Using sex- and age-disaggregated data in humanitarian response

Humanitarian aid remains largely driven by anecdote rather than by evidence, where the contemporary humanitarian system has significant gaps in…

Using CARE’s Rapid Gender Analysis focused on COVID-19 in 38 countries

Qualitative data provide insights on the complexities of people’s needs and identities. Qualitative data also amplify the voices of marginalized…

Strengthening health systems to respond to gender-based violence

Surveys that collect data on gender-based violence have limitations, as they are costly and are not frequently conducted. To fill…

Ensuring that femicides are not misreported as suicides

Existing cause-of-death data show suicide as the number one cause among adolescent girls globally. Yet, given the poor quality of…

Using CARE’s Rapid Gender Analysis for emergencies

In any disaster scenario, CARE’s Rapid Gender Analysis (RGA) identifies and meets the needs and capacities of women and men,…

Using Facebook’s Disaster Maps to understand how men and women are displaced differently

Big data can fill the gap in understanding how populations are affected after a natural disaster. As part of its…

Providing gender-relevant data during crises

There is a gender data gap in understanding how men and women are impacted in humanitarian settings. A study from…

Using the Gender-Age Marker tool during project design and monitoring

Having high-quality and disaggregated data are important for monitoring and evaluating outcomes in development programs. The Inter-Agency Standing Committee’s Gender-Age…

Using the Data Playbook to improve data literacy

To support decision-making during disasters, data literacy is crucial for development and humanitarian practitioners. The International Federation of the Red…

Using the OpenDRI tool to track and measure climate data

Having open climate and disaster data are important for disaster risk management. The OpenDRI Index tracks and measures the availability…