GEEF

The session focuses on integrating resilience into urban planning and governance frameworks to ensure sustainable urban development. By addressing disaster risk management, urban recovery, and social sector engagement, it aims to highlight practical approaches for cities to adapt to and recover from climate-related shocks. Additionally, the session will explore how collaborative efforts among policymakers, urban planners, and corporate leaders can lead to actionable frameworks that promote resilience and sustainability.

In recent years, global discussions have increasingly recognized resilience as a cornerstone of sustainable development. This session underscores its significance by examining innovative policies and real-world case studies from diverse regions. For example, speakers will highlight best practices from Asia-Pacific cities that have faced and overcome climate-induced challenges. Moreover, discussions will emphasize the importance of equitable resilience planning that accounts for vulnerable populations and fosters inclusivity.

Ultimately, this session focuses on enhancing urban resilience in response to climate change by integrating resilience into urban planning and governance frameworks. It aims to provide participants with practical approaches for cities to adapt to and recover from climate-related shocks, while exploring how collaboration among policymakers, urban planners, and corporate leaders can lead to sustainable urban systems.

This session aims to explore strategies for enhancing urban resilience in the context of climate-related disasters and challenges. Specifically, it seeks to:

• Highlight Strategies for Urban Resilience: Share innovative approaches to integrate resilience into urban planning and disaster risk management.
• Showcase Practical Case Studies: Present real-world examples of cities that have successfully adapted to climate-induced challenges, emphasizing inclusive and sustainable solutions.
• Foster Collaborative Frameworks: Encourage dialogue among policymakers, urban planners, and corporate leaders to create actionable and scalable resilience frameworks.

This session aims to explore the potential of AI, guided by HCI principles, to foster engagement and empower diverse populations in achieving the SDGs. By focusing on inclusivity, transparency, and accountability, the session seeks to:

1. To showcase the role of AI and HCI in advancing the UN SDGs by improving user engagement and empowering diverse populations.
2. To discuss how HCI principles can ensure inclusivity, transparency, and accountability in AI-driven systems related to SDGs.
3. To highlight best practices and case studies where AI has successfully enhanced community involvement and decision-making processes for sustainable development.
4. To propose strategies for developing AI systems that are human-centric, culturally sensitive, and geared toward achieving specific SDGs.

This session will feature thought-provoking discussions, interactive demonstrations, and expert insights to inspire meaningful actions and partnerships.

The purpose of this session is to explore how low-field MRI and AI-driven innovations can enhance the sustainability of medical imaging. As healthcare systems strive to reduce costs, energy consumption, and resource dependency, low-field MRI presents a viable alternative to traditional high-field systems. However, technical challenges such as lower image resolution and signal quality have limited its adoption. This session will highlight how AI techniques, such as deep learning-based image reconstruction and denoising, can overcome these limitations, making low-field MRI a practical, cost-effective, and environmentally sustainable solution.

The session will be organized into two key discussions:

1. Sustainability through Low-Field MRI

• Exploring the environmental and economic benefits of low-field MRI.

• Addressing challenges related to image quality, accessibility, and clinical adoption.

• Examining how low-field MRI reduces energy consumption, operational costs, and environmental impact.

2. Improving Sustainability through AI in Low-Field MRI

• Discussing AI-driven advancements that enhance low-field MRI performance.

• Leveraging AI to enhance image quality, enabling low-field MRI to meet clinical diagnostic standards.

By addressing these challenges, this session aims to foster a more sustainable, accessible, and equitable future for medical imaging. The discussion will bring together experts in radiology, medical physics, AI, and healthcare policy to explore practical solutions for integrating low-field MRI and AI into mainstream clinical practice.

The Social Engagement Fund (SEF) program, launched in July 2018 by IGEE at Yonsei University, was established to support a diverse range of research activities aimed at advancing the Sustainable Development Goals (SDGs). Student researchers from around the world were invited to submit proposals for research and projects that addressed and assessed the impact of the SDGs. These researchers not only exchanged knowledge but also delivered tangible results. Their work was evaluated by expert panels, and the teams developed innovative solutions to global challenges by bridging local communities with international research institutions. Outstanding teams were recognized and awarded for their contributions and impact on the SDGs.