2020:

“Developing a Framework to Enable Collaboration in Computational Archival Science Education”, R. Marciano, G. Jansen, and W. Underwood (2020). Proceedings of Society of American Archives (SAA) Research Forum, Jul. 2019, Austin TX. Link: https://www2.archivists.org/sites/all/files/Research_Forum%20_2019_Marciano_final.pdf

2019:

“Computational Thinking in Archival Science Research and Education”, W. Underwood and Richard Marciano (2019). In Proceedings of IEEE Big Data Conference 2019, CAS Workshop, Los Angeles CA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Underwood-2019.pdf
“Reframing Digital Curation Practices through a Computational Thinking Framework”, R. Marciano et al. (2019). In Proceedings of IEEE Big Data Conference 2019, CAS Workshop, Los Angeles CA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/ReframingDC-UsingCT_final-2019.pdf
“What Computational Archival Science Can Learn from Art History and Material Culture Studies”, L. Williams (2019). In Proceedings of IEEE Big Data Conference 2019, CAS Workshop, Los Angeles CA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Williams-2019.pdf
“Digital Legacies on Paper: Reading Punchcards with Computer Vision”, G. Jansen (2019). In Proceedings of IEEE Big Data Conference 2019, CAS Workshop, Los Angeles CA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Jansen-2019.pdf
“Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories”, G. Jansen, A. Coburn, A. Soroka, and Richard Marciano (2019). In Proceedings of IEEE Big Data Conference 2019, CAS Workshop, Los Angeles CA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Jansen-Marciano-2019.pdf
Gregory Jansen, Aaron Coburn, Adam Soroka, Will Thomas, Richard Marciano, Will Thomas, “DRAS-TIC Fedora: Evenly Distributing the Past”, Invited for submission to a Special Journal Issues “Selected Papers from Open Repositories 2018”, July 4, 2019 at MDPI Open Access. See: https://www.mdpi.com/2304-6775/7/3/50 and https://www.mdpi.com/journal/publications/special_issues/OR2018.
Will Thomas, Benjamin Galewsky, Sandeep Puthanveetil Satheesan, Gregory Jansen, Richard Marciano, Shannon Bradley, Jong Lee, Luigi Marini, Kenton McHenry, “Petabytes in Practice: Working with Collections as Data at Scale”, Journal of Data and Information Management, Volume 3: Issue 1, March 19, 2019. See: https://content.sciendo.com/view/journals/dim/3/1/article-p18.xml
Underwood, R. Marciano, and S. Laib, “Auto-Redaction Pilot, RG210 Records of the War Relocation Authority: Technical Report”, Mar. 7, 2018.
“Establishing an International Computational Network for Librarians and Archivists”, iConference 2019 Blue Sky Papers series, Richard Marciano, Victoria Lemieux, Mark Hedges, Yoichi Tomiura, Katuu Shadrack, Jane Greenberg, William Underwood, Katrina Fenlon, Adam Kriesberg, Mary Kendig, Greg Jansen, Phil Piety, David Weintrop, Michael Kurtz. See: http://hdl.handle.net/2142/103139, IDEALS Institutional Repository.

2018:

