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Citizen Science in Environmentally Oriented Social Science Research: Trends, Projects, and Innovative Technologies

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 23352

Special Issue Editors


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Guest Editor
Institute of Geonics of the Czech Academy of Sciences, Department of Environmental Geography, Drobného 28, 602 00 Brno, Czech Republic
Interests: societal adaptation to climate change; environmental sociology; land system
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, Uherské Hradiště, 686 01 Zlín, Czech Republic
Interests: citizen science; urban planning; gis; geography; geoinformatics; human geography; environment; sustainability
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, K. Donelaičio St. 73, LT-44249 Kaunas, Lithuania
Interests: citizen science; civic participation; social innovations; social entrepreneurship; community development and social inclusion

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Guest Editor
Environmental Social Science Research Group (ESSRG), Ferenciek tere 2., 1053 Budapest, Hungary
Interests: citizen science; participatory research; food systems

Special Issue Information

Dear Colleagues,

In general, citizen science means the engagement of the general public in research practices. Traditionally, the domain of citizen science lies in natural and environmental sciences, where collecting a vast amount of data by volunteers is welcome, effective, and facilitative (e.g., Miller-Rushing, Primack and Bonney, 2012). Social sciences and humanities research projects have recently grown in importance, calling for better cooperation with citizen science, stressing the potential of the democratization of scientific knowledge (Wannemacher et al., 2018). With the emergence of open science and public engagement. it has become an attractive and valuable tool for spatiotemporal research (Trojan et al., 2019). The approaches to how people participate on a voluntary basis in research vary from crowdsourcing (citizens as sensors, volunteered computing) and participatory science (citizens as basic interpreters) to “extreme” citizen science (collaborative science, where citizens participate in the problem definition, data collection, analysis, and where they also act as interpreters; for a deeper classification, see Haklay, 2013; Haklay, 2018).

Geography is one of the key disciplines that plays a major role in the construction of citizen science methods and practices (Trojan et al., 2019). Hence, a lot of applications can be found in contemporary geographical research. Projects such as OpenStreetMap or Wikipedia, which has its own geographical section called Geo-Wiki based on Earth surface observations, are part of the everyday-used (and cited) examples of a huge participatory effort completely made by citizens. We are quickly moving forward from the forms of volunteered geographical information—citizen science is part of geographical research not only in the environmental sciences (where public participation has a great impact) but also in human geography and the social sciences in general. Small participatory initiatives and public engagement activities are being implemented in many cities, with various purposes, such as land use planning, air quality monitoring, crisis management, and social inclusion (or exclusion) of disabled people. On the other side, this poses ethical issues that need to be considered (Purdam, 2018). Especially through mapping of the urban environment, people make visible beneficial social and environmental objects, which can be used by interested or vulnerable groups of people: for example, in mapping food initiatives, the conditions for handicapped people, ‘green’ mapping, and even contributions to urban design creation (Mueller, 2018).

The second important aspects of the Special Issue are related to the developing role of citizen science and open science. We focus on the changing approaches to science, research, and development related to the turn to openness and transparency, which has made science more open and inclusive, even for non-researchers (Mirowski, 2018). Reproducible and collaborative research, which is driven by open access principles, involves citizens in many research fields. We also discuss the future challenges of citizen science and its potential, which for the time being seems to be not fully utilized in some fields, including geographical research.

This Special Issue aims to gather a collection of papers that primarily connect social, geographical research and citizen science, including innovative practices and projects, making science more open and interactive with laypeople. The intersection of citizen science with other research domains makes this Special Issue open to geographers, environmentalists, sociologists, and other experts in the different social science fields where the principles of citizen science could be broadly used. Theoretical and methodological contributions are welcomed, as well as relevant empirical case studies with high impact potential. We welcome contributions from geographically, economically and even socioculturally diverse countries, regions or cities.

Suggested topics for the Special Issue:

  • citizen science projects empowering civil society development;
  • technological approaches to citizen science – volunteered geographical information, metadata, mobile applications;
  • machine learning, artificial intelligence and citizen science;
  • comparative studies in citizen science;
  • community-based ways of participation in citizen science
  • informal or invisible citizen science practices and how these could reiterate some debates in the "west" on definitions or SDGs.
  • high-impact case studies – citizen science as a key approach in various geographical, sociological, economic or environmental projects.

References:

Haklay, M. (2013): Citizen science and volunteered geographic information: Overview and typology of participation. In: Sui, D., Elwood, S., Goodchild, M. [eds.]: Crowdsourcing geographic knowledge (pp. 105–122). Dordrecht, Springer.

