iSchool Capstone

2020

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Postcomet

Age Friendly Seattle's Civic Coffee Hour has been an essential informational event for Seattle's older adult population, especially among immigrants and refugees, for the past decade. Now Civic Coffee Hour must expand to Seattle community centers, but participants still need to be able to participate in a live, online Q&A event. We created Postcomet, a solution that integrates SMS into YouTube Live broadcasts, allowing users to participate in the event regardless of their viewing location. This allows people to connect to live events & live speakers though technologies they already understand: YouTube and text messaging.
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Privasee

It is no doubt that employees are the powerhouse of our companies. However, employee negligence and human error are some of the main causes of data breaches. This costs nearly $4 million on average for a business in the U.S., posing great security and financial risks. PrivaSee is a platform where security professionals can easily identify the exploitable employee public data and take action to mitigate the risks right away. This allows our clients to fully focus on their business objectives while they continue providing necessary resources for the employees.
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Project Detox

Among gamers playing the top 15 games, roughly 70% have experienced online abuse. Project Detox is empowering the Gaming Safety team at Microsoft so that they can provide a safe environment to their customers worldwide. We are implementing an automated testing framework for their toxicity classifiers. After measuring model performances against each other and on different kinds of data, we have generated beautiful and intuitive reports which would enable the stakeholders to make data-driven decisions. All of this has been packaged into pipelines which would automate the process and eliminate manual work.
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Promoting Information Literacy Through Indexing

This project involved cataloging a 10,000-document collection of newly digitized, multilingual Law Library of Congress treaties and international agreements. The collection was classified by metadata elements in a master spreadsheet. To ensure users’ ability to fulfill collocating and finding bibliographic objectives, LCSH and indexer-derived keywords were appended to each record. Inconsistencies between records were resolved using OpenRefine and blog posts containing trend graphs and search tips were constructed to promote the collection. When published online, this content will encourage information literacy by helping the organization’s increasingly networked stakeholders navigate and interact with this content for the first time.
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PROSPER with Scalar: Promoting Reliable Open Source Platforms as Educational Resources

To address the information needs of the UW Libraries’ Digital Scholarship Leadership Team, we developed materials that analyze, assess, and provide training on Scalar, an open-source authoring and publishing platform. Through research and examination, we wrote a literature review that compared Scalar to similar publishing platforms, evaluated its accessibility, and examined its potential as an open digital scholarship platform. Additionally, we crafted learning resources and facilitated an interactive online workshop to assist librarians in identifying and promoting Scalar’s features and use cases for future students, faculty, and the broader research community.
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Pseudo-crypto currencies and their implications

With the rapid transformation to the digital age, one sector that has changed the least is the banking and financial sector. After the creating of the first cryptocurrency, there has been an eager push to use this technology to benefit humanity by creating new technologies that harness the power of a decentralized system. Every new technology is a double-edged sword. It can be used to benefit people as well as suppress them if used incorrectly. There have been efforts by organizations as well as countries to use cryptocurrency to collect personal data and evade sanctions.
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PUSHSPRING Marketplace Search

Our marketplace search recommender system is a web app that users can use to explore the apps related to a persona or a given mobile app based on PushSpring's local user data rather than average result such as the ones Google gives. Our system was implemented with both CNN and NLP to maximize diversity and relevancy in recommendations. Combining benefits from both content-based and user-based recommendation models, our model produces valuable insights that can't be found elsewhere.
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Queer Air

The KRAB FM Lesbian-Feminist Radio Program was originally broadcast through the 1970s and 1980s in Seattle and was one of the earliest American gay and lesbian radio shows in the United States. This capstone creates an opportunity to engage with and explore local historical archival material in a different and more accessible way while also highlighting materials in special collections. The project aids in exploration and discovery opportunities while utilizing a format that is easily accessible in the current technological age. This project allows the discoverability of, and for, the Seattle Queer Community.
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Queering ILL

This project seeks to investigate how interlibrary loan (ILL) serves the queer community. Results indicate that many libraries are marketing their ILL services to patrons. Privacy issues occurred rarely. A large portion of the queer community gets their queer material from the library. This community appears to both know about and use ILL services. Reasons queer participants gave for not using the service range from privacy issues to not knowing how to utilize the service. ILL departments can better serve the queer community through targeting them in its advertising, creating inclusive policies, focusing on privacy, and looking into eBook lending.
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RAIN Impact Data Assessment

The Readiness Acceleration and Innovation Network (RAIN), a biotechnology incubator, wondered whether they effectively collect data about their educational programming. They were concerned with effectively measuring their impact, as well as issues around underrepresented groups in the sciences. This project included in-depth background research, a data collection audit, analysis of organizational artifacts, and stakeholder interviews to make recommendations for their data collection and curation practices. Best practices were presented to collect demographic data about underrepresented groups and to make RAIN events more welcoming.