scholarly journals Scientific citizens, smartphones and social media – reshaping the socio-spatial networks of participation: Insects, soil and food

2020 ◽  
Vol 28 (1) ◽  
pp. 61-67
Author(s):  
Matt Reed
Keyword(s):  
Social Media ◽  
Citizen Science ◽  
Fisheries Management ◽  
Scientific Communication ◽  
Innovation Networks ◽  
Spatial Networks ◽  
Compositional Approach ◽  
Societal Needs ◽  
Ecological Problems ◽  
Urban Rural

AbstractThe conjunction of citizen science and social media through the mediation of the smartphone is investigated in this Scientific Communication, following on from the last issue of the Moravian Geographical Reports (2019, Vol. 27, No. 4). Through a reconsideration of three previously published articles, in part written by the author, this paper reflects on these topics with regard to farmer innovation, local food networks and citizen-informed ecology. Each of these papers has used Twitter to gather data about practices of innovation and observation that have revealed new insights about innovation networks amongst farmers, urban-rural connections and insect behaviours. The reflections reported here are embedded in a discussion of the rise of the term ‘Citizen Science’. Recent experiences in areas as diverse as fisheries management and combating Ebola, have informed societal needs for greater engagement in finding inclusive, comprehensive solutions to urgent socio-ecological problems. This paper suggests a compositional approach to studies using citizen scientists and their data as a new avenue of practice and investigation.

Descubrir, leer, publicar, compartir y monitorizar el progreso: comportamiento de los investigadores junior españoles

2020 ◽  
Author(s):  
Blanca Rodríguez-Bravo ◽  
David Nicholas
Keyword(s):  
Social Media ◽  
Scientific Communication ◽  
Open Science ◽  
Second Phase ◽  
International Survey ◽  
New Wave ◽  
Redes Sociales ◽  
Acceso Abierto ◽  
Use Of Social Media ◽  
Communication Habits

The scientific communication habits and practices of the new wave of Spanish researchers are analyzed based on the results of an international survey (2019). The results obtained from 100 participants support those previously obtained from interviews conducted between 2016 and 2018 in Spain under the Harbingers Project, and show similarities to and differences from those collected from the mentioned survey in other countries covered by the Project in its second phase. Spanish researchers have two contradictory faces: They are innovative in their perceptions but slightly less so in their practices regarding open access and the use of social media. However, these new attitudes and habits are motivated by a desire to promote their own work and gain recognition; In this sense, they are conservative. The competition in which they are immersed regarding the achievement of tenure and, therefore, the need to focus on their abilities that will be evaluated represent a limitation on enjoying the learning process and dedicating themselves to the practices of open science to which their generation is naturally prone. Resumen Se analizan los hábitos y prácticas de comunicación científica de la nueva ola de investigadores españoles a partir de los resultados de una encuesta de ámbito internacional (2019). Los resultados de un centenar de contribuciones confirman los obtenidos previamente en entrevistas realizadas entre 2016 y 2018 en España en el marco del Proyecto Harbingers, y ponen de manifiesto similitudes y diferencias con los resultados obtenidos de la encuesta mencionada en otros países cubiertos por el Proyecto en su segunda fase. Los investigadores españoles presentan dos caras contradictorias: Son innovadores en sus percepciones aunque no tanto en sus prácticas relativas al acceso abierto y al uso de las redes sociales. Sin embargo, sus actitudes y hábitos nuevos no son desinteresados, están motivados por promocionar el trabajo propio y conseguir el reconocimiento. En este sentido, se muestran conservadores. La competición en que se encuentran inmersos para conseguir un trabajo estable y, por tanto, la necesidad de focalizarse en los méritos que les van a ser evaluados les limita para poder disfrutar del proceso de aprendizaje y dedicarse a las prácticas de ciencia abierta a las que su generación se muestra proclive de forma natural.

