Exploring the policy space and gender data, using data across the SDGs and unpacking disparities

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Albert Motivans

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About this video

Mr Motivans explains the mission of Equal Measures 2030 to close gaps in gender data and evidence through their SDG Gender Index, and to connect gender statistics with advocacy efforts and actions.  Current situation shows that the world is well behind achieving gender equality, and in relation to SDGs 17,13, 9 and 5. Even some top performing countries are not doing well on gender equality, e.g. Japan, and Australia. African countries perform well on gender equality in political participation but less well elsewhere. Data gaps remains critically under-resourced area and need closer and more intense cooperation between relevant actors.

About the presenter

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Albert Motivans
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Head of Data and Research for Equal Measures 2030

Albert Motivans is the Head of Data and Research for Equal Measures 2030, a civil society and private sector-led data and advocacy initiative. He develops innovative approaches to generate, analyze and visualize new and existing sources of development data and to strengthen the technical capacity of national partners to use data to improve policies and development outcomes. He led the design of a comprehensive global tool to measure the status of girls and women - the SDG Gender Index - which was launched in June 2019.

Prior to joining Equal Measures 2030, he led education statistics at the UNESCO Institute for Statistics where he oversaw the global education database and efforts to communicate, visualize and analyze data. He has worked in the fields of data and development for the UNICEF Office of Research and the U.S. Census Bureau and has published widely on the use of data to inform policies in child welfare, education, and gender equality. He is a member of various global technical panels, task forces, advisory groups and is an elected member of the International Statistical Institute.

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Theme 2: Improving Data Collection, and Reliability of Statistics and Indicators on Gender with Intersectionality Dimensions (6)
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Theme 2 Introduction