These are questions that we should ask for each city we are working on. Some are just basic background (the vehicle mix or air regulation history in a particular city, for example); others (focused on parks or parking lots, for example) are are less straightforwardly necessary to answer, but have potential to help us understand the lived experience and style of particular cities. Here are some good resources for shared questions.

Most of these shared questions should contribute to some kind of shared finding -- and then become a TAF file. New findings will also provide content for the newsletter associated with the project (which we promise in the NSF).

Shared questions are also a good way to orient student research (and our field schools); this approach worked well with a group of about 20 undergraduates at RPI fall 2015. Note that one way to answer these questions is through interviews.

In the PECE platform, I think that the list below would become one ever-growing structured analytic. Individual questions may also call for their own structured analytic. Some questions will call for a group dedicated to working on it.

All are welcome to add shared questions.









  • What is the vehicle and fuel mix (including freight traffic, ship traffic, and, if possible, construction vehicles) in each city, and what standards and rules regulate emissions and vehicle activity? See this recent coverage of problems with diesel powered vehicles in Europe.








  • Who produces and takes care of asthma data sets in the city?

  • What K-12 school-based asthma initiatives have been undertaken in each city?

  • Public transportation capacity? Vehicle mix and fuel mix? Transportation innovations?


  • GHG inventories?



  • Historical development and character of city leadership?

  • What flash points tell us something about how the city works?

  • Where does data mix with propaganda? (eg When/where have there been claims that air pollution and related health data has been (perhaps purposefully) misrepresented? Note that this is relevant to a thread we follow in K-12 EcoEd outreach focused on how air pollution data can lie -- as a way to teach a mix of scientific and media literacy.