We designed and implemented a 10-week participatory design STEAM program for teens at Seattle Public Library. The program was held at Rainier Beach branch and eight teens ages 12 to 14 participated. Using KidsTeam UW as a model, we utilized techniques in codesign sessions including paper prototyping, creative narrative, big paper, stickies, and more. Design sessions culminated in participants building robots using Arduino. Data collected included analytical memos, recorded session video, and photographs. Lastly, we coded, analyzed, and synthesized to write design recommendations for Seattle Public Library to inform further iterations of participatory design and Arduino youth programs.

PATH, a global health non-profit organization, has created the SafiStation, a chlorine generator to be used in low-resource health centers as a means of creating life-saving disinfectant. Our capstone team used data from the station to improve the current data dashboard that PATH is using to monitor their dashboards by developing specific user interfaces and visualizations that are individualized for each customer segment. Using the improved dashboard, PATH and their future customers can visualize how their machines are operating as well as the returns on their investments.

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!