Chapter in Routledge Handbook of Environmental Justice – Participatory GIS and community-based citizen science for environmental justice action

The Routledge Handbook of Environmental Justice has been published in mid-September. This extensive book, of 670 pages is providing an extensive overview of scholarly research on environmental justice

The book was edited by three experts in the area – Ryan Holifield from the University of Wisconsin-Milwaukee, Jayajit Chakraborty from the University of Texas at El Paso, and Gordon Walker from the Lancaster Environment Centre, Lancaster University, UK. All three have affiliations that relate to Geography, and geographic and environmental information play a major part in the analysis and action regarding environmental justice.

The book holds 51 chapters that are covering the theory and practice of environmental justice – from how it is analysed and understood in different academic disciplines, to the methods that are used to demonstrate that environmental justice issues happen in a place,  and an overview of the regional and global aspects of current environmental justice struggles. The range of chapters and the knowledge of the people who write them are making this collection a useful resource for those who are studying and acting in this area (though few top authors in this field are missing, but their work is well referenced)

However, with a price tag of £139.5 for the eBook, the costs put an obstacle for those who need the information, and luckily the policy of Routledge permits sharing the chapters on personal websites.

My contribution, together with Louise Francis, is in Chapter 24 –Participatory GIS and community-based citizen science for environmental justice action. In this chapter, we provide an overview of the use of participatory GIS in environmental justice action, but in particular, a detailed explanation of the methodology that we have developed a decade ago, with contributions from Colleen Whitaker, Chris Church and other people that worked with us a the time. The methodology is now used in the activities of Mapping for Change.  The methodology supports both participatory mapping and citizen science.

As we note in the chapter “Our methodology emerged in 2007, through the London 21 Sustainability Network project ‘A Fairer, Greener London’, which aimed to give six marginalised communities the opportunity to develop their own understanding of local environmental justice issues and supporting action plans to address them. The project was integrated closely with the project ‘Mapping Change for Sustainable Communities’ which was funded as part of the UrbanBuzz scheme. Both projects were based on accessible GIS technologies and available environmental information sources.

The methodology evolved into a six-stage process that is inherently flexible and iterative – so, while the stages are presented here as a serial process, the application of the methodology for a specific case is carried out through a discussion with the local community.” The chapter provides an example for the implementation of the methodology from the work that we carried out in the Pepys Estate.

If you want to read the whole chapter (and use the methodology, you can find it here. For any other chapter in the handbook, email the authors and they will probably share a copy with you. 

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Defining principles for mobile apps and platforms development in citizen science

Core concepts of apps, platforms and portals for citizen science

In December 2016, ECSA and the Natural History Museum in Berlin organised a  workshop on analysing apps, platforms, and portals for citizen science projects. Now, the report from the workshop with an addition from a second workshop that was held in April 2017 has evolved into an open peer review paper on RIO Journal.

The workshops and the paper came to life thanks to the effort of Soledad Luna and Ulrike Sturm from the Berlin Museum.

RIO is worth noticing: is “The Research Ideas and Outcomes (RIO) journal” and what it is trying to offer is a way to publish outputs of the whole research cycle – from project proposals to data, methods, workflows, software, project reports and the rest. In our case, the workshop report is now open for comments and suggestions. I’ll be interested to see if there will be any…

The abstract reads:

Mobile apps and web-based platforms are increasingly used in citizen science projects. While extensive research has been done in multiple areas of studies, from Human-Computer Interaction to public engagement in science, we are not aware of a collection of recommendations specific for citizen science that provides support and advice for planning, design and data management of mobile apps and platforms that will assist learning from best practice and successful implementations. In two workshops, citizen science practitioners with experience in mobile application and web-platform development and implementation came together to analyse, discuss and define recommendations for the initiators of technology based citizen science projects. Many of the recommendations produced during the two workshops are applicable to non-mobile citizen science project. Therefore, we propose to closely connect the results presented here with ECSA’s Ten Principles of Citizen Science.

and the paper can be accessed here. 