Richard Marciano, Gregory Jansen, Will Thomas, Sohan Shah, Michael Kurtz, “Building Open-Source Digital Curation Services and Repositories at Scale”, International Journal of Digital Curation (IJDC), Vol. 13 No. 1 (2018), pp.170-182, Dec. 27, 2018, http://www.ijdc.net/article/view/621/523 (presented at 13^th International Digital Curation Conference (IDCC2018), Feb. 2018, Barcelona, Spain.
“Introducing Computational Thinking into Archival Science Education”, W. Underwood, D. Weintrop, M. Kurtz, and R. Marciano. (2018). Proceedings of IEEE Big Data Conference 2018, CAS Workshop, Seattle, Washington, pp.2761-2765. Link: https://ai-collaboratory.net/wp-content/uploads/2020/03/1.Underwood.pdf
“Automating the Detection of Personally Identifiable Information (PII) in Japanese-American WWII Incarceration Camp Records.”, R. Marciano, W. Underwood, M. Hannae, C. Mullane, A. Singh and Z. Tethong. (2018) Proceedings of IEEE Big Data Conference 2018, CAS Workshop, Seattle, Washington, pp.2725-2732. Link: https://ai-collaboratory.net/wp-content/uploads/2020/03/2.Marciano.pdf
“A Case Study in Creating Transparency in Using Cultural Big Data: The Legacy of Slavery Project”, R. Cox et al. (2018) Proceedings of IEEE Big Data Conference 2018, CAS Workshop, Seattle, Washington. Link: https://ai-collaboratory.net/wp-content/uploads/2020/03/12.Cox_-2.pdf
“Digital Curation of a World War II Japanese-American Incarceration Camp Collection: Implications for Sociotechnical Archival Systems”, R. Marciano, M. Lee, W. Underwood, S. Laib, Z. Diker, and A. Singh (2018). DigitalHeritage2018, San Francisco, Oct. 27, 2018 (part of the Digital Solutions for Heritage Archives & Collections session). Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/DigitalHERITAGE_2018_paper_220.pdf
Foundational Paper on Computational Archival Science (CAS): Apr. 2018
- “Archival records and training in the Age of Big Data”, Marciano, R., Lemieux, V., Hedges, M., Esteva, M., Underwood, W., Kurtz, M. & Conrad, M. (2018). In J. Percell , L. C. Sarin , P. T. Jaeger , J. C. Bertot (Eds.), Re-Envisioning the MLS: Perspectives on the Future of Library and Information Science Education (Advances in Librarianship, Volume 44B, pp.179-199). Emerald Publishing Limited. Link: https://ai-collaboratory.net/wp-content/uploads/2020/10/Marciano-et-al-Archival-Records-and-Training-in-the-Age-of-Big-Data-final.pdf
“Museums, Archives, and Universities–Structuring Future Connections with Big Data”, J. Milosch, M. Kurtz, G. Jansen, A. Hull, and R. Marciano (2018). In Giovanni Schiuma and Daniela Carlucci (Eds.), Big Data in the Arts and Humanities: Theory and Practice, CRC Press, May 8, 2018, Routledge Taylor and Francis Group, Chapter 13, pp.159-172. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Big_Data_in_the_Arts_and_Humanities_Theory_and_Practice-Ch.13.pdf
“Mapping Inequality: ‘Big Data’ Meets Social History in the Story of Redlining,” N.D.B. Connolly, L. Winling, R. K. Nelson, and R. Marciano, In Ian Gregory, Don Debats, and Don Lafreniere (Eds.), The Routledge Companion to Spatial History, Chapter 23, pp.502-524. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/redlining_book_chapter2.pdf

2017:

