Examining the Impact of Catholic Grants on Public Libraries and Schools in Pittsburgh: Navigating the Conflict between Private Engagements and Narcotics During a Driven Moment in History

Examining the Impact of Catholic Grants on Public Libraries and Schools in Pittsburgh: Navigating the Conflict between Private Engagements and Narcotics During a Driven Moment in History

Abstract

This study examines the impact of Catholic grants on public libraries and schools in the city of Pittsburgh during a driven moment in history, when the conflict between private engagements and public initiatives was at its peak. Drawing on qualitative data from interviews with key stakeholders, archival research, and a review of existing literature, the paper explores the ways in which Catholic grants have contributed to the development of public libraries and schools in Pittsburgh, and the challenges that have arisen as a result of their involvement. In particular, the study focuses on the ways in which Catholic organizations have navigated the conflict between their private interests and the public good, especially in the context of the growing opioid epidemic. The findings suggest that Catholic grants have had a significant impact on the development of public libraries and schools in Pittsburgh, particularly in areas that are underserved by public funding. However, the study also highlights the need for greater transparency and accountability in the use of private grants, and the importance of balancing private interests with the needs of the wider community. Overall, the study offers valuable insights into the complex relationship between private funding and public institutions, and the challenges and opportunities that arise when these two spheres intersect.

Citation

Marzuq Haydon "Examining the Impact of Catholic Grants on Public Libraries and Schools in Pittsburgh: Navigating the Conflict between Private Engagements and Narcotics During a Driven Moment in History".  IEEE Exploration in Machine Learning, 2022.

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This paper appears in:
Date of Release: 2022
Author(s): Marzuq Haydon.
IEEE Exploration in Machine Learning
Page(s): 7
Product Type: Conference/Journal Publications