PhD Studentship – How interaction design and mobile mapping influence participation in Citizen Science?

Geographic and scientific information created by amateur citizens, represents a shift from authoritative data towards information generated by the general public through collaboration.   The increasing emergence of such data has been brought about by the advent of Web 2.0 technologies, and mirrors other information sharing activities such as Wikipedia and Flickr.  Such activity has also contributed towards the emergence of citizen science where the general public not only collect scientific data (such as noise or pollution information) but also participate in its processing and interpretation, benefitting as a group from the resulting output.  Much of this information is geographic in nature and can be communicated to the participants  through maps and geographic visualisations.

The PhD forms part of, and will be contextualised by, the European Union FP7 project everyAware.  This project will integrate digital technologies and theoretical analytical techniques to collect both physical  measurements and subjective opinions about environmental conditions – such as pollution measurements for cyclists alongside their impressions of the environment – using crowd-sourcing techniques on mobile devices (such as Android devices or iPhone – for example, see www.noisetube.net).  The data, collected through four case study sites in the UK and Europe, will be analysed and user-oriented results fed back to the end users.  A crucial challenge for this project is the seamless integration of participatory sensing with subjective opinions, allowing the investigation into the opinion dynamics mechanisms taking place in the communities.   Within this project, UCL team is responsible for the building of a set of tools that will enable citizens to integrate live, personalised environmental information in their behavioral choices and orientations. The research will investigate, both theoretically and empirically, the drivers of shifts in public opinion, with subsequent changes in individual behaviour, by means of targeted environmental knowledge and information dissemination.

More specifically, the PhD will examine two aspects of citizen science:

• Whether factors such as human-computer software interface design, interaction processes, access to maps of the resulting scientific data and associated qualitative information can be used to recruit people to citizen science projects.
• Can these concepts be used to retain participants and encourage additional, more regular, ongoing and repeated contributions to such activities.

Given the technical nature of the project, we expect that the candidate will have a strong background in programming, preferably including experience of application development for mobile devices.   The candidate should also hold an MSc. in Computer Science, Geographical Information Systems, Human-Computer Interaction or other related disciplines.  An interest in interaction and usability, in particular looking at the perspective of non-expert users, would be an asset.    This position is open to all European Union Citizens.  The stipend will be at least £16,500 (tax-free).  Additionally, PhD tuition fees will be paid for by the everyAware project. Some travel may be required to everyAware Case Study locations in the UK and Europe.

To apply:

Please send a CV and a personal statement explaining your interest in citizen science, usability and geographic information, why you are interested in the project and how you would approach the development of a mobile application for everyAware, with examples of previous software development to me at m.haklay@ucl.ac.uk

Application Closing Date: 1st May 2011

Geographical Citizen Science

The London Citizen Cyberscience Summit in early September was a stimulating event, which brought together a group of people with an interest in this area. A report from the event, with a very good description of the presentations, including a reflection piece, is available on the ‘Strange Attractor’ blog.

During the summit, I discussed the aspects of ‘Extreme’ Citizen Science, where we move from usual science to participatory research. The presentation was partly based on a paper that I wrote and that I presented during the workshop on the value of Volunteered Geographical Information in advancing science, which was run as part of the GIScience 2010 conference towards the middle of September. Details about the workshop are available on the workshop’s website including a set of interesting position papers.

The presentation below covers the topics that I discussed in both workshops. Here, I provide a brief synopsis for the presentation, as it is somewhat different from the paper.

In the talk, I started by highlighting that by using different terminologies we can notice different facets of the practice of crowd data collection (VGI within the GIScience community, crowdsourcing, participatory mapping …).

The first way in which we can understand this information is in the context of Web 2.0 applications. These applications can be non-spatial (such as Wikipedia or Twitter), or implicitly spatial (such as Flickr – you need to be in a location before you can capture a photograph), or explicitly spatial , in applications that are about collecting geographical information – for example OpenStreetMap. When looking at VGI from the perspective of Web 2.0 it’s possible to identify the specific reasons that it emerged and how other similar applications influence its structure and practices.

The second way to view this information is as part of geographical information produced by companies who need mapping information (such as Google or TomTom). In this case, you notice that it’s about reducing the costs of labour and the need for active or passive involvement of the person who carries out the mapping.

The third, and arguably new way to view VGI is as part of Citizen Science. These activities have been going for a long time in ornithology and in meteorology. However, there are new forms of Citizen Science that rely on ICT – such as movement-activated cameras (slide 11 on the left) that are left near animal trails and are operated by volunteers, or a network of accelerometers that form a global earthquake monitoring network. Not all Citizen Science is spatial, and there are very effective examples, especially in the area of Citizen Cyberscience. So in this framing of VGI we can pay special attention to the collection of scientific information. Importantly, as in the case of spatial application, some volunteers become experts, such as Hanny van Arkel who has discovered a type of galaxy in Galaxy Zoo.

Slides 16-17 show the distribution of crowdsourced images, and emphasise the spatial distribution of information near population centres and tourist attractions. Slides 19-25 show the analysis of the data that was collected by OpenStreetMap volunteers and highlight bias towards highly populated and affluent areas.

Citizen Science is not just about the data collections. There are also cultural problems regarding the trustworthiness of the data, but slides 28-30 show that the data is self-improving as more volunteers engage in the process (in this case, mapping in OpenStreetMap). On that basis, I do question the assumption about trustworthiness of volunteers and the need to change the way we think about projects. There are emerging examples of such Citizen Science where the engagement of participants is at a higher level. For example, noise mapping activities that a community near London City Airport carried out (slides 34-39) which shows that people can engage in science and are well placed when there are opportunities, such as the ash cloud in April 2010, to collect ‘background’ noise. This is not possible without the help of communities.
Finally, slides 40 and 41 demonstrate that it is possible to engage non-literate users in environmental data collection.

So in summary, a limitless Citizen Science is possible – we need to create the tool for it and understand how to run such projects, as well study them.