Citizen Science: Theory and Practice最新文献

A Conceptual Framework for the Operationalisation of Cooperation Analytics in Citizen Science Projects 公民科学项目中合作分析操作化的概念框架

Citizen Science: Theory and Practice Pub Date : 2024-07-03 DOI: 10.5334/cstp.650

J. Pidoux, Dominique Boullier

{"title":"A Conceptual Framework for the Operationalisation of Cooperation Analytics in Citizen Science Projects","authors":"J. Pidoux, Dominique Boullier","doi":"10.5334/cstp.650","DOIUrl":"https://doi.org/10.5334/cstp.650","url":null,"abstract":"While “cooperation” has been widely understood as a notion that allows us to better understand the dynamics of scientific research within citizen science practices in the field of social sciences and humanities (SSH), the concept of cooperation has not been precisely defined in the citizen science literature, nor measured quantitatively for digital platforms. This article adopts a conceptual approach to define cooperation and its key features, based on a systematic literature review. This approach allowed us to design 21 features of cooperation and build indicators that enable us to measure these features between citizen scientists. These 21 features of cooperation allow us to account for the plurality of citizen scientists’ meanings and practices in SSH. The indicators, which we refer to as “cooperation analytics,” can be deployed in a digital platform to provide direct and constant feedback to the actors themselves while their project is still under development. These analytics can serve as a tool for reflexivity, that is, to reflect on the assumptions that we make when producing knowledge, where cooperation is considered as a learning process under continuous revision and not as a criterion for conformity. Ultimately, cooperation analytics contribute to establishing new conventions for an enhanced citizen science, and to providing accountability and robustness in knowledge production and policymaking.","PeriodicalId":514738,"journal":{"name":"Citizen Science: Theory and Practice","volume":"34 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141682325","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}

引用次数: 0

SmartCS: Enabling the Creation of Machine Learning–Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding SmartCS：无需编码即可为公民科学应用创建由机器学习驱动的计算机视觉移动应用程序

Citizen Science: Theory and Practice Pub Date : 2024-07-02 DOI: 10.5334/cstp.642

Fahim Hasan Khan, Akila De Silva, Gregory Dusek, James Davis, Alex Pang

{"title":"SmartCS: Enabling the Creation of Machine Learning–Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding","authors":"Fahim Hasan Khan, Akila De Silva, Gregory Dusek, James Davis, Alex Pang","doi":"10.5334/cstp.642","DOIUrl":"https://doi.org/10.5334/cstp.642","url":null,"abstract":"It is undeniable that citizen science contributes to the advancement of various fields of study. There are now software tools that facilitate the development of citizen science apps. However, apps developed with these tools rely on individual human skills to correctly collect useful data. Machine learning (ML)–aided apps provide on-field guidance to citizen scientists on data collection tasks. However, these apps rely on server-side ML support, and therefore need a reliable internet connection. Furthermore, the development of citizen science apps with ML support requires a significant investment of time and money. For some projects, this barrier may preclude the use of citizen science effectively. We present a platform that democratizes citizen science by making it accessible to a much broader audience of both researchers and participants. The SmartCS platform allows one to create citizen science apps with ML support quickly and without coding skills. Apps developed using SmartCS have client-side ML support, making them usable in the field, even when there is no internet connection. The client-side ML helps educate users to better recognize the subjects, thereby enabling high-quality data collection. We present several citizen science apps created using SmartCS, some of which were conceived and created by high school students.","PeriodicalId":514738,"journal":{"name":"Citizen Science: Theory and Practice","volume":"32 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685201","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}

引用次数: 0

Evaluating Citizen Science: Moving beyond Output Measures to Learner Behaviors, Interests, and Motivations 评估公民科学：超越产出衡量标准，关注学习者的行为、兴趣和动机

