2014
DOI: 10.1080/03098265.2014.956299
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Values, choices, responsibilities: thinking beyond the scholarly place of ethics for the GIScience and technology profession and GIScience

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Cited by 6 publications
(4 citation statements)
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“…Research projects integrating multiple opensource software and data providers inevitably encounter challenges of error, uncertainty, and subjectivity in GIS (Schweik et al 2009). Every error presents opportunities to discover the social construction of GIS (Warren 1995) as its network of technologies, developers, and users is disrupted and reconfigured (Harvey 2001;Comber et al 2003;Latour 2005). Many disruptions are caused by semantic shifts understood by researching the social and technical context of spatial data and algorithms (Schuurman 2008).…”
Section: Teaching Critical Open Gismentioning
confidence: 99%
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“…Research projects integrating multiple opensource software and data providers inevitably encounter challenges of error, uncertainty, and subjectivity in GIS (Schweik et al 2009). Every error presents opportunities to discover the social construction of GIS (Warren 1995) as its network of technologies, developers, and users is disrupted and reconfigured (Harvey 2001;Comber et al 2003;Latour 2005). Many disruptions are caused by semantic shifts understood by researching the social and technical context of spatial data and algorithms (Schuurman 2008).…”
Section: Teaching Critical Open Gismentioning
confidence: 99%
“…However, integrating critical GIS with reflective practice can be an effective pedagogy. Teaching ethics and critique is more effective with applied experience (DiBiase et al 2012; Harvey 2014). Teaching GIS techniques as socially constructed (Warren 1995) is an effective pedagogy, as students care about GIS as their subject (Schuurman and Pratt 2002) through their practicums and research projects.…”
Section: Teaching Critical Open Gismentioning
confidence: 99%
“…We recognize that issues and potential responses to the 3Es are a vast canvas. In GIScience a sample of the relevant topics includes ethics ( 36 38 ); data representation ( 39 ); justice, equity, diversity, and inclusion ( 40 – 44 ); location and privacy ( 45 ); inference from spatial data ( 46 ); provenance and uncertainty in data ( 47 ); teaching practices ( 48 , 49 ); and reproducibility and replicability ( 50 54 ). As we cannot give adequate attention to all topics, we highlight those that either require a unique response from GIScience or where leadership from GIScience will have broad impacts for science, academia, and society.…”
mentioning
confidence: 99%
“…In contrast, teaching social responsibility requires appreciation for the views and values of students [9]. Harvey [10] proposes that the education of GIScience and technology professionals should go beyond abstract scholarly ethics to applied approaches based on practical wisdom.…”
Section: Introductionmentioning
confidence: 99%