Dorottya Varga, C. Doran, Beatriz Ortega, Mabel Segú Odriozola
Although there has been a sharp increase in citizen science (CS) initiatives in past years, barriers to participation are often too high for many social groups, including vulnerable social groups, making CS subject to the same exclusionary processes that are reflected on a wider societal level. This essay aims to start a conversation on achieving more inclusive practices in CS initiatives and integrating them into the 2030 Agenda for wider data representation. First, we present prior research findings on the importance and benefits of social inclusion to science, citizens, and society, and considerations when designing for inclusive participatory practices. Next, we highlight ongoing European research projects that are making substantial efforts towards CS inclusion (e.g., SOCIO-BEE). Then, we discuss how inclusive CS can advance the Sustainable Development Agenda in general and in several Sustainable Development Goals (SDGs) in particular. Finally, we put forward a set of 12 recommendations to design for inclusion in CS initiatives, ranging from more abstract ideas (e
{"title":"How can Inclusive Citizen Science Transform the Sustainable Development Agenda? Recommendations for a Wider and More Meaningful Inclusion in the Design of Citizen Science Initiatives","authors":"Dorottya Varga, C. Doran, Beatriz Ortega, Mabel Segú Odriozola","doi":"10.5334/cstp.572","DOIUrl":"https://doi.org/10.5334/cstp.572","url":null,"abstract":"Although there has been a sharp increase in citizen science (CS) initiatives in past years, barriers to participation are often too high for many social groups, including vulnerable social groups, making CS subject to the same exclusionary processes that are reflected on a wider societal level. This essay aims to start a conversation on achieving more inclusive practices in CS initiatives and integrating them into the 2030 Agenda for wider data representation. First, we present prior research findings on the importance and benefits of social inclusion to science, citizens, and society, and considerations when designing for inclusive participatory practices. Next, we highlight ongoing European research projects that are making substantial efforts towards CS inclusion (e.g., SOCIO-BEE). Then, we discuss how inclusive CS can advance the Sustainable Development Agenda in general and in several Sustainable Development Goals (SDGs) in particular. Finally, we put forward a set of 12 recommendations to design for inclusion in CS initiatives, ranging from more abstract ideas (e","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71067403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Moritz Müller, Julia Lorenz, S. Voigt-Heucke, Gesine Heinrich, Marius Oesterheld
Conceptual models on the synergies between citizen science (CS) and the United Nations Sustainable Development Goals (SDGs) attribute an important role to CS in monitoring and supporting the achievement of the SDGs. However, recent research on the actual contribution of CS to the SDGs shows that it has so far fallen short of expectations. What previous research has largely neglected to investigate is how CS practitioners themselves view the synergies of CS and the SDGs, and whether the lack of initiative on their part could be a reason for CS’s smaller-than-expected contribution to the SDGs. Therefore, we asked 81 CS practitioners in two separate surveys about which SDGs their research contributes to and how they assess the intersections between their research and the SDGs, as well as the synergies between the SDGs and CS in general. Our survey shows that the vast majority of CS practitioners in Germany see little overlap between their own research and the SDGs, while their assessment of the overall synergies between CS and the SDGs is slightly more positive. Likewise, our data indicates that some CS practitioners are not yet fully familiar with the SDG framework. Based on our findings, we conclude that CS support for the SDGs must still be considered a niche phenomenon in the German CS landscape, and suggest that the contribution of CS to the SDGs could be increased by publishing low-threshold SDG information materials and providing stronger opportunities for CS practitioners to participate in the future evolution of the SDG framework.
