2023 Keynote Speakers Nominations
Nominations for Keynote speakers for the Code4Lib 2023 Conference are now being accepted. The conference will take place March 15-17, 2023 at Princeton University.
Nominations will close at midnight on November 29, 2022.
When making a nomination, please consider whether the nominee is likely to be an excellent contributor in each of the following areas:
1) Appropriateness. Is this speaker likely to convey information that is useful to many members of our community?
2) Uniqueness. Is this speaker likely to cover themes that may not commonly appear in the rest of the program?
3) Contribution to diversity. Will this person bring something rare, notable, or unique to our community, through unusual experience or background?
Please include a description and any relevant links. Please try to keep the list in alphabetical order.
We require the following information in your nomination for a candidate to act as keynote:
- Speaker’s full name
- Brief description of individual (250-word max)
- Pertinent links (Maximum of 3)
- Contact information for candidate (email address)
The Keynote Committee will attempt to contact all nominees and will only include on the ballot those who consent to be nominated.
If you would prefer to submit a nomination anonymously, please send your nominee(s) to Tyler Wade at tw8766@princeton.edu tw8766@princeton.edu.
Please follow the formatting guidelines:
== Nominee's Name == Description of no more than 250 words. [[Link(s) with contact information for nominee]] [mailto:email_link.foo nominee's email address]
Ceilyn Boyd
Ceilyn Boyd is the Manager of the Harvard Library Research Data Management Program and a Ph.D. student in the Simmons LIS program. Previously, they have been a software engineer, project manager, and analyst at a variety of technical organizations, including NASA's Jet Propulsion Laboratory. Their expertise includes artificial analysis and data visualization. Their PhD research involves theorizing data as assemblage, which concerns the forms and meanings of data, as well as the conditions of its production for both data workers and dataset subjects.
Dr. Siobahn Day Grady
Dr. Siobahn Grady is an Assistant Professor of Library and Information Sciences and the director of the Laboratory for Artificial Intelligence and Equity Research (LAIER[1]) at North Carolina Central University, the only ALA-Accredited Library School at an HBCU (Historically Black College or University). Dr. Grady's research is focused on using machine learning to identify sources of misinformation on social media, and on improving fault detection in autonomous vehicles. Dr. Grady is an IF/THEN Ambassador for the American Association for the Advancement of Science, a program which seeks to bring more women and minorities into hard sciences, technology, engineering and mathematics. Dr. Grady was the first woman to graduate with a computer science Ph.D. from N.C. A&T State University, and through her teaching, research, philanthropy and public speaking she is a passionate supporter of HBCUs and the students they serve. Code4Lib would benefit from learning about her work at LAIER and about her vision for minority girls' and women's futures in technology fields.
More Information about Dr. Grady Can be found at her website[2].
Ben Schmidt
Ben Schmidt is Vice President of Information Design at Nomic, where he is working on new interfaces for interpreting and visualizing large-scale data in the browser. Previously he was a professor of history and digital humanities, where his research focused on large-scale text analysis, humanities data visualization, and the challenges and opportunities of reading data itself as a historical source. His project, Creating Data, explores practices of data collection in the 19th century American state through archival research, visualization, and re-analysis of historical data. Library data sources, such as Hathi Trust and the Library of Congress, have featured prominently in his work.
Jane Doe (example)
Jane works at ________, doing _______.
Some pertinent history/biography/hyperlinks that illustrates why Jane would be a good keynote speaker.
