Decision tree: Data collection on violence against women and COVID-19, Digital library: Publications

This decision tree guides data collectors through the various considerations, viable options, and alternative data sources for obtaining information without jeopardizing participants’ safety or the data’s integrity. In doing so, it aims to identify data sources and methodologies that are useful for strengthening services and referral pathways for women experiencing violence during COVID-19.

A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools - ScienceDirect

Machine Learning Applied to Gender Violence: A Systematic Mapping Study

Global toolkit on AI and the rule of law for the judiciary

The Shadow Pandemic: Violence against women during COVID-19

Violence against children and women

COVID's Uneven Toll Captured in Data

All This Terror Because of a Photo”: Digital Targeting and Its Offline Consequences for LGBT People in the Middle East and North Africa

SLJ Reviews of the 2023 Youth Media Award Winners

Decision tree: Data collection on violence against women and COVID-19, Digital library: Publications

Patients, Families, and Communities COVID-19 Impact Assessment: Lessons Learned and Compelling Needs - National Academy of Medicine

Adapting evaluation designs in times of COVID-19 (coronavirus): four questions to guide decisions