Progress
Clean air is an important policy goal around the world: in Europe, it is the most important environmental cause of premature death[1]. From 1990 to 2016, Niger registered the highest average annual population-weighted Particulate Matter PM2.5 (µg/m3) and higher number of deaths attributable to PM2.5 (µg/m3) than any other country of the African Union[2].
As part of Agenda 2030, the importance of clean air has been enshrined in Target 11.6 which aims “by 2030, [to] reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality […]” [3].
In order to effectively achieve this target, all countries will need to provide high-quality, timely and accessible data, often in areas where very little data exists today, complementing official data sources and statistics. Citizen science has been heralded as particularly promising here. It has also been lauded for its potential to make scientific engagement more widely accessible, and to help generate trust in science. However, it obviously cannot be applied in a one-size-fits-all approach, but needs to be adapted to different social and cultural contexts. This interdisciplinary project aims to start a pilot citizen science project for implementing the SDGs, which is:
- Concrete: To have an impact, citizen science projects need to focus on improving a specific SDGs indicator. For air quality, this would be SDG 11.6.2[4]. This requires engagement with the precise methodological and institutional frame for how this indicator is measured and reported in the SDGs framework. Therefore, we want to both provide measurements and understand how this data can concretely feed into SDGs processes.
- Ethically informed: Citizen science needs to pay attention to a number of ethical issues, including, prominently, data privacy. This is particularly important in context in which vulnerable (e.g. politically disenfranchised) groups are involved.
- Collaborative: Most calls for involving citizens in science for the SDGs have been very general, or have focused on treating citizens as mere data-suppliers and their involvement as a mere technical issue. Yet in order to be long-lasting, solutions need to involve all stakeholders in collaborative arrangements where citizens have a voice and the space to reflect on their priorities. This is particularly true for Agenda 2030, which represents a global resolution to collectively engage in unprecedented social, economic and environmental transformation. How can citizen science projects be designed to make room for such reflection?
[1] https://www.eea.europa.eu/highlights/air-pollution-still-too-high
[2] https://www.stateofglobalair.org/
[3] https://unstats.un.org/sdgs/metadata?Text=&Goal=11&Target=11.6
[4] Annual mean levels of fine particulate matter (e.g. PM2.5 and PM10) in cities (population weighted)
Outcomes
In December 2019, Ibrahim Sidi Zakari was a visiting scholar at the Helmholtz Centre for Environmental Research (UFZ) in Germany, where he collaborated with Robert Lepenies and Lisa Herzog as well as with local researchers in the field of environmental politics, statistical modeling and urban sociology. The team worked on the problem of air pollution, its impact on health, recruitment of volunteers for crowdsourcing activities as well as the optimal sample size. They also addressed practical and ethical questions related to data collection, validation, processing of data from citizen science initiatives and their management, and reached out to open source platforms. With the acquisition of 6 latest generation flow 2 type pollution sensors capable of measuring ultrafine particles, the team was able to do tests locally for short term model testing.
In addition to collaborative research, the team has concentrated on outreach: presenting on the topic at conferences and in papers, and connecting to organizations in Europea and Africa (for example, World Wide Generation to explore possible collaboration on SDG reporting). Due to current pandemic travel and contact restrictions, planned workshops on citizen science in Niger and Germany are on-hold, but the group continues to collaborate on statistical modeling options, papers and dissemination.
See a full interim report here.
Further Information
About the GYA North-South Interdisciplinary Grant
The GYA includes a diverse membership of scientists and scholars, in many disciplines, based in developed and developing countries. This grant scheme was initiated in 2014, aiming to foster collaboration across the lines that often separate researchers and limit possibilities. Specifically, this scheme facilitates the development of small-scale, innovative, curiosity-driven, blue-sky, exploratory research pilots or prototypes that unite researchers in developed and developing countries and cross disciplinary boundaries.
The North-South Interdisciplinary Grant is awarded annually, and is meant to provide seed money to enable GYA members to prepare a proof of concept, prototype, or pilot research project with a view to securing larger external funding.
