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Aging with Dignity: Exploring the Imperative of Universal Social Pension Agnihotri, Aastha
International Journal of Applied and Scientific Research Vol. 1 No. 4 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijasr.v1i4.1070

Abstract

This research addresses the multifaceted challenges faced by older individuals in terms of financial security and the implications for their ability to age with dignity. By examining the impact of aging on economic well-being, the study delves into the theoretical foundations and practical implementations of universal social pension programs globally. It explores the dynamic interplay between financial constraints and dignified aging, considering aspects such as healthcare access, social participation, and overall well-being. A critical component of the research involves assessing the impact of aging on financial security, evaluating the relationship between financial security and dignified aging, identifying opportunities for improving universal social pension programs and providing recommendations for policy and practice. This research contributes valuable insights to the academic discourse on aging and social welfare, fostering a deeper understanding of the complexities inherent in ensuring dignified aging. The findings are anticipated to inform policy decisions, shape interventions, and contribute to the ongoing global dialogue on creating inclusive environments that prioritize the well-being and dignity of the aging population.
Addressing Environmental Challenges through Artificial Intelligence (AI)-Powered Natural Disaster Management Singh, Vijay; Agnihotri, Aastha
International Journal of Applied and Scientific Research Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijasr.v2i5.1413

Abstract

Recent advancements in AI offer promising tools for enhancing disaster management which is crucial given the increasing frequency of climate-related disasters. The study aims to evaluate how AI technologies can be utilized to improve disaster preparedness, response, and recovery efforts, thus aiding in environmental resilience and sustainability. This paper examines the intersection of artificial intelligence (AI) and environmental sustainability, with a focus on the role of AI in managing natural disasters. By reviewing secondary data and existing research, the paper explores various AI applications such as predictive modeling, real-time monitoring, and decision support systems. The analysis reveals that AI can significantly enhance early warning systems, optimize the allocation of resources, and ensure timely interventions during emergencies. The findings highlight the importance of integrating AI technologies into disaster management strategies to foster environmental sustainability amidst growing climate-related risks. The paper also discusses the challenges and ethical considerations of implementing AI in this field and underscores the need for interdisciplinary collaboration and stakeholder engagement for successful implementation.