19.03.2019

web4

Post-Webinar

 

Pre-Webinar

Registration Details

Wednesday, 27 March 2019; 10:00 - 11:00 am ET (3:00 - 4:00 pm CET)

Registration 

https://register.gotowebinar.com/register/6948121137230847244

Context

Gender-disaggregated data need to be collected, analyzed, and made openly availabile to unlock opportunities for women and girls and to track progress toward the Sustainable Development Goals (SDGs). A broad range of actors needs to work together to identify gender data gaps, create new methodologies to provide proper disaggregation, establish new data sources, and disseminate gender data related findings. This process of convening actors to close the gender data gap was recently featured at the 50th United Nations Statistics Commission meeting in March. Shortly thereafter, from March 11 to 22, hundreds of gender equality experts and advocates gathered at the United Nations Headquarters in New York City for the Commission on the Status of Women. The conclusion of these important events provides a unique opportunity to discuss the intersectionality between the development data and gender equality communities and to find a way forward.

This webinar will discuss the intersection of gender equality and development data by bringing together speakers from Open Data Watch, Data2X, the Centre of Excellence at the International Development Research Centre, and WorldPop/Flowminder. Each speaker will focus on initiatives underway that aim to close gender data gaps and what is needed to bridge different actors within the gender equality space, including academics, international organizations, policymakers, and civil society organizations.

Eleanor Carey from Data2X will share new findings from a recently released report entitled “Bridging the Gap: Mapping Gender Data Availability in Africa” and focus on the actionable solutions that governments, policymakers, and civil society can implement to prevent gender data inequalities.

Nomthandazo Malambo from the Center of Excellence at IDRC, will dive deep into a key statistical system that can contribute to the monitoring of gender equality for women and girls - Civil Registration and Vital Statistics (CRVS). She will focus on the challenges faced in strengthening these systems around the world and what partners are needed for success.

Andy Tatem from WorldPop Project/Flowminder will provide a big data angle and share examples of how non-traditional data sources can also fill gaps. He will highlight ongoing research that integrates satellite, survey, cell phone, and census data to map the distributions of vulnerable populations for disease, disaster, and development applications, particularly for women and girls, as well as ongoing work in Nepal with Data2X on collecting real-time indicators of women and girls well-being. He will also discuss the importance of connecting such research with policy-makers at the country level to increase use and impact of new data.

Questions to be addressed

This webinar adds to the existing discourse on gender data by demonstrating how partnerships within data systems are necessary for closing existing gaps and generating evidence-based policy for women and girls. The three different perspectives will offer webinar participants a unique view of progress towards closing gaps, collaborations that have cultivate that success, and the roadblocks that impede further progress. The following questions will be discussed:

  • How have conversations on gender data gaps for the SDGs progressed since their adoption in September 2015?
  • What are the persistent gender data gaps? And why?
  • To what extent are we moving beyond gender data gaps identification and working on solutions? What are some of the current solutions?
  • Closing gender data gaps are important but so is closings gaps between data communities. What are some current examples of partners working together to close data gaps?
  • What actors in the gender data ecosystem could benefit from greater interaction and collaboration? What hinders their connectivity? How can barriers be broken down?

Featured Speakers

  • Eleanor Carey, Technical Manager, Data2X

  • Nomthandazo Malambo, Program Officer, Centre of Excellence, IDRC

  • Andy Tatem, Director of WorldPop Project, Director of Flowminder

  • Shaida Badiee, Managing Director, Open Data Watch (moderator)

Resources

Badiee, S., & Appel, D. (2019). Harnessing CRVS systems for the gender-related SDGs-opportunities and challenges. https://idl-bnc-idrc.dspacedirect.org/bitstream/handle/10625/57455/IDL-57455.pdf?sequence=2&isAllowed=y 

Bosco, C., Alegana, V., Bird, T., Pezzulo, C., Bengtsson, L., Sorichetta, A., ... Tatem, A. J. (2017). Exploring the high-resolution mapping of gender-disaggregated development indicators. Journal of the Royal Society Interface. https://royalsocietypublishing.org/doi/full/10.1098/rsif.2016.0825

