Interpreting data meaningfully

While data can be useful, it’s not neutral. There are biases and blind spots in the systems that produce the data. Worse, data often lacks the depth, context and responsiveness needed to drive real-world change.  The real questions are about who decides which data matter, how it’s interpreted – and what the change based on the data might look like.