COVID-19 Houston Response Projects
COVID-19 Houston Response Projects (CHRP) was a data science competition that the Rice DataSci Club and the D2K Lab hosted to encourage all Rice students, grad and undergrad, to get involved in the response to the COVID-19 pandemic. Students used their data science and computing skills to help solve a number of pressing local challenges. Five student teams from the CHRP competition presented their projects at the D2K Virtual Showcase. You can check out their projects by clicking the links below.
Description: Using Google mobility data and ACS/Census demographic data, our project explores how COVID-19 is affecting the extent to which Americans move around the country, how effective stay-at-home orders have been in limiting travel, and what characteristics may make a particular geographic region more or less compliant with these regulations.
Team Members: Kyran Adams, Rebecca Francis, Mario Paciuc, Connor Rothschild
Description: A financial feasibility and analysis on the effect of moving the entire homeless in the United States into the now vacant hotel rooms during a pandemic like the COVID-19.
Team Members: Denizhan Yigitbas, Roy Phillips, Daniel Fay
Description: In response to the COVID-19 pandemic, this project analyzes how Texas should best distribute their limited supply of ventilators across the state, specifically among underrepresented and disproportionately affected counties.
Team Members: Henry Creamer, Jake Joseph, Robert Walsh, and Yong Shin.
Description: We quantify COVID-19 spread rate in the US, and analyze the correlation between this rate and local temperature several ways.
Team Members: Sean Eli
Description: We explored localized reporting discrepancies such as lag and case counts and modeled them on demographic factors by localities to give the public a more realistic understanding of data reporting in their local communities.
Team Members: Emily Wang and Dileka Gunawardana
Rice students present Houston Fire Department findings to city council
Rice’s Data to Knowledge team gives recommendation to Houston City Council
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....
Read more here.