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 13th 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
“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
“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”,
“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.
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