NCSI: Geospatial Inspired Community Characterization with High Dimensional Data (Learner Position)

Status	Completed
Mentor Name	Xinlian Liu
Mentor's XSEDE Affiliation	Campus Champion
Mentor Has Been in XSEDE Community	4-5 years
Project Title	Geospatial Inspired Community Characterization with High Dimensional Data (Learner Position)
Summary	We have been studying the geospatial clustering of high-dimensional data for health risk management. In particular, we are interested to find out the impact of various social determinants on residents' overall mental health for a community. We approach this problem from three directions: 1) geostatistics, 2) graph learning, 3) visualization
Job Description	Gathering and pre-processing data from CDC, US Census, and other sources. Coding Documentation
Computational Resources	Stampede at TACC
Contribution to Community	Our study will offer insight into how to improve healthcare through innovative approaches
Position Type	Learner
Training Plan	Mentor guided reading and collaboration
Student Prerequisites/Conditions/Qualifications	Must have: 1) Python; 2) Statistics; 3) Linux command line Desirable: 1) PyTorch, 2) visualization experience, 3) Parallel programming
Duration	Semester
Start Date	09/01/2021
End Date	12/15/2021