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Using the Gender Climate Tracker
To understand the nexus of gender and climate, the Gender Climate Tracker App gives experts, practitioners, decision-makers, citizens, advocacy groups…
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Undertaking hybrid censuses
For countries that do not have the capacity to conduct full censuses, a hybrid census could be an alternative. In…
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Using self-assessment toolkits to develop gender-equitable spaces in parliaments
To ensure gender equity in public participation, it is also important to measure the gender sensitivity of parliaments. Gender sensitivity…
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Using verbal autopsies to monitor COVID-19 deaths
During the COVID-19 pandemic, countries with weak civil registration and vital statistics (CRVS) systems faced greater obstacles in collecting cause-of-death…
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Using verbal autopsies to collect data on child and maternal health
Verbal autopsies can be used to supplement health surveys or civil registration and vital statistics (CRVS) systems in understanding childhood…
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Reflections from a “data for development” project on the Colombia–Venezuela border that fights gender-based violence
Big data can fill the gap in gender-based violence in the context of migration. Designed by Ladysmith, Cosas de Mujeres…
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Using datasets on women’s participation in peace agreements
In peacekeeping scenarios, it is important to understand the participation of women in these processes. Uppsala University’s Peace Agreement dataset…
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Collecting and using citizen generated data for gender-relevant SDG indicators
Civil society groups play an important role in monitoring the SDGs. Developed by UN Women, the Methodological Guidelines on using…
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Using ACLED dataset on political violence against women
Academia and civil society organizations play a role in providing non-official data on political violence. The Armed Conflict Location and…
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Creating country-based taskforces to improve data collection on human trafficking
To improve data collection on human trafficking, the British Embassy Jakarta, Human Rights Resource Centre, and Stanford University assessed the…
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