Abstract:The Sapelli smartphone application aims to support any community to engage in citizen science activities to address local concerns and needs. However, Sapelli was designed and developed not as a piece of technology without a context, but as the technical part of a socio-technical approach to establish a participatory science process. This paper provides the methodological framework for implementing and using Sapelli in the field. Specifically, we present the role of Sapelli within the framework of an “Extreme … Show more
“…CCS programmes require ecological and sound facilitation expertise from researchers, careful consideration and long-term planning. The approach is used in the Global South 205 and the Global North 232 , including the Arctic 233 , in environmental justice 234 and other community-based initiatives. The Community-based Monitoring Library provides bestpractice examples from the Arctic and lessons learnt for practitioners.…”
Section: Box 1 | Community-led Citizen Science In Ecology and Environ...mentioning
Citizen science, broadly defined as public participation in scientific research and knowledge production, is becoming an increasingly well developed and valued approach with global reach and used in a wide range of scientific domains [1][2][3] . Much of this growth is driven by the availability of information technology infrastructures such as mobile phones and low-cost sensors for gathering and reporting data, the internet for sharing data, and cloud storage for hosting and storing data 4,5 . Growing literacy levels and educational attainment in many parts of the world also make it possible for many more people to contribute to knowledge creation in a meaningful way 6,7 .Citizen science initiatives involve the public in the research process to generate genuine scientific outcomes [8][9][10][11] . These outcomes include discoveries, such as in astrophysics 12 and archaeology projects 13 ; new insights, such as in epidemiology 14 and socio-linguistics projects 15 ; evidence-based policymaking, such as in pollution-monitoring initiatives [16][17][18] ; interventions such as in public health research 19 ; and environmental governance, including in ecology and biodiversity monitoring initiatives [20][21][22] . Citizen science research can fill important data gaps across both time and space 23 , which might not otherwise be possible without the contribution of many participants, including people with local and lay knowledge 24,25 or Indigenous knowledge 26,27 .
“…CCS programmes require ecological and sound facilitation expertise from researchers, careful consideration and long-term planning. The approach is used in the Global South 205 and the Global North 232 , including the Arctic 233 , in environmental justice 234 and other community-based initiatives. The Community-based Monitoring Library provides bestpractice examples from the Arctic and lessons learnt for practitioners.…”
Section: Box 1 | Community-led Citizen Science In Ecology and Environ...mentioning
Citizen science, broadly defined as public participation in scientific research and knowledge production, is becoming an increasingly well developed and valued approach with global reach and used in a wide range of scientific domains [1][2][3] . Much of this growth is driven by the availability of information technology infrastructures such as mobile phones and low-cost sensors for gathering and reporting data, the internet for sharing data, and cloud storage for hosting and storing data 4,5 . Growing literacy levels and educational attainment in many parts of the world also make it possible for many more people to contribute to knowledge creation in a meaningful way 6,7 .Citizen science initiatives involve the public in the research process to generate genuine scientific outcomes [8][9][10][11] . These outcomes include discoveries, such as in astrophysics 12 and archaeology projects 13 ; new insights, such as in epidemiology 14 and socio-linguistics projects 15 ; evidence-based policymaking, such as in pollution-monitoring initiatives [16][17][18] ; interventions such as in public health research 19 ; and environmental governance, including in ecology and biodiversity monitoring initiatives [20][21][22] . Citizen science research can fill important data gaps across both time and space 23 , which might not otherwise be possible without the contribution of many participants, including people with local and lay knowledge 24,25 or Indigenous knowledge 26,27 .
