Vision Zero Houston: To improve street safety for all and reduce traffic crashes to zero by 2030.
By using data analysis to identify features of the most dangerous roads and guide street design, education, and implementation, it is possible to greatly reduce and potentially eliminate traffic deaths, which are not accidents; rather, they are preventable and unacceptable.
Analyzing Texas Higher Education data for strategic planning, financial reporting and benchmarking
Students built a dashboard that will help community colleges across Texas better visualize how their funds were being allocated and built models to see how those allocations affect student achievement.
Development of Machine Learning Algorithms for Precision Waterbird Monitoring
Monitoring of colonial waterbirds is essential to inform conservation decisions and gauge the surrounding ecosystem health. Student team developped computer vision algorithms to automatically monitor and survey colonial waterbirds using unmanned aerial vehicle (UAV) imagery.
Read more about their project on Rice Engineering News.
Team Heat: Mitigating Extreme Heat in Houston
D2K Lab collaborated with the City of Houston to address rising extreme heat in specific neighborhoods in Houston. This project found actionable ways for the city to reduce heat in the most socially vulnerable communities using the city’s data from the Heat Watch volunteer project and a myriad of other sources in our environment.
Modeling Inequity in Harris County
Inequity is present throughout Harris County, as evidenced by the lasting presence of the “Houston Arrow”, a region of relative extreme affluence due to historical circumstances, across maps. Presenting results in an interactive visualization dashboard, D2K student team, sponsored by BakerRipley, use causal inference and structural equation models to identify important socioeconomic factors determining equity and their relationships, creating regression models to pinpoint and predict regions of inequity in Harris County so that communities experiencing barriers in achieving equity can be targeted and elevated.
Closing the Gap: A data science approach to reducing academic achievement gaps
Rice D2K Lab students working with capstone project sponsor OpenStax developed a data-driven approach to identifying students falling behind in classes. The goal of the project was to provide teachers with actionable predictions and to strengthen student-teacher connections. In our current remote learning environment, these predictors were especially important, as students were having fewer interactions with teachers.
This D2K Capstone project was sponsored by OpenStax, a nonprofit organization at Rice University that provides open educational resources for students and teachers. “We are extremely proud of Team OpenStax and the work they put forth,” said Debshila Basu Mallick, research scientist at OpenStax and the sponsor mentor of the project. “From the get-go, Team OpenStax understood the significance of what they were working on: a small step toward reducing inequities in education, especially as teachers and students struggle to stay afloat during this pandemic.” READ MORE >>
Emergency Response Demographic-Based Risk Assessment for Houston
The Houston Fire Department enlisted the support of Rice University’s Data-to-Knowledge (D2K) Lab in its efforts to develop a risk assessment specific to its community in spring 2020. The six-student team received instructions to remain data-driven and had no prior connections with the fire service.
The six-student team completed visits to a fire station and the dispatch center and conducted an extensive literature review to obtain a working knowledge of their project. The team processed emergency response data alongside data from the Census’s American Community Survey. The skills applied are more often found in academia but can be applied at a practical level, even in a fire department. As part of its partnership with the university, the Houston Fire Department has access to the methodology used as well as the results. This transparency increases legitimacy to decision-makers and allows for the study to be replicated in the future. READ MORE >>
Students adding 5 ambulances would aid EMS response across Houston
Adding five ambulances to southwest neighborhoods served by the Houston Fire Department (HFD) Emergency Medical Services program would cut an average of 10 critical seconds off response times to calls for help, according to data models developed by recent Rice University graduates.
The added ambulances would also cut down on citywide “chain reactions” that force emergency personnel from distant stations to respond when local medics or fire personnel are tied up.
The recommendation is the result of months of number-crunching by students at the Brown School of Engineering’s Center for Transforming Data to Knowledge, aka the D2K Lab. Spearheaded by Genevera Allen, an associate professor of electrical and computer engineering, statistics and computer science, the D2K Lab provides opportunities for students to work directly with companies, academic labs, government agencies and nonprofits to translate data into actionable ideas.
Full article link: https://news.rice.edu/2019/08/13/students-adding-5-ambulances-would-aid-ems-response-across-houston-2/
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