The following section provides a comprehensive list of all CS Track public project  outputs including publications and is updated on a regular basis by team members. Outputs are sorted below under different categories and links to where they can be easily downloaded are included for each entry. If you have any specific enquiries about any of these outputs, you can contact the project team by sending a mail to info@cstrack.eu.

Peer-reviewed Publications

Amarasinghe, I., Manske, S., Hoppe, H.U., Santos, P. and Hernández-Leo, D. (2021). Using Network Analysis to Characterize Participation and Interaction in a Citizen Science Online CommunityCollaboration Technologies and Social Computing, pp.67–82. doi:10.1007/978-3-030-85071-5_5.

Calvera Isabal, M., Santos Rodríguez, P. and Hernández Leo, D. (2021). Citizen science, data science and education: how to support teacher’s inspiration during the learning activities design with technology enhance learning. repositori.upf.edu. [online] Available at: https://repositori.upf.edu/handle/10230/49033

Calvera Isabal, M., Santos Rodríguez, P. and Hernández Leo, D. (2023). Towards Citizen Science-Inspired Learning Activities: The Co-design of an Exploration Tool for Teachers Following a Human-Centred Design ApproachInternational Journal of Human–Computer Interaction, DOI: 10.1080/10447318.2023.2201554

Calvera Isabal, M., Varas Paneque, N. and Santos, P. (2021). Computational techniques for data science applied to broaden the knowledge between citizen science and education. Paper presented at: Doctoral Consortium of the Sixteenth European Conference on Technology Enhanced Learning (EC-TEL); 2021 Sep 20–24, Bolzano, Italy[online] repositori.upf.edu. IADIS Press. Available at: https://repositori.upf.edu/handle/10230/49216

Calvera-Isabal, M., Santos, P., Hoppe, H.-U. and Schulten, C. (2023). How to automate the extraction and analysis of information for educational purposes. Comunicar, 31(74). doi:10.3916/c74-2023-02

De-Groot, R., Golumbic, Y. N., Martínez Martínez, F., Hoppe, H. U., & Reynolds, S. (2022). Developing a framework for investigating citizen science through a combination of web analytics and social science methods—The CS Track perspectiveFrontiers in Research Metrics and Analytics.doi: 10.3389/frma.2022.988544

Krukowski, S., Amarasinghe, I., Gutiérrez-Páez, N. F., & Hoppe, H. U. (2022). Does Volunteer Engagement Pay Off? An Analysis of User Participation in Online Citizen Science Projects. In International Conference on Collaboration Technologies and Social Computing (pp. 67-82). Springer LNCS 13632. ISBN: 978-3-031-20218-6. doi: 10.1007/978-3-031-20218-6_5

Martínez-Martínez F., Roldán-Álvarez D., Martín E., Hoppe H. U. (2023) An analytics approach to health and healthcare in citizen science communications on Twitter. DIGITAL HEALTH. doi:10.1177/20552076221145349

Oesterheld, M., Schmid-Loertzer, V., Calvera-Isabal, M., Amarasinghe, I., Santos, P., and Golumbic, Y.N. (2022). Identifying learning dimensions in citizen science projects. Proceedings of Science (Engaging Citizen Science Conference 2022), 25-26 April 2022. doi: 10.22323/1.418.0070

Peltoniemi, A.J., Kauppinen, H., Lampi, E., Lämsä, J., Sabel, O. and Hämäläinen, R., (2023). How Citizen Scientists Learn: Exploring Learning Perceptions Through an International Survey. Citizen Science: Theory and Practice, 8(1), p.18. DOI: 10.5334/cstp.485

Roldán-Álvarez, D., Martínez-Martínez, F. and Martín, E. (2021). Citizen Science and Open Learning: A Twitter perspective. IEEE Xplore. doi:10.1109/ICALT52272.2021.00009.

Roldan-Alvarez, D., Martinez-Martinez, F., Martin, E. and Haya, P.A. (2021). Understanding discussions of citizen science around Sustainable Development Goals in Twitter. IEEE Access, pp.1–1. doi:10.1109/access.2021.3122086.

