Number of tweets related to each SDG in Citizen Science conversations.
Abstract:
Citizen science (CS) involves volunteers who participate in scientific research by collecting data or by addressing the needs of the project they are involved in. In the ...Show MoreMetadata
Abstract:
Citizen science (CS) involves volunteers who participate in scientific research by collecting data or by addressing the needs of the project they are involved in. In the last years, there has been an increasing interest in how CS can contribute to the achievement of the UN Sustainable Development Goals (SDGs), that aim to reach a sustainable future. Research about data quality has taught us that through using an appropriate methodology, CS can foster scientific knowledge and promote specific actions to achieve accomplish goals. However, there is not much information about the SDGs that CS is more interested in. This paper presents a long-term study on how CS discuss about SDGs in Twitter, aiming to classify the discussion around the SDGs. The paper reports on a variety of topics such as open science, innovation and biodiversity, among others, but the results show that the most addressed topic in CS discussions in Twitter is about climate change, with corresponds to the SDG 13. Based on these findings, it is possible to affirm that climate change is a hot topic in CS in Twitter. However, there are also other SDGs that although underrepresented, are also discussed in CS.
Number of tweets related to each SDG in Citizen Science conversations.
Published in: IEEE Access ( Volume: 9)
Funding Agency:
Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, Móstoles, Spain
David Roldán-álvarez received the Ph.D. degree from Universidad Rey Juan Carlos, in July 2017. He is currently working as a Doctoral Assistant Professor at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, combining his teaching work with participation in research projects. He has participated as a Researcher and a Developer in three R+D+i projects and transfer to industry (Bluet...Show More
David Roldán-álvarez received the Ph.D. degree from Universidad Rey Juan Carlos, in July 2017. He is currently working as a Doctoral Assistant Professor at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, combining his teaching work with participation in research projects. He has participated as a Researcher and a Developer in three R+D+i projects and transfer to industry (Bluet...View more
Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, Móstoles, Spain
Fernando Martínez-Martínez received the joint master’s degree in bioinformatics and biostatistics from the Universidad de Barcelona and the Universidad Oberta de Catalunya. His current work is at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, as a Programmer Technician associated to the European CS-Track project. He has participated as a Researcher and a Developer with the Jos...Show More
Fernando Martínez-Martínez received the joint master’s degree in bioinformatics and biostatistics from the Universidad de Barcelona and the Universidad Oberta de Catalunya. His current work is at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, as a Programmer Technician associated to the European CS-Track project. He has participated as a Researcher and a Developer with the Jos...View more
Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, Móstoles, Spain
Estefanía Martín was the Vice Principal of promotion and research (Subdirectora de Promoción e Investigación) with the URJC School of Computer Science (Escuela Técnica Superior de Ingenería Informática), from December 2015 to January 2020. She is currently an Associate Professor of technology-enhanced learning at the LITE Laboratory, Universidad Rey Juan Carlos (URJC). She leads BlueThinking, an application that allows th...Show More
Estefanía Martín was the Vice Principal of promotion and research (Subdirectora de Promoción e Investigación) with the URJC School of Computer Science (Escuela Técnica Superior de Ingenería Informática), from December 2015 to January 2020. She is currently an Associate Professor of technology-enhanced learning at the LITE Laboratory, Universidad Rey Juan Carlos (URJC). She leads BlueThinking, an application that allows th...View more
Instituto de Ingeniería del Conocimiento, Madrid, Spain
Pablo A. Haya received the bachelor’s and master’s degrees in telecommunications engineering from the Universidad Politécnica Madrid and the Ph.D. degree in computer science engineering, and telecommunications from the Universidad Autónoma of Madrid, in 1999 and 2006, respectively. He is currently the Head of the Social Business Analytics (SBA) Group, Instituto de Ingeniería del Conocimiento (IIC). He is focused on provid...Show More
Pablo A. Haya received the bachelor’s and master’s degrees in telecommunications engineering from the Universidad Politécnica Madrid and the Ph.D. degree in computer science engineering, and telecommunications from the Universidad Autónoma of Madrid, in 1999 and 2006, respectively. He is currently the Head of the Social Business Analytics (SBA) Group, Instituto de Ingeniería del Conocimiento (IIC). He is focused on provid...View more
Contents Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, Móstoles, Spain
David Roldán-álvarez received the Ph.D. degree from Universidad Rey Juan Carlos, in July 2017. He is currently working as a Doctoral Assistant Professor at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, combining his teaching work with participation in research projects. He has participated as a Researcher and a Developer in three R+D+i projects and transfer to industry (Bluethinking of the Orange Foundation, Clipper of JISC, and DEDOS of ISBAN) and five research projects, of which three are national (TIC and TIN programs) and two are international (FP7, 2012–2015 and SwafS 2019-2022). His interests include teaching innovation through technology to improve both the performance of teachers and the performance of students.
