Keefe builds maps and interactives using a combination of his own coding and free, online tools. In the spirit of public media, and in the public interest, Keefe also shares his processes so that others might learn from and build on them.
Previously, Keefe led WNYC's news operation for nine years and grew its capacity for breaking news, election coverage and investigative reporting. His career also includes time as a police reporter at two Wisconsin daily newspapers, as science editor for Discovery Channel Online and as president of a small digital production company. Keefe also teaches in the Journalism + Design program at The New School university in New York.
- What is data journalism?
- How is data being applied in different types of journalism, including visualization, investigation, drones, hardware - and other areas?
- Where do you get inspiration from? How do you apply that to your journalism?
- How is a general audience responding to data journalism?
- What techniques do data journalists use to make their work comprehensible and bring their audience along with them, in what sometimes is a specialized area?
- How do you avoid over-complicating or over-simplifying things?
- Who do you design/report for?
- How do you pull out data from stories for your audience?
- What are some of the boundaries/constraints in journalism, where you have to get creative with data?