Strähle, M., Urban, C. (2022). Inclusion and exclusion in citizen science: A matter of context. in G. Getzinger, M. Jahrbacher, and F. Häller (eds)  Conference Proceedings of the 20th STS Conference Graz 2022, Critical Issues in Science, Technology and Society Studies, 2 – 4 May 2022 (pp. 315 – 329). doi: 10.3217/978-3-85125-932-2-18

Strähle, M., Urban, C. (2022). The Activities & Dimensions Grid of Citizen Science. Proceedings of Science (Engaging Citizen Science Conference 2022), 25-26 April 2022. doi: 10.22323/1.418.0087

Strähle, M., Urban, C. (2023). Why citizen science cannot answer the question of the democratisation of science. Proceedings of Science (Austrian Citizen Science Conference 2022 (ACSC2022)), 28 – 30 June, 2022. doi: 10.22323/1.407.0001

Wuebben, D., Romero-Luis, J., & Gertrudix, M. (2020). Citizen science and citizen energy communities: A systematic review and potential alliances for SDGs. Sustainability, 12(23), 10096. doi:10.3390/su122310096


Evolution of academic publications in citizen science, written by Álvarez, David Roldán in December 2020, this report provides an overview of the nature of academic publishing in citizen science and how this has been changing in recent years. It is available here.

Investigating the potential of citizen science to respond to emerging challenges. A COVID-19 review and case study analysis, written by Turbe, Anne;  Golumbic, Yaela; Farchi, Tslil; De – Groot, Reuma in November 2021. It is available here.


D1.1 Framework Conceptual Model, written by Michael Strähle; Christine Urban; Marinos Anastasakis; Katerina Kikis-Papadakis; Miriam Calvera Isabal; Patricia Santos; Emilia Lampi; Joni Lämsä; Raija Hämäläinen; Julia Lorke; Reuma De-Groot; Yaela Golumbic; Raul Drachman; Ulrich Hoppe; Nils Malzahn; Sven Manske, published in December 2021. This deliverable contains a literature review of citizen science- related topics, situates citizen science in a historical context, discusses various conceptualisations of citizen science, and analyses existing categorisations and typologies of citizen science activities. It then presents a scheme of how citizen science can be categorised and characterised according to a broad range of relevant dimensions. It is available here.

D1.2 Conceptual Framework for Analytics Tools written by Michael Strähle, Christine Urban, Marinos Anastasakis, Smaragda Lymperopoulou, Kathy Kikis-Papadakis, Patricia Santos, Miriam Calvera-Isabal, Ishari Amarasinghe, Ohto Sabel, Aaron Peltoniemi, Emilia Lampi, Joni Lämsä, Raija Hämäläinen, Julia Lorke, Florence Mühlenbein, Marius Oesterheld, Reuma De-Groot, Yaela Golumbic, Raul Drachman, Ulrich Hoppe, Nils Malzahn, Cleo Schulten. Building upon Deliverable D1.1, Deliverable D1.2, goes beyond the report in several respects. This deliverable presents a mapping of citizen science landscapes in the European Union and beyond, of funding programmes, policies, advocacy and working groups and opportunities for participating in citizen science activities. The report also includes interviews with African, Asian, European, and US-American experts on Open Science. It is available here.

D2.2 Final documentation of initiatives selected for analysis written by Patricia Santos, Marinos Anastasakis,  Katherina Kikis-Papadakis, Kai Nils Weeber, Aaron J. Peltoniemi, Ohto Sabel, Raija Hämäläinen, Yaela Golumbic, Reuma De Groot, Tslil Farchi, Anne Turbe, Ulrich Hoppe, Cleo Schulten, Ishari Amarasinghe, Miriam Calvera Isabal, Nicolas Gutierrez Paez,  Davinia Hernández-Leo, David Roldán-Álvarez, Fernando Martínez-Martínez, Marius Oesterheld, Vincent Schmid-Loertzer, Christine Urban, Michael Strähle. This deliverable documents the collection of resulted studies developed in the context of WP2. This documentation also contains an overview analysis of the final content collected in the CS Track database including general descriptors, and three detailed sections where the information from the database is classified according to research areas, Sustainable Development Goals and skills of science inquiry (aspects that have been identified as relevant by WP3 and WP4). Finally, a final section discussing what we have learned in the process of analysing CS project descriptions, and suggest guidelines for writing clear and informative project descriptions. The full deliverable is available here.