{"title":"Citizen Science for the Sustainable Development Goals? The Perspective of German Citizen Science Practitioners on the Relationship between Citizen Science and the Sustainable Development Goals","authors":"Moritz Müller, Julia Lorenz, S. Voigt-Heucke, Gesine Heinrich, Marius Oesterheld","doi":"10.5334/cstp.583","DOIUrl":"https://doi.org/10.5334/cstp.583","url":null,"abstract":"Conceptual models on the synergies between citizen science (CS) and the United Nations Sustainable Development Goals (SDGs) attribute an important role to CS in monitoring and supporting the achievement of the SDGs. However, recent research on the actual contribution of CS to the SDGs shows that it has so far fallen short of expectations. What previous research has largely neglected to investigate is how CS practitioners themselves view the synergies of CS and the SDGs, and whether the lack of initiative on their part could be a reason for CS’s smaller-than-expected contribution to the SDGs. Therefore, we asked 81 CS practitioners in two separate surveys about which SDGs their research contributes to and how they assess the intersections between their research and the SDGs, as well as the synergies between the SDGs and CS in general. Our survey shows that the vast majority of CS practitioners in Germany see little overlap between their own research and the SDGs, while their assessment of the overall synergies between CS and the SDGs is slightly more positive. Likewise, our data indicates that some CS practitioners are not yet fully familiar with the SDG framework. Based on our findings, we conclude that CS support for the SDGs must still be considered a niche phenomenon in the German CS landscape, and suggest that the contribution of CS to the SDGs could be increased by publishing low-threshold SDG information materials and providing stronger opportunities for CS practitioners to participate in the future evolution of the SDG framework.","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71068080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Fraisl, Linda See, Jillian Campbell, F. Danielsen, Herizo T. Andrianandrasana
TO CITE THIS ARTICLE: Fraisl, D, See, L, Campbell, J, Danielsen, F and Andrianandrasana, HT. 2023. The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks. Citizen Science: Theory and Practice, 8(1): 27, pp. 1–6. DOI: https://doi.org/10.5334/cstp.643 The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks
{"title":"The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks","authors":"D. Fraisl, Linda See, Jillian Campbell, F. Danielsen, Herizo T. Andrianandrasana","doi":"10.5334/cstp.643","DOIUrl":"https://doi.org/10.5334/cstp.643","url":null,"abstract":"TO CITE THIS ARTICLE: Fraisl, D, See, L, Campbell, J, Danielsen, F and Andrianandrasana, HT. 2023. The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks. Citizen Science: Theory and Practice, 8(1): 27, pp. 1–6. DOI: https://doi.org/10.5334/cstp.643 The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71067822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Peter Eliás, Adenike Shonowo, A. de Sherbinin, C. Hultquist, F. Danielsen, C. Cooper, M. Mondardini, Elaine Faustman, Anne Browser, J. Minster, Martie van Deventer, I. Popescu
Data are vital for and creating knowledge-based solutions to development challenges facing Africa. As a result of gaps in government-funded data collection, and in the interest of promoting community engagement, there is a global movement towards consideration of nontraditional sources of data, including citizen science (CS) data. These data are particularly valuable when collected at a high resolution over large spatial extents and long time periods. CS projects and infrastructure are abundant and well documented in the Global North, while needs for participatory projects to fill environmental monitoring gaps may be greater in the Global South. The paper explores the contributions of citizen science projects originating in Africa for two Sustainable Development Goals (SDGs), namely SDG 6
{"title":"Mapping the Landscape of Citizen Science in Africa: Assessing its Potential Contributions to Sustainable Development Goals 6 and 11 on Access to Clean Water and Sanitation and Sustainable Cities","authors":"Peter Eliás, Adenike Shonowo, A. de Sherbinin, C. Hultquist, F. Danielsen, C. Cooper, M. Mondardini, Elaine Faustman, Anne Browser, J. Minster, Martie van Deventer, I. Popescu","doi":"10.5334/cstp.601","DOIUrl":"https://doi.org/10.5334/cstp.601","url":null,"abstract":"Data are vital for and creating knowledge-based solutions to development challenges facing Africa. As a result of gaps in government-funded data collection, and in the interest of promoting community engagement, there is a global movement towards consideration of nontraditional sources of data, including citizen science (CS) data. These data are particularly valuable when collected at a high resolution over large spatial extents and long time periods. CS projects and infrastructure are abundant and well documented in the Global North, while needs for participatory projects to fill environmental monitoring gaps may be greater in the Global South. The paper explores the contributions of citizen science projects originating in Africa for two Sustainable Development Goals (SDGs), namely SDG 6","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71067742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jazzmine K. Waugh, Jacqueline K. Lindsey, Max Z. Stewart, Jordan C. Winter, Julia K. Parrish
Citizen science, defined here as the voluntary participation of the public in scientific research, has been proposed as a method of increasing diversity in science. However, it is unknown whether citizen science participants are truly more diverse than traditional (i.e., academically trained) scientists. In this paper, we conducted a meta-analysis of citizen science participant demographics (for gender, race/ethnicity, retiree participation, age, and education) across English language peer-reviewed literature in the Web of Science (WOS) database. We collected data encompassing 151,854 unique within-project participants from 157 projects. By pairing a subset of our data confined to North America (n = 21 projects) with geographically compared census data, we found that citizen science participants are disproportionately white and educated, with high variation in gender of participants across projects. The geographically compared results also suggested that participants are primarily adults. We then used linear modeling to explore whether project attributes, including publication year, scientific focus of the project (project focus), and whether the project is online or hands-on (project access), explain variation in demographics (n = 121 projects). We found an increase in female participation over time, while biodiversity projects had higher participation from white and retired people than health projects, and online projects had more female and educated participants than hands-on projects. However, only ~7.5% of citizen science papers we reviewed reported demographic data, suggesting a need for more representative data. This research suggests that there may be room for increased participation from groups that are currently underrepresented in citizen science.
