Sarah Goodwin

Dr Sarah Goodwin is a Lecturer with the Immersive Analytics Lab (IALab).  She is interested in exploring creative visual analytic solutions for complex, multi-dimensional and geospatial data sets. 

Her research focuses on novel geospatial visualisation techniques and user-centred visualisation design methodologies. She works with Monash's Energy Material and Systems Institute (MEMSI) to explore visualisation opportunities for the energy sector. She recieved her PhD in 2015 from City, University of London, where her focus was on visualisation for energy analysts. She exlpored residential consumer segmentation and smart home data analysis in the UK, focusing on revealling the effects of scale and geography on multivariate analysis.  

Sarah has an academic and professional background in geospatial analysis and information visualisation, having worked for over 15 years as a GIS technician, geo-data analyst, consultant and a researcher for some of the leading research centres for spatial analysis and visualisation around the world, including the giCentre at City University in London, UK; the g2Lab at HafenCity University in Hamburg, Germany and the Geospatial Science Department at RMIT University.

Sarah's work on methodologies, focus on the use of creativity workshops in visualisation design studies with domain experts. 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.

• 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