How visual metaphor helps move our data off the page

And into people’s brains It’s a new year, and as I’m nearing the end of this fellowship, it seems worth pulling the lens back a bit. We’ve spent a lot of time thinking about nuts and bolts —how to build a bot, when to opt for quick and dirty hacks over fresh code, if and … Continued

Pre-reporting for data journalists

A brief intro to exploratory analysis In a recent paper, a pair of statisticians took a stab at outlining “the most important statistical ideas of the past 50 years.” Among them: “counterfactual causal inference, bootstrapping and simulation-based inference, overparameterized models and regularization, multilevel models, generic computation algorithms, adaptive decision analysis, robust inference, and exploratory data … Continued

The promise of environmental data journalism

Over the course of this RJI fellowship, I’m working with the nonprofit environmental magazine Grist to think through what it’d mean to build out a national environmental data-journalism unit—and, in turn, to take what we learn at Grist and translate these lessons into guides for other small or nonprofit newsrooms that might find themselves interested … Continued

RJI Fellow to develop data-journalism unit for smaller scale nonprofit newsroom

The Donald W. Reynolds Journalism Institute has awarded seven fellowships for the 2020–21 academic year for projects that address the increasing challenges in covering climate change, unpublishing, harassment of marginalized journalists and more. Grist Data Strategist Clayton Aldern is spending a fellowship at the Donald W. Reynolds Journalism Institute exploring how easily he can develop … Continued