Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown
Published: Jan. 1, 2023
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176621 - 176621
Published: Oct. 10, 2024
Language: Английский
Citations
14
Sustainability Science, Journal Year: 2024, Volume and Issue: 19(5), P. 1773 - 1787
Published: July 24, 2024
Abstract A number of labeling systems based on text have been proposed to help monitor work the United Nations (UN) Sustainable Development Goals (SDGs). Here, we present a systematic comparison prominent SDG using variety sources and show that these differ considerably in their sensitivity (i.e., true-positive rate) specificity true-negative rate), biases (e.g., are more sensitive specific SDGs relative others), susceptible type amount analyzed. We then an ensemble model pools alleviates some limitations, exceeding performance individual considered. conclude researchers policymakers should care about choice system methods be favored when drawing conclusions absolute prevalence automated methods.
Language: Английский
Citations
5
Nature Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 16, 2024
Language: Английский
Citations
4
International Journal of E-Planning Research, Journal Year: 2025, Volume and Issue: 13(1), P. 1 - 30
Published: Jan. 4, 2025
The direct involvement of the public in data collection and analysis can be a powerful tool to fill information gaps, while simultaneously improving community influence on urban planning land management policies. Using robust case study, this paper shows how Citizen Science (CS) support complex sustainability transitions. In study Ombrone River Basin (ORB) Italy, produced by large group citizen participants was integrated into official datasets use water quality, demonstrating potential for method supporting monitoring Sustainable Development Goal (SDG) indicators at local level. addition, through scenario including reforestation hypothesis, offers useful pointers leveraging optimising voluntary participation non-professional scientists various stages research innovation activities, data-driven policies that take environmental account.
Language: Английский
Citations
0
Deleted Journal, Journal Year: 2025, Volume and Issue: 33(1)
Published: Feb. 4, 2025
Abstract This article explores how citizen science can contribute to achieving the United Nations (UN) sustainable development goals (SDGs) by focusing on complex and sometimes interrelated nature of sustainability challenges. Citizen presents a unique opportunity ethically engage communities in research actively involving them defining targets, gathering data, analysing results, thereby generating actionable insights that directly inform both local global efforts. The authors advocate for integrating with nexus approach environmental resources management, which examines interrelatedness interdependencies are inherent within systems, emphasising relationships among water, energy, food systems. proposes strategies enhance role addressing These include strengthening collective interaction knowledge exchange between five subsystems described quintuple helix innovation model, namely policy, science, industry, society environment. also highlights importance inclusive participation, co-defining localised indicators, co-creating citizen-led actions. By empowering participatory production promoting multi-actor collaboration, not only has potential valuable data monitoring progress SDGs but help deliver UN’s pledge ‘leave no one behind.’ Ultimately, creating an environment participation diverse societal actors nexus-oriented unlock full advancing ensuring future.
Language: Английский
Citations
0
Environmental Challenges, Journal Year: 2025, Volume and Issue: unknown, P. 101121 - 101121
Published: March 1, 2025
Language: Английский
Citations
0
Wiley Interdisciplinary Reviews Water, Journal Year: 2025, Volume and Issue: 12(2)
Published: March 1, 2025
ABSTRACT Given the exponential rise in global plastic production and its significant ecological socio‐economic impacts, monitoring macroplastics rivers has become a central focus of water management efforts. However, standardized methodologies are lagging behind rate waste currently entering aquatic systems on scale. This translates into shortage spatially temporally refined data macroplastic pollution circulating inland waters. Recent advancements remote sensing techniques, primarily satellites, UASs, fixed handheld cameras combined with crowd‐sourced automated detection using machine deep learning, offer promising opportunities for versatile solutions. Thus, this paper reviews state‐of‐the‐art approaches emerging methods identification to provide researchers comprehensive inventory techniques encourage scientific community harmonize define standard protocols. According our investigation, addressing challenges sensing‐based river mandates further efforts enhance integrate multiple platforms an emphasis long‐term monitoring.
Language: Английский
Citations
0
Marine Pollution Bulletin, Journal Year: 2023, Volume and Issue: 198, P. 115905 - 115905
Published: Dec. 14, 2023
Shoreline surveys are a common approach for documenting loads of marine macrodebris (≥ 2.5 cm) loads.When conducted repeatedly over time and space, patterns in source, abundance, geographic distribution, composition can be detected.Yet to realize their full potential, monitoring programs that rely on must grapple with high variability debris appropriately manage uncertainty when reporting estimates quantity.A potentially important source bias estimating from shoreline datasets is detection rates.With this mind, we field experiments using strip-transect survey protocols, designed test macrodebris.We quantified how protocol, shoreline, characteristics influence the detectability macrodebris.Detection rates varied according distance observer (0-5 m), number observers, (size, color), substrate.Our results highlight considerations program design.Comparisons across should approached cautiously given differences protocols sources may affect density addressed.We hope these will inform efforts optimized intended data use impact.
Language: Английский
Citations
8
Sustainability Science, Journal Year: 2024, Volume and Issue: 19(5), P. 1735 - 1750
Published: July 9, 2024
Language: Английский
Citations
2
Citizen Science Theory and Practice, Journal Year: 2024, Volume and Issue: 9(1)
Published: Jan. 1, 2024
Citizen Science: Theory and Practice (CSTP) is an online, open-access, peer-reviewed publication focused on the global field of citizen science other participatory sciences. It provides a venue to share advance related theories practices, serves those interested in contributing across all disciplines, including scientists, educators, community organizers, evaluators, information technologists, resource managers. also partners with organizations supporting associated endeavors. The journal integral part Association for Advancing Participatory Sciences published by ]u[ Ubiquity Press. This made possible significant support many volunteer contributors; this includes its leadership team, editors, reviewers, advisors. Are you reading CSTP? See our latest articles feed right, or explore extensive library "Articles". There no charge view open-access publications, which are supported author fees. submitting manuscript? "About" tab learn more about what we publish download Author Guidelines Submission. Please pay special attention maximum allowed words each submission type, as over that limit will not be considered.
Language: Английский
Citations
1