By Lauren Woodman, CEO, DataKind
After nearly five years leading DataKind, I’ll be stepping down at the end of this month. It’s a bittersweet moment and an opportunity to reflect – not only on the extraordinary people behind this organization, but also on how the role of data and AI in the social sector has evolved.
When I joined, the idea that advanced data science – and increasingly AI – could meaningfully shape decision-making in the social sector was still emerging. Today, that conversation has shifted dramatically. Nonprofits, governments, and community organizations increasingly recognize that responsible data infrastructure and AI-powered insights are essential to tackling complex social challenges.
DataKind was uniquely positioned to help lead the shift. The organization already had a powerful mission, a committed global community, and a decade of experience helping mission-driven organizations apply data science to real-world problems.
Over the past five years, our focus has been building the next phase of work.
From Projects to Products
For much of its history, DataKind was known for delivering high-impact data science projects across areas such as financial inclusion, humanitarian response, health, and climate. These collaborations demonstrated what becomes possible when mission-driven organizations gain access to world-class technical expertise.
But we began asking a larger question: how could DataKind move beyond solving one organization’s challenge at a time and instead build solutions that entire sectors could use?
That question led to a fundamental shift in our strategy. We began investing in reusable tools and platforms – moving from bespoke analytics toward scalable solutions that help organizations make better decisions every day.
One example is our student success platform, Edvise. What began as a collaboration with John Jay College to better identify students at risk of dropping out evolved into a scalable AI-powered platform that helps institutions intervene earlier and support student success. By its launch year, Edvise exceeded adoption targets, reaching more than 70 institutions and continuing to grow.
We’ve applied this same approach across other domains – from tools that help communities better understand housing instability to research mapping climate finance opportunities. In each case, the goal is the same: build practical tools that extend the reach of data science beyond a single project or organization.
Building the Infrastructure for Social Impact
This shift toward scalable solutions has only been possible through collaboration.
Over the past several years, DataKind has worked with foundations, corporations, and philanthropic technology leaders that recognize the growing need for durable data infrastructure in the social sector.
These investments reflect a growing recognition that the social sector needs more than just analysis. It needs systems that allow organizations to use data consistently to guide decisions and improve outcomes.
Responsible AI for the Social Sector
At the same time, the rapid acceleration of AI has raised important questions about how these technologies are developed and deployed.
From the beginning, DataKind’s work has been grounded in the belief that technology must be built with – and not simply for – the communities it is meant to serve. That principle has guided how we approach data science and increasingly how we think about responsible AI.
Throughout our evolution, our goal has remained the same: ensure that powerful data tools are accessible, responsible, and grounded in real-world needs.
The Power of Community
Even as DataKind’s strategy has evolved, one constant has been its community.
Our partner organizations, volunteer technologists, chapters, and supporters form a global network of people committed to applying data science and AI to real-world challenges. From DataDive events to research collaborations to public conversations about responsible technology, this community continues to fuel the broader “data for good” movement.
One lesson that has become clear over the past decade: technology alone does not create impact. Real progress happens when technologists, practitioners, policymakers, and community leaders work together to design solutions that reflect real needs and lived experience.
That collaborative spirit remains at the heart of DataKind’s work.
What Comes Next
As I step away from this role, I do so with enormous confidence in DataKind’s future.
The organization enters its next chapter with a strong, proven team, a clear strategy, and a growing portfolio of products that are already helping organizations make better decisions. The work ahead – scaling solutions for higher education institutions, frontline community organizations, humanitarian responders, and others working to build stronger communities – builds directly on the foundation the team has been developing.
The challenges facing our world are complex. But the tools available to address them have never been more powerful.
Organizations like DataKind have an important role to play in ensuring those tools are used thoughtfully, responsibly, and in service of the public good.
Leading this organization has been a great privilege. I’m profoundly grateful to everyone who has been part of this journey. I look forward to seeing how DataKind continues pushing the boundaries of how data and AI can strengthen communities in the years ahead.
Header image above courtesy of World Economic Forum.
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Quick Links
- Making Data Useful: Designing for Impact When Resources Are Limited
- Innovating With Intention: What We Learned About Growth in 2025
- Scaling What Works: DataKind’s Next Step Forward
- Meeting the Moment: DataKind’s Next Chapter
- Introducing Ladder: A New Way to Harness Community Data for Impact
- Empowering Advisors, Supporting Students: Introducing Edvise