“Computational Curation of a Digitized Record Series of WWII Japanese-American Internment”, W. Underwood, R. Marciano, S. Laib, et al. (2017). In Proceedings of IEEE Big Data Conference 2017, 2nd CAS Workshop, Boston, MA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Underwood-CAS-2017.pdf
“Heuristics for Assessing Computational Archival Science (CAS) Research: The Case of the Human Face of Big Data Project”, M. Lee, Y. Zhang, S. Chen, E. Spencer, J. Dela Cruz, H. Hong, and R. Marciano (2017). In Proceedings of IEEE Big Data Conference 2017, 2nd CAS Workshop, Boston, MA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Lee-CAS-2017.pdf
“Towards Automated Quality Curation of Video Collections from a Realistic Perspective”,
University of Texas at Austin,Todd Goodall, Maria Esteva, Sandra Sweat, and Alan C. Bovik. In Proceedings of IEEE Big Data Conference 2017, 2nd CAS Workshop, Boston, MA. Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/Goodall-2017.pdf
Chapter in Future Archives, Victoria Lemieux
“Evaluating the Use of Blockchain in Land Transactions: An Archival Science Perspective,” in European Property Law Journal (Dec. 2017), pp.1-49, Victoria Lemieux. Link: doi.org/10.1515/eplj-2017-0019
“Digital Curation of a World War II Japanese-American Incarceration Camp Collection: Implications for Sociotechnical Archival Systems”, Richard Marciano, Myeong Lee, William Underwood, Sandra Laib, Zeynep Diker, and Aakanksha Singh, DigitalHeritage2018, San Francisco, Oct. 27, 2018 (part of the Digital Solutions for Heritage Archives & Collections session).
Satheesan, J. Alameda, S. Bradley, M. Dietze, B. Galewskey, G. Jansen, R. Kooper, P. Kumar, J. Lee, R. Marciano, L. Marini, B. Minsker, C. Navarro, A. Schmidt, M. Slavenas, W. Sullivan, B. Zhang, Y. Zhao, I. Zharnitsky, K. McHenry, “Brown Dog: Making the Digital World a Better Place, a Few Files at a Time”, PEARC 18 (Practice & Experience in Advanced Research Computing), Jul. 23, 2018, Pittsburgh PA.
Association of Canadian Archivists 2017 Annual Meeting: Jun. 9, 2017
- “Disrupting Archival Education [making a case for Computational Science”, Victoria Lemieux, Ottawa CA.
Jansen, R. Marciano, and Will Thomas, “DRAS-TIC Fedora: Evenly Distributing the Past,” Open Repositories Conference, June 6, 2018, in Bozeman MT.
“Modeling archival problems in Computational Archival Science (CAS)”, May 16, 2017 – Maria Esteva
Link: https://saaers.wordpress.com/2017/05/16/modeling-archival-problems-in-computational-archival-science-cas/
SAA Electronic Records Section (ERS) Blog: July 27, 2016 & May 16, 2017
- “Building a ‘Computational Archival Science’ Community”, Jul. 27, 2016, Richard Marciano
  Link: https://saaers.wordpress.com/2016/07/27/building-a-computational-archival-science-community/
The Signal, Library of Congress: April 14, 2017
- “The Reality of Preparing MLS Students for a Competitive and Increasingly Digital World”, Guest blog post by MLIS graduate, Mary Kendig
- Link: https://blogs.loc.gov/thesignal/2017/04/identity-crisis-the-reality-of-preparing-mls-students-for-a-competitive-and-increasingly-digital-world/
- Main points:
  - Need to encourage students to enroll into technology intensive courses and programs.
  - Need to develop projects for students to gain digital skills and hands-on experience.
  - Need to develop collaborations with institutions to provide beneficial learning environments for students.
Lee, M., Chen, S., Zhang, Y., Spencer, E., and Marciano, R.^,“Toward Identifying Values and Tensions in Designing a Historically-Sensitive Data Platform: A Case-Study on Urban Renewal”, Lecture Notes in Computer Science (LNCS), presented at the iConference 2018 Conference, in Sheffield UK, Mar. 28, 2018.
National Forum Position Paper: Mar. 3, 2017
- “On the Computational Turn in Archives & Libraries and the Notions of Levels of Computational Services”, Invited talk and position paper
- Link: https://ai-collaboratory.net/wp-content/uploads/2020/04/AlwaysAlreadyComputationalPositionStatement.pdf
  At the UC Santa Barbara IMLS workshop on “Always Already Computational: Library Collections as Data”, the goals of which are to: (1) articulate computationally amenable library collection use cases, (2) initiate a collection of best practices that support developing, describing, and providing access to computationally amenable library collections.

2016:

Digital Preservation 2016, Milwaukee, WI: Nov. 10, 2016
- “Designing Scalable Cyberinfrastructure for Metadata Extraction in Billion-Object Archives”, Talk & paper
iPres 2016 (13th International Conference on Digital Preservation), Bern, SWI: Oct. 4, 2016
- “Designing Scalable Cyberinfrastructure for Metadata Extraction in Billion-Record Archives”, Talk & paper
Archiving 2016, Washington D.C.: Apr. 21, 2016
- “Revealing Hidden Archival Patterns”, Talk & paper