ORCID
https://orcid.org/0000-0002-9478-6459
Year
2024
Season
Spring
Paper Type
Master's Thesis
College
College of Computing, Engineering & Construction
Degree Name
Master of Science in Computer and Information Sciences (MS)
Department
Computing
NACO controlled Corporate Body
University of North Florida. School of Computing
First Advisor
Dr. Karthikeyan Umapathy
Second Advisor
Dr. Dan Richard
Third Advisor
Dr. Xudong Liu
Fourth Advisor
Dr. Sandeep R. Reddivari
Department Chair
Dr. Asai Asaithambi
College Dean
Dr. Chip Klostermeyer
Abstract
According to the US Census Bureau 2020 data, Florida is one of the six states where the population was undercounted. The census in the US is conducted every ten years and plays a pivotal role in shaping government representation, resource allocation, policy making and federal assistance distribution. Consequently, undercounting of population impacts demographic equality, potentially leading to inequitable distribution of resources. The state of Florida will lose billions of dollars by the end of the decade due to this undercounting issue. So, it is an important task to find the proper reason and sources of undercounting in Florida. The US Census Bureau provides a state estimate of undercounting from the post enumeration survey, but not county specific. By gaining insight into the ramifications of this impact, in our previous research we generated a methodology to measure the undercounting index for Florida specific data at county level. Based on the methodology and analysis of the undercount, we found the access of digital technology and internet is one of the key parameters influencing the undercount problem as the 2020 census conducted fully online. The accessibility of the internet falls under a social dimension called digital divide. We anticipate in 2030 the US Census Bureau will continue to rely on the internet as the primary mode of data collection. Thus, studying the impact of digital divide on undercount in Florida is of utmost importance. To conduct a data driven investigation, in this research we followed the design science research methodology. We analyzed the correlations and the clustered groups that are affected by digital divide and undercounting of population. This research's findings would be beneficial for non-profit organizations working on socio-economic issues.
Suggested Citation
Datta, Partha Protim, "A clustering-based approached to analyze impacts of digital divide on undercounting issues in census in Florida" (2024). UNF Graduate Theses and Dissertations. 1263.
https://digitalcommons.unf.edu/etd/1263