Chapter in ‘Understanding Spatial Media’ on VGI & Citizen Science

77906_9781473949683[1]The book ‘Understanding Spatial Media‘ came out earlier this year. The project is the result of joint effort of the editors Rob Kitchin (NUI Maynooth, Ireland), Tracey P. Lauriault (Carleton University, Canada), and Matthew W. Wilson (University of Kentucky, USA).

The book is filling the need to review and explain what happened in the part 20 years, with the increase use of digital geographic information that then became widespread and can be considered as a media – something that Daniel Sui and Mike Goodchild noted in 2001. The book chapters are covering the underlying technologies, the sources of the data and media that are part of this area, and the implications – from smart cities to surveillance and privacy.

My contribution to this book is in a chapter that belong to the middle section – spatial data and spatial media – and that provides an introduction to Volunteered Geographic Information and Citizen Science. If you’re interested, you can read the chapter here.

Changing departments – the pros and cons of being away from home discipline(s)

Last weekend, I updated my Linkedin page to indicate that I’ve now completed the move between departments at UCL – from the Department of Civil, Environmental, and Geomatic Engineering to the Department of Geography. It’s not just me – the Extreme Citizen Science group will be now based at the Department of Geography.

With this move, I’m closing a circle of 20 years – in September 1997 I came to the Department of Geography at UCL to start my PhD studies at the Centre for Advanced Spatial Analysis (At the time, CASA was an inter-departmental centre with links to the Bartlett, Geography, and Geomatic Engineering). At the end of my PhD studies, in 2001, after four years of self-funding the PhD by working as a sysadmin in Geography, research assistant in CASA, and few other things, I was looking for opportunities to stay in London for a while.

Today, the plight of EU academics in the UK due to Brexit is a regular feature in the news. In a similar way, as a non-EU person, I had to take into account that every job that I’m applying to will require organising job permit, and consider how long it will last. This ‘silent’ part of the academic experience that was there for many people is becoming common knowledge, but that’s another story…

With that in mind, I have applied to quite a diverse range of jobs – and finding myself shortlisted at urban planning at MIT, Geography at Leicester, Geography at LSE, Geography at the Hebrew University (where I’ve done my BSc and MA), and Geomatic Engineering at UCL, in addition to management consultancy, and a GIS software company. The MIT, LSE and the commercial jobs weren’t successful, and Leicester offer came too early in the write-up process. In the end, UCL Geomatic Engineering materialised at the right time and this is where I ended.

I found myself staying at the department (including its merger with Civil and Environmental Engineering) for 15 years until it became clear that it is time to move because an incompatibility between the direction that my research evolved and the focus of the department. I did consider staying within the faculty of Engineering – some of my work is linked to computer science, and to interaction with geographical technologies which is related to Human-Computer Interaction, but it felt just as incompatible – after all, most of my work is appearing in journals and conferences that are not valued by computer scientists but by geographers. It was good to discover that my interest in moving to the Department of Geography was welcomed, and now the process is complete. So what have I learned in these 15 years of being a geographer (geographical information scientist) in a civil engineering department? and what reflections do I have about being a researcher of one discipline but having an academic position in another?

Straddling fences

Let’s start from my own position – Nadine Schuurman & Mike Goodchild interview from 1998:

NS Some of the human geographers have partially built their careers upon writing critiques of GIS. How meaningful is participation in these debates for people in GIS?
MG Quite meaningful for geographers interested in GIS. If I were advising a new graduate student on how to succeed in geography these days, my advice would be to try to straddle that fence. It wouldn’t be to come down on either side of it because you have to be able to talk to the rest of the discipline and yet you have to be able to use the technology (Schuurman 1998, emphasis added)

This matched also recommendations that I received before starting my PhD, and my own interest from previous studies in linking social aspects in the environment and society interface with GIS and technology. During my PhD, I was lucky to be linked to three areas of studies at UCL – CASA, with its focus on GIS, computer modelling and visualisation, the Environment and Society Research Unit (ESRU) in Geography, and Human-Computer Interaction (HCI) and Usability Engineering expertise in the department of Computer Science. The result was that my PhD thesis had both a technical part, as well as social-theoretical part. It also demonstrated in papers that I wrote collaboratively during the PhD – for example, a technical paper about the use of agent-based modelling, was followed by a social theoretical paper about the methodological individualism that is embedded in the models at the time.

