Abstract: This study examines the dynamic relationship among Gross Domestic Product (GDP), unemployment, and government expenditure in Bangladesh from 2010 to 2025. The analysis highlights a period of robust economic performance, with GDP growth consistently averaging above 6%, driven primarily by manufacturing, garment exports, and the service sector. Despite the significant disruption caused by the COVID-19 pandemic in 2020, which saw growth dip to 3.45%, the economy demonstrated structural resilience and a rapid recovery.
Concurrently, government expenditure has expanded significantly as a fiscal tool for development, particularly through large-scale infrastructure projects and social safety nets. Public spending rose from BDT 1,217 billion in 2016 to over BDT 2,218 billion by 2025. However, this expansionary stance has not fully addressed labor market inefficiencies. Unemployment has remained relatively stable between 3% and 5%, suggesting that the link between GDP growth and job creation is weak, thereby offering only limited support for Okun’s Law in the Bangladeshi context. The study identifies persistent structural challenges, including high youth unemployment and skill mismatches, and concludes that inclusive growth policies and labor market reforms are essential to translate macroeconomic gains into sustainable employment generation.
Abstract: War, political instability, persecution, human rights violations and natural calamities have forced millions of people to involuntarily run from their homes in search of safety and stability, due to these sorrowful reasons humanitarian crisis arises and explains what really happens with these refugees. Europe has become one of the major destinations for refugees escaping such crises, however their experiences and what they are truly going through in order to survive is frequently reduced to policy debates. This paper strives to understand humanitarian crises, forced migration and refugee mental health challenges in Europe through a psychological perspective along with understanding the importance of global governance.
This study uses a qualitative content analysis approach as it uses secondary data from international organization and existing research literature to assess the reasons for forced migration. The refugees who flee from their home countries don't migrate voluntarily because migration for them becomes a vital necessity when safety, dignity and basic rights are threatened to them and their families. They come across financial burden, unemployment, legal uncertainty, social exclusion, discrimination and very limited access to healthcare and mental health services. The existing literature regularly shows that these stressors built-up over time have severe psychological repercussions.
The refugees show a very high prevalence of mental health disorders such as post-traumatic stress disorder (PTSD), complex traumatic stress disorder which happens due to persistent exposure to trauma, depressive and anxiety disorders, sleep disturbances and somatic symptom disorders. This study also addresses how India-Europe collaboration would help through policy exchange frameworks and community-based mental health interventions.
Abstract: There have been numerous ways in which Artificial Intelligence (AI) has revolutionized the educational process through its ability to deliver adaptive instruction, intelligent tutoring, feedback mechanisms, learning analytics, and learning through Generative AI. AI-driven personalized learning is able to provide personalized education for students, thus not only enhancing the academic achievements but also the processes involved in regulating and engaging in learning. Several studies have found that AI is able to facilitate self-regulated learning (SRL), depending on the technological design, instructional context, length of intervention and level of teacher and learner participation (Zhu & Sari, 2026; Xu et al., 2026). The current paper focuses on the possible effect of AI-driven personalized learning on three related learner outcomes including self-regulated learning, academic engagement, and learning autonomy among secondary school students. This research brings together international literature along with Indian literature such as Babbar, Raju and Kumari’s studies regarding Generative AI and Learning Efficiency in the Indian educational setting. The structured research approach and quantitative method are introduced, and then illustrated with statistical findings. The literature indicates that personalisation through AI can be effective in terms of helping learners to monitor and regulate their activities; however, it will not help in case the dependence on technology becomes too high and there is no pedagogical scaffolding present. That is why the paper concludes in favour of human-centered approach and AI as a tool rather than substitution of teachers and cognitive processes.
Abstract: Technology has emerged as a transformative force shaping global development, social equity, and environmental sustainability. From artificial intelligence and digital health systems to renewable energy and smart infrastructure, technological innovation is redefining economies, governance, and human well-being. However, unequal access to digital resources, infrastructural disparities, and ethical challenges continue to widen global inequalities. This chapter explores how technology functions as a catalyst for global change by examining its role in innovation ecosystems, social inclusion, and sustainable development. It critically analyzes digital transformation across sectors such as healthcare, education, industry, and environmental management, while addressing issues of digital divide, data governance, and ethical responsibility. The chapter further aligns technological advancements with the Sustainable Development Goals (SDGs), emphasizing inclusive innovation and policy-driven transformation. Through conceptual frameworks and global case illustrations, it proposes a balanced pathway that integrates innovation with equity and sustainability. Ultimately, the chapter argues that technology, when guided by ethical governance and inclusive policies, can serve as a powerful instrument for achieving resilient and sustainable global futures.
Abstract: Women entrepreneurs are the most rapidly expanding section of global entrepreneurship and have garnered significant attention from several scholars, particularly in recent years. Emerging entrepreneurship literature indicates that females contribute significantly to entrepreneurial activities and economic growth by generating new jobs and enhancing gross domestic product.This study presents a comprehensive bibliometric analysis based on data extracted from the Web of Science record to explore the key trends, themes, and contributions in women entrepreneurship research. Using VOS viewer, the study maps keyword co-occurrences, identifies prominent themes, and analyzes the geographical distribution of publications. Findings highlight critical intersections of gender, innovation, and sustainability in entrepreneurship, revealing emerging areas for future research and policy development to foster global inclusive ecosystems for women entrepreneurs.