David Roldán-álvarez received the Ph.D. degree from Universidad Rey Juan Carlos, in July 2017. He is currently working as a Doctoral Assistant Professor at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, combining his teaching work with participation in research projects. He has participated as a Researcher and a Developer in three R+D+i projects and transfer to industry (Bluethinking of the Orange Foundation, Clipper of JISC, and DEDOS of ISBAN) and five research projects, of which three are national (TIC and TIN programs) and two are international (FP7, 2012–2015 and SwafS 2019-2022). His interests include teaching innovation through technology to improve both the performance of teachers and the performance of students.View more
Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, Móstoles, Spain
Fernando Martínez-Martínez received the joint master’s degree in bioinformatics and biostatistics from the Universidad de Barcelona and the Universidad Oberta de Catalunya. His current work is at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, as a Programmer Technician associated to the European CS-Track project. He has participated as a Researcher and a Developer with the Josep Carreras Leukaemia Research Institute (IJC) in the research project evaluation of the contribution of polymorphic transposons to infertility and other phenotypes in mice, in 2020. His interests include machine learning and AI to innovate in the research field, alongside with data analysis of medical, biological, and social features.
Fernando Martínez-Martínez received the joint master’s degree in bioinformatics and biostatistics from the Universidad de Barcelona and the Universidad Oberta de Catalunya. His current work is at the Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, as a Programmer Technician associated to the European CS-Track project. He has participated as a Researcher and a Developer with the Josep Carreras Leukaemia Research Institute (IJC) in the research project evaluation of the contribution of polymorphic transposons to infertility and other phenotypes in mice, in 2020. His interests include machine learning and AI to innovate in the research field, alongside with data analysis of medical, biological, and social features.View more
Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, Móstoles, Spain
Estefanía Martín was the Vice Principal of promotion and research (Subdirectora de Promoción e Investigación) with the URJC School of Computer Science (Escuela Técnica Superior de Ingenería Informática), from December 2015 to January 2020. She is currently an Associate Professor of technology-enhanced learning at the LITE Laboratory, Universidad Rey Juan Carlos (URJC). She leads BlueThinking, an application that allows the person with ASD to learn programming and improve their executive funtions; DEDOS project, which provides authoring tools for creating educational activities on multiple devices, and ClipIt, a video-based social network platform that has been developed in the context of the European Union project JuxtaLearn. Furthermore, she is CoPI of CS-Track project focused on Citizen Science. Her research interests include HCI, people with disabilities, CSCL, e-learning, blended learning, video-based learning, recommender systems, and authoring tools.
Estefanía Martín was the Vice Principal of promotion and research (Subdirectora de Promoción e Investigación) with the URJC School of Computer Science (Escuela Técnica Superior de Ingenería Informática), from December 2015 to January 2020. She is currently an Associate Professor of technology-enhanced learning at the LITE Laboratory, Universidad Rey Juan Carlos (URJC). She leads BlueThinking, an application that allows the person with ASD to learn programming and improve their executive funtions; DEDOS project, which provides authoring tools for creating educational activities on multiple devices, and ClipIt, a video-based social network platform that has been developed in the context of the European Union project JuxtaLearn. Furthermore, she is CoPI of CS-Track project focused on Citizen Science. Her research interests include HCI, people with disabilities, CSCL, e-learning, blended learning, video-based learning, recommender systems, and authoring tools.View more
Instituto de Ingeniería del Conocimiento, Madrid, Spain
Pablo A. Haya received the bachelor’s and master’s degrees in telecommunications engineering from the Universidad Politécnica Madrid and the Ph.D. degree in computer science engineering, and telecommunications from the Universidad Autónoma of Madrid, in 1999 and 2006, respectively. He is currently the Head of the Social Business Analytics (SBA) Group, Instituto de Ingeniería del Conocimiento (IIC). He is focused on providing solutions that analyze individual and social human behavior by means of state-of-the-art technologies, such as natural language processing, social network analysis, and machine learning. He has published more than 70 journal articles, book chapters, and conference proceedings. Currently, his research interests include social computing and human–computer interaction with a particular focus on their application into social media and technology-enhanced learning.
Pablo A. Haya received the bachelor’s and master’s degrees in telecommunications engineering from the Universidad Politécnica Madrid and the Ph.D. degree in computer science engineering, and telecommunications from the Universidad Autónoma of Madrid, in 1999 and 2006, respectively. He is currently the Head of the Social Business Analytics (SBA) Group, Instituto de Ingeniería del Conocimiento (IIC). He is focused on providing solutions that analyze individual and social human behavior by means of state-of-the-art technologies, such as natural language processing, social network analysis, and machine learning. He has published more than 70 journal articles, book chapters, and conference proceedings. Currently, his research interests include social computing and human–computer interaction with a particular focus on their application into social media and technology-enhanced learning.View more