Haklay, M. (2018): Participatory citizen science. In: Hecker, S., Haklay, M., Bowser, A., Makuch, Z., Vogel, J., Bonn, A.: Citizen Science: Innovation in Open Science, Society and Policy (pp. 52–62). London, UCL Press

Miller-Rushing, A., PRIMACK, R., BONNEY, R. (2012): The history of public participation in ecological research. Frontiers in Ecology and the Environment, 10(6): 285–290

Mirowski, P. (2018): The future(s) of open science. Social Studies of Science, 48(2): 171–203.

Purdam, K. (2014): Citizen Social Science and Citizen Data? Methodological and Ethical Challenges for Social Research. Current Sociology, 62: 374– 92

Trojan, J., SCHADE, S., LEMMENS, R., FRANTÁL, B. (2019). Citizen science as a new approach in Geography and beyond: Review and reflections. Moravian Geographical Reports, AV ČR, Institute of Geonics, Czech Academy of Sciences, 2019, roč. 27, č. 4, s. 254-264. ISSN 1210-8812. doi:10.2478/mgr-2019-0020.

Wannemacher, K., Birli, B., Sturn, T., Stiles, R., Moorthy, L., See, L., Fritz, S. (2018): Using Citizen Science to Help Monitor Urban Landscape Changes and Drive Improvements. GI_Forum, (1): 336–343.

Dr. Barbora Duží
Dr. Jakub Trojan
Prof. Eglė Butkevičienė
Dr. Bálint Balázs
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • participatory research
  • volunteered geographical information
  • environment
  • geography
  • social sciences
  • environmental activism
  • civic participation
  • social innovations
  • sustainable development
  • civic society
  • open science

Published Papers (7 papers)