Citizen Science: Theory and Practice Pub Date : 2024-07-02 DOI: 10.5334/cstp.683

Cheyanne Olson, Nicole Colston

引用次数: 0

Longitudinal Study of Motivation, Attitude, and Knowledge of Citizen Scientists Monitoring Plastic Pollution On Dutch Riverbank 关于监测荷兰河岸塑料污染的公民科学家的动机、态度和知识的纵向研究

Citizen Science: Theory and Practice Pub Date : 2024-05-13 DOI: 10.5334/cstp.667

Liselotte Rambonnet, Frans J. Rodenburg, A. Land-Zandstra

{"title":"Longitudinal Study of Motivation, Attitude, and Knowledge of Citizen Scientists Monitoring Plastic Pollution On Dutch Riverbank","authors":"Liselotte Rambonnet, Frans J. Rodenburg, A. Land-Zandstra","doi":"10.5334/cstp.667","DOIUrl":"https://doi.org/10.5334/cstp.667","url":null,"abstract":"Across the world, the number of citizen science projects focusing on plastic pollution is increasing. These projects often last for multiple years, which makes retaining volunteers challenging. However, our knowledge is limited regarding the effect of long-term involvement on citizen scientists’ motivation, attitude, and knowledge, especially for plastic pollution projects. Therefore, this study measured citizen scientists’ motivation, attitude, and knowledge in the Dutch Clean Rivers project before and during monitoring plastic pollution on riverbanks between 2017 and 2021.\u0000In total, 403 Clean Rivers participants completed a pre-survey, and a portion of them participated in one or multiple post-surveys throughout the years of monitoring. They were especially driven by Project Action motivations and Environmental motivations like tackling the source of pollution and doing something about the plastic soup, rather than being motivated by an Interest in Scientific Research like the desire to learn about scientific research. Project Action motivations increased significantly, especially within the first year of participation. Participants’ attitudes towards nature and science were initially high and did not increase significantly. Furthermore, while participants’ knowledge of plastic pollution was already high at the start, their knowledge of scientific research was not, and both increased significantly, especially in the first year of participation. The findings of this longitudinal study can contribute to improving the recruitment and retention of volunteers in current and future citizen science projects.","PeriodicalId":514738,"journal":{"name":"Citizen Science: Theory and Practice","volume":"17 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140982384","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}

引用次数: 0

Practical Applications of a Participatory Science Project Evaluation Tool: Perspectives from Across Earth and Space Science 参与式科学项目评估工具的实际应用：来自地球和空间科学领域的观点

Citizen Science: Theory and Practice Pub Date : 2024-05-02 DOI: 10.5334/cstp.536

Laura Brandt Edson, Elizabeth MacDonald, A. Cawood, Heather Fischer

{"title":"Practical Applications of a Participatory Science Project Evaluation Tool: Perspectives from Across Earth and Space Science","authors":"Laura Brandt Edson, Elizabeth MacDonald, A. Cawood, Heather Fischer","doi":"10.5334/cstp.536","DOIUrl":"https://doi.org/10.5334/cstp.536","url":null,"abstract":"While traditional science often focuses on peer-reviewed scientific publications and citations to gauge efficacy, citizen science projects, also called participatory science projects, span a broader range of goals, methods, and products than are capturable by such means. The Science Products Inventory (SPI) is one tool to assist with participatory science evaluation that extends beyond scientific outputs such as publications. Its use cases were limited to a cohort of projects during its initial development, so here we explored its utility and flexibility for use cases across multiple US federally-funded participatory science projects. We examined the tool’s formative and longitudinal utility, accessibility, and adaptability with contributory projects spanning different sizes, scopes, and goals. We found that the tool was easily customizable, making it suitable for individual project needs, including meeting the needs of funders for evaluation. It was easy to use, making it suitable for data gathering by non-expert evaluators, and it enabled practitioners to reflect on ways to enhance a project’s impact. We also found it useful for comparing evaluation data over time and between projects. Ultimately, citizen science includes elements across various dimensions that can be examined using quantitative indicators—like those in the SPI—and qualitative means. A combination of evaluation approaches could be appropriate for individual project goals and stakeholders, but we show how the simplicity and customizability of the SPI can provide benefits across a range of projects and programs.","PeriodicalId":514738,"journal":{"name":"Citizen Science: Theory and Practice","volume":"19 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141020205","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}

