Distributed Production Environment for Physics Data Processing

The mission of the Worldwide LHC Computing Grid (LCG) project is to build and maintain a data storage and analysis infrastructure for the entire high energy physics community that will use the LHC

Citizen science and the United Nations Sustainable Development Goals

Traditional data sources are not sufficient for measuring the United Nations Sustainable Development Goals. New and non-traditional sources of data are required. Citizen science is an emerging example of a non-traditional data source that is already making a contribution. In this Perspective, we present a roadmap that outlines how citizen science can be integrated into the formal Sustainable Development Goals reporting mechanisms. Success will require leadership from the United Nations, innovation from National Statistical Offices and focus from the citizen-science community to identify the indicators for which citizen science can make a real contribution

Co-creation in practice: from bottom up to top down

Co-created citizen science projects are considered to enhance active, inclusive, and wide participation, and significantly improve the quality of public participation. However, fully co-created projects are still rare in citizen science (CS), where many projects aim primarily at overcoming the capacity of current research structures and involve participants only for the collection, and sometimes the analysis, of large-scale data. In addition, in many research areas professional researchers are used to having full control of their methodology and processes; in the majority of cases, they consider CS late in the process, when they already have a clear and well-defined idea of their research plans and needs, with little or no space left for the contribution of citizens. How can the citizen science community of practitioners better encourage and support real co-creation? This paper discusses a workshop at the Engaging Citizen Science Conference 2022 in which the authors shared their experiences of co-created CS projects from three existing CS centers: the Citizen Science Center in Zürich (Mondardini, Director), the Citizen Science Lab in Leiden (Gold, Coordinator) and the Citizen Science Knowledge Center at Southern Denmark University in Odense (Kaarsted, Deputy Library Director).ISSN:1824-803

CERN Webfest 2022

CERN Webfest 2022 - session 2 16:00 - 18:00 CEST https://cern.zoom.us/j/68164668454?pwd=VlBqNnhQc0M0Sm1Zbnp6SnlybmpWZz0

CERN Webfest 2022

Third session of the CERN Webfest. Zoom link: https://cern.zoom.us/j/62265540510?pwd=N1JscDJEMzM3R3pFcU9DeDhnaGtOdz0

Citizen science and the United Nations Sustainable Development Goals

Traditional data sources are not sufficient for measuring the United Nations Sustainable Development Goals. New and non-traditional sources of data are required. Citizen science is an emerging example of a non-traditional data source that is already making a contribution. In this Perspective, we present a roadmap that outlines how citizen science can be integrated into the formal Sustainable Development Goals reporting mechanisms. Success will require leadership from the United Nations, innovation from National Statistical Offices and focus from the citizen-science community to identify the indicators for which citizen science can make a real contribution

The Critical Importance of Citizen Science Data

Citizen science is an important vehicle for democratizing science and promoting the goal of universal and equitable access to scientific data and information. Data generated by citizen science groups have become an increasingly important source for scientists, applied users and those pursuing the 2030 Agenda for Sustainable Development. Citizen science data are used extensively in studies of biodiversity and pollution; crowdsourced data are being used by UN operational agencies for humanitarian activities; and citizen scientists are providing data relevant to monitoring the sustainable development goals (SDGs). This article provides an International Science Council (ISC) perspective on citizen science data generating activities in support of the 2030 Agenda and on needed improvements to the citizen science community's data stewardship practices for the benefit of science and society by presenting results of research undertaken by an ISC-sponsored Task Group