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iSchool Capstone

2019

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Lakewood High School Library Genrefication Project

Lakewood High School students reported browsing for fiction books in the library, as well as searching for fiction books in the library’s online catalog, to be cumbersome. Library staff planned to genrefy the fiction collection to address this issue. However, their full workloads left them unable to start on the project. Our team, then, carried out this genrefication. We assigned genre classifications and added genre labels to the roughly 3,000 books in the fiction collection. We also updated those books’ catalog records to reflect proper subject headings and keywords. Now, users can more efficiently browse and search this collection.
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NAGPRA Disposition and Review Request Index

We worked with the National Park’s NAGRPA staff to index specific issues, tribes, or institutions within the Review Committee minutes. The project created a thesaurus introduction and tagged institutions that update the Review Committee, as well as provided the reason (i.e. request for disposition, request for finding of fact/dispute, presentation, or public/written comment). Our project enables NAGPRA staff to search the minutes for specific issues they encounter regularly, and provides them a more comprehensive view of current needs. It will thus enable visibility of indigenous issues and make them more accessible, transparent, and useful to NAGPRA.
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NeatMeet: Conduct meetings like a CEO

“Conduct meetings like a CEO.” Many people find meetings a waste of time. The challenge is to enable people to have more effective meetings, while not drastically changing their current behavior for conducting meetings. NeatMeet solves that need. NeatMeet is a free and account-less meeting platform that enables users to collaborate and seamlessly structure meetings. There are three main features: simple agenda sharing, real-time collaboration, and auto-generated summaries. NeatMeet ultimately provides users with quick, easy access to best-meeting practices, so they can conduct better meetings today.
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Ontologies of Environmental Collapse

An essay bringing to light several of the histories involving various Library Systems’ and Information Technologies’ specific sites. Through stories and questions, I demonstrate an approach to the epistemologies and ontologies I would like to encourage in Information Sciences. While detailing some recent developments in cataloging systems, this essay approaches philosophical questions regarding colonization and environmentalism. My intention is to present possibilities for further opening discussions.
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Perceptia

Students in all walks of life want to ensure they get the most out of studying. Often, the availability of study materials is limited by the time investment required of instructional designers and the students themselves. Perceptia is an automated tool that uses content analysis, NLP and knowledge graphs to create study materials based on user-provided texts, multimedia content, links to websites or a search phrase. Students can complete generated assessments to identify topics they need to spend more time studying and track progress towards mastery of topics.
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Preservation of the Warren G. Magnuson Audio/Visual Collection

Warren G. Magnuson served as United States Congressman for Washington state from 1937-1981. An alum of the University of Washington, Magnuson gifted his collection of audio/visual materials in 1981 to Special Collections. This project required inventorying, assessing, and creating access to the original audio/visual collection, which consists of 171 films and 324 audio items. Initial preservation actions in the 1980s created hard copy finding aids, masters and user copies totaling in 1,274 physical items. Our work created access to all through a digital finding aid and detailed research to assist in grant drafting for future digitization efforts.
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Prisons and Policing Public Records Management

Increasingly, public access to civil lawsuits against law enforcement agencies has been restricted from federal to local levels. Through the use of public record requests, the Human Rights Defense Center has collected over 8000 civil cases from seven different states. Their goal: to create a publicly accessible and empirically analyzable database of civil lawsuits against law enforcement agencies all across the country. Our team has built the underlying structure for this larger project, developing a Descriptive Metadata Schema, Controlled Vocabulary and Claim Type, Controlled Vocabulary and Dictionary for Document Type, and Standard Operating Procedures for court record ingest and documentation.
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Rhetorical Implications of Classification Systems

Commonly used classification systems often leave librarians and users in want of better way to organize their collections. Outdated language and irrelevant hierarchical structures privilege the access and dissemination of certain knowledges - a known problem in the world of Knowledge Organization. This research explores why classification systems should be considered an extension of an institution’s voice, and how these systems impact user experience in such spaces. Understanding classification systems as rhetorical devices can help librarians and users fully understand and intentionally use these tools to cultivate truly inclusive and equitable environments.
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Seattle Public Schools Task Management

This application directly promotes the integrity of incident reporting metrics within the Department of Technology Services at Seattle Public Schools. Departmental resources such as providing professional training, supporting district-wide projects, balancing IT worker’s assignments, and more, rely heavily on these metrics to strategically and effectively execute within the organization. By providing an application separate from the currently misused incident system, these metrics will no longer be skewed. This ultimately affects classroom technology and its influence on student learning, where our project makes a positive impact for the teachers today as well as the students in current and future generations.
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SmartInvest: Sentiment Driven Insights using NLP

It is a nightmare for fundamental securities analysts and portfolio managers to leaf through lengthy corporate filings and call transcripts to gain insights on which stock to invest in. Our project automates this process using NLP tools and generates sentiment/credibility index. These indexes are used to create an all-inclusive dashboard that displays a company’s performance, its overall ranking, ranking within its industry, current trends in the market and popular buzzwords in different industries. The portfolio managers can then use the dashboard to make smarter investment decisions. Do you also wanna make your investments more profitable? Try SmartInvest!