Giving voice to the voiceless: connecting graduate students with high school students by incubating DRR plans through participatory mapping

PurposeThe purpose of this study is to encourage graduate students to facilitate a participatory mapping activity with high school students, to have their voices heard in the disaster risk reduction (DRR) agenda.Design/methodology/approachA participatory mapping, youth-led session, was conducted with 22 high school students, where they had to identify flood and landslide-prone areas. Then, they were asked to propose and plan DRR measures in collaboration with local partners in São Luiz do Paraitinga, Brazil.FindingsThe participatory method engaged the graduate students and the high school students in the DRR debate, allowing them to map hazards and vulnerabilities, and to discuss five incubation projects for enhancing DRR in the city.Originality/valueThis research highlights the importance of involving young people in DRR formulation and planning to build local capacities in younger generations. The outputs were shared with the local civil defense and a local non-governmental organization (NGO), who suggested recommendations to improve the five incubation projects.

Participatory Mapping, E-Participation, and E-Governance

This chapter focuses on participatory mapping as an e-governance tool to facilitate public participation. Public participation is a key component of democratic governance, and there is a growing reliance on digital government tools such as the internet and social networking sites and geographic information systems (GIS). This chapter focuses on public engagement using information and communication technology, namely participatory mapping, known by a variety of terms such as participatory GIS (PGIS), public participation GIS (PPGIS), and voluntary GIS. While the analysis involves use of participatory mapping related to environmental issues, the chapter brings together seminal work from various fields of citizen engagement and participatory mapping. The idea is to create one common narrative for scholars and practitioners, bringing together various terminologies, practices, and studies in participatory mapping in the environmental arena that offers a beginner's frame of reference.

Participatory Mapping for Strengthening Environmental Governance on Socio-Ecological Impacts of Infrastructure in the Amazon: Lessons to Improve Tools and Strategies

The Amazon region has been viewed as a source of economic growth based on extractive industry and large-scale infrastructure development endeavors, such as roads, dams, oil and gas pipelines and mining. International and national policies advocating for the development of the Amazon often conflict with the environmental sector tasked with conserving its unique ecosystems and peoples through a sustainable development agenda. New practices of environmental governance can help mitigate adverse socio-economic and ecological effects. For example, forming a “community of practice and learning” (CoP-L) is an approach for improving governance via collaboration and knowledge exchange. The Governance and Infrastructure in the Amazon (GIA) project, in which this study is embedded, has proposed that fostering a CoP-L on tools and strategies to improve infrastructure governance can serve as a mechanism to promote learning and action on factors related to governance effectiveness. A particular tool used by the GIA project for generating and sharing knowledge has been participatory mapping (Pmap). This study analyzes Pmap exercises conducted through workshops in four different Amazonian regions. The goal of Pmap was to capture different perspectives from stakeholders based on their experiences and interests to visualize and reflect on (1) areas of value, (2) areas of concern and (3) recommended actions related to reducing impacts of infrastructure development and improvement of governance processes. We used a mixed-methods approach to explore textual analysis, regional multi-iteration discussion with stakeholders, participatory mapping and integration with ancillary geospatial datasets. We believe that by sharing local-knowledge-driven data and strengthening multi-actor dialogue and collaboration, this novel approach can improve day to day practices of CoP-L members and, therefore, the transparency of infrastructure planning and good governance.