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Visualization Environments

Show and Tell

Problems and Solutions

Pyramid Exercise
  Table 1
  Table 2
  Table 3
  Table 4


Visualisation in the Social Sciences Workshop

Towards a Research Agenda for Social Science Visualisation

TABLE 3: Sixty-seven issues identified by the twenty-four participants

A Research into user experiences, appropriations…
A Support to encourage the development of visualisation in qualitative social science.
A Research into the visualisation of text,
A Research into the potential of visualisation in linking qualitative and quantitative research
A Communication: clear identification of visualisation approach and communication of techniques
A Development and incorporation of techniques at the start of research projects
A Innovative use of technology
A Repository for visualisation examples and tools.
A Promoting inter disciplinary communication
A Evaluation of the effectiveness of visualisation
A Storyboarding websites
A Organizing web data without anarchy
A Non hierarchical data coding
AProblem visualisation tools
A Examples of good and bad practice
A Visualisation of highly multivariate data
A Schematic visualisation: one ink colour and so on
A Chernoff face research centre(?)
A Fund example projects in history and sociology to demonstrate actual usefulness
A Name and shame examples of visualisation
B 'Lightweight' mapping
B Visualisation of spatial statistics
B Visualisation of networks, both physical and conceptual especially flow data, text, etc
B Visualisation of spatially varying parameters
B Visualisation of large interaction matrices
B Visualisation of hypervariate spatial data
B Persuade the rest of social science to use visualisation and not Excel
B Collaborative visualisation
B Visualisation on the web
B Support for navigation through large multi-dimensional data sets
B Evaluation of visualisation tools and techniques
B The development and assessment of collaborative visualisation techniques
BMaking visualisation technologies more accessible to the social sciences
B Assessment and evaluation of the effectiveness of the visualisation process
B Visualisation of qualitative information
B Techniques for the visualisation of temporal aspects of spatial data
B Perceptual aspects of visualisation
B Network visualisation
B Dynamic visualisation of social phenomena
B Development of customized visualisation tools for specific groups of end users
B Tools for public or collaborative visualisation
BAssessing the effectiveness of visualisation methods
B Visualisation of complex multivariate data sets
C Experimental methods to assess the effectiveness of visualisation
C Development of effective strategies for visualisation of multi-node flows
C Generic and general methods for structuring, linking and navigating images and texts
C Experimental evaluation of how people use visualisation
C Case studies development of use of tools in different social sciences
C Postgraduate training courses in visualisation
C Use of images as qualitative data in research
C Visualising networks in qualitative data (e.g. NUDIST)
C Evaluative work in the use of visualisation
C Trying to spread visualisation wider within the social sciences
C Visualisation officer for social sciences?
C Person flow visualisation
C The role of VR is visualising spatial data
C Visualisation of individual level population dynamics
C Visualisation of qualitative data
C 'Collapsing the MacEachren cube'
C Development of methods to visualize hypervariate data
C Development of ways to assess visualisation methods
C Development of local statistics approach
C Development of accessible tools for social science visualisation
C Classification of psychological concepts in health care research
C Information science tools in visualisation to support health care assessment programmes.
C Research into existing manual/electronic forms of data capture

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