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Research

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15 pages, 1784 KiB  
Article
Seven Hundred Projects in iNaturalist Spain: Performance and Lessons Learned
by Gloria Martínez-Sagarra, Felipe Castilla and Francisco Pando
Sustainability 2022, 14(17), 11093; https://doi.org/10.3390/su141711093 - 05 Sep 2022
Cited by 4 | Viewed by 1900
Abstract
Citizen science projects seem to have a high potential to provide systematized, high-quality biodiversity observations for science and other purposes. iNaturalist offers users purposeful participation by creating projects that allow observations to be grouped with a taxonomic and geographic focus, as well as [...] Read more.
Citizen science projects seem to have a high potential to provide systematized, high-quality biodiversity observations for science and other purposes. iNaturalist offers users purposeful participation by creating projects that allow observations to be grouped with a taxonomic and geographic focus, as well as on a given time scale. Between 2014 and December 2021, 720 iNaturalist projects have been created for Spain, most of them after the establishment of Natusfera—the Spanish branch of the iNaturalist global Community—in 2020. In this paper, we analyze how iNaturalist projects are created; how they perform in terms of engagement, data contribution, and impact; and assess the degree and possible causes of their success. A database with project descriptors and indicators was created for this purpose. We discovered that a high percentage of the projects (more than 25%) perform far short of expectations, and that bioblitzes are in general very successful in terms of creation, dissemination, and participation. Finally, we present some recommendations aiming to make these projects more effective. Full article
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17 pages, 3736 KiB  
Article
Citizen Science as an Innovative Approach to Analyze Spatial and Temporal Influences on Nitrate Pollution of Water Bodies: Results of a Participatory Research Project in Germany
by Frauke Brockhage, Mientje Lüsse, Jörg Klasmeier, Verena Pietzner and Marco Beeken
Sustainability 2022, 14(15), 9516; https://doi.org/10.3390/su14159516 - 03 Aug 2022
Viewed by 1996
Abstract
Anthropogenic influences and the excessive input of reactive nitrogen compounds into the environment have already severely destabilized the natural nitrogen cycle. Especially in northwestern Germany, many water bodies are polluted by nitrate, inducing negative effects on the ecosystem and drinking water as well [...] Read more.
Anthropogenic influences and the excessive input of reactive nitrogen compounds into the environment have already severely destabilized the natural nitrogen cycle. Especially in northwestern Germany, many water bodies are polluted by nitrate, inducing negative effects on the ecosystem and drinking water as well as possible risks to human health. In cooperation with almost 600 citizens and 200 students, this issue was addressed in a citizen science project carried out by the Universities of Osnabrück and Oldenburg, gathering 8754 nitrate measurements at 545 monitoring sites from September 2019 to March 2021. The data were used to evaluate the potential of citizen science for research on nitrogen pollution of water bodies. In a pre-investigation, we proved that nitrate test strips are suitable as a measurement method for the citizen science approach to provide an overview of nitrate pollution. We then analyzed whether the citizen science approach can be used to establish an area-wide representative measurement network, to what extent the data can be used for spatial and temporal analyses, and whether the data are consistent with the results of other monitoring initiatives. For this purpose, geoprocessing tools, such as spatial joins and heatmaps, were combined with descriptive statistics and nonparametric statistical tests. Although it was not possible to establish a representative monitoring network due to the uneven spatial distribution of monitoring sites, a large part of the intended area was covered by monitoring sites. Thus, the data provide a good overview of the nitrate pollution in the region and shed light on influencing factors. Spatial impacts, such as land cover and use and hydrogeological conditions, as well as seasonal impacts were statistically evidenced with the citizen science data. Furthermore, the consistency of the data with the measurement results of established measurement initiatives confirm the quality of the citizen science dataset. Accordingly, citizen science can be used to investigate spatial and temporal factors influencing nitrogen pollution, and thus contributes to water conservation research as an innovative approach. Full article
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23 pages, 3642 KiB  
Article
Fostering Resilience and Adaptation to Drought in the Southern High Plains: Using Participatory Methods for More Robust Citizen Science
by Jacqueline M. Vadjunec, Nicole M. Colston, Todd D. Fagin, Austin L. Boardman and Brian Birchler
Sustainability 2022, 14(3), 1813; https://doi.org/10.3390/su14031813 - 05 Feb 2022
Cited by 4 | Viewed by 2912
Abstract
Citizen science holds the potential and capacity to change the role of science in the face of current and impending environmental sustainability challenges. However, the sustainability science community must also address the ethical challenges inherent in the nature and outcomes of citizen participation [...] Read more.
Citizen science holds the potential and capacity to change the role of science in the face of current and impending environmental sustainability challenges. However, the sustainability science community must also address the ethical challenges inherent in the nature and outcomes of citizen participation and inclusion. In this article, we provide a brief history of Participatory Action Research (PAR), long popular in the social sciences, and explain how participatory methods can inform the process and products of citizen science to meet the dueling ideals of ethically engaging communities and producing more robust science. Our decade of human-environment research on drought resilience and adaptation in the Southern High Plains of the United States illustrates how PAR complements formal science and can contribute to community resilience and adaptation efforts. Synthesized into 10 entry points for more ethical and participatory science, our semi-chronological narrative offers concrete strategies informed by PAR principles and values, at various stages of research, and highlights the place-based, ethical, and methodological contexts for applying each strategy. Full article
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24 pages, 2360 KiB  
Communication
Humanitarian Mapping as a Contribution to Achieving Sustainable Development Goals: Research into the Motivation of Volunteers and the Ideal Setting of Mapathons
by Radim Štampach, Lukáš Herman, Jakub Trojan, Kateřina Tajovská and Tomáš Řezník
Sustainability 2021, 13(24), 13991; https://doi.org/10.3390/su132413991 - 18 Dec 2021
Cited by 5 | Viewed by 2557
Abstract
Missing Maps is a humanitarian mapping project that maps vulnerable places in the developing world. Its outcomes are used to target aid in affected areas and to help achieve Sustainable Development Goals. A mapathon is an event in which a group of volunteers [...] Read more.
Missing Maps is a humanitarian mapping project that maps vulnerable places in the developing world. Its outcomes are used to target aid in affected areas and to help achieve Sustainable Development Goals. A mapathon is an event in which a group of volunteers maps a defined location. The presented communication answers the following questions: What is the motivation of different contributors in the Missing Maps community in Czechia and Slovakia? How can a mapathon be set up to attract as many participants as possible? How exactly can the contributors to humanitarian mapping subjectively evaluate their contribution so far? A questionnaire about the motivation of contributors and the analysis of statistics from eighteen public mapathons in Brno (Czechia) were used as the primary research methods. The analysis of motivation found six strong motivators. Half of them concern altruism and half of them relate to the importance of the OpenStreetMap project and the mapping community. Analysis of the characteristics of 18 mapathons found that the month of the mapathon had a significant influence on the number of attendants. Statistical analysis confirmed a significant correlation between the number of edits and participants’ self-assessment. This means that humanitarian mappers evaluate their overall contribution very realistically. Analyses with an identical scope are planned for future years. Full article
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14 pages, 2421 KiB  
Communication
The Role of Citizen Science and Deep Learning in Camera Trapping
by Matyáš Adam, Pavel Tomášek, Jiří Lehejček, Jakub Trojan and Tomáš Jůnek
Sustainability 2021, 13(18), 10287; https://doi.org/10.3390/su131810287 - 15 Sep 2021
Cited by 6 | Viewed by 3020
Abstract
Camera traps are increasingly one of the fundamental pillars of environmental monitoring and management. Even outside the scientific community, thousands of camera traps in the hands of citizens may offer valuable data on terrestrial vertebrate fauna, bycatch data in particular, when guided according [...] Read more.
Camera traps are increasingly one of the fundamental pillars of environmental monitoring and management. Even outside the scientific community, thousands of camera traps in the hands of citizens may offer valuable data on terrestrial vertebrate fauna, bycatch data in particular, when guided according to already employed standards. This provides a promising setting for Citizen Science initiatives. Here, we suggest a possible pathway for isolated observations to be aggregated into a single database that respects the existing standards (with a proposed extension). Our approach aims to show a new perspective and to update the recent progress in engaging the enthusiasm of citizen scientists and in including machine learning processes into image classification in camera trap research. This approach (combining machine learning and the input from citizen scientists) may significantly assist in streamlining the processing of camera trap data while simultaneously raising public environmental awareness. We have thus developed a conceptual framework and analytical concept for a web-based camera trap database, incorporating the above-mentioned aspects that respect a combination of the roles of experts’ and citizens’ evaluations, the way of training a neural network and adding a taxon complexity index. This initiative could well serve scientists and the general public, as well as assisting public authorities to efficiently set spatially and temporarily well-targeted conservation policies. Full article
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Review

