by Jane Kelly
In December 2017, the IEEE Big Data conference came to Boston, and with it came the second annual computational archival science workshop! Workshop participants were generous enough to come share their work with the local library and archives community during a one-day public unconference held at the Harvard Law School. After some sessions from Harvard librarians that touched on how they use computational methods to explore archival collections, the unconference continued with lightning talks from CAS workshop participants and discussions about what participants need to learn to engage with computational archival science in the future.
So, what is computational archival science? It is defined by CAS scholars as:
“An interdisciplinary field concerned with the application of computational methods and resources to large-scale records/archives processing, analysis, storage, long-term preservation, and access, with aim of improving efficiency, productivity and precision in support of appraisal, arrangement and description, preservation and access decisions, and engaging and undertaking research with archival material.”
Lightning round (and they really did strike like a dozen 90-second bolts of lightning, I promise!) talks from CAS workshop participants ranged from computational curation of digitized records to blockchain to topic modeling for born-digital collections. Following a voting session, participants broke into two rounds of large group discussions to dig deeper into lightning round topics. These discussions considered natural language processing, computational curation of cultural heritage archives, blockchain, and computational finding aids. Slides from lightning round presenters and community notes can be found on the CAS Unconference website.
What did we learn? (What questions do we have now?)
Beyond learning a bit about specific projects that leverage computational methods to explore archival material, we discussed some of the challenges that archivists may bump up against when they want to engage with this work. More questions were raised than answered, but the questions can help us build a solid foundation for future study.
First, and for some of us in attendance perhaps the most important point, is the need to familiarize ourselves with computational methods. Do we have the specific technical knowledge to understand what it really means to say we want to use topic modeling to describe digital records? If not, how can we build our skills with community support? Are our electronic records suitable for computational processes? How might these issues change the way we need to conceptualize or approach appraisal, processing, and access to electronic records?
Many conversations repeatedly turned to issues of bias, privacy, and ethical issues. How do our biases shape the tools we build and use? What skills do we need to develop in order to recognize and dismantle biases in technology?
What do we need?
The unconference was intended to provide a space to bring more voices into conversations about computational methods in archives and, more specifically, to connect those currently engaged in CAS with other library and archives practitioners. At the end of the day, we worked together to compile a list of things that we felt many of us would need to learn in order to engage with CAS.
These needs include lists of methodologies and existing tools, canonical data and/or open datasets to use in testing such tools, a robust community of practice, postmortem analysis of current/existing projects, and much more. Building a community of practice and skill development for folks without strong programming skills was identified as both particularly important and especially challenging.
Be sure to check out some of the lightning round slides and community notes to learn more about CAS as a field as well as specific projects!
Interested in connecting with the CAS community? Join the CAS Google Group at: firstname.lastname@example.org!
The Harvard CAS unconference was planned and administered by Ceilyn Boyd, Jane Kelly, and Jessica Farrell of Harvard Library, with help from Richard Marciano and Bill Underwood from the Digital Curation Innovation Center (DCIC) at the University of Maryland’s iSchool. Many thanks to all the organizers, presenters, and participants!
Jane Kelly is the Historical & Special Collections Assistant at the Harvard Law School Library. She will complete her MSLIS from the iSchool at the University of Illinois, Urbana-Champaign in December 2018.