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Presentations
- Presentation -- María Lily Rodríguez, Dr. Zacarías Duarte
- Presentation -- Eric Swanson
- Presentation -- Stefaan Verhulst
- Presentation -- Francesca Grum
- Presentation -- Jin Hong
The gap in gender data has been well-publicized, but three years into the 15-year Global Goals agenda, have we made progress in closing this gap? And which approaches are proving to be most effective? Indeed, to meet the commitment enshrined in the SDGs to leave no one behind, including women and girls, will require innovative approaches to data collection, analysis, and use, as well as collaboration across stakeholders.
This session will present, for the first time, updated research on the gender data gap, mapped to the SDGs. Following this scene-setting mapping, a panel discussion will feature four innovative initiatives that use traditional and nontraditional approaches to data collection and analysis and leverage a wide range of data sources, with diverse stakeholders, all with the goal of closing existing gender data gaps central to achieving the SDGs.
The first initiative, a joint partnership of UNSD, UN Women and NSOs, will demonstrate how innovations in respondent selection and related field protocols can be implemented to measure women 's asset ownership through nationally representative household surveys and will highlight why collecting self-reported data is essential for closing the gender data gap on asset ownership.
In the absence of comprehensive data to respond to gender-based violence in Nicaragua, the second initiative, a partnership of UNICEF and Nicaragua 's Legal Forensic Institute, will demonstrate how it is strengthening the country 's administrative forensic data system through the production of data on sexual violence disaggregated by sex, age, poverty, ethnicity and disability.
Finally, by uniquely combining a wide range of datasets in Santiago, Chile, including call detail records and high-resolution satellite data, the fourth multi-partner initiative will highlight how gender data are being used to make transport planning and public spaces more gender-sensitive and inclusive, and how public/private partnerships that combine data and expertise to create public value can be replicated to close other gender data gaps.