Cybersecurity is a field that has seen an incredible amount of growth in the last decade. PenSec is an educational platform for students and small businesses looking to expand their knowledge within cybersecurity, more specifically within penetration testing. While most people are aware of the implications a weak cybersecurity infrastructure can have, they are unaware of where to begin. Through PenSec, we aim to allow people to gain an insight into penetration testing and provide them with resources to further their interest in cybersecurity.

Data.wa.gov is a digital catalog of open data and consists of a collection of data sets and visualizations uploaded by independent authors. These assets have nearly 1,200 tags applied to them as user input is uncontrolled, leading to numerous duplicates and variants that have reduced the effectiveness of the tags as a whole. We created a tag protocol that consists of defined rules and edge cases along with a dashboard and future recommendations. This solution provides structure to their tag list, and increases data quality, searchability of assets, and sustainability, by reducing tag maintenance and preserving tag effectiveness.

ChatDWG provides a unique opportunity for learners to engage with the cutting-edge artificial intelligence (AI) technology of ChatGPT. Through an educational game and collection of resources, learners can explore the capabilities and limitations of this technology in order to gain a deeper appreciation for its ability to shape the future of communication. This web app is consequently a powerful tool for anyone seeking to integrate AI technology into their lives alongside the challenges and opportunities of the 21st century.

Low-income populations often have limited access to COVID-19 testing opportunities. This inspired Virufy, a non-profit organization, to develop a mobile-based solution that utilizes an artificial intelligence (AI) model to rapidly diagnose COVID-19 through a cough recording. To properly train this model, Virufy needs a large database of annotated cough recordings; however, the current method of annotating data is outdated and disorganized. To streamline their annotating process, we developed a web-based audio-annotating tool that heavily utilizes the open-source library Label Studio, which will enable the crowdsourcing of audio annotations on the cough samples and support Virufy in improving their AI model.

Our project, Data Forensics, is part of our sponsor’s larger Data Afterlives project. The NSF asks researchers to make federally funded data available. We researched NSF awards to see if we could find data associated with these projects. Our findings demonstrate the challenges in finding data and how the accessibility of data varies depending on the NSF research area. We discuss the steps that we took in the course of our research, as well as why this research matters, particularly to information professionals and how national policy shapes the future of open research. We offer future avenues of research.

This case study focuses on non-standardized addresses in Kenya and their negative impact on delivery infrastructure. Through extensive research and stakeholder engagement workshops, our team developed a digital addressing minimal viable product. We utilized a user-centered design and design thinking approach to product development ensuring desirability, feasibility, and viability. The MVP includes features allowing users to provide delivery instructions for better driver context. This solution enhances customer experience by providing accurate doorstep deliveries, and improved location identification and communication. Once completely implemented, this Bawbab can enable doorstep delivery for 38M Kenyan residents.

In this project, we identified potential digital safety concerns in the metaverse based on current trends in Web 2.0. We first develop three use cases in the healthcare, social, and entertainment sectors with specific scenarios. Then we identified current compensating controls to propose mitigation strategies for each risk in all three scenarios. Lastly, we categorised common risk categories to inform areas of concern and potential impact in the metaverse for general users.