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2 PhD studentships, Extreme Citizen Science group, UCL

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UCL_ExCiteS University College London ExCiteS program http://www.ucl.ac.uk/excites
 

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See below for details on one studentship on developing data collection tools and one on identifying biases in crowdsourced geographic information. NOTE DIFFERENT DEADLINES.

PhD Studentship in Extreme Citizen Science – development of data collection tools with non-literate participants

Deadline 21st July 2017

Applications are invited for one PhD studentship as part of the European Research Council (ERC) funded project named ECSAnVis (Extreme Citizen Science: Analysis & Visualisation) aimed at a developer. Citizen Science is the participation of members of the public in a scientific project, from shaping the question, to collecting the data, analysing it and using the knowledge that emerges from it. The challenge of Extreme Citizen Science is to enable any community, regardless of literacy or education, to initiate, run, and use the result of a local citizen science activity, so they can be empowered to address and solve issues that concern them. Over the past 4 years, the Extreme Citizen Science (ExCiteS) research group at UCL has demonstrated that non-literate people and those with limited technical literacy can participate in formulating research questions and collecting the data that is important to them. Extreme Citizen Science: Analysis and Visualisation (ECSAnVis) takes the next ambitious step of developing geographical analysis and visualisation tools that can be used, successfully, by people with limited literacy, in a culturally appropriate way.

For more information on ExCiteS and ECSAnVis, please visit here and here.
For more information about the studentship and details how to apply, please see here.

PhD studentship in the Extreme Citizen Science group – identifying systematic biases in crowd-sourced geographic information

Deadline 28th July 2017

UCL Department of Geography and the Ordnance Survey are inviting applications for a PhD studentship to explore the internal systematic biases in crowd-sourced geographic information datasets (also known as Volunteered Geographic Information – VGI).

The studentship provides an exciting opportunity for a student to work with Ordnance Survey on understanding the use of crowd-sourced geographic information, and potentially contributing to the use of such data sources by national mapping agencies. Ordnance Survey is an active partner in its sponsored research and offers students opportunities to work on-site and to contribute to workshops and innovation within the business. In addition, the student will be part of the Extreme Citizen Science group at UCL, which is one of the leading research groups in the area of crowdsourced geographic information and the study thereof.

For more information about the project, the studentship and details how to apply, please see here.

  • Posting Date: 2 weeks ago