• Gender and Political Party Differences in U.S. Governors’ Twitter Use on COVID-19

    In the United States, governors’ recommendations and policies have played a key role in COVID-19 testing and prevention, and consequently infection and fatality rates.1,2 Policy response to COVID was strongly partisan, with Democratic-led states more likely than Republican-led states to issue prevention activity mandates (e.g., mask wearing, stay-at-home orders). Gender is also believed to have some effect on COVID-19 outcomes, based on global evidence indicating that nations led by women are more likely than nations led by men to issue stay-at-home mandates earlier and to see lower COVID-19 fatality rates.5 This type of gender analysis of political leaders has not been conducted in the U.S., a concern, given prior research suggesting that American women politicians are more likely to focus on health and welfare concerns as compared to their male counterparts.6 This study examines U.S. governors’ COVID-19 messaging on Twitter by gender and political party; we focus on Twitter given…

  • The Landscape of Big Data and Gender: A Data2X Update

    The motivating belief of Data2X is that greater capture, analysis, and use of data catalyzes gender equality. Over the last several years, Data2X has investigated the role of “big data” in filling gendered knowledge gaps by funding ten research projects that analyzed the potential of big data to quantify the economic, social, and health status of women and girls. The findings of those projects are summarized in our report Big Data, Big Impact? Towards Gender-Sensitive Data Systems. Building on this work, this report: 1) highlights the ongoing research of five Data2X grantee partners; 2) reviews other innovative studies at the intersection of big data and gender carried out in the last several years; and 3) draws out six global observations about trends in big data and gender that are most relevant to vulnerable women and girls. Read the report.

  • Big Data and Gender in the Age of COVID-19: A Brief Series from UC San Diego

    Understanding the gendered effects of the COVID-19 pandemic is challenging, especially due to limitations in data collection. Big data can help fill these data gaps when traditional data is lacking or unavailable by providing unique insights into a wide range of issues affecting women and girls. Researchers from the Center on Gender Equity and Health at the University of California at San Diego (UC San Diego) have undertaken a series of briefs that analyze big data — such as, Twitter data and Google Trends — to highlight key gendered issues during the pandemic within select country contexts and to offer a “how-to” section for replication of these analyses in any country context. For each brief in the five-part series, researchers provide reproducible codes along with a description of the methodology. Briefs will be published once a month. This work was supported by a grant to UC San Diego from the…

  • Tracking the Journey of Diamond Bank’s BETA Customers from Account Ownership to Usage

    This report uses bank transaction data to understand Nigerian women’s savings behavior.

  • Women in the gig economy: Paid work, care and flexibility in Kenya and South Africa

    This report looks at the gendered experiences of gig work in Kenya and South Africa.

  • Gender Disparity Signals: Analyzing Gender Disparities with Mobile Phone Metadata

    This report explores how mobile phone data can highlight gendered educational inequalities.

  • Differences in Mobile Money and Phone Usage Between Men and Women in Uganda

    This report shows how mobile phone data can highlight gendered differences in mobile phone usage.

  • Safety First: Perceived Risk of Street Harassment and Educational Choices of Women

    This report uses big data to show how street harassment affects women’s educational choices.

  • Towards High-Resolution Sex-Disaggregated Dynamic Mapping

    This report finds that combining big data with traditional data can provide a more detailed understanding of women’s lives.

  • Gender Gaps in Urban Mobility

    This report explores how data from mobile phone users can highlight gendered urban mobility patterns.

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