CIRSS - Research Areas “Data “Data-driven Digital Humanities Data Analytics

The activities of the iSchool Center for Informatics Research in Science and Scholarship (CIRSS) are aimed at advancing how scientists and scholars work with digital information and new technologies to support the dynamic interplay among information, people, and information systems. Current research and development areas include data curation and data lifecycle management; cyberinfrastructure systems and tools for data science; and knowledge representation and reasoning. Science and application domains are numerous and include biomedical and health informatics, ecoinformatics, geoinformatics, computational archaeology, astronomy, and digital humanities. CIRSS also helps lead the development and management of related pathways in the iSchool MS programs in Library and Information Science and Information Management.

CIRSS - Research Areas

Recent Publications

Jones, M. B., & Ludäscher, B. (2021). CPR-A Comprehensible Provenance Record for Verification Workflows in Whole Tale. In Provenance and Annotation of Data and Processes: 8th and 9th International Provenance and Annotation Workshop, IPAW 2020+ IPAW 2021, Virtual Event, July 19-22, 2021, Proceedings (Vol. 12839, p. 263). Springer Nature. Read more

Parulian, N. N., Li, L., & Ludäscher, B. (2021). or2yw: Modeling and Visualizing OpenRefine Histories as YesWorkflow Diagrams.  iConference 2021 poster.  https://www.ideals.illinois.edu/handle/2142/109699 Read more

Da Silva, R. F., Casanova, H., Chard, K., Coleman, T., Laney, D., Ahn, D., ... & Wozniak, J. (2021). Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. arXiv preprint arXiv:2106.05177. Read more

Parulian N.N., McPhillips T.M., Ludäscher B. (2020) A Model and System for Querying Provenance from Data Cleaning Workflows. In: Glavic B., Braganholo V., Koop D. (eds) Provenance and Annotation of Data and Processes. IPAW 2020, IPAW 2021. Lecture Notes in Computer Science, vol 12839. Springer, Cham. https://doi.org/10.1007/978-3-030-80960-7_11. Read more

Cheng, Y. Y., & Ludäscher, B. (2020). Through the magnifying glass: Exploring aggregations of COVID‐19 datasets by county, state, and taxonomies of US regions. Proceedings of the Association for Information Science and Technology, 57(1), e355. Read more

Blount, T., Chapman, A., Johnson, M., & Ludascher, B. (2021). Observed vs. Possible Provenance (Research Track). In 13th International Workshop on Theory and Practice of Provenance (TaPP 2021). Read more

Cheng, Y. Y., Hoang, K. L., & Ludäscher, B. (2020, November). Cacao, Cocao, or Cocoa?: Reconciliation of Taxonomic Names in Biodiversity Heritage Library. In Knowledge Organization at the Interface (pp. 88-97). Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark.  Ergon-Verlag. Read more

News

August 19, 2021

New CIRSS series to focus on responsible data science and AI

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February 9, 2021

Ludäscher to present keynote at reusable research webinar

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February 21, 2020

iSchool researchers organize provenance workshop in Ireland

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September 24, 2019

iSchool researchers present at ro2019

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Events

Past

CIRSS Seminar

RDS+AI Speaker Series: Teaching Responsible Data Science

Leader(s): Julia Stoyanovich, Institute Associate Professor of Computer Science & Engineering at NYU's Tandon School of Engineering

Friday, October 29, 2021, 9am–10am

CIRSS Seminar

RDS+AI Speaker Series: Acknowledging potential pitfalls in social media research – between researchers' practices and structured documentation approaches

Leader(s): Katrin Weller, information scientist at GESIS - Leibniz Institute for the Social Sciences, Germany

Friday, October 22, 2021, 9am–10am