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Data, Fundraising, and Your Nonprofit

More than Money

In this module, we unpack the different data implications of fundraising. Everything about fundraising involves data. We dive into data responsibility, liability and vetting of vendors to help you create data management systems that protect your community. 

Scenarios

RankMyProposal

Whitebaud Data Breach


Additional Resources

The Stanford Digital Civil Society Lab curated these resources for those interested in taking action about AI, digital systems, and data collection. They are intended to provide a range of opportunities. You can suggest additional resources by contacting us.

Take Action

  • AI for the People: Nonprofit focusing on implications of AI for Black communities.
  • AI Now Institute at New York University: Interdisciplinary research center dedicated to understanding the social implications of artificial intelligence.
  • Algorithmic Justice League: Highlights algorithmic bias through media, art, and science; provides space for people to voice concerns and experiences with coded bias; and develops practices for accountability during the design, development, and deployment of coded systems.
  • Center for Critical Race and Digital Studies: Educates, engages and consults with digital technology designers, developers, data scientists, content producers, and researchers
    working in industry, government, and academia about race and culturally conscious design, data collection and use, technology transfer, and implementation practices, among other issues, in and with respect to underrepresented communities.
  • Connection Lab and Data Culture Project: Community-led processes for building a data culture.
  • Data & Society: Research Institute studying the social implications of data-centric technologies and automation.
  • The Digital Impact Toolkit provides information on how to develop an organizational data strategy that aligns with your mission.
  • The Database License tool from Digital Impact helps you to understand software licensing rights for your organization.
  • The Consent for Data Use tool from Digital Impact helps you to gain a better understanding around collecting information from people, whether through recording interviews, running surveys, or videotaping a presentation or event.
  • The Vendor Contract tool from Digital Impact is a collection of policies covering the use of an organization’s data by software or hardware vendors or consultants.
  • Detroit Community Technology Project: Provides workshops and trainings on AI and other technologies for community groups, and a zine series for DIY workshops.
  • haveibeenpwned.com: Examine your own data privacy practices and see if your information has been subject to data breaches.
  • Breach Notification Law Interactive Map: Understand your own Data Breach Notification Law requirements.

Learn More

  • Algorithmic Justice League: Highlights algorithmic bias through media, art, and science; provides space for people to voice concerns and experiences with coded bias; and develops practices for accountability during the design, development, and deployment of coded systems.
  • Futurist Allison Fine and influencer Beth Kanter write about AI and fundraising and fundraising and ethical dilemmas.
  • Ruha Benjamin, a professor in the Department of African American studies at Princeton University, authored Race After Technology, a book examining the relationship between machine bias and systemic racism.
  • Learn about how AI systems learn and use data for decision making.
  • Allied Media Projects: Nonprofit supporting the communication media sector in creating a more just, creative, and collaborative world committed to social justice.
  • Center for Media Justice: Aims to build a powerful movement for a more just and participatory media and digital world—with racial equity and human rights for all.
  • Chupadatos: Project gathering stories from across Latin America about the mass collection and processing of data that governments, businesses, and we ourselves carry out to monitor cities, homes, and bodies. In Spanish, Portuguese, and English.
  • Data for Black Lives (D4BL): Group of multidisciplinary organizers that aims to use data to create concrete and measurable change in the lives of Black people, and speaks to data scientists, policy makers, researchers, students, and parents to “chart out a new future for data science.”
  • Design Justice: Network for rethinking design processes, centering people who are normally marginalized by design, and using collaborative, creative practices to address the deepest challenges faced by our communities.
  • Ida B. Wells JUST DATA Lab: Brings together activists, artists, educators, and researchers to develop a humanistic approach to data conception, production, and circulation through workshops, open access courses, and other collaborations. The aim is to rethink and retool data for justice.
  • #MoreThanCode: Participatory Action Research (PAR) project “intended to better understand the types of work being done with tech for social justice (and more broadly, in the public interest) as well as the pathways people take into this work.”
  • Auditing Algorithms: Organization producing documentation “that will help to define and develop the emerging research community for algorithm auditing.”
  • ACM Fairness Accountability and Transparency: Multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.