公民科学，在这里被定义为公众自愿参与科学研究，被认为是增加科学多样性的一种方法。然而，尚不清楚公民科学参与者是否真的比传统的(即受过学术训练的)科学家更加多样化。在本文中，我们对公民科学参与者的人口统计数据(性别、种族/民族、退休人员参与、年龄和教育程度)进行了荟萃分析，这些数据来自Web of science (WOS)数据库中的英文同行评审文献。我们收集了来自157个项目的151,854个项目内参与者的数据。通过将我们局限于北美的数据子集(n = 21个项目)与地理上比较的人口普查数据进行配对，我们发现公民科学参与者是受过教育的白人，比例不成比例，不同项目参与者的性别差异很大。地理比较结果还表明，参与者主要是成年人。然后，我们使用线性模型来探索项目属性，包括出版年份、项目的科学重点(项目重点)，以及项目是在线的还是实际操作的(项目访问)，是否解释了人口统计数据的变化(n = 121个项目)。我们发现，随着时间的推移，女性的参与度有所增加，而生物多样性项目的白人和退休人员的参与度高于健康项目，在线项目的女性和受过教育的参与者多于动手项目。然而，在我们审查的公民科学论文中，只有约7.5%报告了人口统计数据，这表明需要更多具有代表性的数据。这项研究表明，目前在公民科学中代表性不足的群体可能有更多参与的空间。
{"title":"Demographics of Public Participation in Science: A Meta-Analytic Approach","authors":"Jazzmine K. Waugh, Jacqueline K. Lindsey, Max Z. Stewart, Jordan C. Winter, Julia K. Parrish","doi":"10.5334/cstp.610","DOIUrl":"https://doi.org/10.5334/cstp.610","url":null,"abstract":"Citizen science, defined here as the voluntary participation of the public in scientific research, has been proposed as a method of increasing diversity in science. However, it is unknown whether citizen science participants are truly more diverse than traditional (i.e., academically trained) scientists. In this paper, we conducted a meta-analysis of citizen science participant demographics (for gender, race/ethnicity, retiree participation, age, and education) across English language peer-reviewed literature in the Web of Science (WOS) database. We collected data encompassing 151,854 unique within-project participants from 157 projects. By pairing a subset of our data confined to North America (n = 21 projects) with geographically compared census data, we found that citizen science participants are disproportionately white and educated, with high variation in gender of participants across projects. The geographically compared results also suggested that participants are primarily adults. We then used linear modeling to explore whether project attributes, including publication year, scientific focus of the project (project focus), and whether the project is online or hands-on (project access), explain variation in demographics (n = 121 projects). We found an increase in female participation over time, while biodiversity projects had higher participation from white and retired people than health projects, and online projects had more female and educated participants than hands-on projects. However, only ~7.5% of citizen science papers we reviewed reported demographic data, suggesting a need for more representative data. This research suggests that there may be room for increased participation from groups that are currently underrepresented in citizen science.","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135319325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dick Kasperowski, Anna Berti Suman, Shun-Ling Chen, Christopher Kullenberg
{"title":"Where Environmental Citizen Science Meets the Law","authors":"Dick Kasperowski, Anna Berti Suman, Shun-Ling Chen, Christopher Kullenberg","doi":"10.5334/cstp.596","DOIUrl":"https://doi.org/10.5334/cstp.596","url":null,"abstract":"","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71067790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urban ecosystems provide diverse habitats for plants and animals. Policies can protect these ecosystems. To do this, policy frameworks need robust datasets to monitor and report on trends. Citizen science (CS) projects can make a valuable contribution by helping to build, refine
{"title":"How Citizen Science Projects Contribute to Urban Biodiversity Monitoring and Conservation Frameworks—A German Case Study","authors":"S. Voigt-Heucke, Moritz Müller, Julia Rostin","doi":"10.5334/cstp.585","DOIUrl":"https://doi.org/10.5334/cstp.585","url":null,"abstract":"Urban ecosystems provide diverse habitats for plants and animals. Policies can protect these ecosystems. To do this, policy frameworks need robust datasets to monitor and report on trends. Citizen science (CS) projects can make a valuable contribution by helping to build, refine","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71067952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Syed Ghulam Sarwar Shah, Yolanda Barrado-Martín, Thomas Marjot, Jeremy W. Tomlinson, Vasiliki Kiparoglou
