Incidencia de la ciencia ciudadana en la gestión ambiental del humedal de Córdoba, Bogotá. Colombia

Maestría en Desarrollo Sostenible y Medio Ambiente, Facultad de Ciencias Contables, Económicas y Administrativas.Con el fin de analizar la incidencia de las experiencias de ciencia ciudadana en la toma de decisiones para la conservación del Humedal Córdoba ubicado en Bogotá, se realizó un análisis de los datos e información generados por estos proyectos y entrevistas a profundidad con los diferentes actores, que por más de 20 años han hecho parte de los procesos de conservación y manejo del este humedal. Como resultado se evidenció que los conflictos socioambientales, la gobernanza y el "poder del lugar", son algunos de los factores que afectan la creación de conexiones entre ciencia y toma de decisiones. Gracias a este primer análisis se proponen lineamientos metodológicos para incrementar el impacto de la ciencia ciudadana en la toma decisiones en este ecosistema

Registros biológicos georreferenciados y verificados de especies presentes en páramos y humedales publicados y disponibles a través del SiB Colombia.

Este producto es elaborado por el Programa de Evaluación y Monitoreo del Estado de la Biodiversidad (PEM) en el marco del convenio 005 (13-014) entre el Instituto Humboldt y el Fondo Adaptación, este documento contiene el proceso llevado a cabo para la publicación de registros biológicos de especies presentes en páramos y humedales.BogotáSubdirección de Servicios Científicos y Proyectos Especiale

El projecte BioPlatgesMet implica la ciutadania a conèixer la biodiversitat de les platges metropolitanes utilitzant MINKA

Peer reviewe

A minimum viable ecosystem of services for Citizen Observatories: Cos4Cloud tackling technological challenges in the age of Open Science

VII International Symposium on Marine Sciences (ISMS 2020), 1-3 July 2020 (Barcelona).-- 2 pagesCitizen science is one of the eight priorities of the European Open Science Agenda, together with the creation of the European Open Science Cloud (EOSC, 2018). EOSC incorporates the European Commission’s vision of an extensive infrastructure to support and develop open science in Europe and beyond (European Commission, 2018a). Within this framework, the Horizon 2020 program (2019-2022) Co-designed Citizen Observatories Services for the European Open Science Cloud, ‘Cos4Cloud’, aspires to integrate citizen science in the EOSC ecosystem. Cos4Cloud will develop essential research and technology to co-design and prototype innovative services to address critical challenges faced by citizen observatories. The final goal is to improve the implementation of existing and future citizen observatories and to contribute to ensuring their sustainability European Commission (2018b). Currently, there are dozens of citizen observatories in Europe (WeObserve, 2018). The growing evolution of these COs yields in a community of citizen science that is continuously expanding not only in Europe but also on a global scale. This, in turn, represents large-scale challenges for citizen observatories that must facilitate an efficient capture, identification and validation of data, and the stewardship and storage of large volumes of data in different formats. Additionally, COs must ensure interoperability at a local, regional, and global level that allows scaling the impact of the data overcoming the geographic, thematic, or even linguistic barriers for doing research. The aim of this talk is to present the Minimum Viable Ecosystem (MEV) proposed by Cos4Cloud for tackling the challenges faced by citizen observatories. The MEV will be based on innovative services using deep machine learning, automatic video recognition, advanced mobile app interfaces, and other cutting-edge technologies. The MVE will follow open standards to ensure their interoperability, and offered in agile, fit-for-purpose and sustainable site available through EOSC hub, including a discovery service, to both traditional and citizen scientistsCos4Cloud (Co-designed Citizen Observatories Services for the European Open Science Cloud) is a project supported by European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 863463Peer reviewe

How to define governance in a citizen science network: aproposal for guiding the process

Encounters in Citizen Science - European Citizen Science Association (ECSA), 6-11 September 2020, Trieste, ItalyThe roadmap is a proposal for guiding theprocess of arriving at governance agreementsin knowledge networks—both existing, as wellas emerging—in the field of citizen science. Itis composed of a roadmap and a decision treeof alternatives to be explored according to thepurpose and needs of each network. Itaddresses aspects such as the definition oforganizational approach, operational structure,communication channels, decision-makingmodel and financial sustainability. It was builtfrom the analysis of existing governancemodels and literature review and has guidedthe implementation of governance models oftwo regional networks in IberoamericaPeer reviewe

Cos4Cloud - Integrating Citizen Science in the European Open Science Cloud: Challenges and opportunities for developing a new generation of Citizen Science Observatories

