Green Hill School is a juvenile rehabilitation center serving young men. The library receives limited funding and struggles to maintain a current and relevant collection. Books serve as a valuable tool for emotional regulation, self-awareness, academic and personal growth, and pleasure. Access to books that meet their interests is crucial to the success of the residents. We utilized social media to crowdsource monetary donations and direct purchases from a curated wishlist. Eighty-seven percent of our wishlist was purchased, and we raised $2,160 in monetary donations. This will ensure a thorough library collection for current and future residents.
The Brigantine Yankee Catalog Project aims to catalog and embed metadata for photographs documenting the sixth sailing voyage of the Brigantine Yankee through the Pacific Islands. The photographs had been digitized but were not cataloged at the Burke Museum, making them inaccessible. By cataloging the photographs, our team was able to increase this collection’s accessibility not only for the museum staff but also, more importantly, for Pacific Islander communities. These communities feature prominently in the images but their identities and cultures were not always documented properly; providing access and inviting input from them will lead to more accurate and respectful representation.
Mental health problems are prevalent among college students and can have negative implications on productivity and social relationships. To address this, we sought to design a product that would help college students achieve a routine of healthier habits to improve their well-being. Habits influence health and quality of life, and gamification promotes motivation and engagement — combining the two, we built buddy. Our platform, buddy, lets users set personalized goals, practice self-reflection, and earn rewards as they track their progress over time. We hope buddy helps people develop better routines, and in turn, improve their overall well-being.
Sno-isle Libraries, which serves Snohomish and Island counties in Washington state, has seen a dramatic increase in the number of patrons who are struggling with homelessness due to the Covid-19 pandemic. To address the needs of this vulnerable population, I have compiled a community asset map by identifying local nonprofits, government agencies, shelters, McKinney-Vento Liaisons, social workers, and public schools that work with individuals and families struggling with homelessness. This document will be distributed to all managers and librarians within the Sno-isle Libraries system and will be used for future outreach to create a stronger, better social safety net.
Japanese seed beads are identified by the color code assigned to each product. Three primary manufacturers assign their own alphanumeric codes, while a wholesaler combined all three identification systems into a new system. This creates confusion among consumers because these systems are not well understood and are not yet cross-referenced. My ontology is the foundation of a knowledge base that will aid in more accurate identification of colors between manufacturer numbers and the corresponding product in the wholesaler’s system. This resource will facilitate accurate color-matching and increase awareness of the variety of seed beads available.
The Geology Library Database was created for students, staff, and volunteers in the UW Burke Museum Geology and Paleontology Department to facilitate library resource discovery. The database was created in FilemakerPro and utilized linked data to allow for easy browsing. It also makes use of its own controlled vocabulary and fully documented schema. As part of its creation, over 250 records were entered to test its capabilities. Once it is fully populated, the database will increase ease of access to materials for the volunteers who do not have the same level of access to UW Libraries as their paid colleagues.
Doctors and parents in clinical trials face significant difficulties in tracking babies’ cries. The current method, handwritten crying logs, is inaccurate and offers little insight for clinical personnel. This project aims to use machine learning algorithms to more accurately identify and track cries. Hours of crying data were gathered and transformed into t-Distributed Stochastic Neighbor Embedding, Support Vector Machine, and k-Nearest Neighbor algorithms, visually grouping audio clips by sound similarity. An audio debugger determines the accuracy of the groupings. With continued training and testing, the algorithms will be able to engage binary classification of cries.
St. Mark’s Cathedral has limited record management and archives. Many important records, documents, and artifacts have been kept in boxes located in storage rooms and employee offices. I assessed Cathedral records and completed an in-depth finding aid on the archive and its contents. The resulting finding aid will provide a framework for future students or other archivists on where the project has left off and possible next steps. St. Mark’s stakeholders will have an accessible, easy-to-navigate aid of what contents are in the archive and the future work needed to complete the archive.
Celebrating Black Faculty and Student Scholarship: A Framework for UW Libraries Programming and Outreach
The University of Washington Libraries' vision is to become an inclusive and equitable organization. Through our capstone, we highlight the historical, political, and cultural aspects of Black experiences and envision the impact of showcasing student and community research in library spaces. Through interviews and in partnership with the Research Commons, the Open Scholarship Commons, and the Assessment and Planning department, our project frames how to implement programming and outreach inspired by the voices of UW’s Black community. We present four recommendations to UW Libraries addressing space, community engagement, and the power of listening to and affirming Black perspectives and experiences.
Washington State legislative assistants are overwhelmed by constituent inquiries and face challenges responding in a timely and thorough manner. Through extensive user research and competitive analysis, Civic QA has built an efficient and comprehensive third-party communication tool to manage constituent relations. We leverage machine learning to effectively categorize correspondence and help legislative assistants quickly respond to pressing issues, while enabling staff to track constituent engagement over time. By supplying engagement reports, daily trends, and filtered topics, staff have greater insight into the needs of constituents to drive better policy responses.