May 232012
 

I am working on a similar project to the PIAS project completed late last year. The report from the project is available (here).  And have fun with the prototype…

Prototype PIAS

The Internet is recognised as a vital component of our political information systems.  Although extensively used by governments and civil society groups, its effects upon political processes; particularly deliberative political processes, currently remains relatively unknown.  Emerging research suggests that the Internet’s capacity to easily produce information has also led to data overload, undermining its deliberative potential.  With the advent of the National Broadband Network the ‘data deluge’ promises to intensify increasing the need for political information—in its various guises—to be delivered in much more meaningful ways.[1] This is especially important for younger audiences who are increasingly abandoning broadcast media in favour of online political information[2].

This project is an iterative study and design of an online ‘Political Issues Analysis System’ (PIAS) to assist users’ research and analyse political issues. It will deliver information about important political topics (ie. environmental issues, socio-economic issues, immigration, government policy etc.) using important data sources within a coherent ‘deliberative’ framework.  It will evaluate the needs of users to comprehend political issues through the application of a number of semantic indexing and data matching tools and design a prototype system.  It will do this in part through five public workshops using the University of Melbourne’s Usability Lab; each workshop focussing on a particular issue utilising particular tools and methods.[3] It will in tandem uncover recommendations to assist in the design of a unique software tool that fosters user-driven processes to effectively filter and visualise online political information obtained from government data-sets (partly within the ‘Government 2.0’ policy framework), the media, NGOs, historical data, and other user-generated online sources; (blogs, video etc).

The outputs of the research will be a working prototype as well as a report documenting the research outcomes with a series of recommendations for further research. This project may lead to the first major study of online deliberative processes within Australia; competitive within the ARC’s Linkage or Discovery scheme. The work will be of benefit to governments, community groups and other major producers of political sites and the users of such sites. The project is within IBES’s Social Infrastructures and Community theme and in particular, adheres to IBES’s and VeRSI’s shared aspirations ‘to make existing and available data more accessible’. In summary the broad aims of the project are:

  • To explore the evolving applications of online political information tools in an Australian and International context (especially in the analysis of broadband-enabled video and audio)
  • To examine deliberative processes with a number of stakeholder groups using semantic indexing methods and various communication tools at the University’s IDEA Lab.
  • To build, test and provide further recommendations for a ‘Political Issues Analysis System’ (PIAS)

Through these processes we address the following research questions:

  • How can we better understand online deliberation in the international and Australian context and what tools need to be developed to assist this?
  • How can we better design deliberative ‘ideas’ using data and online analysis tools that will involve people in a meaningful and inclusive way in consequential goal-orientated political processes?

 Approach and Outcomes:

The combination of theoretical groundwork, empirical study, and the design and implementation of the PIAS, will make an important contribution to the emerging body of research on the nature of political information on the Internet and in particular, the use of government data within it. Of chief significance is that the research will make explicit and open up to critical analysis the dichotomy between the availability of government and other data sources and effective online deliberative design. By consciously foregrounding information abundance as a condition of the present ‘information revolution’—through a unique fusion of political theory with semantic analysis and clustering tools—new perspectives will emerge and fresh research areas in design will open up.

The approach, then, is both innovative and unique because it combines the theoretical sophistication of Politics and Media Studies with the technical proficiency of Humanities Computing, eDemocracy, and Information Systems to expose important issues of online political information to critique in ways that were previously unavailable. [4] The work will open up theoretical and technological pathways towards a more genuinely identifiable (and sustainable) online political engagement and democratic structuring.



[1]One of the first major agencies to coin the term the ‘Data Deluge’ was the UK’s JISC (Joint Information Systems Committee):  Briefing Paper, Data Deluge: Preparing for the Explosion in Data, 1 November, 2004  <http://www.jisc.ac.uk/publications/briefingpapers/2004/pub_datadeluge.aspx> (Accessed 14 May, 2010).

[2] See: Clare Kurmond, Readership Decline Continues for Papers, Sydney Morning Herald, Sydney, 14 Mat, 2010

< http://www.smh.com.au/business/media-and-marketing/readership-decline-continues-for-papers-20100513-v1tk.html> (Accessed 14 May, 2010).

[3]Interaction Design Evaluation Analysis (IDEA), Department of Information Systems, University of Melbourne,

< http://disweb.dis.unimelb.edu.au/research/interactiondesign//usability_lab.html> (Accessed 14 May 2010).

[4] Carson, L ‘Avoiding ghettos of like-minded people: Random selection and organisational collaboration’ in S. Schuman, (ed) Creating a Culture of Collaboration, ed. Jossey Bass/Wiley.pp.418-423.

 

Apr 232012
 

I have been thinking a little more about this the relationship between ‘eResearch’ and the ‘Digital Humanities’ of late; partly because it is the subject of my talk at the Digital Humanities conference in Hamburg in July, and I want to do justice to what I see as a very important topic that hasn’t been particularly well handled in the past.

There are certain unique challenges in Australia in that the eResearch agenda is quite established but the digital humanities aren’t.  And this has caused quite a lot of conflict in the past in that many in the humanities have seen themselves as being locked out of the eResearch agenda by Science and many in eResearch have viewed the humanities as high-risk and being ill-prepared to lead large infrastructural developments in their disciplines.

There is perhaps some truth in both these assertions, but I do see a way forward.  eResearch is largely an infrastructural movement (largely led by science) and thus often lacks a theoretical base and set of arguments to convincingly communicate its worth within humanities research. But if there is a theoretical base or conceptual core to the eResearch agenda; then is it ‘data’: data management, data re-use, and data interoperability.  But there is a problem here in that the data collected by agencies within the eResearch agenda is often only collected and not much else. Data is an idea (not a ‘thing’) and ideas can never speak for themselves; ideas (data) must be attached to the arguments in scholarly research (humanities research is interpretive, not positivist).

This is where the digital humanities can lead. If eResearch is building a ‘data commons’ (ie. through agencies such as the Australian National Data Service), then the digital humanities are building a ‘methodological commons’.  A method is a vital component of the research process and if we develop lots of methods, we will be able to use lots of data.  So the digital humanities needs to be strengthened to rise to the challenges otherwise we have lots of data (and lots of ideas) with no heads to put them in.  And if data doesn’t have a head then the data doesn’t actually exist (ie. data is interpretative and doesn’t really exist outside of that interpretation). And yes, I am not such a relativist to believe that there is not a world outside of interpretation, but data is not ‘of this world’ it is merely someone’s interpretation of the world.

A 'methodological commons' developed by Professor Willard McCarty et.al

 

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