Jesuit Perspectives: Data for Good
This category is generated from the recognition that there is a great deal of information generated by organizations in the global economy that can be used for the betterment of society. This information affects social institutions through a comprehensive and collaborative approach that leads to shared knowledge, greater understanding and positive action using data for the service of humanity. Using data in a meaningful way to solve humanitarian problems related to poverty, health, human rights, education, and the environment is aligned with the mission of Jesuit Universities.
This document provides a set of teaching resources, including questions, discussion points and instructor notes for incorporating Jesuit perspectives and values in the classroom. These resources are intended to be used as supplementary materials for Information Systems/Analytics courses. The resources are instructor-focused and meant for the instructor and not the students. This series from Inspirational Paradigm presents teaching resources focused in information systems and analytics with five categories including: Data for Good (DFG), Income Inequality (INI), Algorithm Biases (AB), Privacy (P), and Ethics (ETH). The document available on this page focuses on Data for Good (DFG).
- Recognize the social justice issues related to IT and data analytics: digital divide, data and algorithm biases, and income inequality.
- Understand the technology ethical issues (loss of privacy, rumors & misinformation; data ownership and data access)
- Understand the role IT and IS play for societal good (ability to inform public about health, finance, services, crisis management, environmental sustainability, etc.)