Buvinic Mayra. (2017). Measuring Women’s Economic Empowerment: Overview. Data2x. https://www.data2x.org/wp-content/uploads/2017/06/Measures_Overview.pdf

Buvinic, Mayra, and Eleanor Carey. (2019) "Leaving no one behind: CRVS, Gender and the SDGs." https://idl-bnc-idrc.dspacedirect.org/bitstream/handle/10625/57452/IDL-57452.pdf?sequence=2&isAllowed=y

Data2x and Open Data Watch. (2019) Bridging the Gap: Mapping Gender Data Availability in Africa. https://www.data2x.org/wp-content/uploads/2019/02/BridgeTheGap-Brochure_FINAL.pdf

Dincu, I., & Malambo, N. (2019). Making the invisible visible: how strong CRVS systems can empower women and girls. https://idl-bnc-idrc.dspacedirect.org/bitstream/handle/10625/57454/IDL-57454.pdf?sequence=2&isAllowed=y

Espey, J. (2019). The costs and benefits of CRVS as a tool for women's empowerment. https://idl-bnc-idrc.dspacedirect.org/bitstream/handle/10625/57453/IDL-57453.pdf?sequence=2&isAllowed=y

Hanmer, Lucia, and Mariana Dahan. 2015. “Identification for Development: Its Potential for Empowering Women and Girls.” The World Bank Voices Blog. https://blogs.worldbank.org/voices/identification-development-its-potential-empowering-women-and-girls

Ruktanonchai, C. W., Nilsen, K., Alegana, V., Bosco, C., Ayiko, R., Kajeguka, A. C. S., ... Tatem, A. (2018). Temporal trends in spatial inequalities of maternal and newborn health services among four East African countries, 1999 - 2015. https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-018-6241-8

Ruktanonchai, C. W., Ruktanonchai, N. W., Nove, A., Lopes, S., Pezzulo, C., Bosco, C., ..,Tatem, A. J. (2016). Equality in maternal and newborn health: modelling geographic disparities in utilisation of care in five East African countries. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0162006

Tatem, A. J., Campbell, J., Guerra-Arias, M., de Bernis, L., Moran, A., & Matthews, Z. (2014). Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births. International Journal of Health Geographics. https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2

U. N. Women, (2018). Turning promises into Actions. Gender equality in the, 2030. https://reliefweb.int/sites/reliefweb.int/files/resources/Gender_equality_as_an_accelerator_for_achieving_the_SDGs.pdf

U.N. Women. (2018) Gender Equality and Big Data. http://www.unwomen.org/-/media/headquarters/attachments/sections/library/publications/2018/gender-equality-and-big-data-en.pdf?la=en&vs=3955

U.N. Women. (2018) MAKING WOMEN AND GIRLS VISIBLE: GENDER DATA GAPS AND WHY THEY MATTER. http://www.unwomen.org/-/media/headquarters/attachments/sections/library/publications/2018/issue-brief-making-women-and-girls-visible-en.pdf?la=en&vs=272

U.N. Women. Gender-related Sustainable Development Goal Indicators. https://www.data2x.org/wp-content/uploads/2017/05/UNWomenList_GenderSDGIndicators.pdf

UNESCO. (2018) Handbook on Measuring Equity in Education http://uis.unesco.org/en/news/new-report-how-measure-equity-education

United Nations Development Programme. (2019). UNDP Gender Equality Strategy 2018-2021. https://www.undp.org/content/undp/en/home/librarypage/womens-empowerment/undp-gender-equality-strategy-2018-2021.html

Vaitla, B., Bosco, C., Alegana, V., Bird, T., Pezzulo, C., Hornby, G., ... & Wetter, E. (2017). Big data and the well-being of women and girls: applications on the social scientific frontier. https://eprints.soton.ac.uk/407908/

Vaitla, B., Taylor, A., Van Horn, J., & Cislaghi, B. (2017). Social Norms and Girls’ Well-Being–Integrating Theory, Practice, and Research. http://researchonline.lshtm.ac.uk/4646484/1/Social-Norms.pdf

World Bank Group. (2016). Gender Equality, Poverty Reduction, and Inclusive Growth. http://documents.worldbank.org/curated/en/820851467992505410/pdf/102114-REVISED-PUBLIC-WBG-Gender-Strategy.pdf