The technical part of my academic identity was part of the reason that Geomatic Engineering accepted me, and at least at the beginning I tried to fit in – e.g. by directing my attention to technical aspects of GIS data and processing representations and supervising a PhD on 3D data storage. However, participatory aspects of GIS continue to interest me – so I seized opportunities to develop this area. For example, once I heard about OpenStreetMap, I directed my research effort towards it, or when I learned about London 21 Sustainability Network effort to create a London Green Map, I offered help and designed MSc projects to support it. Since 2007, my research became more concentrated on participatory mapping and citizen science. As a result, the work that is linked to geomatic engineering (i.e. surveying, precise measurements, photogrammetry) shrank, as well as relationships with other areas of work in the department, this eventually led to where I am now.

Considering that I have found myself as an interdisciplinary researcher in a department that is completely outside either my ‘home’ disciplines (either Geography or Computer Science), had benefits and challenges.

Benefits

The most important benefit, which eventually paid off, was the disciplinary freedom. While at the point of promotion applications, or specific evaluators for a research applications and such, I did provide a list of people who relate to my area of work (Geographic Information Science), on the day to day work I was not judged by disciplinary practices. Shortly after securing the lectureship, Paul Longley introduced me to the 3Ps – Publications, Pounds (grant money), and PhD students as criteria that you should pay attention to in terms of career development. Because of my involvement with London Technology Network, I’ve learned about the fourth P – Patents (as in wider impacts). With this insight in mind, I was aware that around me, people cannot evaluate my research on its merit so they will check these general matrices, and as long as they are there, it does not necessarily matter what I do. This freedom provided the scope to develop the combination of technology development which is embedded in social science research which I enjoy doing.

Disciplines do set which journals you should publish in, what conferences you’re expected to present in, and similar aspects of an academic career. Being outside a discipline means that I could publish sometimes in computer science (my top cited paper) and sometime in geography and urban studies (my second top cited paper). Noticeably, I don’t have a single publication in a pure geomatic engineering journal. This allowed for exploring different directions of research that if I was inside a disciplinary department, I would not necessarily be able to do.

The second important benefit was to learn how to communicate with engineers and people who do not see the research from the same perspective as you. Because I was in an engineering department, I was applying to the Engineering and Physical Science Research Council (the categorisation of my research on EPSRC website are interesting – and I know that they are not what I entered to the system!) and that meant that I needed to think about the reasons that someone who reviews my applications or judges them on a panel will see the benefits from their perspective. I had to learn how to think about structuring research applications, or submissions to REF so they are convincing and relevant to the reader – there was no point in going over the philosophy of technology reasons for researching VGI because this does not help in convincing the reader that my research is worth funding. Highlighting the technical advances and the potential for wider societal impact was more important.

Third, the position that I found myself in was pushing my interdisciplinary understanding further. Not only I had to get used to the engineering mindset and support engineering education (to a very minor extent), I also was in a position that I was doing participatory action research but within an engineering department, which made it more palatable for various researchers in the natural sciences and engineering to approach me while applying for funding. They needed a “safe” person to carry out a participatory part of a wider research project, and I guess that being based in an engineering department made it look this way.  Over the years, I had discussions if the group that I led can be considered as “social scientists” on a project, because of the departmental affiliation. I found it puzzling, but I guess that for reviewers who look less at the details of each applicant’s background, and used to look at affiliations, this worked.

Downsides

The most obvious downside of being out of a disciplinary department is the issue of resources – this was frustrating while also understandable. Many requests for resources, such as appointing a lecturer in my area, were turned down. Throughout the whole period, the activities that I was carrying out were interesting, or even one that worth highlighting at a departmental level from time to time. When it came to the hard decisions on investment and resource allocation, the activities were not part of the core mission of the department and therefore not fundable. This left me with a continual need for bootstrapping and figuring out ways to secure resources.

