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- Ronald McDonald House Charities of Chicagoland & Northwest Indiana (1)
Articles 1 - 3 of 3
Full-Text Articles in Social Statistics
Effect Of Covid-19 Pandemic On Volunteerism And Fundraising Management Strategies In Nonprofits And Rebuilding Tactics Of Ronald Mcdonald House Charities Of Chicagoland And Northwest Indiana (Rmhc-Cni), Humza Wolf
Student Capstone Projects
The financial sustainability of nonprofits depends highly on volunteerism and funding strategies which got impacted during Coronavirus 2019 (COVID-19) Pandemic. This capstone study explores to what extent nonprofits got affected and evaluates the efforts of Ronald McDonald House Charities of Chicagoland & Northwest Indiana (RMHC-CNI) to improve the provision of support for underprivileged families of critically ill children. The continual efforts to overcome financial hurdles escalated in pandemic. Mixed method research design was used to collect, analyze, and triangulate both quantitative and qualitative research methods in this single study to understand the research problem. Interpretive approach encompassed the complexities of …
Happiness And Policy Implications: A Sociological View, Sarah M. Kahl
Happiness And Policy Implications: A Sociological View, Sarah M. Kahl
Dissertations, Theses, and Capstone Projects
The World Happiness Report is released every year, ranking each country by who is “happier” and explaining the variables and data they have used. This project attempts to build from that base and create a machine learning algorithm that can predict if a country will be in a “happy” or “could be happier” category. Findings show that taking a broader scope of variables can better help predict happiness. Policy implications are discussed in using both big data and considering social indicators to make better and lasting policies.
Data Ethics: An Investigation Of Data, Algorithms, And Practice, Gabrialla S. Cockerell
Data Ethics: An Investigation Of Data, Algorithms, And Practice, Gabrialla S. Cockerell
Honors Projects
This paper encompasses an examination of defective data collection, algorithms, and practices that continue to be cycled through society under the illusion that all information is processed uniformly, and technological innovation consistently parallels societal betterment. However, vulnerable communities, typically the impoverished and racially discriminated, get ensnared in these harmful cycles due to their disadvantages. Their hindrances are reflected in their information due to the interconnectedness of data, such as race being highly correlated to wealth, education, and location. However, their information continues to be analyzed with the same measures as populations who are not significantly affected by racial bias. Not …