D2.3 Documentation of datasets produced from selected CS activities in Europe written by Patricia Santos, Marinos Anastasakis,  Katherina Kikis-Papadakis, Kai Nils Weeber, Aaron J. Peltoniemi, Ohto Sabel, Raija Hämäläinen, Yaela Golumbic, Reuma De Groot, Tslil Farchi, Anne Turbe, Ulrich Hoppe, Cleo Schulten, Ishari Amarasinghe, Miriam Calvera Isabal, Nicolas Gutierrez Paez,  Davinia Hernández-Leo, David Roldán-Álvarez, Fernando Martínez-Martínez, Marius Oesterheld, Vincent Schmid-Loertzer, Christine Urban, Michael Strähle. This deliverable compiles datasets that have been generated in the context of the work done by WP2. In addition to this, the source code to replicate the CS Track database is reported as well in this deliverable, mainly because this database has been used as the main source to generate the corresponding datasets. The full deliverable is available here.

D3.1 Specification of Web-based Analytics Methods and Tools written by Laia Albó; Miriam Calvera Isabal; Sven Manske; David Roldán Álvarez; Davinia Hernández-Leo; Nils Malzahn; Raul Drachman; Julia Lorke; eited by H. Ulrich Hoppe and published in September 2021. This deliverable specifies the WP3 approach in terms of the selection and description or pertinent methods and their rlevance in the citizen science context. In addition to the general rationale, this is illustrated by an example application of network analysis techniques to a Zooniverse case. The final section explains the intended usage of the methodology regarding the interplay with other work packages and information provided to the outside. It is available here.

D3.2 Web Analytics Toolset and Workbench written by Cleo Schulten, Sven Manske, Fernando Martínez
Martínez, David Roldán Álvarez, H. Ulrich Hoppe in December 2021
. The “Analytics Workbench” is a software platform developed within the CS Track project as a product of Task T3.2. The main deliverable is a software published on GitHub under an open-source software license. In addition to the software, this document provides an overview of the functional characteristics of the Analytics Workbench. In month 24, a workshop with potential users from the stakeholder groups has been conducted to evaluate the usability and utility of the tool. Preliminary results of the evaluation are included in this deliverable.

D3.3 Web Analytics – Final Report written by Simon Krukowski (editor), H. Ulrich Hoppe, Cleo Schulten, Fernando Martínez Martínez, Miriam Calvera Isábal, Nicolás Gutiérrez Páez. Additional contributors: Aaron Peltoniemi (internal review), Nils Malzahn , Patricia Santos Rodríguez , David Roldán Álvarez, Estefanía Martín Barroso. This deliverable wraps up the work on “web-based analytics” in WP3 in addition to the previous deliverables on “methods and tools” (D3.1) and on design and implementation of the Analytics Workbench and tools (D3.2). The full deliverable is available here.

D4.2 White paper: Themes, objectives and participants of citizen science activities, written by Samu Paajanen;  Emilia Lampi; Jona Lämsä; Raija Hämäläinen, published in June 2021, This white paper summarises the main characteristics of the themes, objectives and participants of citizen science activities. It is available here.  

D4.3 Models to identify background factors associated with the CS activity, written by Ohto Sabel, Aaron Peltoniemi, Heli Kauppinen, Kari Nissinen, Joni Lämsä, Emilia Lampi, Raija Hämäläinen in January 2022. This deliverable is based on the analysis of the CS Track survey. It summarizes the characteristics of citizen scientists, discusses how learning and knowledge building occurs and explicates the structure and basis needed to build models that illustrate the associations between background factors and different forms of citizen science activities. It is available here.

