Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33660
Title: Assessing the Importance of Key Terms in UN SDGs Through Citizens Labs
Authors: Kouzaridi, Emily 
Partaourides, Harris 
Tsapatsoulis, Nicolas 
Djouvas, Constantinos 
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Issue Date: 1-Jan-2023
Source: 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
Abstract: This study employs a novel methodology to assess the importance of key terms in the United Nations (UN) Sustainable Development Goals (SDGs) by incorporating citizens' perspectives through keyword evaluation in citizens' labs. Representative keywords, sourced from reliable references like the Cyprus University of Technology SDG Keyword Mapping (CUT), are initially selected to represent the key concepts and objectives of each SDG. Citizens assess these keywords during a lab session, utilizing an interactive platform like Mentimeter. The participants dynamically provide their input by choosing the most significant SDG keywords according to their opinions consequently assigning importance weights to them. This approach fosters a more comprehensive understanding of the SDGs and aligns sustainable development initiatives with citizen priorities.
URI: https://hdl.handle.net/20.500.14279/33660
ISBN: [9798350304602]
DOI: 10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361322
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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