
← The Data Journalism Podcast5 janv. · 44 min
A Look Ahead to 2026
<p>As a new year begins, Alberto, Scott and Simon reflect on the broader state of the industry. They discuss dataviz favorites from 2025, what they're working on in 2026, and thoughts on the upcoming year in data journalism.</p><p><br></p><p>Work mentioned in the episode:</p><ul><li><a href="https://cplusj2025.com/" target="_blank" rel="ugc noopener noreferrer">Computation + Journalism conference</a></li><li><a href="https://www.nytimes.com/interactive/2025/02/26/us/organ-transplants-waiting-list-skipped-patients.html" target="_blank" rel="ugc noopener noreferrer">"Organ Transplant System 'in Chaos' as Waiting Lists Are Ignored"</a></li><li><a href="https://cj-robinson.github.io/trans-model-leg/" target="_blank" rel="ugc noopener noreferrer">"The Legislative Network Behind State Trans Laws"</a></li><li><a href="https://publicintegrity.org/topics/politics/state-politics/copy-paste-legislate/" target="_blank" rel="ugc noopener noreferrer">Copy, Paste, Legislate project</a></li><li><a href="https://projects.propublica.org/venezuelan-immigrants-trump-deported-cecot/" target="_blank" rel="ugc noopener noreferrer">"The Men Trump Deported to a Salvadoran Prison"</a></li><li><a href="https://www.reuters.com/graphics/BUILDING-FIRES/byprqyryzve/" target="_blank" rel="ugc noopener noreferrer">"Buildings wrapped in solid gasoline"</a></li><li><a href="https://www.niemanlab.org/2025/12/show-your-work-makes-a-triumphant-return/" target="_blank" rel="ugc noopener noreferrer">Scott’s Nieman prediction</a></li><li><a href="https://www.penguinrandomhouse.com/books/743569/empire-of-ai-by-karen-hao/" target="_blank" rel="ugc noopener noreferrer">Empire of AI by Karen Hao</a></li><li><a href="https://www.harpercollins.com/products/the-ai-con-emily-m-benderalex-hanna?variant=43065101189154" target="_blank" rel="ugc noopener noreferrer">The AI Con by Emily M. Bender and Alex Hanna</a></li><li><a href="https://www.ucpress.edu/books/predatory-data/paper" target="_blank" rel="ugc noopener noreferrer">Predatory Data by Anita Say Chan</a></li><li><a href="https://link.springer.com/book/10.1007/978-3-032-02665-1" target="_blank" rel="ugc noopener noreferrer">Disabling Intelligences by Rua M. Williams</a></li><li><a href="https://www.oreilly.com/library/view/ai-engineering/9781098166298/" target="_blank" rel="ugc noopener noreferrer">AI Engineering by Chip Huyen</a></li><li><a href="https://www.penguinrandomhouse.com/books/798252/what