D4.4 Policy recommendations based on CS Track results written by Ohto Sabel, Aaron Joshua Peltoniemi, Kai Weeber, Paavo Räty, Katariina Sipiläinen, Raija Hämäläinen, Michael Strähle, Christine Urban, Katerina Kikis-Papadakis. This deliverable presents policy recommendations based on the research conducted in the CS Track project. The construction of the policy recommendations involved a three-phase collaborative and qualitative decision-making process, which represents our research-based understanding of the current needs for policy recommendations in citizen science. The full deliverable is available here.

D4.5 The accreditation discussion paper written by Aaron J. Peltoniemi, Marinos Anastasakis, Raul Drachman, Yaela Golumbic, Marius Oesterheld. This deliverable discusses the topic of accreditation in Citizen Science (CS)
as it stands and highlights the potential for developing it in the future. The topic was already suggested in the preparation stage of CS Track’s proposal as a result of discussions about CS and its relation to education, measuring the quality of CS projects, and the value it returns to participants as well as a desire to create policy recommendations in this sense. This discussion paper serves as an exploration of what accreditation means or can mean in CS, for whom it may be beneficial, and who is or should be responsible for accreditation-related practices. The full deliverable is available here.

D5.2 First publication of the e-magazine, written by Manuel Gértrudix, Begoña Rivas, Juan Romero-Luis, Alejandro Carbonell in January 2021.This deliverable explains and documents the process followed from the preparation of Deliverable 5.1 to the launch of the e-Magazine and the publication of the first issue. It is available here.

D5.3 Maintenance and Legacy for Community Platform written by Manuel Gértrudix , Alberto Sánchez Acedo, Juan Romero-Luis, Alejandro Carbonell in September 2022. This deliverable submitted at the end of the 34th month of the project shows the results of work carried out over 24 months dedicated to the maintenance and legacy of the CS Track Community Platform published in cstrack.eu To guarantee the sustainability of the Community Platform, this deliverable provides the necessary technical and editorial documentation showing how to use it, including back-up practices, data policy and comprehensive documentation of the legacy of the platform and content published in the eMagazine. To contextualize the legacy information and facilitate the operation of the Community Platform in the future, the document offers a historical review of the actions taken to include successive improvements in the Community Platform to contextualize the updates done, and the result obtained.

D6.5 Community of Interest support plan, written by Sally Reynolds, Peter Andries, Mathy Vanbuel and Dovile Dudenaite in January 2021. This deliverable  provides a description of how the Community of Interest is being developed and supported in collaboration with WP5. It provides a summary description of who is considered to be our community of interest, the channels we will use to address this community and the various activities that we will undertake.  It is available here.

D7.1 Data Management Plan written by Nils Malzahn and Raul Drachman in May 2020. Our project is about data and information. Responding to the Call, we will expand our knowledge on Citizen Science (CS) and its impact. We will seek this increased knowledge by “observing” a large and diverse set of CS projects, gathering data from the web, questionnaires and interviews of involved players, etc., and from a more direct inspection of running activities. In this deliverable questions pertaining to data and data management from all conceivable angles – collection, storage, safekeeping, preservation, accessibility, retrieval, ethical considerations, etc. – are addressed.


CS Track project description template, created by Yaela Golumbic and Marius Oesterheld. In this document, you will find a 10-step template to help you write an attractive project description. It will guide you regarding the main topics and types of information to include in your description, offer explanations and suggestions for items to consider in each step and provide examples from two hypothetical project descriptions we prepared. The template is available here.

CS Track Investigating Citizen Science brochure. This brochure provides a summary of the research work carried out by the project team in the first 30 months of CS Track’s lifetime. Download the brochure here.

Descriptors informed by platform, written by Calvera Isabal, Miriam; Santos, Patricia; Amarasinghe, Ishari in November 2020, this document is part of project deliverable D2.1: Explorative study of CS projects in Europe, categorization and clustering to build a database of CS projects for analysis, available here.

Using Analytics for Community Monitoring and Support in Online Citizen Science Projects, this abstract followed by slides was used in presentation during CS SDG 2020 conference in Berlin by Manske, Sven;  Lorke, Julia; Lemm, Peter; Hoppe, H. Ulrich in October 2020, this presentation summarises the analytical methodology and approach being used by the CS Track research team, available here.

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