Travel Patterns of Residents at Affordable Transit-Oriented Developments
Miriam Zuk, Center for Community Innovation
As part of our efforts to promote sustainable and equitable growth, the Center for Community Innovation is currently studying the environmental and other co-benefits of locating affordable housing near transit. This project aims to fill current gaps in the literature by examining the relationships between affordable housing, proximity to transit, and travel patterns through primary data collection and analysis. Sponsored by the California Air Resources Board, this study will help to inform the future of state and local policy pertaining to affordable transit-oriented developments. Primary GPS and survey data, which is being collected by a team of graduate and undergraduate researchers, will be analyzed to determine the travel patterns (e.g., distance, duration, mode, etc.) of residents of affordable housing developments both near and far from rail transit stations. Students will analyze GPS data collected with the e-missions app.
UC Berkeley Business Intelligence Project
Aswan Movva, UC Berkeley Finance
Berkeley's current applications are not the best when it comes to building ad-hoc queries to answer simple high-level questions like "What is the current employee headcount of economics department". This project will develop a BI tool where ad-hoc queries can be built in an easier and simple way to answers some of the critical questions.
Increasing Staff Diversity
Tim Abdellah Fuson, UC Berkeley Central Human Resources
Central HR at UC Berkeley is trying to make more effective use of data to improve diversity in the non-academic staff population (over 8000 employees) with respect to women, ethnic minorities, veterans, and individuals with disabilities. We produce annual datasets and reports to comply with federal affirmative action regulations. These data include demographic breakdowns of the current and past workforce, and details of personnel transactions (new entries, internal transfers and promotions, and separations). The current project is a deeper dive into the data: identifying trends, successes, and opportunities for improvement. The desired outcome is to identify strategic areas in which to improve both our progress toward affirmative action goals and our general workforce diversity.