Seattle Opera Through the Decades is a digital exhibit created for the Seattle Opera Archives by University of Washington MLIS students Sara Reubelt & Rebecca Shaw. This exhibit highlights the significance that opera has played in the community. Our aim is to encourage public engagement with the Archives while placing the history of the Seattle Opera into the cultural and social contexts that shaped it. With the recent opening of the Opera Center, we saw an opportunity to promote materials which were previously inaccessible. We hope that visitors to this exhibit will find it both informative and fun.

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.

SEMANTIC ANALYSIS: The Smartsheet platform has large amounts of unstructured user feedback comments. So, the product owners at Smartsheet take a lot of time and effort to come up with actionable feedback. Our solution is a machine learning model which enables text classification of the comments by categorizing them into the following categories- Bugs/Performance, Formula, UX Integration, and UX Enhancement. The solution makes it easier to prioritize issues, delegate the requests to the concerned Product Owners, reduces the response time to user queries, and enhances the product features. Organization - Smartsheet Team Members - Ishita Shah Prithvi Shetty Vineet Kulkarni

Smartsheet is a cloud-based work management platform. To continuously innovate and improve its product and services, it constantly gauges customer sentiment and feedback via Net Promoter Score surveys. However, due to large inflow of raw comments from these surveys, and no existing mechanism to aggregate the comments other than manual intervention, the useful data is underutilized. Our solution is to apply machine learning techniques to automatically categorize the comments into useful categories. This categorized data is then presented as a dashboard to internal stakeholders to gain deeper insights into Smartsheet features and services.

Special Collections currently houses a large donated collection of Historical Children’s Literature that focuses on Indigenous people, approximately 1500 books. Our project centers on how Natives Americans were depicted between the 1930s and 1970s, how their portrayal has changed over time, and what we as information professionals can do to present this data accurately and responsibly in the current day. We approached this by splitting the scope between public libraries, where possible, and academic libraries/special collections, as each of us has different interests and goals but a common purpose of making these historical materials available.

Sleep deficiency affects over 20% of the estimated 300,000 children with arthritis nationwide. The Sleep Self-Management Intervention for Children with Juvenile Idiopathic Arthritis study at the UW School of Nursing is developing a web-based learning application that will help children be better equipped to improve their sleep quality. The SleepWell skill for Alexa was researched and designed in tandem with this study, for use as a potential tool to provide additional ad-hoc support with sleep. The voice user interface design of SleepWell includes guidance for relaxation techniques, a soothing sound and music library, and tools for developing healthy sleep habits.

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!

Spectrum is a melting pot of different sources and types of news, all on one website. We challenge individuals to read from multiple sources and categories and encourage users to reflect on their personal reading habits. We challenged ourselves to create a place where people can leave with a more well-rounded understanding of current events in the world we live in. In the end, we hope to impact everyone who comes across Spectrum and inspire individuals to be aware of various viewpoints and generate mutual understanding between persons of different perspectives, and opinions.

2 out of 3 fourth graders in Michigan failed to receive proficient scores in reading. Kent District Library (KDL), in response, is developing a new summer reading program called Summer Wonder in 2020, with the goal of helping youth in underserved areas. How do they know if this new program is working? This project’s goal is to start partnerships, create timelines, research, and form a recommendation for a long-term study. The end result of this project will help KDL understand how to improve Summer Wonder, creating a pathway to learning for those facing barriers.