10,231 research outputs found
CS Track Investigating Citizen Science brochure
No full textCS Track, a research project funded by the European Commission, aims at broadening knowledge about citizen science by applying data analysis to publicly available information from the web and collecting complementary data through questionnaires and interviews with people who take part in CS activities. For this purpose, CS Track has collected publicly available data on more than 4500 projects from websites and online platforms and conducted
a survey with more than 1000 participants from 30 European countries. Taking this approach, CS Track generated insights about citizen science and its impact in various areas during the past three years.
“Citizen science offers great potential for science and society, but this potential can only be fully realized if certain conditions are met. These conditions for success include, among others, strategies to ensure the active and long-term cooperation of citizen scientists. The aim must be to create an environment that motivates participants to get involved in the respective project - for example through educational offers, regular communication between volunteers and professional scientists in both directions, events, awards, certification and so forth. This aspect in particular is often very time-consuming and cost-intensive for
the project initiators, but can be the deciding factor as to whether a project succeeds or fails.” Dr Raul Drachman, CS Track project coordinator.
This brochure provides a summary of the research work carried out by the project team in the first 30 months of CS Track’s lifetime
Knowledge building and roles in Citizen Science : findings from the CS Track survey 2021
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What technical devices/platforms are used most by Citizen Scientists in their projects?
No full textOf the 12 different tools and platforms that are used in citizen science activities, the top three were websites, smartphones and databases.
Respondents to a survey conducted by the CS Track project indicated that they used technology primarily for gathering scientific data and knowledge as well as for communication and dissemination of information with other enthusiasts and researchers.nonPeerReviewe
CS Track -kyselytutkimusaineisto 2021
No full textCS Track is launching a survey to gather citizen scientists’ (16 year old and older) perspectives on activities and forms of participation, learning and knowledge-building in citizen science (CS) projects. This document presents the information related to data rights, treatment and usage.
The aim of CS Track is to broaden our knowledge about CS and the impact CS activities can have. CS Track will do this by investigating a large and diverse set of CS activities, disseminating best practices and formulating knowledge-based policy recommendations in order to maximise the potential benefits of CS activities for individual citizens, organisations and society. This multi-perspective approach will allow us to shed light on the role of citizen science in society and social attitudes and emerging cultures in communities that engage with science and technology challenges
Track-aligned Extents: Matching Access Patterns to Disk Drive Characteristics (CMU-CS-01-119)
No full textTrack-aligned extents (traxtents) utilize disk-specific knowledge to match access patterns to the strengths of modern disks. By allocating and accessing related data on disk track boundaries, a system can avoid most rotational latency and track crossing overheads. Avoiding these overheads can increase disk access efficiency by up to 50% for mid-sized requests (100-500 KB). This paper describes traxtents, algorithms for detecting track boundaries, and some uses of traxtents in file systems and video servers. For large-file workloads, a version of FreeBSD’s FFS implementation that exploits traxtents reduces application run times by up to 20% compared to the original version. A video server using traxtent-based requests can support 56% more concurrent streams at the same startup latency and buffer space. For LFS, 44% lower overall write cost for track-sized segments can be achieved
CS Track database - Dataset
No full textThis is the main dataset which consist a list all relevant details of the CS Track database. The database contains information about 4949 Citizen Science (CS) projects extracted for more than 59 websites. This dataset contains the following information from the CS Track database:
CS projects title
the data extracted date
the language of the CS projects informations
the URL(s) of the website(s) from where the CS projects information was extracted. For other studies developed in CS Track consortium it might be useful to consult this data
full list of assignments for research areas and SDGs for each CS project
New CS Track COVID-19 study reveals the importance of building on existing experience
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CS Track database map
No full textThis document contains all the information related to the CS Track database mapTo know more about the database collections check https://doi.org/10.5281/zenodo.733386
Reconsidering Citizen Science, a CS Track point of view
No full textWhat is Citizen Science (CS)? Can anyone truly participate? To what extent does swabbing the nose of your young children at home and sending the results to scientists align with and can be considered a CS activity? What can be learned about the responsibility and engagement of citizens in CS activities from such activities? To what extent does CS reduce barriers between science and society and benefit diverse stakeholders? These questions are just a sample of the topics raised by seven of the nine CS Track project partners, reflecting on their own understanding, perceptions and findings, on the occasion of the project’s first anniversary.
One-year journey into Citizen Science
CS Track was initiated in December 2019 in the framework of the Horizon 2020’s “Science with and for Society” programme. It aims to broaden our knowledge about Citizen Science by investigating Citizen Science activities, using a triangulation approach for combining web-analytics with qualitative methods from social science research.
While our partners are all experts in their own fields, spanning from computer scientists to social and educational scientists, their views and experience within the field of citizen science vary greatly. CS Track is celebrating its first anniversary, concluding a very fruitful and productive year, with many outputs and results. To mark this milestone, we have asked project coordinators and work-package leaders to describe their one-year journey into citizen science. We sketch out the development in their perceptions over this period, their hands-on experiences and their increased appreciation of this growing and dynamic field. Clearly, this is an overview and an introduction to our work, more detailed reports on specific activities and outcomes are available through reports in the eMagazine and in our other outputs.
Conclusion
We conclude with a broad view on the present status of the CS Track project and its current challenges. First of all, data gathering from, for example, existing research studies or from running CS projects, via questionnaires (e.g. current survey) and interviews, has been found more demanding than anticipated in terms of project resources. In parallel, the web analytics work, on which CS Track builds much of its strategy to obtain information suitable for analysis and knowledge building, is just starting. The evolution and convergence of these two paths will determine the relative weight of each source in our database and, ultimately, the extent to which CS Track will provide the fresh, novel understanding of Citizen Science that we have promised in the project proposal and which we strive to achieve.
If you'd like to discuss further, check out this graphical article in our eMagazine
Mesozoic–Tertiary exhumation history of the Altai Mountains, northern Xinjiang, China: New constraints from apatite fission track data
No full textThis study uses apatite fission track (FT) analysis to constrain the exhumation history of bedrock samples collected from the Altai Mountains in northern Xinjiang, China. Samples were collected as transects across the main structures related to Palaeozoic crustal accretion events. FT results and modeling identify three stages in sample cooling history spanning the Mesozoic and Tertiary. Stage one records rapid cooling to the low temperature part of the fission track partial annealing zone circa 70 ± 10 °C. Stage two, records a period of relative stability with little if any cooling taking place between 75 and 25–20 Ma suggesting the Altai region had been reduced to an area of low relief. Support for this can be found in the adjacent Junngar Basin that received little if any sediment during this interval. Final stage cooling took place in the Miocene at an accelerated rate bringing the sampled rocks to the Earth's surface. This last stage, linked to the far field effects of the Himalayan collision, most likely generated the surface uplift and relief that define the present-day Altai Mountains
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