Participatory GIS and community-based citizen science for environmental justice action

Haklay, Muki; Francis, Louise

doi:10.4324/9781315678986-24

Cited by 28 publications

(39 citation statements)

References 14 publications

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“…• Establish a balance between robust data collection protocols that require consistency and systematic collection of data to less stringent approaches that other scientists may reject as 'anecdotal' [41]; • Availability of smartphones and internet connection (internet connectivity in Solotvyno is weak, and there is a need for further analysis of the access to smartphones); • Age dynamics (most of the young people leave Solotvyno for schooling and work and come back during the holidays); • Population dynamics and demographics; • Working hour dynamics (after the closure of the mine the available work is mainly cross-border trade with irregular work hours); and • Integration of the PGIS maps into the official risk map. Assess whether the instruments and methods used to produce the official GIS risk map can also be used for the PGIS maps.…”

Section: Discussion and Initial Priorities Settingmentioning

confidence: 99%

“…There is a need for a thorough stakeholder analysis to be able to develop a more detailed map to support the CS and PGIS work. Second, Haklay (2018, p. 3) has developed a methodology used for PGIS and CS [41]. We adopted the methodology with a few adjustments because it is relevant to the current project.…”

Section: Schematic Representation Of the Methodologymentioning

confidence: 99%

“…We derived the high-level requirements for PGIS and CS from Principle 10 of the Rio Declaration on Environment and Development [31], Aarhus convention (UNECE 1998) [32][33][34], and the SENDAI Framework priorities and global targets. As noted earlier, the three pillars enshrined in Principle 10 of the Rio Declaration on Environment and Development [31], and Aarhus convention (UNECE 1998) [32][33][34] emphasize the need to ensure that citizens:…”

Section: High-level Requirements For Risk Mapping and Csmentioning

confidence: 99%

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Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines

2018

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The Horizon 2020 interim evaluation (2017) indicates a steep increase in citizen engagement in European Union Citizen Science (CS) projects, with less than 1% in budgetary terms and minimal influence. Research findings attribute weak CS influence to the restriction of citizen actions to data collection, with minimal or no engagement in co-design, co-creation, data analysis, and elucidation of results. We design a participatory GIS and CS methodology aimed at engaging the citizens in the entire Earth Observation (EO) project cycle. The methodology also seeks to address previous CS project challenges related to data quality, data interoperability, citizen-motivation, and participation. We draw the high-level requirements from the SENDAI framework of action and the three pillars of active citizen engagement, as enshrined in Principle 10 of the Rio Declaration and the Aarhus Convention. The primary input of the methodology is the Haklay (2018) approach for participatory mapping and CS, and the Reed (2009) stakeholder analysis framework. The proposed methodology comprises of three main parts: system analysis, stakeholder analysis, and a six-step methodology. We designed the six-step methodology using an iterative and flexible approach, to take account of unforeseen changes. Future research will focus on implementing the methodology and evaluating its effectiveness in the Solotvyno Saltmine case study in Ukraine.

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Section: Discussion and Initial Priorities Settingmentioning

confidence: 99%

Section: Schematic Representation Of the Methodologymentioning

confidence: 99%

Section: High-level Requirements For Risk Mapping and Csmentioning

confidence: 99%

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Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines

2018

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“…By the late 1990s it had evolved into a tool to give voice to marginalised communities in the global South under the title participatory geographic information system (PGIS)a fusion of participatory learning and action (PLA) and GISalso called "community GIS/mapping" or "GIS-in-practice" (Corbett et al, 2006;Dunn, 2007;Forrester & Cinderby, 2005). Participatory geographic information system gave rise to a community of "grassroots GIS users and mappers," 2 promoting GIS and mapping practices to navigate local initiatives while addressing priorities that are important to the local community (Corbett et al, 2006;Elwood, 2006;Haklay & Francis, 2018;McCall et al, 2015;Rambaldi et al, 2006;Sieber, 2006;Verplanke et al, 2016). Participatory geographic information system aims to represent local people's spatial knowledge by geographical information productsmost commonly mapsthat are flexible, adaptive to different socio-cultural environments, and by supporting communication and community advocacy, keep them informed and inclusive (Verplanke et al, 2016, p. 2).…”

Section: Participatory Gis and Community-led Mappingmentioning

confidence: 99%

“…Participatory geographic information system aims to represent local people's spatial knowledge by geographical information productsmost commonly mapsthat are flexible, adaptive to different socio-cultural environments, and by supporting communication and community advocacy, keep them informed and inclusive (Verplanke et al, 2016, p. 2). Participatory geographic information system gave rise to a community of "grassroots GIS users and mappers," 2 promoting GIS and mapping practices to navigate local initiatives while addressing priorities that are important to the local community (Corbett et al, 2006;Elwood, 2006;Haklay & Francis, 2018;McCall et al, 2015;Rambaldi et al, 2006;Sieber, 2006;Verplanke et al, 2016).…”

Section: Participatory Gis and Community-led Mappingmentioning

confidence: 99%

Participatory mapping and food‐centred justice in informal settlements in Nairobi, Kenya

Ahmed

Haklay

Tacoli

et al. 2019

Geography and Environment

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Food vendors are pivotal in the local food system of most low‐income informal settlements in Nairobi, Kenya, despite being seen as an obstruction and as agents of disease and filth by city authorities. This paper explores the geography of these foodscapes – defined as public sites of food production and consumption – in selected low‐income settlements in Nairobi, focusing on the interaction of food vendors with their surrounding environment and infrastructure services. The research uses participatory geographic information system tools, including food mapping with mobile apps and high‐resolution community aerial views with balloon mapping, to capture and contextualise local knowledge. The community mappers collected data on 660 vendors from 18 villages in Kibera, Mathare, and Mukuru, and situated them on multi‐layered synoptic geographic overviews for each settlement. The resulting data on hazardous areas in relation to food spaces and infrastructure provision allowed local communities to prioritise areas for regular clean‐up activities and assisted advocacy to improve these places in cooperation with local authorities. These multiple visual representations of foodscapes make local food vendors, and the risks they face, visible for the first time. Reframing their “right to safe food and environment” from a social and environmental justice perspective allows local communities to put their experiences, knowledge, and challenges faced at the forefront of urban development planning, policy, and practice.

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Inclusiveness and Diversity in Citizen Science

Paleco

Peter

Seoane

et al. 2021

The Science of Citizen Science

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An ‘inclusive citizen science’ practice encourages engagement from all members of society, whatever their social status, sociocultural origin, gender, religious affiliation, literacy level, or age. In this chapter we will first address the question of inclusiveness in citizen science and how this is tackled. We will analyse the current situation of a number of projects and initiatives within the Citizen Science COST Action CA15212 and the Horizon 2020 SwafS programme, examine the data, and discuss the main factors that encourage or hinder inclusiveness. We will offer recommendations for a possible plural participation in citizen science activities and reflect on how research is improved when diverse citizens are used as in-the-field experts. We will demonstrate how research questions can be fine-tuned and how research impacts are enhanced through citizen participation, with a focus on gender representation. Bottlenecks can occur when considering inclusiveness in citizen science, including in data interpretation, tasks that require long-term participation, and tasks that have specific language and intermediation requirements.

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Participatory GIS and community-based citizen science for environmental justice action

Cited by 28 publications

References 14 publications

Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines

Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines

Participatory mapping and food‐centred justice in informal settlements in Nairobi, Kenya

Inclusiveness and Diversity in Citizen Science

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