Software & Services for Data Science (SSDS) Overview
Join Stanford Libraries’ Evan Muzzall and Kate Barron for an overview of the consultation services available through the Software & Services for Data Science (SSDS), within the Stanford Libraries.
Moderated by: Regina Roberts, Stanford Libraries.
This talk will provide an overview of SSDS services to support your computational research needs. We help you get onboarded to research data collections and essential tools such as R and Python in the context of basic research workflows. We also offer one-to-one consultation support for when you get stuck. We will also discuss the Text Analysis and Machine Learning group, which is an informal space for you to familiarize yourself with these topics. Learn more at https://ssds.stanford.edu/.
Evan is a social data scientist and digital humanist with experience in pedagogy and curriculum development, instruction, instructor coaching, consultation, mentoring and professional development, and collaborative interdisciplinary research projects. He supports the computational research pursuits of students, librarians, faculty, and staff using a variety of pedagogical and methodological resources that emphasize critical thinking and data skills.
His formal training is in forensic anthropology and bioarchaeology. His research interests span functional biomechanics, mortuary archeology, microbiology, teaching computational text analysis in digital humanities contexts, machine learning applications to bioarchaeology and international conflict, the science of science, deep learning, and natural language processing and computational text analysis.
He earned his PhD from Southern Illinois University Carbondale Department of Anthropology in 2015. Before joining Stanford, he was the Instructional Services Lead at the UC Berkeley D-Lab.
As a research data curator in the Center for Interdisciplinary Digital Research (CIDR), Kate helps preserve and document data that the library has acquired. Her goal is to ensure that the library’s data collections are discoverable and reusable by the university community. Kate also advises faculty, staff and students about data management best practices. Kate earned her Master of Science in Information from the University of Michigan. Before joining Stanford, she was the Data Services Librarian at San José State University.
This talk is part of the Stanford Libraries events for Gear Up for Social Science Data 2022.