Research Officer post: Big Data in Survey Research

We are looking to hire a Research Officer to use Big Data in survey research undertaken in collaboration with the Centre for Comparative Social Surveys (CCSS) at City University London. The post will be based in CCSS in the School of Social Sciences and will involve working closely with the giCentre. CCSS undertake the European Social Survey (ESS), which measures, monitors and interprets changing social attitudes in Europe and develops methods for cross-national research. The giCentre develop analytical visual interfaces to make sense of data, often with a spatial emphasis.

The post is central to an 18-month ESRC-funded research project - Using multi-level multi-source auxiliary data to investigate non-response bias in UK general social surveys, through which CCSS and giCentre will explore the extent to which the predictive power of Big Data can be used to address poor survey response rates. The Research Officer will be required to work on all parts of the project, including scoping suitable auxiliary data sources, conducting non-response analysis, producing non-response weights, conducting geographically weighted spatial analysis and using data visualisation to derive and present results. 

Further details and online application.   

Research Associate Position in Visual Analytics

The giCentre is recruiting a Research Associate to work on the EU funded Project VALCRI.

The project will use novel modes of interaction to develop visual analytics tools that support criminal intelligence analysts in making sense of the masses of data that they use to generate evidence. We will be designing and building visualization tools to provide access to these data, detect patterns in them and support analysts in using them to develop arguments, threads of evidence and stories.

VALCRI is a collaboration between 18 partners across Europe, with coordination at Middlesex University.  This is a full-time post with a fixed-term until December 2017. Further details and application.

PacificVis best paper award

Joint work between TU Eindhoven and the giCentre has won Best Paper at IEEE PacificVis in Yokohama, Japan. The paper presents a new way of schematising maps using curved edges that preserve the relative area of features.

The technique offers new design possibilities for geovisualization  that improve upon traditional automated simplification routines.