The second downside is a version of the imposter syndrome that I started calling  “the hypocrite syndrome”. This is the downside of the communication across disciplines (and therefore epistemologies and ontologies) that I mentioned above. It is the feeling that while what drives the research is a social theory, the process of writing an application is about dampening it and emphasising technical aspects. A good example for this is in my paper about data quality of OpenStreetMap – if you read carefully the paper, it’s fairly obvious that my main reason to carry out quality assessment is so I can have a measure that will help me to show the social justice aspect of the project. Most of the papers that cite this work take it as a paper about data quality. It was a useful way of developing my research, but it doesn’t make you feel that you have provided a holistic description of what your aims are.

A third downside is the additional effort that was required to keep in touch with the development of the discussions in your home disciplines – I frequently went to geography conferences and followed the literature on HCI and computer science, but this is not a replacement for attending regular departmental seminars or even noticing discussions during departmental meetings, that keep you up to date with the general development. In Geography, I was lucky to be on the board for a leading journal (Transactions of the Institute of British Geographers) for about 5 years, and that provided another way to keep in touch and learn about the discipline.

Overall, I don’t regret the decision to go for an engineering department. The journey was interesting, I have learned a lot through it, and have developed my academic career this way. In hindsight, it did work well. What will happen next? I don’t know – I’ll probably need to reflect in 5 years what were the impacts of joining a disciplinary department…

New paper – Exploring Engagement Characteristics and Behaviours of Environmental Volunteers

Engagement in environmental volunteering

A new paper that is based on the PhD work of Valentine Seymour is out. Valentine has been researching the patterns of volunteering in environmental projects at the organisation The Conservation Volunteers. In the paper, we draw parallels between the activities of environmental volunteers and citizen science participants. The analysis demonstrates that the patterns of participation are similar.

The paper is open access and available here

The summary of the paper is:

Environmental volunteering and environmental citizen science projects both have a pivotal role in civic participation. However, one of the common challenges is recruiting and retaining an adequate level of participant engagement to ensure the sustainability of these projects. Thus, understanding patterns of participation is fundamental to both types of projects. This study uses and builds on existing quantitative approaches used to characterise the nature of volunteer engagement in online citizen science projects, to see whether similar participatory patterns exist in offline environmental volunteering projects. The study uses activity records of environmental volunteers from a UK environmental charity “The Conservation Volunteers,” and focuses on three characteristics linked to engagement: longevity, frequency, and distance travelled. Findings show differences in engagement patterns and contributor activity between the three UK regions of Greater London, Greater Manchester, and Yorkshire. Cluster analysis revealed three main types of volunteer engagement profiles which are similar in scale across all regions, namely participants can be grouped into “One-Session,” “Short-Term,” and “Long-Term” volunteer. Of these, the “One-Session” volunteer accounted for the largest group of volunteers.

Crowdsourced: navigation & location-based services

toyosemite-mapOnce you switch the smartphone off from email and social media network, you can notice better when and how you’re crowdsourced. By this, I mean that use of applications to contribute data is sometimes clearer as the phone becomes less of communication technology and more of information technology (while most of the time it is an information and communication mixed together).

During my last year summer break, while switching off, I was able to notice three types of crowdsourcing that were happening as I was mostly using my phone for tourism:  the set of applications that I used during the period was mostly Google Maps, Waze, and Sygic for navigation (Sygic is an offline satnav app that uses local storage, especially useful as you go away from signal – as in the case of travelling to Yosemite above). I also used TripAdvisor to find restaurants or plan visits, and in a tour of Hollywood, we’ve downloaded a guided tour by “PocketGuide Audio Travel Guide”. There were also the usual searches on Google to find the locations of swimming pools, train schedule, boat tours and all the other things that you do when you’re travelling.

The first type of being crowdsourced that I knew was there but I couldn’t notice was with every action that I’ve done with the phone. Searches, visiting websites and all the other things that I’ve done as long as the phone was on. I know that they are there, but I have no idea who is collecting the traces – I can be quite certain that the phone company and Google were getting information, but I can’t tell for sure – so that’s hidden crowdsourcing.

