The lack of information regarding cycling safety prompts local governments and bicycle associations to look into ways of making cycling in urban areas both more attractive and safer. Using data mining and machine learning techniques, this project can measure bicycle safety from citizens’ complaints and concerns.
Dr. Vanessa Frias-Martinez is an assistant professor in the iSchool and UMIACS, and an affiliate assistant professor in the Department of Computer Science. She also leads the Urban Computing Lab.
Dr. Frias-Martinez's research focuses on the use of large-scale ubiquitous data to model the interplay between human mobility patterns and the built environment. She is also interested in how such models can be used to aid decision makers in areas such as poverty, natural disasters or smart cities.
Current Research Interests
- Urban Informatics
- Smart Cities
- Big Data Analysis
- Applied Machine Learning
- ICTs for Development
- PhD in Computer Science from Columbia University
- MSc in Computer Science from Columbia University
- BSc in Computer Science from Universidad de Valladolid