5th Annual International Conference on Participatory Research, Citizen Sciences, Crowd-Innovation and Fab Labs for Peace and Development - 12th Geneva Forum, 7-11 December 2020Citizen science is one of the eight priorities of the European Open Science Agenda, together with the creation of the European Open Science Cloud (EOSC). EOSC incorporates the European Commission’s vision of an extensive infrastructure to support and develop open science and open innovation in Europe and beyond. This new ecosystem provides a virtual environment for all researchers to store, manage, analyze, and re-use their products (software, data, among others.) for research, innovation, and educational purposes. Within this framework, the H2020 ‘Co-designed Citizen Observatories Services for the EOS-Cloud’ project (2019-2022) aspires to integrate citizen science in the EOSC ecosystem. COS4CLOUD aims to develop essential research and technology to co-design and prototype innovative services to address critical challenges faced by citizen observatories. The final goal is to improve the implementation of existing and future citizen observatories and to contribute to ensuring their sustainability. Based on several citizen observatories currently widely in use in Europe and some new ones such as the EU-Citizen.Science, a range of innovative services, will be co-designed, prototyped, and implemented. These innovative services range from tools for improving data and information quality using deep machine learning, automatic video recognition, advanced mobile app interfaces, and other cutting-edge technologies, as well as mechanisms to ensure the visibility and recognition of data contributors and the tools to improve networking between various stakeholders. The design of these new services is user-oriented, engaging a wide range of stakeholders in society (public sector, industry, SMEs, academia, education, and research agencies) to co-design requirements and satisfy user needs. For co-design, developing, and testing services, COS4CLOUD will develop a diverse range of activities from datathons, hackathons, among others; as well as creating a space for knowledge exchange and sharing best practice. These activities could be a useful space for promoting the collaborative work between citizen observatories, especially in common challenges about infrastructure and technology. Likewise, enhance the networking between them and search for opportunities and solutions for their sustainability. Apart from inviting the citizen science community to involve in COS4CLOUD, we will share the progress in some of the questions that COS4CLOUD is working on like: How these innovative services could contribute to the implementation of Open Science in Europe? Which are the potential connections with other ongoing initiatives (i.e. Eu-Citizen.Science, ...) ? What are the challenges faced by citizen observatories in terms of quality and interoperability? What are the opportunities that new technologies are bringing? How to implement FAIR data approach in citizen science and what is lacking in this approach from the perspective of citizen science?Peer reviewe

Governance roadmap for a citizen science network: A proposal for guiding the process

1 page, figuresThis governance roadmap aims to guide people and organizations that wish to create or strengthen a network. It is a proposal for providing a structured framework for instituting governance arrangements. It is made up of a governance -process, roadmap and decision tree- with options to be explored and assessed based on the purpose, needs, and capacities of each network. It addresses aspects such as the definition of organizational approach, operational structure, communication channels, decision-making model and financial sustainability. It was built from the analysis of existing governance models and literature review and has guided the implementation of governance models of three regional networks in IberoamericaPeer reviewe

Challenges for Marine Ecological Assessments: Completeness of Findable, Accessible, Interoperable, and Reusable Biodiversity Data in European Seas

13 pages, 6 figures, 2 tables, supplementary material https://www.frontiersin.org/articles/10.3389/fmars.2021.802235/full#supplementary-material.-- Data Availability Statement: The datasets analyzed for this study can be found in the GBIF (www.gbif.org, accessed in June 2021) through different queries. Details on each query and associated DOIs are included in the article/Supplementary Table 1. Further inquiries can be directed to the corresponding authorThe ongoing contemporary biodiversity crisis may result in much of ocean’s biodiversity to be lost or deeply modified without even being known. As the climate and anthropogenic-related impacts on marine systems accelerate, biodiversity knowledge integration is urgently required to evaluate and monitor marine ecosystems and to support suitable responses to underpin a sustainable future. The Census of Marine Life (CoML, 2000–2010) was the largest global research program on marine biodiversity. A decade after, and coinciding with the steep increase of digitalization of our society, we review existing findability, accessibility, interoperability, and reusability (FAIR) biodiversity data coming from one of the most reliable online information systems: the Global Biodiversity Information Facility (GBIF). We evaluate the completeness of available datasets with respect to the CoML benchmark, along with progresses in understanding spatial–temporal patterns of marine biodiversity in the European Seas in the last decades. Overall, we observe severe biases in available biodiversity data toward the north-western marine regions (particularly around the United Kingdom and the North Sea), the most recent years (with a peak in the number of reported occurrences in the 2010s) and the most conspicuous, abundant, and likely “appealing” taxa (e.g., crustaceans, echinoderms or fish). These biases may hamper research applications, but also global-scale data needs and integrative assessments required to support cost-effective progresses toward global biodiversity conservation. National to international joint efforts aimed at enhancing data acquisition and mobilization from poorly known regions, periods, and taxa are desirable if we aim to address these potential biases for the effective monitoring of marine ecosystems and the evaluation of ongoing impacts on biogeographic patterns and ecosystem functioning and servicesThis work has been co-funded by the H2020 MINKE (Metrology for Integrated Marine Management and Knowledge-Transfer Network; grant agreement No. 101008724), the H2020 Cos4Cloud (co-designed citizen observatories for the European Open Science Cloud EOSC – Cos4Cloud; grant agreement No. 863463), and H2020-FutureMares (Climate Change and Future Marine Ecosystem Services and Biodiversity; grant agreement No. 869300), and the Spanish government through the “Severo Ochoa Center of Excellence” accreditation (grant agreement No. CEX2019-000928-S, hereafter SO). FR was supported by SO and VS by a “Juan de la Cierva Incorporación” research fellowship (grant agreement No. IJC2018-035389-I) granted by the Spanish Ministry of Science and InnovationPeer reviewe

Informe Anual SiB Colombia - 2015

Informe anual del SiB ColombiaBogotá, Colombi