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22 pages, 4138 KiB  
Review
Engagement and Social Impact in Tech-Based Citizen Science Initiatives for Achieving the SDGs: A Systematic Literature Review with a Perspective on Complex Thinking
by Jorge Sanabria-Z, Berenice Alfaro-Ponce, Omar Israel González Peña, Hugo Terashima-Marín and José Carlos Ortiz-Bayliss
Sustainability 2022, 14(17), 10978; https://doi.org/10.3390/su141710978 - 02 Sep 2022
Cited by 10 | Viewed by 2834
Abstract
Recent years have witnessed significant achievements and technological advances in citizen science (CS) projects; nevertheless, significant global challenges are present. Proof of this is in the joint efforts of international organizations to achieve the 2030 SDG agenda in a complex environment. Thus, UNESCO [...] Read more.
Recent years have witnessed significant achievements and technological advances in citizen science (CS) projects; nevertheless, significant global challenges are present. Proof of this is in the joint efforts of international organizations to achieve the 2030 SDG agenda in a complex environment. Thus, UNESCO has recognized CS as being among the initiatives that could bridge the Science, Technology, and Innovation gap as a substantial resource, given its power to bring the general public closer together. Although tech-based CS projects keep rising, there is limited knowledge about which type of projects might allow participants to develop higher-order complex thinking skills. To that end, this study describes a systematic literature review (SLR) and analysis of 49 CS projects over the last 5 years concerning the technology utilized, the level of citizen involvement, and the intended social impact. The results of the analysis evidenced: (a) broad implementation in Europe on issues of the built environment, disaster risk, and environmental and animal monitoring; (b) prevalence of helix configurations other than the triple, quadruple, and quintuple helix innovation models; (c) a focus on technological developments to improve living conditions in cities; (d) an opportunity to develop applied native technologies; (e) limited development of participants’ complex thinking, when constrained to low levels of involvement; and (f) an opportunity to develop native technologies and promote a higher level of citizen participation, leading to more significant impact whilst developing complex thinking. Full article
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19 pages, 1510 KiB  
Review
The Partnership of Citizen Science and Machine Learning: Benefits, Risks, and Future Challenges for Engagement, Data Collection, and Data Quality
by Maryam Lotfian, Jens Ingensand and Maria Antonia Brovelli
Sustainability 2021, 13(14), 8087; https://doi.org/10.3390/su13148087 - 20 Jul 2021
Cited by 23 | Viewed by 6242
Abstract
Advances in artificial intelligence (AI) and the extension of citizen science to various scientific areas, as well as the generation of big citizen science data, are resulting in AI and citizen science being good partners, and their combination benefits both fields. The integration [...] Read more.
Advances in artificial intelligence (AI) and the extension of citizen science to various scientific areas, as well as the generation of big citizen science data, are resulting in AI and citizen science being good partners, and their combination benefits both fields. The integration of AI and citizen science has mostly been used in biodiversity projects, with the primary focus on using citizen science data to train machine learning (ML) algorithms for automatic species identification. In this article, we will look at how ML techniques can be used in citizen science and how they can influence volunteer engagement, data collection, and data validation. We reviewed several use cases from various domains and categorized them according to the ML technique used and the impact of ML on citizen science in each project. Furthermore, the benefits and risks of integrating ML in citizen science are explored, and some recommendations are provided on how to enhance the benefits while mitigating the risks of this integration. Finally, because this integration is still in its early phases, we have proposed some potential ideas and challenges that can be implemented in the future to leverage the power of the combination of citizen science and AI, with the key emphasis being on citizen science in this article. Full article
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