Guiding by the philosophy of “putting people first,” BECU cares deeply about their members. Thus, resolving high-impact incidents as quickly as possible to ensure a seamless member experience is crucial. BECU IT Incident Management Portal is a one-stop online portal that provides end-to-end management of High and Critical technology incidents. It collects important information from multiple incident management and troubleshooting tools and displays the right information to help IT and non-IT employees triage, action, communicate and collaborate. Our solution empowers employees at BECU to handle critical incidents promptly and painlessly, increasing productivity and business competitiveness, and ultimately improving member satisfaction.

This project focused on moving Douglas County Libraries away from solely using circulation outputs as the means of understanding their collection's success. Using interviews, surveys, and research on existing scholarship, the project provided the library system with new ways of thinking about collections and their success in meeting the needs of the library's community. Recommendations provided by the project focused on gathering qualitative data from the library's users to understand and evaluate why users interact with library collections and how collections facilitate or do not facilitate positive change in the lives of patrons.

What does library access look like for incarcerated youth? There have been few studies on this subject. What we do know is that there is no legal entitlement to library resources for detained youth. This means incarcerated youth have no right to independent legal information, independent sexual health information and even recreational materials. Because Juvenile Justice Systems differ from state to state, the best way to access this information gap is to look at each state individually. The State of Utah served as a pilot study to find the best way to research this area of library science.

Disparities in Internet access among residents of the whole nation have been a serious problem in the States for decades. Unfortunately, even though there is public broadband data available, it’s hard to make sense of it. This project focuses on utilizing millions of records of broadband and census data to better serve communities across the United State. We created two new measurements for broadband deployment performance and built interactive dashboards and infographics to visualize the huge volume of data. Want to explore the broadband data in your area? Find out at https://fayechu.github.io/NTIA_Data_Visualization/frontend/index.html

This project developed a new capital planning strategy for Hennepin County Library. HCL previously planned building projects for its 41 libraries based on a time-schedule, which proved to be too prescriptive and did not account for varying building use and impact. This new capital framework uses a data-driven approach to determine capital improvement projects. Weighing three sets of data—community disparities, library usage, and asset condition—this holistic approach allows HCL to plan building projects in a more proactive, equitable, and sustainable way.

Students studying lighting design have limited opportunities to publish their work in an academic setting. Very few institutions publish theatrical design documentation as they are not considered student research in the traditional sense. This project sought to showcase how Institutional Repositories are a perfect solution for this publishing gap. The results included the publication of the design process work of an undergraduate student for three separate productions. Furthermore, Boise State University's Institutional Repository is now better equipped to support student research in the Arts & Humanities, allowing them to diversify their collections.

The hardworking board members and volunteers of the Washington National Guard Museum have dedicated themselves to collecting, preserving, and displaying the rich history of Washington State’s brave military personnel. By continuing initial cataloging efforts of the Museum’s vast photographic collection, and beginning to make the entire collection available through an online database, our team helped further the Museum’s mission to instruct, inspire and educate all citizens. This project ensures the Museum’s goal of becoming an essential research library will soon become a reality.

Children’s collection development and programming is implemented by adults based on librarians’ knowledge of what children might need. Libraries are missing direct input from elementary-aged children regarding books and programming. Our Capstone team created a research-based framework to implement Children’s Advisory Boards (CABs) in libraries. In a CAB, a group of children advises the library on collection development and programming. Using best practices that emerged during our eight test CABs, we created a toolkit for our sponsor, the Collaborative Summer Library Program. Librarians nationwide can use this toolkit to invite children’s voices into their libraries.

Our capstone project aims at applying advanced machine learning techniques to identify advertisement traffic from the cellular network traffic. The idea behind classifying advertising traffic is relevant in today’s business era where digital marketing has become the predominant medium to increase outreach and connect directly with customers. Our team developed a novel approach to label & predict this advertisement traffic (accuracy ~97%), thereby paving the way for further research into identifying and blocking malicious/spam advertisements. The relevant activities we performed included getting data from network captures, data pre-processing, feature extraction, ad-labeling, applying ML algorithms and evaluating model performance.

The digitization of art images has created new opportunities for artists, researchers, and students to explore visual arts. However, many digital art libraries are difficult to navigate. This is because they lack metadata to describe their images, which makes finding images based on their content hard. We applied computer vision techniques to a dataset of art images to create an art recommendation system.