One of the first rules of journalism is: don't make anything up. Using examples from the New York Times graphics department, I want to claim that, for some types of data problems, it's better if we do.
- 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?