Richard Marciano
Professor
marciano@umd.edu301-314-0281
4111F Hornbake Bldg, South Wing
Availability to Accept New PhD Students
This faculty member is NOT currently accepting Ph.D. studentsBIO
Dr. Richard Marciano is the recipient of the 2017 Emmett Leahy Award for “outstanding accomplishments that have had a major impact on the records and information management profession.” Throughout his career, Dr. Marciano has worked in highly interdisciplinary and collaborative environments at the intersection of technology, information, and records management. He has focused on blending disciplines (computer science, archives, and information management) to produce new ways of understanding the past. He was the founder and director of the UMD Digital Curation Innovation Center (DCIC) from 2015 to 2020.
In 2020, Dr. Marciano founded the multi-institutional Advanced Information Collaboratory (AIC) research group and remains actively involved today as a member. The AIC is an international research network (with partners from North America, South America, Europe, Africa, Asia, and Australia) which explores the opportunities and challenges of disruptive technologies for archives and records management (including CAS – Computational Archival Science, AI, ML, Digital Curation, etc.), while promoting ethical information access and use.
Research & Focus Areas
- Archival Science
- Data Science, Analytics, and Visualization
- Digital Humanities
- Information Justice, Human Rights, and Technology Ethics
- Library and Information Science
- Machine Learning, AI, Computational Linguistics, and Information Retrieval
Research Projects
- Additive Manufacturing Digital Curation and Data Management
- Computational Thinking to Unlock the Japanese American WWII Camp Experience
- Computational Treatments to re-member the Legacy of Slavery (CT-LoS)
- Harnessing Generative AI to Support Exploration and Discovery in Library and Archival Collection
- Launching the TALENT Network to Promote the Training of Archival & Library Educators w. iNnovative Technologies
- Machine Learning Strategies for FDR Presidential Library Collections (ML-FDR)
- Measuring the Impact of Urban Renewal
- Testbed for the Redlining Archives of California’s Exclusionary Spaces (T-RACES)
- DAM-Developing a Digital Asset Management System for the Archival Holdings of the Mary McLeod Bethune Council House National Historic Site
- Developing a Computational Framework for Library and Archival Education
- Developing a Digital Asset Management System for the Archival Holdings of the Mary McLeod Bethune Council House National Historic Site
- Improving Fedora 4 to Work with Web-Scale Storage and Services
- IRCN-CAS: International Research Collaboration in Computational Archival Science
- Mapping Inequality — Redlining in New Deal America
- Piloting an Online National Collaborative Network for Integrating Computational Thinking into Library and Archival Education and Practice
- WIN: a Window Into Neuroregulation