Citizen science approaches are widely and successfully used in biological, environmental, and ecological sciences; however, they are rarely applied in other domains, such as translational health research, notably in the field of liver disease and metabolism. We have designed a study that aims to explore the application of the citizen science approach in a translational experimental medicine study on non-alcoholic fatty liver disease (NAFLD) and a 12-week lifestyle and weight loss program. In this methodological paper, we describe the process of involving citizen scientists in the study. We will recruit a convenience sample of 31 participants (with and without NAFLD) and a half-dozen citizen scientists (members of the public). Citizen scientists will work alongside clinical and non-clinical researchers in a translational experimental medicine study on NAFLD. Citizen scientists will be involved in the co-design and/or review of data collection tools (e.g., semi-structured open-ended questionnaire surveys and semi-structured wellbeing diaries completed by the participants), co-analysis of data on participants’ experiences and motivations, co-drafts of research findings and papers, and suggestions for policy recommendations. Citizen scientists will be trained in the research tasks they will undertake, and will be either co-authors or their names will be mentioned in the acknowledgements in research paper(s) based on the level of research contributions. Lessons learned from implementing citizen science in this study will help to reveal the advantages, limitations, and implications of involving citizen scientists in the translational medicine research. Knowing citizen scientists’ motivations, expectations, training needs, and overall experience of involvement in this study could provide insights, which could inform the planning and conduct of future translational research studies. Involving citizen scientists in translational medicine research is an important step in extending research opportunities for members of the public; however, there may be methodological challenges, which may be identified and resolved by more research studies.
{"title":"Adopting a Citizen Science Approach in Translational Experimental Medicine Research in Non-Alcoholic Fatty Liver Disease: A Study Protocol","authors":"Syed Ghulam Sarwar Shah, Yolanda Barrado-Martín, Thomas Marjot, Jeremy W. Tomlinson, Vasiliki Kiparoglou","doi":"10.5334/cstp.555","DOIUrl":"https://doi.org/10.5334/cstp.555","url":null,"abstract":"Citizen science approaches are widely and successfully used in biological, environmental, and ecological sciences; however, they are rarely applied in other domains, such as translational health research, notably in the field of liver disease and metabolism. We have designed a study that aims to explore the application of the citizen science approach in a translational experimental medicine study on non-alcoholic fatty liver disease (NAFLD) and a 12-week lifestyle and weight loss program. In this methodological paper, we describe the process of involving citizen scientists in the study. We will recruit a convenience sample of 31 participants (with and without NAFLD) and a half-dozen citizen scientists (members of the public). Citizen scientists will work alongside clinical and non-clinical researchers in a translational experimental medicine study on NAFLD. Citizen scientists will be involved in the co-design and/or review of data collection tools (e.g., semi-structured open-ended questionnaire surveys and semi-structured wellbeing diaries completed by the participants), co-analysis of data on participants’ experiences and motivations, co-drafts of research findings and papers, and suggestions for policy recommendations. Citizen scientists will be trained in the research tasks they will undertake, and will be either co-authors or their names will be mentioned in the acknowledgements in research paper(s) based on the level of research contributions. Lessons learned from implementing citizen science in this study will help to reveal the advantages, limitations, and implications of involving citizen scientists in the translational medicine research. Knowing citizen scientists’ motivations, expectations, training needs, and overall experience of involvement in this study could provide insights, which could inform the planning and conduct of future translational research studies. Involving citizen scientists in translational medicine research is an important step in extending research opportunities for members of the public; however, there may be methodological challenges, which may be identified and resolved by more research studies.","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136366982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper focuses on two prominent efforts tackling global problems, namely the UN Sustainable Development Goals (SDGs) and the Sendai Framework (SF). To achieve the aims sought by these initiatives or to observe and measure their effectiveness and progress, accurate and up-to-date information is needed. An important part of this information refers to geographic information (GI). GI is the fundamental underpinning element that spans the globe, captures time
