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Featured researches published by Muki Haklay.


In: Sui, D and Elwood, S and Goodchild, M, (eds.) Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. (pp. 105-122). Springer Netherlands: Dordrecht, Netherlands. (2013) | 2013

Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation

Muki Haklay

Within volunteered geographic information (VGI), citizen science stands out as a class of activities that require special attention and analysis. Citizen science is likely to be the longest running of VGI activities, with some projects showing continuous effort over a century. In addition, many projects are characterised by a genuine element of volunteering and contribution of information for the benefit of human knowledge and science. They are also tasks where data quality and uncertainty come to the fore when evaluating the validity of the results. This chapter provides an overview of citizen science in the context of VGI – hence the focus on geographic citizen science. This chapter highlights the historical context of citizen science and its more recent incarnation. It also covers some of the cultural and conceptual challenges that citizen science faces and the resulting limitation on the level of engagement. By drawing parallels with the Participatory Geographic Information Systems (PGIS) literature, the chapter offers a framework for participation in citizen science and concludes with the suggestion that a more participatory mode of citizen science is possible.


Transactions in Gis | 2006

Requirements for topology in 3D GIS

Claire Ellul; Muki Haklay

Topology and its various benefits are well understood within the context of 2D Geographical Information Systems. However, requirements in three-dimensional (3D) applications have yet to be defined, with factors such as lack of users’ familiarity with the potential of such systems impeding this process. In this paper, we identify and review a number of requirements for topology in 3D applications. The review utilises existing topological frameworks and data models as a starting point. Three key areas were studied for the purposes of requirements identification, namely existing 2D topological systems, requirements for visualisation in 3D and requirements for 3D analysis supported by topology. This was followed by analysis of application areas such as earth sciences and urban modelling which are traditionally associated with GIS, as well as others including medical, biological and chemical science. Requirements for topological functionality in 3D were then grouped and categorised. The paper concludes by suggesting that these requirements can be used as a basis for the implementation of topology in 3D. It is the aim of this review to serve as a focus for further discussion and identification of additional applications that would benefit from 3D topology.


Applied Ergonomics | 2013

Usability of Geographic Information: Current challenges and future directions

Michael Brown; Sarah Sharples; Jenny Harding; Christopher J. Parker; Nick Bearman; Martin Maguire; David Forrest; Muki Haklay; Mike Jackson

The use of Geographic Information or GI, has grown rapidly in recent years. Previous research has identified the importance of usability and user centred design in enabling the proliferation and exploitation of GI. However, the design and development of usable GI is not simply a matter of applying the tried and tested usability methods that have been developed for software and web design. Dealing with data and specifically GI brings with it a number of issues that change the way usability and user centred design can be applied. This paper describes the outcomes of a workshop held in March 2010 exploring the core issues relating to GI usability. The workshop brought together an international group of twenty experts in both human factors and GI, from a wide range of academic and industrial backgrounds. These experts considered three key issues, the stakeholders in GI, key challenges applying usability to GI and the usability methods that can be successfully applied to GI. The result of this workshop was to identify some areas for future research, such as the production of meaningful metadata and the implications of blurring of the line between data producers and data consumers.


IEEE Pervasive Computing | 2014

Taking Participatory Citizen Science to Extremes

Matthias Stevens; Michalis Vitos; Julia Altenbuchner; Gillian Conquest; Jerome Lewis; Muki Haklay

University College Londons Extreme Citizen Science research group (UCL ExCiteS) is experimenting with ways to incorporate the most marginalized communities into participatory citizen science activities through which they can share their indigenous knowledge. The group works with communities at the extremes of the globalized world--both because of nonliteracy and the remote or forbidding environments they inhabit. These groups are the gatekeepers of some key environments on which the future health of the planet depend--from tropical forests to Arctic sea-ice. This article presents the methodologies and tools the group is developing to give these people a voice. This article is part of a special issue on pervasive analytics and citizen science.


Big Data & Society | 2017

Algorithmic governance: Developing a research agenda through the power of collective intelligence

John Morison; Michael Hogan; Shankar Kalpana; Chris Noone; Burkhard Schafer; Rónán Kennedy; Su-ming Khoo; Muki Haklay; Anthony Behan; Niall O'Brolchain; Maria Helen Murphy; Heike Felzmann; Aisling de Paor; John Danaher

We are living in an algorithmic age where mathematics and computer science are coming together in powerful new ways to influence, shape and guide our behaviour and the governance of our societies. As these algorithmic governance structures proliferate, it is vital that we ensure their effectiveness and legitimacy. That is, we need to ensure that they are an effective means for achieving a legitimate policy goal that are also procedurally fair, open and unbiased. But how can we ensure that algorithmic governance structures are both? This article shares the results of a collective intelligence workshop that addressed exactly this question. The workshop brought together a multidisciplinary group of scholars to consider (a) barriers to legitimate and effective algorithmic governance and (b) the research methods needed to address the nature and impact of specific barriers. An interactive management workshop technique was used to harness the collective intelligence of this multidisciplinary group. This method enabled participants to produce a framework and research agenda for those who are concerned about algorithmic governance. We outline this research agenda below, providing a detailed map of key research themes, questions and methods that our workshop felt ought to be pursued. This builds upon existing work on research agendas for critical algorithm studies in a unique way through the method of collective intelligence.


