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 Community. Collaboration Technologies and Social Computing, pp.67–82. doi:10.1007/978-3-030-85071-5_5.
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.
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., Varas Paneque, N. and Santos, P. (2021). Computational techniques for data science applied to broaden the knowledge between citizen science and education. [online] repositori.upf.edu. IADIS Press. Available at: https://repositori.upf.edu/handle/10230/49216
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 perspective. Frontiers 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
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
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.
D3.3 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.
D5.1 Technical Specification of the Community Platform, written by Manuel Gértrudix, Begoña Rivas, Juan Romero-Luis, Alejandro Carbonell in August 2020. This deliverable contains the specifications document that describes the technical requirements and the plan for implementation of the Community Platform based on the technical and user needs from the consortium partners. It 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.
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.
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.