CIRSS researchers to present at American Geophysical Union (AGU) Fall Meeting

Carole Palmer
Carole Palmer, Professor Emeritus

CIRSS researchers will make a strong showing as they share their expertise in scientific data curation at this week’s 46th annual Fall Meeting of the American Geophysical Union (AGU). The meeting, scheduled for December 9-13 in San Francisco, California, is the largest worldwide conference in the geophysical sciences, gathering more than 24,000 earth and space scientists, educators, students, and other leaders.

Representing CIRSS at this year’s AGU conference are Carole Palmer, GSLIS professor and director of CIRSS, and GSLIS PhD students Karen Baker and Andrea Thomer. Palmer and Baker have been invited to give presentations on earth and space science informatics. Palmer’s talk, part of the Data Curation, Credibility, Preservation Implementation, and Data Rescue to Enable Multi-source Science session, will present research from the CIRSS project Site-Based Data Curation at Yellowstone National Park (SBDC). Baker will present her research into data management issues and strategies originating from within long-term research communities, as part of the meeting’s session on Data Stewardship in Theory and in Practice.

For detailed information about the following presentations and posters scheduled for the conference, visit the CIRSS website.

Presentations

Advancing Site-Based Data Curation for Geobiology: The Yellowstone Exemplar
Invited presentation by C. L. Palmer

C. L. Palmer, B. W. Fouke, A. Rodman, G. S. Choudhury

Enabling Long-Term Earth Science Research: Changing Data Practices
Invited presentation by K. S. Baker

K. S. Baker

Posters

Two-Stream Model: Toward Data Production for Sharing Field Science Data
Presented by K. S. Baker

K. S. Baker, C. L. Palmer, A. K. Thomer, K. Wickett, T. DiLauro, A. E. Asangba, B. W. Fouke, G. S. Choudhury

How Workflow Documentation Facilitates Curation Planning
Presented by A. K. Thomer

A. K. Thomer, K. Wickett, K. S. Baker, T. DiLauro, A. E. Asangba

Research Problems in Data Curation: Outcomes from the Data Curation Education in Research Centers Program
Presented by C. L. Palmer

C. L. Palmer, M. S. Mayernik, N. Weber, K. S. Baker, K. Kelly, M. R. Marlino, C. A. Thompson

Outcomes of the Data Curation for Geobiology at Yellowstone National Park Workshop
Presented by A. K. Thomer

A. K. Thomer, C. L. Palmer, B. W. Fouke, A. Rodman, G. S. Choudhury, K. S. Baker, A. E. Asangba, K. Wickett, T. DiLauro, V. Varvel

Research Areas:
Updated on
Backto the news archive

Related News

Get to Know Deekshita Karingula, MSIM Student

After graduation, Deekshita Karingula would like to build data pipelines, automate workflows for greater efficiency, and use data to transform healthcare. She views the MSIM program as the "ideal way" to connect her computer science and technical skills with data management skills, helping her reach her goals.

Deekshita Karingula

Hoiem receives Schiller Prize for “Education of Things”

Associate Professor Elizabeth Hoiem has won the 2025 Justin G. Schiller Prize from The Bibliographical Society of America for her book, The Education of Things: Mechanical Literacy in British Children's Literature, 1762-1860 (University of Massachusetts Press). The prize, which recognizes the best bibliographical work on pre-1951 children's literature, includes a cash award of $3,000 and a year's membership in the Society. 

Elizabeth Hoiem

Chan authors new book connecting eugenics and Big Tech

Associate Professor Anita Say Chan has authored a new book that identifies how the eugenics movement foreshadows the predatory data tactics used in today's tech industry. Her book, Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future, was released this month by the University of California Press and featured in the news outlets San Francisco Chronicle and Mother Jones.

Anita Say Chan

Wang group to present at BigData 2024

Members of Associate Professor Dong Wang's research group, the Social Sensing and Intelligence Lab, will present their research at the 2024 IEEE International Conference on Big Data (BigData 2024), which will be held from December 15-18 in Washington, D.C. BigData 2024 is the premier venue to present and discuss progress in research, development, standards, and applications of topics in artificial intelligence, machine learning and big data analytics.

Dong Wang