引用次数: 0

Quantifying How Natural History Traits Contribute to Bias in Community Science Engagement: A Case Study Using Orbweaver Spiders 量化自然历史特征如何导致社区科学参与的偏差：使用 Orbweaver 蜘蛛的案例研究

Citizen Science: Theory and Practice Pub Date : 2024-04-24 DOI: 10.5334/cstp.690

John Deitsch, Angela Chuang, David Nelsen, Michael Sitvarin, David Coyle

引用次数: 0

A New Generation of Citizen Scientists: Self-Efficacy and Skill Growth in a Voluntary Project Applied in the College Classroom Setting 新一代公民科学家：应用于大学课堂的自愿项目中的自我效能和技能增长

Citizen Science: Theory and Practice Pub Date : 2024-03-15 DOI: 10.5334/cstp.641

Jennifer Weber, Kate Tillotson-Chavez

{"title":"A New Generation of Citizen Scientists: Self-Efficacy and Skill Growth in a Voluntary Project Applied in the College Classroom Setting","authors":"Jennifer Weber, Kate Tillotson-Chavez","doi":"10.5334/cstp.641","DOIUrl":"https://doi.org/10.5334/cstp.641","url":null,"abstract":"Using citizen science resources and projects in university education is a burgeoning pedagogical tool that can promote real-world application of science, autonomous learning, and understanding of self-efficacy in science learning. In this case study, we examined several factors relating to self-efficacy and skill growth in STEM and non-STEM majors in life science courses of different levels at one university. Four life science classes in Fall 2022 (n = 109 students) voluntarily participated in a self-guided pollinator training module. Motivations, previous awareness, participation, and self-efficacy and self-identification for citizen science participation and for general scientific inquiry were assessed through pre- and post-surveys before and after module training. Students characterized themselves as STEM or non-STEM majors to understand self-identity. In having students self-report their identity in STEM, we found a trend (79.2%) of natural resource and agricultural majors ranking themselves as non-STEM. Across all participants, we observed a significant increase for learning outcomes between pre- and post-survey results (ɑ = 0.05). Self-reported non-STEM students showed a positive trend between surveys across survey questions. In comparison, self-reported STEM students showed very little increase across surveys but ranked highly in both pre- and post-survey results (mean = 3.42 out of 4). Overall, our findings suggest that even small-scale citizen science–based projects may increase students’ familiarity with concepts based in scientific inquiry and meet learning outcomes benefitting the goals of both higher education and citizen science initiatives.","PeriodicalId":514738,"journal":{"name":"Citizen Science: Theory and Practice","volume":"78 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140239695","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}

引用次数: 0

Advantages and Drawbacks of Open-Ended, Use-Agnostic Citizen Science Data Collection: A Case Study 开放式、用途明确的公民科学数据收集的优缺点：案例研究