{"title":"Volunteered Geographic Information, Citizen Science and Machine Learning in the Service of Sustainable Development Goals and the Sendai Framework","authors":"Vyron Antoniou","doi":"10.5334/cstp.568","DOIUrl":"https://doi.org/10.5334/cstp.568","url":null,"abstract":"This paper focuses on two prominent efforts tackling global problems, namely the UN Sustainable Development Goals (SDGs) and the Sendai Framework (SF). To achieve the aims sought by these initiatives or to observe and measure their effectiveness and progress, accurate and up-to-date information is needed. An important part of this information refers to geographic information (GI). GI is the fundamental underpinning element that spans the globe, captures time","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ryan M. Carney, Alex Long, Russanne D. Low, Sarah Zohdy, John R. B. Palmer, Peter Elias, Frederic Bartumeus, Laban Njoroge, Maina Muniafu, Johnny A. Uelmen, Nil Rahola, Sriram Chellappan
Even as novel technologies emerge and medicines advance, pathogen-transmitting mosquitoes pose a deadly and accelerating public health threat. Detecting and mitigating the spread of Anopheles stephensi in Africa is now critical to the fight against malaria, as this invasive mosquito poses urgent and unprecedented risks to the continent. Unlike typical African vectors of malaria, An. stephensi breeds in both natural and artificial water reservoirs, and flourishes in urban environments. With An. stephensi beginning to take hold in heavily populated settings, citizen science surveillance supported by novel artificial intelligence (AI) technologies may offer impactful opportunities to guide public health decisions and community-based interventions. Coalitions like the Global Mosquito Alert Consortium (GMAC) and our freely available digital products can be incorporated into enhanced surveillance of An. stephensi and other vector-borne public health threats. By connecting local citizen science networks with global databases that are findable, accessible, interoperable, and reusable (FAIR), we are leveraging a powerful suite of tools and infrastructure for the early detection of, and rapid response to, (re)emerging vectors and diseases.
{"title":"Citizen Science as an Approach for Responding to the Threat of Anopheles stephensi in Africa","authors":"Ryan M. Carney, Alex Long, Russanne D. Low, Sarah Zohdy, John R. B. Palmer, Peter Elias, Frederic Bartumeus, Laban Njoroge, Maina Muniafu, Johnny A. Uelmen, Nil Rahola, Sriram Chellappan","doi":"10.5334/cstp.616","DOIUrl":"https://doi.org/10.5334/cstp.616","url":null,"abstract":"Even as novel technologies emerge and medicines advance, pathogen-transmitting mosquitoes pose a deadly and accelerating public health threat. Detecting and mitigating the spread of Anopheles stephensi in Africa is now critical to the fight against malaria, as this invasive mosquito poses urgent and unprecedented risks to the continent. Unlike typical African vectors of malaria, An. stephensi breeds in both natural and artificial water reservoirs, and flourishes in urban environments. With An. stephensi beginning to take hold in heavily populated settings, citizen science surveillance supported by novel artificial intelligence (AI) technologies may offer impactful opportunities to guide public health decisions and community-based interventions. Coalitions like the Global Mosquito Alert Consortium (GMAC) and our freely available digital products can be incorporated into enhanced surveillance of An. stephensi and other vector-borne public health threats. By connecting local citizen science networks with global databases that are findable, accessible, interoperable, and reusable (FAIR), we are leveraging a powerful suite of tools and infrastructure for the early detection of, and rapid response to, (re)emerging vectors and diseases.","PeriodicalId":32270,"journal":{"name":"Citizen Science Theory and Practice","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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