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Enabling Citizen Science in Communal Smart Environments with IoT Technology
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Enabling Citizen Science in Communal Smart Environments with IoT Technology

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (30 July 2023) | Viewed by 7551

Special Issue Editors

Dr. Diego Casado-Mansilla

E-Mail Website
Guest Editor
Facultad de Ingeniería, Universidad de Deusto, 48007 Bilbo, Spain
Interests: IoT; smart environments; citizen science; pro-environmental behaviour; IoP
Dr. Diego López-de-Ipiña

E-Mail Website
Guest Editor
DeustoTech, University of Deusto, Avda. Universidades 24, 48007 Bilbao, Spain
Interests: data visualisation; deep learning; generative AI; big data analytics
Special Issues, Collections and Topics in MDPI journals
Dr. Oihane Gómez-Carmona

E-Mail Website
Guest Editor
DeustoTech, University of Deusto, 48007 Bilbao, Spain
Interests: IoT; smart environments; citizen science; health behaviour; edge computing; embedded machine learning; IoP

Special Issue Information

Dear Colleagues,

Human intelligence, IoT, and AI each have their own strengths and weaknesses. Machines are effective and efficient in the discovery of implicit knowledge or hidden patterns from large-scale data, whereas humans are good at conducting cognitive analysis such as reasoning, inference, and making instinctive judgments by taking into consideration dynamic and multiple factors. When people are organized into groups to conduct research activities, this is called Citizen Science, which pursues collective intelligence. Humans and machines do not have to be competitive or mutually exclusive, and one does not have to dominate/replace the other. One way to address the two above-mentioned issues is to marry the strengths and mitigate the weaknesses of human intelligence and AI, making them work in collaboration and cooperation. In this Special Issue, we will gather evidence from existing research regarding the intersection of Citizen Science, artificial intelligence, and IoT to create communal smart environments where synergy and symbiosis among the agents that are enabled. We are especially interested in articles regarding experiences where people and machines collaborate on data collection, modelling, analysis and ubiquitous intelligence for a wide range of applications of crowd-sourced, Internet-based information.

Dr. Diego Casado-Mansilla
Dr. Diego López-de-Ipiña
Dr. Oihane Gómez-Carmona
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • citizen science
  • IoT
  • smart environment
  • human-centric AI
  • internet of people

Published Papers (2 papers)

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Research

36 pages, 8829 KiB  
Article
Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of Things
by Manuel J. S. Santos, Vânia Carlos and António A. Moreira
Sensors 2023, 23(6), 3070; https://doi.org/10.3390/s23063070 - 13 Mar 2023
Cited by 3 | Viewed by 2632
Abstract
Generally, there is much to praise about the rise in acknowledging the need for young citizens to exercise their rights and duties, but the belief remains that this is not yet entrenched in young citizens’ overall democratic involvement. A lack of citizenship and [...] Read more.
Generally, there is much to praise about the rise in acknowledging the need for young citizens to exercise their rights and duties, but the belief remains that this is not yet entrenched in young citizens’ overall democratic involvement. A lack of citizenship and engagement in community issues was revealed by a recent study conducted by the authors in a secondary school from the outskirts of Aveiro, Portugal, during the 2019/2020 school year. Under the umbrella of a Design-Based Research methodological framework, citizen science strategies were implemented in the context of teaching, learning, and assessment, and at the service of the educational project of the target school, in a STEAM approach, and under Domains of Curricular Autonomy activities. The study’s findings suggest that to build the bridge for participatory citizenship, teachers should engage students in collecting and analyzing data regarding communal environmental issues in a Citizen Science approach supported by the Internet of Things. The new pedagogies addressing the lack of citizenship and engagement in community issues promoted students’ involvement at school and in the community, contributed to inform municipal education policies, and promoted dialogue and communication between local actors. Full article
(This article belongs to the Special Issue Enabling Citizen Science in Communal Smart Environments with IoT Technology)
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32 pages, 9402 KiB  
Article
Marine Litter Tracking System: A Case Study with Open-Source Technology and a Citizen Science-Based Approach
by Silvia Merlino, Marina Locritani, Antonio Guarnieri, Damiano Delrosso, Marco Bianucci and Marco Paterni
Sensors 2023, 23(2), 935; https://doi.org/10.3390/s23020935 - 13 Jan 2023
Cited by 7 | Viewed by 4120
Abstract
It is well established that most of the plastic pollution found in the oceans is transported via rivers. Unfortunately, the main processes contributing to plastic and debris displacement through riparian systems is still poorly understood. The Marine Litter Drifter project from the Arno [...] Read more.
It is well established that most of the plastic pollution found in the oceans is transported via rivers. Unfortunately, the main processes contributing to plastic and debris displacement through riparian systems is still poorly understood. The Marine Litter Drifter project from the Arno River aims at using modern consumer software and hardware technologies to track the movements of real anthropogenic marine debris (AMD) from rivers. The innovative “Marine Litter Trackers” (MLT) were utilized as they are reliable, robust, self-powered and they present almost no maintenance costs. Furthermore, they can be built not only by those trained in the field but also by those with no specific expertise, including high school students, simply by following the instructions. Five dispersion experiments were successfully conducted from April 2021 to December 2021, using different types of trackers in different seasons and weather conditions. The maximum distance tracked was 2845 km for a period of 94 days. The activity at sea was integrated by use of Lagrangian numerical models that also assisted in planning the deployments and the recovery of drifters. The observed tracking data in turn were used for calibration and validation, recursively improving their quality. The dynamics of marine litter (ML) dispersion in the Tyrrhenian Sea is also discussed, along with the potential for open-source approaches including the “citizen science” perspective for both improving big data collection and educating/awareness-raising on AMD issues. Full article
(This article belongs to the Special Issue Enabling Citizen Science in Communal Smart Environments with IoT Technology)
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