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Personal profile

Biography

Dr Sarah Goodwin is a Lecturer with the Immersive Analytics Lab (IALab) in Monash's Faculty of IT.  She has an academic and professional background in geospatial analysis and information visualisation. Her work particularly focuses on user-centred visualisation design.

Sarah received her PhD from the giCentre, City University London in 2015 where her research focused on visualisation for energy analysts and future smart home analytics. The work evolved into a framework and design guidelines for managing the effects of scale and local geographical variation in multivariate analysis. 

Sarah's research also provides guidelines and recommendations for utilising creativity workshops in visualisation design studies. Along with Energy Analysts, Sarah has worked closely with domain experts in different fields, including Epidemiologists and Spatial Modellers from Peter Doherty Institute, Melbourne University and Queensland University of Technology (2016-2017) to explore disease model and uncertainty visualisation for different user groups, as well as Constraint Programmers, within Monash's Optimisation Research Group (2015-2016), to explore visual profiling solutions for combinatorial optimisation problems. This work formed part of a 15 month Research Fellow position with the IALab. Sarah has since worked as a Lecturer at RMIT within the Geospatial Science Department, teaching Cartography, Visualisaton and Scientific Skills and Communication. 

She is particularly interested in visualisation and visual analytics for the energy sector. She is working with Monash's Energy Materials and Systems Institute (MEMSI) to explore many visualisation opportunities.

Research interests

  • Infovis Design Studies and Methodologies
  • Creativity Techniques and Workshops
  • Geographical Information Visualisation
  • Spatial Temporal Visual Analytics
  • Human Computer Interaction
  • Multidimensional Data Visualisation
  • Geodemographics
  • Uncertainty Visualisation
  • Energy, Smart and Micro Grid Visualisation
  • Movement and Flow Data Visualisation
  • City and Urban Data Visualisation

Keywords

  • Visualization
  • Analytics and big data
  • Energy
  • Computer Graphics
  • Smart grid
  • HCI
  • Smart Cities
  • Geostatistics
  • GIS
  • Spatial temporal statistics
  • Spatial cognition
  • Creativity

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Research Output 2012 2018

  • 6 Article
  • 1 Conference Paper

A Framework for Creative Visualization-Opportunities Workshops

Kerzner, E., Goodwin, S., Dykes, J., Jones, S. & Meyer, M. 19 Aug 2018 (Accepted/In press) In : IEEE Transactions on Visualization and Computer Graphics. 25, 1, 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Many-to-many geographically-embedded flow visualisation: An evaluation

Yang, Y., Dwyer, T. G., Goodwin, S. & Marriott, K. Jan 2017 In : IEEE Transactions on Visualization and Computer Graphics. 23, 1, p. 411-420 10 p., 7539669

Research output: Contribution to journalArticleResearchpeer-review

Visual encoding of dissimilarity data via topology-preserving map deformation

Bouts, Q. W., Dwyer, T., Dykes, J., Speckmann, B., Goodwin, S., Riche, N. H., Carpendale, S. & Liebman, A. 1 Sep 2016 In : IEEE Transactions on Visualization and Computer Graphics. 22, 9, p. 2200-2213 14 p., 7328332

Research output: Contribution to journalArticleResearchpeer-review

Visualizing Multiple Variables Across Scale and Geography

Goodwin, S., Dykes, J., Slingsby, A. & Turkay, C. 31 Jan 2016 In : IEEE Transactions on Visualization and Computer Graphics. 22, 1, p. 599-608 10 p., 7192660

Research output: Contribution to journalArticleResearchpeer-review