The Rainbow Economy Model is a theoretical framework that proposes a holistic and inclusive approach to economic development. This model emphasizes the importance of diversity, equality, and sustainability in driving economic growth and prosperity. It recognizes that a vibrant and resilient economy is built upon a diverse range of industries, businesses, and individuals, each contributing their unique strengths and perspectives. The Rainbow Economy Model promotes the integration of social, environmental, and economic factors in decision-making processes, aiming to create a balanced and equitable society. This research aims to explore the principles and potential implications of the Rainbow Economy Model, assess its feasibility in different contexts, and identify strategies for its implementation. The research adopts mixed methodology to ascertain the holistic sustainability circular model namely the “The Rainbow Economy Model”. The practical, the social implications are quite evident, and the contribution is the data collected for future research and the Rainbow model of Sustainability.
Category: Sector: Economy
Hard Questions: Economy
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The Usefulness of Big Data and IoT/AI at Dubai University. Kurdish Studies, 12(2), pp.6198-6220
Digital transformation is disrupting most sectors and most so the education sector. Universities across the world are using technology to reach out to students and to deliver classes remotely enabling students and staff to adopt modern emerging technologies. Dubai University, based in the heart of a technological hub, has the unique opportunity to leverage cutting-edge technologies like Big Data, the Internet of Things (IoT), and Artificial Intelligence (AI) to revolutionize its academic and operational landscape. This research study explores the usefulness of emerging technologies in enhancing Educational Experiences by analyzing Big Data of student learning patterns, engagement levels, and performance to unlock personalized learning pathways, adaptive courseware, and targeted interventions. AI-powered tutoring systems and virtual labs offer immersive and customized learning experiences shortly. IoT sensors can monitor and manage energy consumption, building security, and resource allocation, leading to sustainable and efficient campus operations. AI-powered systems can automate administrative tasks, streamline processes, and provide predictive maintenance for facilities. The main contribution of the study is using PLS-SEM modeling to analyze Big Data enabling researchers to extract insights from vast datasets and make data-driven discoveries. AI-powered tools can aid in research design, data analysis, and scientific simulation, fostering a culture of innovation. This study will employ a mixed-method approach, utilizing quantitative data analysis of existing university data sets and qualitative interviews with stakeholders. The findings will contribute to developing a strategic roadmap for the optimal integration of Big Data, IoT, and AI within Dubai University’s ecosystem. This research aims to position Dubai University as a pioneer in education and innovation, setting a benchmark for higher education institutions in the region and beyond. The study aims to provide insights to empower decision-makers at Dubai University to make well-informed choices regarding the adoption and integration of emerging technologies. The study facilitates strategic planning by comprehensively grasping the challenges and opportunities presented by digital transformation. Moreover, it guides resource allocation and offers recommendations for leveraging data analytics to support students who may be at risk.
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Preconference workshop for International AI Policy Conference at MILA.
Aula Fellows presented a pre-workshop on asking hard questions on AI. Participants practiced identifying key chaarceristics of hard questions and discussing them together. During the conference that followed, several participants stood and asked hard questions, and several presenters were very happy to receive support and feedback on their most pernicious problems. We were able to build on existing collaborations and continue with or bridge-building between all the people and the people in decision-making roles on AI in society.
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The missing voices at AI conferences
Policymaking should be a society-wide effort, including elected officials, government employees, academics, business leaders, civil society groups and individuals. In theory, each of us should be able to participate.
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Public Consultation: AI & Copyright, Canada
This white paper is a response to Industry Canada’s public call for expert consultation on AI and Copyright. The consultation had specific questions, which are reproduced with our
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Travailleurs du savoir, l’IA changera votre quotidien
Les professionnels et les travailleurs du savoir, en particulier ceux qui n’ont pas encore utilisé l’intelligence artificielle (IA), peuvent être enclins à avoir de fausses idées qui masquent l’ampleur des perturbations à venir.
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Unveiling AI Concerns for Sub-Saharan Africa and its Vulnerable Groups
In Sub-Saharan Africa (SSA), artificial intelligence is still in its early stages of adoption. To ensure that the already existing class imbalance in SSA communities does not hinder the realization of the Sustainable Development Goals, such as data security, safety, and equitable access to AI technologies, acceptable reliability measures must be put in place (as policies). This paper identifies some of the vulnerabilities in AI and adds a voice to the risks and ethical concerns surrounding the use of AI and its impact on SSA and its vulnerable groups. Our systematic literature review of related research between January 2014 and June 2024 shows the current state of AI adoption in SSA and the socio-political challenges that impact its development, revealing key concerns in data Governance, safety privacy, educational and skill gaps, socioeconomic impacts, and stakeholder influence on AI adoption in SSA. We propose a framework for designing data governance policies for the inclusive use of AI in SSA.
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Do They Really Care about Us? On the Limits of State Intervention
This paper examines the limits of state intervention through the relationship between freedom and equality, the rule of law and social justice, as well as through two highly contradictory concepts regarding the scope of government action – the concepts of minimal state and paternalistic state. Accordingly, we seek to identify a model capable of outlining the extent to which the state can intervene in the light of socially beneficial goals, but without compromising individual freedom. Since we cannot find such a model within the extreme positions of liberalism and socialism, this paper seeks to offer a satisfactory solution by mitigating some of the ideologically exclusive positions. It embraces Aristotle’s teaching about the middle as a virtue and proposes sophisticated neoliberalism as a potential alternative to the status quo. Still, as insisted, the government should never be allowed to assume uncontrollable powers and create conditions for collectivist doctrines that recognize no individual freedom.
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Using Science to Support and Develop Employees in the Tech Workforce—An Opportunity for Multidisciplinary Pursuits in Engineering Education
The majority of students who choose to major in engineering do so to become a part of the community of practice of professional engineers (Johri & Olds, 2011), meaning that they want to have adequate exposure to what a career as a professional engineer could potentially be as part of their college experience. However, according to Jonassen (2014), engineering graduates are not well trained to contribute to the workplace due to the complexities associated with engineering work. Stevens, Johri, and O’Connor (2014) described engineering work as that which involves complexity, ambiguity, and contradictions. Since developing the skills for innovation involves analysis of complex, ambiguous, ill-defined, real-world problems (Daly, Mosyjowski, & Seifert, 2014; Newell, 2010), students must have an opportunity to, at the very least, be exposed to multidisciplinary teams. This emphasis on the need for exposure to multi-disciplinary problem solving holds true not only for undergraduate engineers in training, but also for graduate students focused on engineering education.
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Excellence, Belonging, and the American Dream: An Auto-ethnography on Being International in Engineering
This research paper uses an auto-ethnographic approach to highlight experiences of women of color who are international in U.S. engineering workforce and classrooms. Three preliminary themes are highlighted in this paper. The first is the theme related to the notion of Excellence, and how the definitions of success for immigrating or international engineers may be tied to maintaining visa status. The second theme centers around the lack of Sense of Belonging expressed by participant-authors. The final theme was around Chasing the American Dream and the resultant sacrifices. We hope this paper not only provides an overview of some of the unique challenges faced by international women of color, but also drives more interest in better understanding this oft-overlooked group in engineering.