| 1. |
|
|
| 2. |
- Habibipour, Abdolrasoul, 1979-
(författare)
-
Harmonizing Ethics in Living Labs
- 2024
-
Ingår i: European Network of Living Labs: Health and Wellbeing Living Lab Symposium Presentations. - : Zenodo. ; , s. 21-22
-
Konferensbidrag (refereegranskat)
|
|
| 3. |
- Habibipour, Abdolrasoul, 1979-
(författare)
-
Responsible living labs: what can go wrong?
- 2024
-
Ingår i: Journal of Information, Communication and Ethics in Society. - : Emerald Group Publishing Limited. - 1477-996X .- 1758-8871. ; 22:2, s. 205-218
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose: This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab” (RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field.Design/methodology/approach: The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI.Findings: This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection.Originality/value: The proposed definition of RLL introduces a framework prioritizing transparency, stakeholder engagement, ethics and sustainability in LL activities, particularly those involving AI for DT. This definition aligns LL practices with RRI, addressing ethical implications of AI. The value of RLL lies in promoting inclusive and sustainable innovation, prioritizing stakeholder needs, fostering collaboration and ensuring environmental and social responsibility throughout LL activities. This concept serves as a foundational step toward a more responsible and sustainable LL approach in the era of AI-driven technologies.
|
|
| 4. |
- Papadopoulos, Nikolaos G., et al.
(författare)
-
Addressing adverse synergies between chemical and biological pollutants at schools—The ‘SynAir-G’ hypothesis
- 2024
-
Ingår i: Allergy. European Journal of Allergy and Clinical Immunology. - : John Wiley & Sons. - 0105-4538 .- 1398-9995. ; 79:2, s. 294-301
-
Tidskriftsartikel (refereegranskat)abstract
- While the number and types of indoor air pollutants is rising, much is suspected but little is known about the impact of their potentially synergistic interactions, upon human health. Gases, particulate matter, organic compounds but also allergens and viruses, fall within the ‘pollutant’ definition. Distinct populations, such as children and allergy and asthma sufferers are highly susceptible, while a low socioeconomic background is a further susceptibility factor; however, no specific guidance is available. We spend most of our time indoors; for children, the school environment is of paramount importance and potentially amenable to intervention. The interactions between some pollutant classes have been studied. However, a lot is missing with respect to understanding interactions between specific pollutants of different classes in terms of concentrations, timing and sequence, to improve targeting and upgrade standards. SynAir-G is a European Commission-funded project aiming to reveal and quantify synergistic interactions between different pollutants affecting health, from mechanisms to real life, focusing on the school setting. It will develop a comprehensive and responsive multipollutant monitoring system, advance environmentally friendly interventions, and disseminate the generated knowledge to relevant stakeholders in accessible and actionable formats. The aim of this article it to put forward the SynAir-G hypothesis, and describe its background and objectives.
|
|
| 5. |
- Rovolis, Georgios, et al.
(författare)
-
When participatory design meets data-driven decision making: A literature review and the way forward
- 2024
-
Ingår i: Management Science Letters. - : Growing Science. - 1923-9335 .- 1923-9343. ; 14:2, s. 107-126
-
Forskningsöversikt (refereegranskat)abstract
- This study explores the impacts of participatory design (PD) on data-driven decision-making (DDDM) in organisations. Despite the extensive examination of PD and DDDM individually, there is a dearth of research in understanding their integration and their impact on decision-making processes in organisations. This research aims to fill this gap by investigating the potential impacts, challenges, benefits, and critical success factors associated with the incorporation of PD activities into DDDM. The study employs a systematic literature review methodology to provide a comprehensive understanding of the topic. The paper provides a research agenda for future researchers as well as discussing best practices for organizations seeking to optimise their data driven decision-making processes in a participatory manner. The research also discussed the ethical implications of data-driven decision-making. Ultimately, this research advances our understanding of how PD and DDDM can be effectively combined to achieve better decision-making outcomes.
|
|
| 6. |
- Schuster, Frederik, et al.
(författare)
-
Users’ Privacy and Security Concerns that Affect IoT Adoption in the Home Domain
- 2024
-
Ingår i: International Journal of Human-Computer Interaction. - : Taylor & Francis. - 1044-7318 .- 1532-7590. ; 40:7, s. 1632-1643
-
Tidskriftsartikel (refereegranskat)abstract
- Internet of things (IoT) technology must provide users with benefits that outweigh the costs and risks for it to be widely accepted and adopted. New functionality is continuously added, and costs decrease with the increasing volumes and technological advances; however, the risks also increase as technology becomes increasingly integrated into human lives. This survey study of 251 respondents investigated how users and different user groups perceive IoT security and privacy in the home domain, their trust in the involved parties, and how different types of measures, as suggested by the literature, can affect user adoption. The results indicate that people are particularly concerned about security and privacy and are fearful of breaches and misuse. A large majority of the people do not believe the products to be secure. Less than a third of the users trust manufacturers, service providers, and governments to uphold their privacy; this remarkably hinders IoT adoption.
|
|
