These can be magnified by computational treatments of archives.” Lyneise Williams** (AIC Co-Founder and Associate Professor of Art History at UNC Chapel Hill) who has joined the FARM Initiative adds that: “It is crucial to advocate for culturally-responsible archival practices that address the significant erasures in visual, material, and historical representation disproportionately affecting communities of color. William Underwood* (AIC Co-Founder and UMD iSchool Research Scientist).ĭr. “The future of archives and records management is under development now - through graduate education that includes computational thinking and through applied research that includes natural language processing and machine learning methods,” states Dr.
The AIC’s new FARM Initiative leverages advances in Computational Archival Science (CAS) through a previously funded IMLS grant on mapping Computational Thinking to Archival Science. PURSUING multidisciplinary collaborations to share relevant knowledge across domains.PROMOTING ethical information access and use.TRAINING current and future generations of information professionals to think computationally and rapidly adapt new technologies to meet their increasingly large and complex workloads.LEVERAGING the latest technologies to unlock the hidden information in massive stores of records.EXPLORING the opportunities and challenges of “disruptive technologies” for archives and records management (Artificial Intelligence ( AI), Machine Learning ( ML), Computational Archival Science ( CAS), etc.).2020 with partners from leading academic and cultural institutions spanning five continents, has an emphasis on: The AIC is proud to launch a new AI / ML / CAS Initiative which will explore the Future of Archives and Records Management (FARM) through recently funded “seed” Grants and Collaborations. PROMOTE ethical information access and use.įuture of Archives and Records Management (FARM).TRAIN current and future generations of information professionals to think computationally and rapidly adapt new technologies to meet their increasingly large and complex workloads.PURSUE multidisciplinary collaborations to share relevant knowledge across domains.LEVERAGE the latest technologies to unlock the hidden information in massive stores of records.EXPLORE the opportunities and challenges of "disruptive technologies" for archives and records management (digital curation, machine learning, AI, etc.).
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