There are many externalities from driving; time lost in traffic, climate emissions, local air pollution and more. This project aims to aid policymakers working to limit these ills and improve travel in the Bay Area, particularly through pricing policies – adjustments in tolls, parking rates, etc. We aim to build a simplified commute model by simulating how people get to work. Options such as driving, taking transit (etc.) and the monetary and time cost of each can be constructed through a mapping API.
The Cal Alumni Association Data Science Project is a collaboration between the UC Berkeley Division of Data Sciences and Cal Alumni Association to assess the correlations between participation in alumni engagement activities and CAA mission fulfillment.
How does society visually represent "cybersecurity?" Working on a set of images collected from two years of cybersecurity-related term searches, this project seeks to better understand our perceptions toward cybersecurity and how they affect the ways we think and act on it.
Currently, over 300 million Sub-Saharan Africans depend on maize as their primary staple food crop. In 2016, a pest indigenous to the Americas called the Fall Armyworm (FAW) arrived in West Africa and has been spreading at breathtaking speed, attacking maize in 44 African countries in just one year. Students will help MercyCorps create a tool to help indicate the location and intensity of FAW outbreaks and help identify the risks of future outbreaks to enable humanitarian organizations to effectively target resources.
Building upon the U.S. Census Bureau's Statistics in Schools program that reaches more than 56 million public school students, this project promotes awareness for the first-ever digital count of the United States — the 2020 Census. Participants are developing interactive Jupyter notebooks and data visualizations in collaboration with the National Science Foundation West Big Data Innovation Hub, the Lawrence Hall of Science, and a network of advisors across the country.
California State Water Resources Control Board seeks to create comprehensive, high-quality data on water rates for agencies across the state. This will allow easy interoperability in joining water use, income, and other demographic data sets.
WAHVE pairs companies looking for specific skills with the veteran talent who have them. Businesses get the quality and knowledge they need, while ”vintage” professionals (people over 50) get to phase into retirement working from their home office. We have analyzed over 52,692 unique applicants and are looking to for students to participate in NLP analysis of the data.