scholarly journals Self-Reported Reasons for Participating in Pro-environmental Citizen Science Activities: A Case Study of Butterfly Monitoring in Israel

2020 ◽  
Vol 5 ◽  
Author(s):  
Dina Tsybulsky
Keyword(s):  
Citizen Science ◽  
Butterfly Monitoring ◽  
Science Activities

Accelerating Character Education Learning Through a Networked Approach: Insights From the Kern Partners for Character and Educational Leadership

2021 ◽  
pp. 002205742110269
Author(s):  
Ariel Tichnor-Wagner
Keyword(s):  
Educational Leadership ◽  
Character Education ◽  
Leadership Programs ◽  
Improvement Science ◽  
Educational Leadership Programs ◽  
Science Activities

This article explores the utility of networked improvement communities (NICs) as an organizing structure for scaling character education across educational leadership programs through a case study of one network committed to integrating character education across varied institutions and contexts. In examining the improvement science process that guided NIC members’ development and implementation of character education approaches and their perceptions of and participation in NIC activities, this case study offers insights on the promise of structured collaboration across diverse institutions. Furthermore, it identifies the need for NICs to differentiate improvement science activities based on participants’ institutional readiness for character education.

scholarly journals Using citizen science data to monitor the Sustainable Development Goals: a bottom-up analysis

2021 ◽  
Author(s):  
Laura Ballerini ◽  
Sylvia I. Bergh
Keyword(s):  
Sustainable Development ◽  
Citizen Science ◽  
Sustainable Development Goals ◽  
Comparative Case Study ◽  
Science Data ◽  
The Sustainable Development ◽  
Case Study Analysis ◽  
Wide Range ◽  
Development Goals

AbstractOfficial data are not sufficient for monitoring the United Nations Sustainable Development Goals (SDGs): they do not reach remote locations or marginalized populations and can be manipulated by governments. Citizen science data (CSD), defined as data that citizens voluntarily gather by employing a wide range of technologies and methodologies, could help to tackle these problems and ultimately improve SDG monitoring. However, the link between CSD and the SDGs is still understudied. This article aims to develop an empirical understanding of the CSD-SDG link by focusing on the perspective of projects which employ CSD. Specifically, the article presents primary and secondary qualitative data collected on 30 of these projects and an explorative comparative case study analysis. It finds that projects which use CSD recognize that the SDGs can provide a valuable framework and legitimacy, as well as attract funding, visibility, and partnerships. But, at the same time, the article reveals that these projects also encounter several barriers with respect to the SDGs: a widespread lack of knowledge of the goals, combined with frustration and political resistance towards the UN, may deter these projects from contributing their data to the SDG monitoring apparatus.

scholarly journals Evaluating citizen science outreach: A case-study with The Peregrine Fund’s American Kestrel Partnership

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248948
Author(s):  
Sarah E. Schulwitz ◽  
Greg C. Hill ◽  
Vanessa Fry ◽  
Christopher J. W. McClure
Keyword(s):  
Citizen Science ◽  
Communication Strategies ◽  
Monitoring Program ◽  
Research Priorities ◽  
Future Research ◽  
Discussion Boards ◽  
Science Program ◽  
Science Outreach ◽  
American Kestrel

Citizen science programs can be powerful drivers of knowledge and scientific understanding and, in recent decades, they have become increasingly popular. Conducting successful research with the aid of citizen scientists often rests on the efficacy of a program’s outreach strategies. Program evaluation is increasingly recognized as a critical practice for citizen science practitioners to ensure that all efforts, including outreach, contribute to the overall goals of the program. The Peregrine Fund’s American Kestrel Partnership (AKP) is one such citizen science program that relies on outreach to engage participants in effective monitoring of a declining falcon species. Here, we examine whether various communication strategies were associated with desired outreach goals of the AKP. We demonstrate how social media, webcams, discussion boards, and newsletters were associated with perception of learning, agreement with our conservation messaging, and participation in our box monitoring program. Our results thus help us to improve our outreach methodology, suggest areas where other citizen science programs might improve their outreach efforts, and highlight future research priorities.

scholarly journals Citizen Participation in Responding to Natural Disasters Through Twitter Messages

2020 ◽  
Vol 5 (2) ◽  
pp. 123
Author(s):  
Rizky Pamuji ◽  
Ismiarta Aknuranda ◽  
Fatwa Ramdani
Keyword(s):  
Social Media ◽  
Natural Disasters ◽  
Citizen Science ◽  
Citizen Participation ◽  
Disaster Relief ◽  
Local Communities ◽  
Citizen Involvement ◽  
The Government

Citizen participation in collect and distribute information increase the role of the citizen involvement in local issues and increasing the benefits of society for the government and the environment. The contribution of citizens can be useful in helping to deal with environment problems and assist certain parties in meeting data needs, this is commonly referred to as citizen science. In its development, citizen science involvement in providing information began to involve social media as a platform for sharing information. In this study we try to explore citizen science of Indonesia, we conduct case study exploring how citizen in Indonesia used social media such as Twitter in response to one of the country’s worst disaster in 2018 namely Lombok Earthquake. By analyzing these user generate message we may know what the response of Indonesian citizen during event and understand more about citizen science in Indonesia through social media including its role and contribution. The information also may assist local communities in obtaining up-to-date information, providing assistance according to needs of the populace and use to manage and plan disaster relief both during and after the event.

