Abstract
The paper illustrates the results of a scenario analysis exercise for theevolution and impacts of location and sensor technologies in the 2020s. The paper introduces real-time automatic location and identification and describes the scenario approach which aims at the identification of drivers, trends and scenarios for location awareness in the medium term. Based on the input of scientists and scholars in various disciplines, the paper provides examples of drivers and trends and describes the four scenarios which were identified in the study. They illustrate plausible futures where location and identification are far more ubiquitous than now, but which underline different evolutions of technologies and their adoption, ranging from enthusiastic adoption to resistance and problematic implementations. It elaborates on the meaning of the scenarios and on the main conclusions of the study, as well as on the implications for research and science.
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References
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Beinat, E., Steenbruggen, J. (2009). Location Awareness 2020: Addressing Auto-identification and Location in the 2020s. In: Scholten, H.J., van de Velde, R., van Manen, N. (eds) Geospatial Technology and the Role of Location in Science. GeoJournal Library, vol 96. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2620-0_3
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DOI: https://doi.org/10.1007/978-90-481-2620-0_3
Publisher Name: Springer, Dordrecht
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