On May 18th,I was a guest on the WCPN Cleveland Public Radio show the Sound of Ideas. We talk about the evidence of increased speeding in Ohio during the COVID-19 pandemic, and more broadly about the current opportunity to rethink how we use street space in our cities:
WCPN (Cleveland) – The Sound of Ideas: Traffic and Speeding During The Pandemic
New publication: Miller, H.J. (2020) “GIScience, fast and slow – Why faster geographic information is not always smarter,” Progress in Human Geography, 44, 129-138.
Abstract. The growing maturity and deployment of low-cost georeferenced sensors, navigation systems, fast wireless communication, cyberinfrastructure and the Internet of Things (IoT) is accelerating the speed of geographic data flowing from the environment and our capabilities for reacting quickly to geographic information, often automatically and in real-time. This is leading to the rise of real-time GIS and smart cities technologies. While reacting quickly to changing circumstances has value, there are potentials for unintended consequences and rebound effects resulting from our inability to build geographic knowledge quickly and the selective acceleration of societal processes. This report discusses why these unintended outcomes may occur, and suggests technical and scientific approaches for understanding and managing the potential impacts of fast geographic data.
On September 19 2019, I gave a lecture in the Methods: Mind the Gap Webinar Series of the National Institutes of Health Office of Disease Prevention (ODP): Geospatial data for healthy places: Building environments for active living through opportunistic GIScience. A video of the lecture and slides is posted here
In this lecture, I discuss the role of geospatial technologies and data in facilitating quasi and natural experiments about built environment factors that encourage active living. I also extend this idea to the concept of geographic information observatories: systems for ongoing data collection and analysis that facilitate opportunistic science that can leverage real-world events via ongoing observation, experimentation, and decision-support.