Using network Analysis to Characterize Participation and Interaction in a Citizen Science Online Community, written by Amarasinghe, Ishari ; Manske, Sven; Hoppe, H.Ulrich; Santos, Patricia; hernandez-Leo, Davinia, published by Springer, Cham in August 2021 on 11/2020. DOI: 10.1007/978-3-030-85071-5_5
Citizen Science and Open Learning: A Twitter perspective, written by Roldan-Alvarez, F. Martinez-Martinez and E. Martin, in 2021 International Conference on Advanced Learning Technologies (ICALT), Tartu, Estonia, 2021 pp. 6-8. doi: 10.1109/ICALT52272.2021.00009
Understanding discussions of citizen science around Sustainable Development Goals in Twitter, written by Roldan-Alvarez, D., Martinez-Martinez, F., Martin, E., & Haya, P. (2021).. IEEE Access, 1-1. https://doi.org/10.1109/access.2021.3122086
Citizen science, data science and education: how to support teacher’s inspiration during the learning activities design with technology enhance learning, written by Calvera-Isabal M, Santos P, Hernández-Leo D. . Paper presented at: Doctoral Consortium of the Sixteenth European Conference on Technology Enhanced Learning (EC-TEL); 2021 Sep 20–24, Bolzano, Italy. http://hdl.handle.net/10230/49033
Computational techniques for data science applied to broaden the knowledge between citizen science and education written by Calvera-Isabal M, Varas N, Santos P.. In : Sampson DG, Ifenthaler D, Isaías P, editors. Proceedings of the 18th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2021); 2021 Oct 13-15; Lisbon, Portugal. Lisbon: IADIS Press; 2021. p. 219-26. http://hdl.handle.net/10230/49216
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.
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.
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.
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.