary expertise from diverse sectors and institutions essential to establishing a national network. Aligned with the Year of Open Science, this workshop will also prioritize strategies for data sharing, reproducibility, advancing education and interdisciplinary research.

Key Highlights

Lowering access barriers to self-driving and automated platforms through technological and community-based solutions, including protocol sharing.

Expanding the scope of education through automated laboratories and employing active learning techniques.

Developing strategies to transfer lab infrastructure and protocols to open access platforms, benefiting the community and future commercialization.

Prioritizing technological infrastructure investments (software, hardware, computing resources, etc.) to support a national network of academic cloud and self-driving labs.

Location

Carnegie Mellon University

Tepper Building
Pittsburgh, PA 15213
Google Map Link

Contact Us

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Organizing committee

Milad Abolhasani

Associate Professor & University Faculty Scholar, North Carolina State University

Stefan Bernhard

Professor, Chemistry, Carnegie Mellon University

T.J. Brunette

Program Director of Cloud Lab Automation and Protein Design

G. Sayeed Choudhury

Associate Dean for Digital Infrastructure and Director of Open Source Programs Office, Carnegie Mellon University

Florent Letronne

Director of the CMU Cloud Lab

Theresa Mayer

Vice President for Research, Professor of Electrical and Computer Engineering & Materials Science and Engineering, Carnegie Mellon University

Juana Mendenhall

Walter E. Massey Professor of the Physical Sciences, Department Chair, Morehouse College

Joshua Schrier

Kim B. and Stephen E. Bepler Chair Professor of Chemistry, Physical Chemistry, Computational Chemistry, Fordham University

This workshop is supported by an award from the TIP Directorate, National Science Foundation under Award No. 2335891.