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.

Natural language model for automatic identification of Intimate Partner Violence reports from Twitter - ScienceDirect

DATA in the time of COVID-19 – Open Data Watch

Frontiers Multi-omics and machine learning for the prevention and management of female reproductive health

Digital Epidemiology

Systematic meta-analysis of research on AI tools to deal with

Automatic Detection of Levels of Intimate Partner Violence Against Women with Natural Language Processing Using Machine Learning and Deep Learning Techniques

Remote data collection on violence against women during COVID-19

How to use the Digital Preservation Toolkit

Frontiers The Covid-19 Pandemics: why Intersectionality Matters

Day for the Elimination of Violence against Women

Global Forest Coalition The impacts of tree plantations on women & women-led resistance to monocultures - Global Forest Coalition

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

Clinically applicable approach for predicting mechanical