The new Building Responsive Investments in Data for Gender Equality (BRIDGE) tool is designed for use by gender data focal points in national statistical offices (NSOs) of low- and middle-income countries and by their partners within the national statistical system (NSS) to communicate gender data priorities to domestic sources of financing and international donors.

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This set of guidelines covers five focus areas that can help organizations evaluate generative AI’s risks and considerations as these tools gain mainstream adoption. These guidelines don’t replace principles but instead act as a North Star for how generative AI can be operationalized and put into practice as organizations develop products and services that use this new technology.

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This resource provides insights and methodology with reflection on the initial idea, pilot, and beta for playbook launch phases. It concludes with overall lessons that can be useful to everyone who is developing data playbooks for their organizations.

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As people have used or heard about the power of OpenAI’s GPT-4 foundation model, they have often been surprised or even astounded. Many have been enthused or excited, but others have been concerned or even frightened. What has become clear to almost everyone is something we noted four years ago—we are the first generation in the history of humanity to create machines that can make decisions that previously could only be made by people. This resource provides best practices for implementing responsible AI systems.

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Data can be a powerful tool, particularly in the social sector, with unique opportunities and challenges alike. By being more strategic in how we engage with data, we have an opportunity to advance our missions, increase impact, and promote equitable outcomes. This course was designed with and for social sector organizations seeking to build capacity in these areas.

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This document focuses on privacy-enhancing technologies (PETs) that protect data during analysis and dissemination of sensitive information so that the benefits of using data for official statistics can be realized while minimizing privacy risks to those entrusting sensitive data to National Statistics Offices (NSOs).

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This Data Learning Journey Playbook is a hands-on resource with independent and team activities that seek to build and sustain data culture and skills for global development organizations. This playbook is designed with people at the center— developing data skills for everyone and leveraging data as a tool for learning collaboratively.

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Multiparty data sharing in the social impact sector refers to situations where two or more organizations collaborate to collect, share, and/or analyze data to address societal challenges. Multiparty data sharing often happens among stakeholders from different sectors, including governmental agencies, private companies, and nongovernmental organizations, who come together to establish collaborative partnerships.

This document focuses on data-sharing initiatives that involve partners from across sectors, excluding business-to-business (B2B) and government-to-government (G2G) data sharing. 

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For anyone who works at a nonprofit or civil society group, this guide can help protect the digital privacy of their clients and supporters in a number of ways. These principles should be helpful for thinking about how to move towards better privacy practices in an organization.

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This resource provides guidance to many equity-impacting decisions. Its seven-stage framework provides insight into how to make decisions equitably and then provides a simple explanation. Each stage identifies key equity decision points and provides simple, practical tools to help make those decisions in a way that reflects an organization’s definition of equity.

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There is great value in working to implement better data practices, especially for people who work with data. These data practitioners have a choice about whether to prioritize better decision-making practices. This resource provides guidance on tackling challenges in implementing responsible data practices.

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As support services moved online during the pandemic, and digital became the default mode of communication, more charities and public services found themselves collecting records of conversations from webchats and/or phone calls. As well as containing important information about your beneficiaries or service users, this ‘text data’ holds vital insights about their needs and your impact. There is opportunity for greater insights through analysis of this text data, but organizations must ensure that sensitive data is handled appropriately.

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