Citizen Science: Theory and Practice Pub Date : 2024-02-22 DOI: 10.5334/cstp.676

Y. Wiersma, Tom Clenche, Mardon Erbland, Gisela Wachinger, R. Lukyanenko, Jeffrey Parsons

{"title":"Advantages and Drawbacks of Open-Ended, Use-Agnostic Citizen Science Data Collection: A Case Study","authors":"Y. Wiersma, Tom Clenche, Mardon Erbland, Gisela Wachinger, R. Lukyanenko, Jeffrey Parsons","doi":"10.5334/cstp.676","DOIUrl":"https://doi.org/10.5334/cstp.676","url":null,"abstract":"Citizen science projects that collect natural history observations often do not have an underlying research question in mind. Thus, data generated from such projects can be considered “use-agnostic.” Nevertheless, such projects can yield important insights about species distributions. Many of these projects use a class-based data schema, whereby contributors must supply a species identification. This can limit participation if contributors are not confident in their identifications, and can introduce data quality issues if species identification is incorrect. Some projects, such as iNaturalist, circumvent this with crowdsourced species identifications based on contributed photographs, or by grading confidence in the data based on attributes of the sighting and/or contributor. An alternative to a class-based data schema is an open-ended (instance-based) one, where contributors are free to identify their sighting at whatever taxonomic resolution they are most confident, and/or describe the sighting based on attributes. This can increase participation (data completeness) and have the benefit of adding additional (and sometimes unexpected) information. The regionally-focused citizen science website NLNature.com was designed to experimentally examine how class-based versus instance-based schema affected contributions and data quality. Here, we show that the instance-based schema yielded not only more contributions, but also several of ecological importance. Thus, allowing contributors to supply natural history information at a level familiar to them increases data completeness and facilitates unanticipated contributions.","PeriodicalId":514738,"journal":{"name":"Citizen Science: Theory and Practice","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140439231","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}

引用次数: 0

How to Deal with Uninformed and Poorly Informed Opinions of Citizens? A Critical Approach to Online Public Engagement 如何应对不明真相和信息不灵的公民意见？网上公众参与的关键方法

Citizen Science: Theory and Practice Pub Date : 2024-02-12 DOI: 10.5334/cstp.689

C. Mayeur, Heidi Mertes, W. Van Hoof

引用次数: 0

Citizen Science for Enhanced Dengue Vector Surveillance in Solomon Islands: A Methods Paper 所罗门群岛加强登革热病媒监测的公民科学：方法论文

Citizen Science: Theory and Practice Pub Date : 2024-02-12 DOI: 10.5334/cstp.679

Adam Craig, Nixon Panda, Rudgard Palapu, Geoffrey Oku, Clement Lifoia, Joanna Tatalu, Nigel Beebe, Gerard Kelly, Nathan Kama Jr, Charlie Iro’ofa, Hugo Bugoro

{"title":"Citizen Science for Enhanced Dengue Vector Surveillance in Solomon Islands: A Methods Paper","authors":"Adam Craig, Nixon Panda, Rudgard Palapu, Geoffrey Oku, Clement Lifoia, Joanna Tatalu, Nigel Beebe, Gerard Kelly, Nathan Kama Jr, Charlie Iro’ofa, Hugo Bugoro","doi":"10.5334/cstp.679","DOIUrl":"https://doi.org/10.5334/cstp.679","url":null,"abstract":"Arthropod-borne arboviral diseases—including dengue, Zika, and chikungunya—place a substantial burden on the health of populations, globally. Dengue alone is endemic in more than 100 countries and causes more than 96 million symptomatic cases and approximately 40,000 deaths annually. The recent surge in arboviral disease outbreaks, coupled with the World Health Organization’s newly published vector control guidelines, accentuates the imperative to understand the dispersion of disease-carrying mosquitoes across diverse spatial and temporal scales. However, traditional surveillance mechanisms often fall short because of workforce limitations, logistical complexities, jurisdictional boundaries, and budgetary constraints, especially in low- and low-middle-income countries. In this article, we systematically report the design, implementation, and iterative enhancement of a groundbreaking school-based citizen science initiative for augmenting mosquito surveillance in the Solomon Islands. Key reflections encompass the initiative’s role in supporting routine government-led disease vector monitoring, sustainability through integration and fostering participant engagement, and the amalgamation of citizen-collected data with government surveillance activities. The article also discusses the impact of the citizen science initiative with regard to the Solomon Islands’ pursuit of the Sustainable Development Goals. Our findings underscore the potential of citizen science methods to support and extend public health surveillance activities and to serve as a community-engagement-for-behaviour-change tool in resource-constrained contexts.","PeriodicalId":514738,"journal":{"name":"Citizen Science: Theory and Practice","volume":"323 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139842795","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}

引用次数: 0