Search
Discipline / Topic
Language
Material type
Audience
Length
Teaching Notes
Publisher
Throughout the 20th century, federally subsidized superhighways and mortgage loan programs financed the flight of White residents out of industrial cities like Baltimore and into sprawling new su
Racial disparities in chronic diseases like hypertension and diabetes are exacerbated by an uneven distribution of social resources and a lack of trust that stems from the historical exploitation
How do you change a large, hierarchical organization from within?
This module aims to help the students apply the NLP methods to real text datasets for business insights – the coding component.
This module focuses on teaching students the rationale and mathematical foundation of advanced natural language processing (NLP) methods – the theory component.
The SDG Dashboard is a collaborative data analytics platform designed to assist higher education institutions in reporting a
Students and teachers nationwide are returning to post-Covid classrooms with historically elevated levels of stress and anxiety. Addressing this modern crisis in mental health can be a chal
Both Pope Francis (in Laudato Si’) and the UN Intergovernmental Panel on Climate Change agree that current methods of production and patterns of consumption cause catastrophic environme
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 reso
There is mounting evidence that technology and automation are contributing to increasing income inequality.
Privacy is not a new concept and definitions continue to take shape. Generally speaking, privacy refers to the right to be left alone.
Generally, ethical issues involve a choice between value systems -- an individual's, an organization's, and/or society's.
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.
Algorithmic bias is a term that describes the fact that computer programs that use machine learning can be discriminatory, or unfair.