Join the DATA4Philanthropy network
DATA4Philanthropy welcomes representatives from the global philanthropic community interested in using data-driven innovation in their work.
Sign up below to join the DATA4Philanthropy network
The DATA4Philanthropy network seeks to accelerate the use of data-driven methods and tools across philanthropic functions. We encourage you to join our network to stay up to date on recent events, participate in future engagements, and showcase your work to a global audience.
When you join the network you will be able to:
Find and connect with like-minded individuals across the philanthropic sector
Feature your innovative data-driven work on the platform
Learn from others’ experiences and best practices
Stay updated on emerging data-driven methods and future learning opportunities
Request and review future primers and case studies
Testimonials
"21st century problems not only require new solutions; we also need new methods for identifying and developing solutions. Data can transform philanthropy, but that will require adopting new ways of defining and prioritizing the questions that matter"
Co-Founder and Chief Research and Development Officer at The GovLab
"Emerging data-driven methods and tools are not only providing new pathways for innovation across the grant making cycle, but also can help build transparency and collaboration across the sector."
Head, Innovation & Integration at the Paul Ramsay Foundation
"A commitment to better data is a commitment to more thoughtful and impactful philanthropy. Data-driven approaches can empower donors to make informed, strategic, and accountable choices. It fosters a culture of continuous improvement, allowing philanthropists to refine their strategies, learn from both their successes and their failures, and adapt their funding approaches over time. This all leads to better outcomes for individuals, their communities and wider society."
CEO of Philanthropy Australia
Join the network
Through this form, please share more information* about your philanthropic work and data innovation related interests.