The integration of Generative Artificial Intelligence (GenAI) in architecture education presents transformative opportunities for design processes, visualization, and creative problem-solving. GenAI, with its ability to generate design alternatives, automate repetitive tasks, and enhance decision-making, offers a paradigm shift in architectural pedagogy. To fully harness these benefits, architecture education must evolve, embedding GenAI tools strategically to enhance student engagement and optimize learning outcomes. This study investigates the potential of GenAI to redefine teaching methodologies in architecture by analyzing its effects on academic experiences and student achievements. Using a mixed-methods approach that includes survey questionnaire and recently published literature on GenAI, identifies key pedagogical shifts and proposes best practices for integrating GenAI into architecture education. The findings will provide insights into how GenAI can be used as a pedagogical tool to cultivate creativity, improve design efficiency, and enhance critical thinking skills among architecture students.
This study investigates the interplay between digital accessibility, digital skills, and digital literacy in shaping the entrepreneurial mindset and ecosystem in the Middle East. Despite growing digital entrepreneurship initiatives in the region, there remains limited empirical understanding of how digital readiness translates into entrepreneurial capacity and innovation. Grounded in the Resource-Based View (RBV) and Technology Acceptance Model (TAM), the research employs Structural Equation Modeling (SEM) to analyze survey data from 250 entrepreneurs across diverse industries. Findings reveal that digital accessibility, skills, and literacy significantly contribute to the development of an entrepreneurial mindset, which, in turn, mediates their impact on the broader entrepreneurial ecosystem. Specifically, digital literacy enhances critical thinking, risk evaluation, and cybersecurity awareness, while digital skills foster innovation and adaptability. Digital accessibility reduces geographic and financial barriers, enabling broader participation in entrepreneurial activity. The results emphasize the critical role of a digitally empowered mindset in fostering resilient and sustainable entrepreneurship. The study offers practical insights for policymakers and educators aiming to strengthen digital inclusion and entrepreneurial capacity in the MENA region. By addressing the interdependencies between digital readiness and mindset, this research contributes a comprehensive framework to the digital entrepreneurship literature and supports more inclusive innovation-driven development in emerging economies.
This paper critically examines both the promises and pitfalls associated with Web3 decentralization within the evolving landscape of global governance, increasingly influenced by Generative AI (GenAI). It questions whether Web3 technologies meaningfully redistribute power or primarily strengthen a new cyber-libertarian elite composed of technologically skilled individuals with significant digital capital. Drawing from extensive fieldwork action research conducted in Silicon Valley since August 2022, as well as direct interactions with scholars and practitioners—including detailed dialogues held in Washington, DC, in April 2025—the analysis explores the underlying techno-political beliefs driving the global Web3 movement. Advocates commonly depict Web3 as an effective means to break centralized data monopolies and challenge traditional state institutions. However, this paper argues that decentralization does not inherently lead to democratization. Instead, Web3 potentially reproduces or even deepens existing hierarchies rooted in algorithmic control and digital privilege, especially when integrated with GenAI systems. To illustrate this point, the paper delineates three emerging paradigms shaped by Web3 logic: (i) Network States, promoting crypto-libertarian models of governance; (ii) Network Sovereignties, enabling collective self-determination for marginalized groups; and (iii) Algorithmic Nations, constructing decentralized, data-driven infrastructures aimed at global collaboration. While innovative and provocative, these paradigms simultaneously raise significant concerns about inclusivity, equity, and the concentration of technocratic influence. The paper concludes by proposing hybrid policy frameworks that acknowledge global power imbalances and local contextual realities, highlighting the urgency of pursuing digital justice and fostering international cooperation within a GenAI-powered Web3 environment.
Recognizing what is happening in a movie is an essential aspect of various software, such as video analysis, video surveillance, and human-computer interaction. However, the presence of out-of-distribution (OOD) samples can often hamper the performance of action recognition systems. The purpose of this work is to develop a system that can detect human actions in video sequences along with detecting OOD samples. We propose a simple model that uses I3D features to identify the actions in the video. To detect the unseen (OOD) samples we analyzed various loss-functions that drops the confidence of model more on the unseen samples as compared to seen samples. We evaluated our system’s performance on the UCF101 dataset. The results show that proposed model detect seen actions with 91
Agile software development projects prioritize customer requirement changes and incremental feature delivery, adding value to both the customer and the business. Yet, the accommodation of such characteristics within the software development process may hinder the establishment of contracts between clients and software developers. For example, there's a mismatch between traditional project-contracting, which often emphasizes time and labor-hours, and agile methodologies, inherently outcome-oriented. This paper employs a mixed-methods approach, combining systematic literature review and qualitative research to identify and compare best practices for setting up contracts in agile software development projects. The aim is to establish an objective search algorithm for the compilation of relevant academic studies that research main practices, challenges, and components that influence agile contracting processes. At the same time, semi-structured interviews with agile practitioners were organized to investigate the best agile contracting methods used in practice. The literature survey findings align with the experts when acknowledging specific contract types (e.g., ‘Time and Materials’ contracts) as flexible frameworks for adapting to agile principles. However, the findings also indicate discrepancies between the academic literature and expert insights in terms of the factors affecting the contracting choices for development projects performed in agile manner.
