Project Description


"This blog is updated by the JISC funded G3 Project (#jisc3g) team. We are building an framework for teaching and communicating relevant geographic concepts and data to learners from outside the world of geography and GIS. We think this blog will be of particular interest to those working or teaching in HE and FE and those interested in teaching and learning and e-learning."

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Sunday, 27 February 2011

Project Plan Post 5 of 7 - Project Team, Relationships and End-User Engagement

If you've been reading this blog so far, you've hopefully now got some ideas about the JISC G3 project (if not, please let us know!). So, the next post in this series is the 'who we are' post. However, a far more important issue before we get to that is 'who we hope you might be' - in other words, who makes up the community for the project?

There are two main communities for the project - firstly, a community of end users. You will typically be students, researchers or academics in departments such as archaeology, anthropology, computer science, health research or medicine, biology, environmental science and so forth. You will probably have used a web map (e.g. a Google Map) at some point, and may have heard of a Geographical Information System but think that the software is very complicated and that you can't use your data on a map. We hope that the tools developed by this project will give you some ideas about GIS and how you could use it, and make it less scary. We'd love to hear from you with any ideas as to how to do this and how you think you could use maps in your work.

The second community we hope to form is a group of GIS developers who can take our tools and add scenarios and expert information beyond the life of the project. These people will know what a GIS is, and also have web development and database skills. The will, perhaps, make use of the tools we develop for their own teaching, and will also add additional use cases and scenarios to the project.


And finally, who are we? We are a team of four people based at UCL and the University of Portsmouth. Our skills cover GIS, Human-Computer Interaction and Web Development and we are all involved in GIS teaching. In alphabetical order:

Claire Ellul used to be a GIS consultant and is now a Lecturer in GIS at UCL, specialising in spatial databases and web and mobile GIS. She was responsible for the technical development of the Community Maps project, and will oversee technical issues on JISCG3. Claire is Principal Investigator on the project.





Kate Jones is a Lecturer in Geography at the University of Portsmouth. She specialises in Usability in GIS and GIS and Health. Kate is responsbile for the development of the use-cases/scenarios, making sure we understand our users on the JISCG3 project. Kate is Co-investogator on the project.






Muki Haklay is a Senior Lecturer in GIS at UCL, specialising in Human Computer Interaction (HCI) and Usability in GIS as well as having extensive research expertise in Citizen Science and Community engagement. He will provide HCI expertise to the project.





Patrick Weber is a Research Fellow in GIS at UCL. He specialises in spatial and location-based analysis but also has extensive technical expertise with open source GIS, and will be responsible for the technical development of the JISCG3 project.

2 comments:

  1. You want to know who I am?!

    I'm a techy geek that noticed his love for geography after, and through, getting involved with OpenStreetMap. It's strange, many of us come from a professional GIS background. Are we doing all this the right way? the best way?

    I'm also Greg the PEG. http://geco.blogs.edina.ac.uk/2011/04/01/greg-the-peg/

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  2. I was grateful of a year abroad in my Computer Science studies allowed me to go out of the department and take an 'Intro to GIS' class. Projections, datums, data quality, precision & accuracy (not the same), there was a lot to learn.

    I think it was important to learn that you should remember where your data comes from (how it was collected etc) and that you can make the raster pixel size smaller but that only makes it *look* like better data. You make the raster pixel size bigger but if you then make it smaller again, that's not the same as the original data.

    Being a computer geek I knew the difference between raster and vector, but I think others will have to grasp this understanding.

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