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** apologies for cross postings** Hi, Please find below information on the group's annual prize for which we are now accepting submissions. GIScRG Prize for Best Postgraduate Dissertation or Industrial Research Paper The GIScience Research Group (GIScRG) of the RGS have established an annual prize of £100 for the best postgraduate dissertation or industry research paper on any issue relating to GIS, spatial analysis, spatial modelling or geocomputation. In both cases, we are looking for a document of approximately 10,000-15,000, which covers significant research in one or more of these areas. Dissertations should be submitted by the student's department, along with a copy of the appropriate departmental dissertation regulations. Research papers or reports should be submitted by the company where the work has taken place, with a cover letter explaining the context of the work. Confidentiality will be ensured. Please submit the work in hard copy to either Linda See or Alison Heppenstall (contact details below). Please include an email address for the student or employee. Departments/companies may not submit more than one entry. Closing date for entries is 14 Dec 2009. The Geographic Information Science Research Group (GIScRG) encourages collaborative, cross-disciplinary discussion between researchers, providers and users of digital geographic information. The objective is to promote the development and application of theory and knowledge in GI Science to the collection, processing, analysis and modelling of geographic information within digital environments such as GIS, cartography, environmental modelling, image processing and remote sensing. If you are currently considering Chartered Geographer (GIS) status, you can join the group by informing the RGS by email. For further details, contact Linda See or Alison Heppenstall. Dr Linda See/Dr Alison Heppenstall School of Geography University of Leeds Woodhouse Lane Leeds LS2 9JT Email: [log in to unmask]<mailto:[log in to unmask]>; [log in to unmask]<mailto:[log in to unmask]>