The Patient in Patient Safety: Contemporary Issues, From COVID-19 to Citizen Science

2021 ◽  
Vol 10 (1) ◽  
pp. 301-303
Author(s):  
Elizabeth Lerner Papautsky ◽  
Richard J. Holden ◽  
Rupa S. Valdez ◽  
Jordan Hill ◽  
Janetta Brown
Keyword(s):  
Social Media ◽  
Patient Safety ◽  
Citizen Science ◽  
Human Subjects ◽  
Lessons Learned ◽  
Human Subjects Research ◽  
Research Strategies ◽  
Face To Face

In the 4th panel on the topic of The Patient in Patient Safety, we highlighted topics of current relevance and facilitated a reflection session. The objective was to highlight the ways in which the COVID-19 pandemic has impacted patient ergonomics research and work, with particular focus on safety. After a topic overview, panelists presented their work on overcoming challenges to human subjects research created by the suspension of face-to-face activities during the COVID-19 pandemic. A facilitated reflection and brainstorming session using Miro followed. We used questions to elicit examples of patient and caregiver roles in safety during the pandemic and research strategies and challenges. These questions were also distributed on social media prior to the event. The panel served as an opportunity to share lessons learned.

Social media in professional, technical, and scientific communication programs

2020 ◽  
Vol 8 (1) ◽  
pp. 19-34
Author(s):  
Jennifer Roth Miller ◽  
Brandy Dieterle ◽  
Jennifer deWinter ◽  
Stephanie Vie
Keyword(s):  
Social Media ◽  
Scientific Communication ◽  
Communication Programs

scholarly journals Citizen science via social media revealed conditions of symbiosis between a marine gastropod and an epibiotic alga

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Osamu Kagawa ◽  
◽  
Shota Uchida ◽  
Daishi Yamazaki ◽  
Yumiko Osawa ◽  
...  
Keyword(s):  
Social Media ◽  
Heat Stress ◽  
Environmental Factors ◽  
Citizen Science ◽  
Bayesian Model ◽  
Symbiotic Relationship ◽  
Hierarchical Bayesian Model ◽  
Symbiotic Interaction ◽  
Intertidal Gastropod ◽  
Substrate Size

AbstractEnvironmental factors promote symbiosis, but its mechanism is not yet well understood. The alga Pseudocladophora conchopheria grows only on the shell of an intertidal gastropod Lunella correensis, and these species have a close symbiotic relationship which the alga reduces heat stress of the gastropod. In collaboration with general public, we investigated how environmental conditions alter the symbiotic interaction between the alga and the gastropod. Information about the habitats of each gastropod and images of shells was obtained from the Japanese and Korean coasts via social media. We constructed the hierarchical Bayesian model using the data. The results indicated that the proportion of shell area covered by P. conchopheria increased as the substrate size utilized by the gastropod increased. Meanwhile, temperature did not affect the proportion of P. conchopheria on the shell. These suggested that the alga provides no benefits for the gastropod on small substrates because gastropod can reduce the heat stress by diving into the small sediment. Further, the gastropod’s cost incurred by growing the alga on the shell seems to be low as the algae can grow even in cooler places where no benefits of heat resistance for gastropods. Different environments can yield variable conditions in symbiosis.

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 Deep Neural Networks and Kernel Density Estimation for Detecting Human Activity Patterns from Geo-Tagged Images: A Case Study of Birdwatching on Flickr

2019 ◽  
Vol 8 (1) ◽  
pp. 45 ◽  
Author(s):  
Caglar Koylu ◽  
Chang Zhao ◽  
Wei Shao
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Social Media ◽  
Spatial Analysis ◽  
Citizen Science ◽  
Human Activity ◽  
Activity Patterns ◽  
Kernel Density ◽  
Human Activity Patterns ◽  
Vision Algorithm

Thanks to recent advances in high-performance computing and deep learning, computer vision algorithms coupled with spatial analysis methods provide a unique opportunity for extracting human activity patterns from geo-tagged social media images. However, there are only a handful of studies that evaluate the utility of computer vision algorithms for studying large-scale human activity patterns. In this article, we introduce an analytical framework that integrates a computer vision algorithm based on convolutional neural networks (CNN) with kernel density estimation to identify objects, and infer human activity patterns from geo-tagged photographs. To demonstrate our framework, we identify bird images to infer birdwatching activity from approximately 20 million publicly shared images on Flickr, across a three-year period from December 2013 to December 2016. In order to assess the accuracy of object detection, we compared results from the computer vision algorithm to concept-based image retrieval, which is based on keyword search on image metadata such as textual description, tags, and titles of images. We then compared patterns in birding activity generated using Flickr bird photographs with patterns identified using eBird data—an online citizen science bird observation application. The results of our eBird comparison highlight the potential differences and biases in casual and serious birdwatching, and similarities and differences among behaviors of social media and citizen science users. Our analysis results provide valuable insights into assessing the credibility and utility of geo-tagged photographs in studying human activity patterns through object detection and spatial analysis.

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