A visualization tool for citizen-science marine debris big data

2021 ◽  
pp. 76-88
Author(s):  
Graeme F. Clark ◽  
Jordan Gacutan ◽  
Robert Lawther ◽  
Emma L. Johnston ◽  
Heidi Tait ◽  
...  
2021 ◽  
pp. 1-13
Author(s):  
Graeme F. Clark ◽  
Jordan Gacutan ◽  
Robert Lawther ◽  
Emma L. Johnston ◽  
Heidi Tait ◽  
...  

2017 ◽  
Vol 16 (02) ◽  
pp. C05
Author(s):  
Stuart Allan ◽  
Joanna Redden

This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality, access dynamics, the difficulty investigating algorithms, and concerns about certain constraints impacting on transparency and accountability.


2017 ◽  
Author(s):  
Nicholas Wehner

Citizen science projects have the opportunity to educate participants about environmental issues being studied first-hand and often in the field. The Port Townsend Marine Science Center’s Plastics Project utilized volunteers to collect and sort through samples of sand on beaches to estimate the abundance of plastic marine debris on beaches throughout the Puget Sound of Washington State. Volunteers were surveyed to determine if educational benefits were evident, if participants were educating others and with what frequency, what communication media were used and preferred, and who participants identified as experts. All participants reported being better educated about plastic marine and most reported changes in their consumer behavior. Participants who educated others on a regular basis also attended environmental and plastic marine debris-focused events, and interacted with experts regularly. No other demographic variables examined were able to distinguish more active educators from less active. Participants used and preferred email and in-person communication media while social media and postal mail were among the least utilized. Participants identified a wide array of experts, including university scientists and Plastics Project staff. Citizen science projects may be beneficial at inducing consumer behavior changes and educating participants, and should take care to explore lectures and other in-person communication approaches to increase opportunities for learning. Participants’ wide perception of expertise should be taken advantage of to increase opportunities for participant-expert interaction and address participant questions and concerns.


Author(s):  
Tarun Reddy Katapally

UNSTRUCTURED Citizen science enables citizens to actively contribute to all aspects of the research process, from conceptualization and data collection, to knowledge translation and evaluation. Citizen science is gradually emerging as a pertinent approach in population health research. Given that citizen science has intrinsic links with community-based research, where participatory action drives the research agenda, these two approaches could be integrated to address complex population health issues. Community-based participatory research has a strong record of application across multiple disciplines and sectors to address health inequities. Citizen science can use the structure of community-based participatory research to take local approaches of problem solving to a global scale, because citizen science emerged through individual environmental activism that is not limited by geography. This synergy has significant implications for population health research if combined with systems science, which can offer theoretical and methodological strength to citizen science and community-based participatory research. Systems science applies a holistic perspective to understand the complex mechanisms underlying causal relationships within and between systems, as it goes beyond linear relationships by utilizing big data–driven advanced computational models. However, to truly integrate citizen science, community-based participatory research, and systems science, it is time to realize the power of ubiquitous digital tools, such as smartphones, for connecting us all and providing big data. Smartphones have the potential to not only create equity by providing a voice to disenfranchised citizens but smartphone-based apps also have the reach and power to source big data to inform policies. An imminent challenge in legitimizing citizen science is minimizing bias, which can be achieved by standardizing methods and enhancing data quality—a rigorous process that requires researchers to collaborate with citizen scientists utilizing the principles of community-based participatory research action. This study advances SMART, an evidence-based framework that integrates citizen science, community-based participatory research, and systems science through ubiquitous tools by addressing core challenges such as citizen engagement, data management, and internet inequity to legitimize this integration.


2020 ◽  
Author(s):  
Giuseppina Monacelli ◽  
Carlo Cipolloni ◽  
Lorenza Babbini ◽  
Maria Chiara Sole ◽  
Alessandro Lotti ◽  
...  

<p>Water and environmental monitoring, observation and decision support systems (DSS) are being transformed by a wealth of open and big data that are increasingly available, accurate and timely. Consolidated technologies of earth observation, remote sensing, geospatial modelling and visualization systems are stimulating earth, hydrological and environmental sciences that are reacting not only with increasing scientific production, but with novel solutions-oriented methods, tools and algorithms. Procedures, methods and tools are more and more available for analysis, interpretation and mapping of river and basin coastal landscape features and hydro-environmental dynamics. Citizen science are further empowering the capabilities of DSS by gathering and sharing data on the human behaviour component to better understand the nature-human-urban interplay. Citizens, empowered by mobile devices, act as data and information producers, receivers and transmitters supporting the assessment of the effects of human-derived observations, feedbacks and actions sensing. Emerging hardware and software technologies (e.g. machine learning, artificial intelligence, IoT, etc.) are creating amazing opportunities for these DSS linked to the development of the human-machine interface and its use for promoting practical environmental and social actions to manage and mitigate natural hazard and climatic risks. The National System for Environmental Protection (SNPA) by the Italian Institute for Environmental Protection and Research (ISPRA) is supporting and implementing a wide and diverse range of research, applied research, learning and communication activities, both at the national and international level, in collaborating with leading academic, professional and international organizations, for integrating citizen science, open data and big data into next generation water and environmental decision support systems. This contribution, while depicting the overall SINA framework (Italian Environmental Information System) and ongoing and planned activities by ISPRA SNPA and SINA, presents recent outcomes of research initiatives developed within the Water JPI, UNEP INFORAC, National Plan for Climate Adaptation (PNACC), Marine pollution, Biodiversity, the Water, Food and Energy Nexus among others. Insights from joint research efforts and working groups are presented and shared while pursuing further synergies and stimulate the discussion on this crucial topic for national and international agencies, like ISPRA, that seek to transfer research data, models and tools into institutional and operational activities.</p>


AMBIO ◽  
2015 ◽  
Vol 44 (S4) ◽  
pp. 601-611 ◽  
Author(s):  
Steve Kelling ◽  
Daniel Fink ◽  
Frank A. La Sorte ◽  
Alison Johnston ◽  
Nicholas E. Bruns ◽  
...  

Author(s):  
Shinnosuke Takeda ◽  
Aimi Kobayashi ◽  
Hiroaki Kobayashi ◽  
Saori Okubo ◽  
Kazuo Misue

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