“…Technology and more widely literacy and ability barriers must be addressed. Moustard et al [ 11 ] observed that rural communities and local participants may be non-literate but are most ecologically literate. Their involvement was facilitated through use of a smartphone application based on Sapelli, an open-source configurable icon-driven user interface for data collection across language and literacy barriers [ 12 ].…”
Inclusive citizen science, an emerging field, has seen extensive research. Prior studies primarily concentrated on creating theoretical models and practical strategies for diversifying citizen science (CS) projects. These studies relied on ethical frameworks or post-project empirical observations. Few examined active participants’ socio-demographic and behavioral data. Notably, none, to our knowledge, explored prospective citizen scientists’ traits as intrinsic factors to enhance diversity and engagement in CS. This paper presents a new inclusive CS engagement model based on quantitative analysis of surveys administered to 540 participants of the dedicated free informal education MOOC (Massive Open Online Course) ‘Your Right to Privacy Online’ from eight countries in the EU funded project, CSI-COP (Citizen Scientists Investigating Cookies and App GDPR compliance). The surveys were filled out just after completing the training stage and before joining the project as active CSs. Out of the 540 participants who completed the surveys analyzed in this study, only 170 (32%) individuals actively participated as CSs in the project. Therefore, the study attempted to understand what characterizes these participants compared to those who decided to refrain from joining the project after the training stage. The study employed descriptive analysis and advanced statistical tests to explore the correlations among different research variables. The findings revealed several important relationships and predictors for becoming a citizen scientist based on the surveys analysis, such as age, gender, culture, education, Internet accessibility and apps usage, as well as the satisfaction with the MOOC, the mode of training and initial intentions for becoming a CS. These findings lead to the development of the empirical model for inclusive engagement in CS and enhance the understanding of the internal factors that influence individuals’ intention and actual participation as CSs. The devised model offers valuable insights and key implications for future CS initiatives. It emphasizes the necessity of targeted recruitment strategies, focusing on underrepresented groups and overcoming accessibility barriers. Positive learning experiences, especially through MOOCs, are crucial; enhancing training programs and making educational materials accessible and culturally diverse can boost participant motivation. Acknowledging varying technological proficiency and providing necessary resources enhances active engagement. Addressing the intention-engagement gap is vital; understanding underlying factors and creating supportive environments can transform intentions into active involvement. Embracing cultural diversity through language-specific strategies ensures an inclusive environment for effective contributions.
“…In recent years, the core of Citizen Science work has aimed to empower communities to build, design and then utilise their own research potential. As explored elsewhere (Moustard et al 2021), a majority of Citizen Science projects have focussed on a highly specific problem or issue identified by outside 'experts'. The gathering of data is then used to build an evidential base for or against a certain course of action -such as noise pollution, illegal logging, community rights to land, or similar (Bishop 2021(Bishop et al 2021Senabre Hidalgo et al 2021).…”
Section: Harnessing Small-holder Farmer's Capacities: a Citizen Scien...mentioning
confidence: 99%
“…The co-design process for the Sapelli Project followed that outlined in Moustard et al (2021) and was built on the core principle of Free Prior and Informed Consent (FPIC) and the development of a community protocol to govern the collaboration. This not only involved providing participants with all of the information on the proposed project, but also the active collaborative exploration between researchers and community members to understand potential positive and negative impacts of the project's outcomes.…”
Section: Engagement and Participatory Designmentioning
Sub-Saharan Africa is often presented as the continent most vulnerable to climatic change with major repercussions for food systems. Coupled with high rates of population growth and existing nutritional deficiencies, the need to enhance food production across the continent is thus seen as a major global imperative. We argue here, however, that current models of agricultural development in Eastern Africa often marginalise critical small-holder knowledge from the process of future agricultural design due to a lack of a methodological tools for engagement. This paper addresses this by outlining a potential means to capture and share locally produced agronomic information on a large scale. We report on a ‘Citizen Science’ pilot study that worked with smallholder farmers in Elgeyo-Marakwet County, western Kenya, to co-design a mobile application using the well-developed
Sapelli platform that easily allows farmers to identify, record and geolocate cropping patterns and challenges at multiple stages in the agricultural calendar using their own understandings. The pilot project demonstrated the technical and epistemological benefits of co-design, the abilities of smallholder farmers to co-design and use smartphone applications, and the potential for such technology to produce and share valuable agricultural and ecological knowledge in real time. Proof-of-concept data illustrates opportunities to spatially and temporally track and respond to challenges related to climate, crop disease and pests. Such work expounds how smallholder farmers are a source of largely untapped ecological and agronomic expert knowledge that can, and should, be harnessed to address issues of future agricultural resilience and food system sustainability.
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