Research Assistant - Equitable Data Visualisation

Details


1097623


University of Warwick


01/07/2025


Other - See Job


13 hours per week


Not Applicable

Pay


£16.23


£1.96

Description

Role

We are looking for a Research Assistant (RA) for the project “Can digital goods be neutral? Evaluating OpenStreetMap's equity through participatory data visualisation”, funded by the ESRC Digital Good Network and led by Carlos Cámara and Timothy Monteath. More information at https://warwick.ac.uk/cim/research/digital-good-neutrality-osm 

The RA will be responsible for the development of the data visualisations resulting from the co-design process with our partners.

The candidate should have experience in producing data visualisations, working with geospatial data and a keen interest in equity, feminism and/or intersectionality. Knowledge of OpenStreetMap is not required but will be desirable.

If you have any enquires about the role, please contact: timothy.monteath@warwick.ac.uk

Duties and responsibilities

The aim of this job is to assist in the technical aspects of creating data visualisations that address the project goals, specifically, the appointed candidate would:

  • Develop data visualisations following decisions from the co-design process.
  • Extract and process the required data from OpenStreetMap resources (APIs, Forum, Wiki, Planet file)
  • Recording steps taken, documenting work and organising files and documents

Skills and experience

Essential:

  • Experience in using R to produce high-quality data visualisations
  • Experience with ‘Shiny’ or coding interactive dashboards
  • Experience of using GIT
  • Experience in visualising geospatial data
  • Experience in data gathering and manipulation using computational methods
  • Excellent time management skills and initiative
  • Attention to detail
  • Ability to work in a small team and to deadlines

Desirable:

  • APIs querying for data extraction (including Java)
  • Experience in co-design or participatory methodologies
  • Experience of working with very large datasets
  • Knowledge about OpenStreetMap
  • Experience in open source software development

Location
Hybrid

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