A hard binary to shake: The limitations and possibilities of teaching GIS critically

This paper builds upon studies employing a syllabi-based methodology that suggest a tendency for critical geographic information science (GIS) courses to emphasize reading/discussion about GIS without actually doing GIS, and for traditional GIS instruction courses to emphasize the technical capacities of GIS software without incorporating critical theory in substantive ways. However, through ethnographic evidence we reveal that there is likely more innovative theory-practice transcending pedagogies being utilized than would necessarily show up in such a syllabi-based methodology. There are also very real and differentially manifest pragmatic, departmental, and institutional barriers in place to effectively incorporating critical social theory into courses that actually do GIS. We first catalogue these barriers as a means of ascertaining what can (and cannot) be done to overcome them through GIS pedagogic innovation. We then outline the (often-veiled) pedagogic strategies deployed by critical GIS scholars today to navigate and circumvent these barriers.     

A Geographic Network Automata Approach for Modeling Dynamic Ecological Systems

Landscape connectivity networks are composed of nodes representing georeferenced habitat patches that link together based on a species’ maximum dispersal distance. These static representations cannot capture the complexity in species dispersal where the network of habitat patch nodes changes structure over time as a function of local dispersal dynamics. Therefore, the objective of this study is to integrate geographic information, complexity, and network science to propose a novel Geographic Network Automata (GNA) modeling approach for the simulation of dynamic spatial ecological networks. The proposed GNA modeling approach is applied to the emerald ash borer (EAB) forest insect infestation using geospatial data sets from Michigan, U.S.A. and simulates the evolution of the EAB spatiotemporal dispersal network structures across a large regional scale. The GNA model calibration and sensitivity analysis are performed. The simulated spatial network structures are quantified using graph theory measures. Results indicate that the spatial distribution of habitat patch nodes across the landscape in combination with EAB dispersal processes generate a highly connected small-world dispersal network that is robust to node removal. The presented GNA model framework is general and flexible so that different types of geospatial phenomena can be modeled, providing valuable insights for management and decision-making.     

Policy Entrepreneurs,Legislators, and Agenda Setting: Information and Influence

Policy entrepreneurs are thought to be instrumental in agenda change, yet we lack knowledge of how legislators perceive their role in the agenda formation process. Using data from a national survey of state legislators, we examine whether entrepreneurs shape the legislative agenda on disaster preparedness and relief, which types of entrepreneurs are most influential, and what strategies they use in their interactions with legislators. The results indicate that legislators who report contact with policy entrepreneurs are more likely to have introduced related legislation, evidence of the important link between entrepreneurs and policy change. While entrepreneurs utilize a variety of different strategies, the analysis reveals policymakers are particularly receptive to entrepreneurs who provide new and reliable information. This finding suggests the influence of entrepreneurs lies not only in their ability to define problems and build coalitions, but also in their distinctive ability to provide information to elected officials, an important role that has largely been overlooked by existing literature.