human factors in computing systems | 2011

Geographic human-computer interaction

Brent J. Hecht; Johannes Schöning; Muki Haklay; Licia Capra; Afra J. Mashhadi; Loren G. Terveen; Mei Po Kwan

Researchers and practitioners in human-computer interaction are increasingly taking geographic approaches to their work. Whether designing novel location-based systems, developing natural user interfaces for maps, or exploring online interactions over space and time, HCI is discovering that geographic questions, methods, and use cases are becoming integral to our field. Unfortunately, to our knowledge, there have been no direct efforts to unite members of the community exploring geographic HCI. The goal of this forum is to bring together researchers from a variety of areas to provide a summary of what has been done thus far and to discuss options for developing a more formal geographic HCI community. We will also highlight the troublesome lack of communication between scholars in geography and HCI and the opportunities that will result from increased collaboration between the two fields.


International Journal of Geographical Information Science | 2011

Trust in Web GIS: the role of the trustee attributes in the design of trustworthy Web GIS applications

Artemis Skarlatidou; Muki Haklay; Tao Cheng

Since the introduction of Xerox PARC Map Viewer, there is a high growth in the number of Web GIS (Geographical Information System) applications for public use in different contexts. These applications instruct, advise and provide the tools for spatial analysis to their users, and the people who use them depend or rely on these systems. Many of these users are non-experts who have no GIS expertise and a limited understanding of spatial data handling. These inherent characteristics of non-expert interaction establish risk and uncertainty, which are further increased due to the complexity of Web GIS interfaces. These issues of uncertainty, risk perception and dependence are all trust-related aspects. Online trust has been repeatedly identified as a major concept for online information systems and its value recognised as it influences the intentions to use and the acceptance of online systems and the overall user experience. However, there is a very limited understanding as to exactly how trust is constructed when people, especially non-experts, interact with Web GIS. To improve knowledge in this domain, this article explores the theoretical foundations on how trust can be investigated in this context. Trust studies (mainly from the e-commerce domain) suggest that a trust-oriented interface design may improve the trustworthiness of online systems, and such attention can be given to Web GIS interfaces. Such studies are reviewed and their applicability is considered in the Web GIS context, taking into consideration their special characteristics. A case study is used to discuss how some features may potentially influence the trustworthiness of Web GIS applications. This article concludes by suggesting future research directions for the implementation of a holistic approach, which is necessary to investigate trust in this context.


Cartographic Journal | 2016

A Shared Perspective for PGIS and VGI

J.J. Verplanke; Michael K. McCall; Claudia Uberhuaga; Giacomo Rambaldi; Muki Haklay

This paper reviews persistent principles of participation processes. On the basis of a review of recent interrogations of the (Public) Participatory Geographic Information Systems (P)PGIS and Volunteered Geographic Information (VGI) approaches, a summary of five prevailing principles in participatory spatial information handling is presented. We investigate these five principles that are common to (P)PGIS and VGI on the basis of a framework of two dimensions that govern the participatory use of spatial information from the perspective of people and society. This framework is presented as a shared perspective of (P)PGIS and VGI and illustrates that, although both share many of these same principles, the ways in which these principles are approached are highly diverse. The paper ends with a future outlook in which we discuss the inter-connected memes of potential technological futures, the signification of localness in ‘local spatial knowledge’, and the ramifications of ethical tenets by which PGIS and VGI can strengthen each other as two sides of the same coin.


acm symposium on computing and development | 2013

Introducing Sapelli: a mobile data collection platform for non-literate users

Matthias Stevens; Michalis Vitos; Julia Altenbuchner; Gillian Conquest; Jerome Lewis; Muki Haklay

With this poster we announce the imminent release of Sapelli, a new mobile data collection and sharing platform designed with a particular focus on non-literate and illiterate users.


Scientific Reports | 2016

Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour

Elizabeth H. Boakes; Gianfranco Gliozzo; Valentine Seymour; Martin Harvey; Chloë Smith; David B. Roy; Muki Haklay

The often opportunistic nature of biological recording via citizen science leads to taxonomic, spatial and temporal biases which add uncertainty to biodiversity estimates. However, such biases may also give valuable insight into volunteers’ recording behaviour. Using Greater London as a case-study we examined the composition of three citizen science datasets – from Greenspace Information for Greater London CIC, iSpot and iRecord - with respect to recorder contribution and spatial and taxonomic biases, i.e. when, where and what volunteers record. We found most volunteers contributed few records and were active for just one day. Each dataset had its own taxonomic and spatial signature suggesting that volunteers’ personal recording preferences may attract them towards particular schemes. There were also patterns across datasets: species’ abundance and ease of identification were positively associated with number of records, as was plant height. We found clear hotspots of recording activity, the 10 most popular sites containing open water. We note that biases are accrued as part of the recording process (e.g. species’ detectability) as well as from volunteer preferences. An increased understanding of volunteer behaviour gained from analysing the composition of records could thus enhance the fit between volunteers’ interests and the needs of scientific projects.

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Jerome Lewis

University College London

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Michalis Vitos

University College London

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Claire Ellul

University College London

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Patrick Rickles

University College London

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Sarah Bell

University College London

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Tao Cheng

University College London

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