scholarly journals Prototyping Artificial Intelligent Classifiers using Deep Learning

2020 ◽  
Author(s):  
Herman Njoroge Chege
Keyword(s):  
Deep Learning ◽  
Citizen Science ◽  
Parameter Tuning ◽  
Biological Species ◽  
Biodiversity Monitoring ◽  
Practical Applications ◽  
Wide Range ◽  
Image Dataset ◽  
Ecological Applications

Point 1: Deep learning algorithms are revolutionizing how hypothesis generation, pattern recognition, and prediction occurs in the sciences. In the life sciences, particularly biology and its subfields,  the use of deep learning is slowly but steadily increasing. However, prototyping or development of tools for practical applications remains in the domain of experienced coders. Furthermore, many tools can be quite costly and difficult to put together without expertise in Artificial intelligence (AI) computing. Point 2: We built a biological species classifier that leverages existing open-source tools and libraries. We designed the corresponding tutorial for users with basic skills in python and a small, but well-curated image dataset. We included annotated code in form of a Jupyter Notebook that can be adapted to any image dataset, ranging from satellite images, animals to bacteria. The prototype developer is publicly available and can be adapted for citizen science as well as other applications not envisioned in this paper. Point 3: We illustrate our approach with a case study of 219 images of 3 three seastar species. We show that with minimal parameter tuning of the AI pipeline we can create a classifier with superior accuracy. We include additional approaches to understand the misclassified images and to curate the dataset to increase accuracy. Point 4: The power of AI approaches is becoming increasingly accessible. We can now readily build and prototype species classifiers that can have a great impact on research that requires species identification and other types of image analysis. Such tools have implications for citizen science, biodiversity monitoring, and a wide range of ecological applications.

scholarly journals Citizen as Sensors' Commitment in Urban Public Action

2019 ◽  
Vol 8 (4) ◽  
pp. 42-59 ◽  
Author(s):  
Gwendoline l'Her ◽  
Myriam Servières ◽  
Daniel Siret
Keyword(s):  
Air Quality ◽  
Citizen Science ◽  
Urban Air Quality ◽  
Urban Air ◽  
The Public ◽  
Public Action ◽  
Quality Issue ◽  
Data Analyses ◽  
The Impact

Based on a case study in Rennes, the article presents how a group of urban public actors re-uses methods and technology from citizen sciences to raise the urban air quality issue in the public debate. The project gives a group of inhabitants the opportunity to follow air quality training and proceed PM2.5µm measurements. The authors question the impact of the ongoing hybridisation between citizen science and urban public action on participants' commitment. The authors present how the use of PM2.5-sensors during 11 weeks led to a disengagement phenomenon, even if the authors observe a strong participation to workshops. These results come from an interdisciplinary methodology using observations, interviews, and data analyses.

scholarly journals Geoinformatics in Citizen Science

2018 ◽  
Vol 7 (12) ◽  
pp. 474 ◽  
Author(s):  
Gloria Bordogna
Keyword(s):  
Citizen Science ◽  
Mobile App ◽  
Halyomorpha Halys ◽  
Spatial Accuracy ◽  
Research Issues ◽  
User Grouping ◽  
Raising Awareness ◽  
Community Growth ◽  
Location Based Social Networks

This editorial introduces the special issue entitled “Geoinformatics in Citizen Science” of the ISPRS International Journal of Geo-Information. The issue includes papers dealing with three main topics. (1) Key tasks of citizen science (CS) in leveraging geoinformatics. This comprises descriptions of citizen science initiatives where geoinformation management and processing is the key means for discovering new knowledge, and it includes: (i) “hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform” by Kosmidis et al., (ii) “Coupling Traditional Monitoring and Citizen Science to Disentangle the Invasion of Halyomorpha halys” by Malek et al., and (iii) “Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data” by Foody et al. (2) Evaluations of approaches to handle geoinformation in CS. This examines citizen science initiatives which critically analyze approaches to acquire and handle geoinformation, and it includes: (iv) “CS Projects Involving Geoinformatics: A Survey of Implementation Approaches” by Criscuolo et al., (v) “Obstacles and Opportunities of Using a Mobile App for Marine Mammal Research” by Hann et al., (vi) “OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami” by Juhász and Hochmair, and (vii) “Experiences with Citizen-Sourced VGI in Challenging Circumstances“ by Hameed et al. (3) Novel geoinformatics research issues: (viii) “A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints” by Brovelli and Zamboni, (ix) “A Citizen Science Approach for Collecting Toponyms” by Perdana and Ostermann, and (x) “An Automatic User Grouping Model for a Group Recommender System in Location-Based Social Networks” by Khazaei and Alimohammadi.

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