Files and links

Slides (pptx)

Responsible Operations: Data Science, Machine Learning, and AI in Libraries (report and recommendations)
Institutional Stakeholders in Research Support (an effort being lead by OCLC Research)

Presenters

Thomas Padilla, Practitioner Researcher in Residence, OCLC

Description

Since early 2019, Thomas Padilla has been serving as a Practitioner Researcher in Residence at OCLC Research. In this capacity, he led an effort to develop a community research agenda that charts a path for engagement with data science, machine learning, and artificial intelligence (AI). The OCLC Research Postition Paper Responsible Operations: Data Science, Machine Learning, and AI in Libraries is the result and will be published in December 2019. Responsible Operations was developed in partnership with an advisory group and a landscape group March 2019 through September 2019. Suggested areas of community investigation present interdependent technical, organizational, and social challenges. This session will describe the process of developing the agenda and an overview of suggested areas of community investigation.

Works in Progress: An OCLC Research Occasional Webinar Series

These webinars are exclusively for OCLC Research Library Partners, but the recordings are publicly available to all.

Works in Progress: An OCLC Research Occasional Webinar Series to talk about work happening in OCLC Research – we'd like to present our work informally and get feedback from you, our Partners. We'd also like this to be a venue for Partner institutions. What are you working on that everyone should know about? What input would help you move forward? Let us know!