This document lists numerous social justice topics.

This spreadsheet contains data collected on challenged book (not banned books) in the US across 3 years. The purpose of the data is to compute conditional probabilities from data in a contingency table.

Links to data sources are included in the spreadsheet for further exploration.

This example addresses perceptions of equity and covers multiple introductory statistical concepts.

The authors of this paper share their best practices for the language about gender in research, such as how to write an inclusive survey question and suggestions for language to use (and not use!) in speaking and writing.

This article suggests 5 steps for a statistician to work towards being antiracist (which is not the same as not-racist). The article is filled with reflection questions and more resources, too.

The current movement toward open data and open science does not fully engage with Indigenous Peoples rights and interests. Existing principles within the open data movement (e.g. FAIR: findable, accessible, interoperable, reusable) primarily focus on characteristics of data that will facilitate increased data sharing among entities while ignoring power differentials and historical contexts. The emphasis on greater data sharing alone creates a tension for Indigenous Peoples who are also asserting greater control over the application and use of Indigenous data and Indigenous Knowledge for collective benefit.

This includes the right to create value from Indigenous data in ways that are grounded in Indigenous worldviews and realise opportunities within the knowledge economy. The CARE Principles for Indigenous Data Governance are people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination. These principles complement the existing FAIR principles encouraging open and other data movements to consider both people and purpose in their advocacy and pursuits.