The second type is being passively crowdsourced – I know that it happened, and I can sotosanjose-lastdayrt of guess what information is being recorded, but I didn’t need any action to make it happen. Checking the map on the way back to the airport at the end of the journey, show how geolocated images and information are being put on the map. Google Maps assume that I visited known locations, mostly commercials, along the way. It was especially funny to stay in a suburban place that happened to be the registered address of a business, and every time we went to it, Google insisted that we’re visiting the business (which doesn’t physically exist in the place). At least with this passive crowdsourcing, I am knowingly contributing information – and since I’m benefiting from the navigation guidance of Google Maps as I drive along, it is a known transaction (regardless of power relationship and fairness). screenshot_20160808-154540

the third and final type of process was active crowdsourcing. This was when I was aware of what I’m contributing, to which system, and more or less how. When I provided an image to Google Local Guides  I knew that it will be shared (I am though, hugely surprised how many times it was viewed, but I’ll write about Local Guides in a different post). I was also actively contributing to TripAdvisor about some place near Venice Beach. A certain surprise also came from Waze, which, in a day of experiencing Los Angeles famous traffic, provided me with a message that ‘I’m one of the top contributors on this route’ after 3 reports. Of course, I can’t tell if this message is real, but if 3 reports are enough to make you a top contributor, the number of reporting participants must be very low.

Few other observations: it was interesting to see how embedded is the consideration that you will be online all the time – Google Maps suggested to download a route when they had information that part of the journey will not be covered by mobile signal, but the application didn’t behave well with offline data (Sygic did). Both Waze and Google Maps behaved very erratically when I passed a blocked slip road and didn’t follow their navigation guidance. For quite a distance, they continue to suggest that I turn around and use the blocked road.

The other aspect that was very apparent is the built in methodological individualism of all these apps – even though I was only with my partner, we found the PocketGuide Audio Travel Guide awkward to use – we wanted to experience the tour (which is interesting) together. The app is just difficult to use when you try to go with other people and discuss things together. This is partially how phones are thought of, but touring is not only a solitary experience…

 

RGS-IBG 2017 – The role of expert knowledge in socio-environmental policy and decision making

