Gender disparities in computer science authorship persist as a significant challenge in academia. Our project involves creating a data visualization website to highlight the gender gap in computer science research. We discovered that women represent a mere 21.9% of published papers. Additionally, women constitute only 25% of full-time professors and earn just 80% of what their male counterparts make. By presenting engaging data visualizations and employing a predictive algorithm, our website sheds light on the future gender gap. This project empowers others by raising awareness and facilitating informed actions to combat gender disparities in computer science

Ace Interviews with AI offers a free and customizable simulated mock interview platform to help job seekers in tech-related industries prepare for their dream job. The platform provides a realistic interview experience with instant feedback, allowing users to improve their skills in a risk-free environment. Ace Interviews with AI empowers job seekers to gain confidence and interview expertise, enabling them to stand out in today's competitive job market and secure their ideal position. Accessible from anywhere and available for free, it's the cutting-edge solution to mastering the interview process.

One of the most challenging topics in healthcare today is thinking about the impact of AI. This project centered on developing accessible teaching material using an anti-bias and equity lens. The crux of the challenge was creating content that spoke to Faculty, C-Suite decision makers and clinicians. Unfortunately, expertise is often siloed across these groups leading to negative outsized impacts. The key take-way was demonstrating the importance of expertise and demographic diversity across the data provenance pipeline in order to achieve more equitable healthcare outcomes. This collaborative work will continue towards making healthcare AI models more accessible and transparent.

As of 2022, individuals with disabilities face a significantly lower employment rate of 21% compared to 65% for those without disabilities. Moreover, only around 36% of them have the chance to work in management or professional careers, while only 3% of STEM employees identify themselves as individuals with disabilities. We’ve created a website full of career growth resources for people affected with disabilities by leveraging reliable online data sources, Azure Cognitive Search, and OpenAI tools to identify relevant information to help people with disabilities get started in Tech. Accessible design, assistive technology, and online resources empower disabled tech learners.

“Compose A New Canon” is a report analyzing the repertoire performed by the Reno Philharmonic from 2009 to 2024, looking specifically at the representation of composers who fall outside of the traditional classical canon. This analysis includes a comparison of the Reno Phil’s programming practices with national trends identified in the Institute for Composer Diversity’s 2022 Orchestra Repertoire Report. The written report resulting from this project will be distributed to the Reno Philharmonic’s Board, staff, and musicians in the hopes of promoting discussions of diversity, equity, and inclusion in orchestral programming.

Cybersecurity attacks are becoming increasingly complex, making it challenging for many Cybersecurity professionals to identify and respond to threats in a timely manner. Our sponsor, KPMG, aims to develop new cybersecurity tools that use machine learning (ML) and artificial intelligence (AI) to identify more risks and facilitate better risk-based decisions. CyberDawgs is an ML-based dashboard that helps identify suspicious user activity at scale by analyzing login patterns targeted by attackers across multiple features and entities. By analyzing large volumes of data quickly and providing real-time insights, CyberDawgs can enable cybersecurity professionals to respond to threats more effectively.

Government officials are currently searching for consumption-based greenhouse gas emissions analysis that is comprehensive, so that they can make educated carbon emission policy decisions for their city. Our sponsor, EcoDataLab, has created a Dashboard that allows city officials to understand their carbon emissions data through visualizations that would previously have been very complicated to comprehend. Our team transformed EcoDataLab’s platform by creating housing, transportation, and US data pages for their site that allow officials to make informed policy decisions in each respective area, while also making recommendations on their current platforms design and accessibility features.

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.

dService provides international students with detailed information and personalized insights on over 50 US-based data science master's programs. The "by students for students" project simplifies the process of selecting a graduate program and provides helpful information to international students. dService is a one-stop shop for all their needs, providing accurate and up-to-date information that empowers students to make informed decisions that align with their academic and career goals.