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Call for UCGIS Research Award Nominations
UCGIS invites nominations for its 2023 Research Award. This award is given to individuals who have made a particularly outstanding research contribution to geographic information science. This may include an outstanding peer-reviewed research work, or series of works, though other modes of expression will be considered, including patents, software packages, and non-refereed publications. This award is not for lifetime achievement, but for a single contribution or a series of research works that are seminal and have significant impacts on Geographic Information Science community. Award Criteria: All researchers worldwide are eligible for the award. Current members of the Research Committee or other individuals currently holding an elected or appointed UCGIS leadership position are not eligible during their tenure with UCGIS. Nominees need not be affiliated with a UCGIS member institution. Nominators must be delegates or members of a UCGIS member institution, former Research Award winners, or a UCGIS Fellow. UCGIS particularly encourages nominations from under-represented and marginalized groups. Nomination Process To nominate a researcher for the award, please prepare the following documents:
An online nomination form will be available after December 15, 2022, at the UCGIS Awards webpage (www.ucgis.org/awards), at which the requested documents can be uploaded. The deadline to submit a nomination is March 31, 2023.
Review Process: The main criterion for choosing the awardee(s) is impacts of the research achievement on the theory and/or practice of GIScience or geographic information technology. The Research Award Committee reserves the right not to make an award in a given year. The award will be presented during the 2023 UCGIS Symposium. Past Recipients of the UCGIS Research Award: 2021 – Brian Berry, the University of Texas at Dallas – the Geographic Matrix, a predecessor of the GIS attribute table
2020 – Helena Mitasova, North Carolina State University – Development in and for Open Source GIS
2019 – Keith Clarke, University of California, Santa Barbara – the SLEUTH Land Use/Land Cover Model
2018 – Helen Couclelis, University of California, Santa Barbara – Theory and Philosophy of GIScience
2017 – Dan Griffith, University of Texas at Dallas – Spatial Statistics and Spatial Data Analysis
2016 – Serge Rey, Arizona State University – Open-Source GIS and Spatial Analysis
2015 – Harvey Miller, Ohio State University – Space-Time GIScience
2014 – Richard Church, University of California, Santa Barbara – Location Analysis
2013 – Luc Anselin, Arizona State University – Spatial Econometrics
2012 – Michael Batty, College London – Urban Complexity and Simulation
2010 – Michael Goodchild, University of California, Santa Barbara – Spatial Data Accuracy
2009 – Hanan Samet, University of Maryland – Spatial Data Structures
2008 – Mike Worboys, University of Maine – Object-Oriented Modeling
2007 – Ron Eastman, Clark University – IDRISI GIS and Image Processing Software
2006 – Frederico Fonseca, Penn State University – Ontologies for GIS
2005 – Mei-Po Kwan, Ohio State University – Space-Time Algorithms and Visualizations
2004 – David Mark, SUNY, Buffalo – Cognitive and Linguistic Aspects of Spatial Relations
2003 – Max Egenhofer, University of Maine – Mathematical Theories Underpinning GISci
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