Notes from two talks from the session on the role of expert knowledge. Details of the session in full are here.
The potential of citizen science to inform expert understanding: a case study of an urban river in London
Iain Cross (St Mary’s University, UK), Rob Gray (Friends of the River Crane Environment),  Joe Pecorelli (Zoological Society of London, UK)
Richard Haine (Frog Environmental, UK)
Abstract: “Increasingly, expert knowledge is becoming only one of many sources of understanding that influence environmental decision making and policy formulation. Traditional, top-down and technocratic modes of knowledge production are being challenged and, through what has been termed the ‘participatory turn’, knowledge is often co-produced among ‘experts’ and ‘non-experts’. A particularly widespread source of ‘non-expert’ knowledge is the citizen science (CS) community. CS projects can enable data to be collected over spatial or temporal scales that would be prohibitively expensive or logistically impossible for ‘expert’ data collection techniques. Whilst this data might be highly useful for policy and decision making, there can be a tension between the perceived reliability, accuracy or value of CS data compared to ‘scientifically collected’ data. This paper explores this tension in the context of an urban river CS project in London, through interviews with ‘experts’ and ‘non-experts’ from a variety of stakeholders. It highlights how significant events affecting the river environment mobilised public interest and the subsequent generation of ‘non-expert’ knowledge of the river. The paper provides an insight into how the perceived credibility and value of CS data by ‘experts’ can evolve over time, to become a significant driver of decision making. Key factors that have shaped this process include formal reporting mechanisms, partnerships with local authorities and statutory bodies, and corroboration of CS data with ‘expert’ data. The paper argues that CS blurs the traditional boundary between experts and non-experts and therefore challenges traditional definitions of ‘expert’ knowledge in environmental decision making.”
Iain Cross discussed citizen science as a source of expertise in an urban river. The situation is multiple stressors and degraded situation, ecosystems that deserve attention. They are subject to social/cultural interaction with the environment and nature. This makes it useful for citizen science – people volunteer to local groups, and also desire to do something – the intersection of volunteering and activism, there is a potential pool of local residents, and need for data. Look at the small catchment in west London ith multiple transport routes, lots of draining: urban run-off, sewage, domestic misconnections, surface water – and there are two major incidents in 2011 and 2013. The catchment partnership was created as a compensation for a major pollution incident. The £400K established a partnership that is working through the delivery of specific projects. Citizen science in three areas: water quality, riverfly monitoring, outfalls safari to identify where they are and their sources. The citizen science had a key role in the management decision. Try to identify differences between direct influence – data is used for regulation, and indirect. Examples for direct: reprioritisation of water company outfall projects (so where they dedicate resources to address them), and enforcement and additional investigations based on the data. Indirect – more reporting of water quality, empowering to understand the process a common language on what the regulator need, and exporting the model to neighbouring catchments. The research try to understand how did it became a credible source of knowledge, understand its influence and what happen in the future, through semi-structured interviews. So far there are 3 interlinked themes: early engagement with water company, a tight leadership of the project, and reliable data. Participants understand the regulatory environment , harmonisation of expert practices and reporting at conferences. In terms of project management 0 influence of certain people – and past contact and engagement with citizen science. The champions are very important – even within the regulators. The last thing is the production of good quality data – awareness of accreditation, QA process, spatial and temporal coverage attention and interpretation and reporting of data.
Future
Expert and Experiential Knowledge in Pollinator Policy: The Perspectives of Beekeepers Siobhan Maderson (Aberystwyth University, UK)
Abstract: “Recent policy initiatives aim to counter the precipitous decline of pollinators and thus secure their role in food security and broader ecosystem services. The practical experiences and observations of beekeepers are recognised as having the potential to both monitor, and improve, the wellbeing of pollinators As part of wider trends towards participatory governance, many initiatives notably stress the importance of engaging with beekeepers, as well as scientists, and other stakeholders whose study or practice holds the potential to improve environmental conditions that impact pollinator wellbeing. However, such multi-stakeholder engagement still prioritises ‘experts’, and struggles to adequately incorporate knowledge which contradict wider policies. This paper will discuss the perceptions of beekeepers on the relative influence and use of ‘expert’ and ‘experiential’ knowledge in pollinator policy-making. Unlike the expert scientific knowledge relied upon by policy-makers as central to EBPM, beekeepers’ understanding of bee health engages with systemic factors that are often hard to quantify or prove according to conventional scientific criteria. Beekeepers’ views result from long-term observation and engagement with specific local environments. Beekeepers are also a disparate community, holding contrary views on land use, agriculture, and the best means of ensuring pollinator wellbeing. My current PhD research focuses on interviews with long-term beekeepers whose tacit expertise is widely recognised throughout diverse beekeeping communities. I address the knowledges appropriated, and sidelined, in current pollinator policy, and how experiential knowledge is utilised by experts. I also address the challenges resulting from beekeepers’ tacit knowledge contrasting with current agricultural, land use, and economic policies.”
The research is concerned with pollinator decline, the threat to food security and the beekeepers seen as key stakeholders – both as monitoring: grounded knowledge in wellbeing and have the practical knwoledge. They can provide direct knwoeldge. The beekeepers also have a history of collaboration with scientists – e.g. providing details on harmful material (spraying incidents). Research include 36 beekeepers, archive and ethnography – many have a long term experience in the field. The discourse is about enthusiasm, citizen science, lay knowledge and related areas. She understand about environmental knowledge and observations, understanding their position within the community of practice and association, and also understanding views of policy making process and on the scientific process. The interviewees have massive knowledge – playing roles of inspectors, farmers, teaching others, board members of association, some several generations of beekeeping families – detailed local knowledge. The interviewees have STEM background. The results are showing that beekeepers combine tacit and explicit knowledge, and have profound specific local knowledge – microclimate, forage. Also had experience of involvement in policy and scientific research – they engage with entomologists. They do have empathy with farmers, frustration with voluntary initiatives and the wider food systems are seen as responsible for the problems. They collect data on phenology in the area, weather etc. There was a question about the debate and someone sceptic to media and public response to pollinator. In terms of participation in research – they do read scientific papers, but they feel that it is one way system – they put input and don’t feel that scientists take their views seriously. They feel lack of addressing local needs and policy process. They are doing lots of scientific processes – microscopy, pollen analysis and all sort of other information.