Wanlin Fang | Government and Public Policy Analysis | Best Scholar Award

Ms. Wanlin Fang l Government and Public Policy Analysis | Best Scholar Award

Institute of Disaster Prevention, China

Author Profile

Orcid

🎓 Early Academic Pursuits

Ms. Wanlin Fang is currently a Master’s degree candidate at the Institute of Disaster Prevention, specializing in catastrophe insurance and disaster-related public opinion. Her academic journey has been marked by a strong research focus on the factors influencing the acceptance of earthquake catastrophe insurance. She has published research on the topic, contributing valuable insights into the role of government-insurance collaboration in disaster risk management.

💼 Professional Endeavors

Ms. Fang’s professional work is centered around the field of disaster risk reduction. She has completed research on risk assessment and public opinion regarding earthquakes in Sichuan, publishing her findings in reputable journals such as the Journal of Seismological Research and the International Journal of Disaster Risk Reduction. She has not yet taken on consultancy or industry projects, nor has she published books or patents, but her scholarly contributions are notable in the academic field.

🔬 Contributions and Research Focus

Ms. Fang developed a novel framework that integrates public services, risk preferences, and insurance product design to analyze the acceptance of earthquake catastrophe insurance. Using PLS-SEM (Partial Least Squares Structural Equation Modeling), her research examines the role of government-insurance collaboration in improving disaster preparedness. Her findings have made significant contributions to disaster risk management strategies, especially in the context of enhancing disaster resilience through tailored insurance solutions.

🌍 Impact and Influence

Ms. Fang’s research has influenced the understanding of public-private collaboration in disaster preparedness, offering actionable insights into how the insurance sector can be better integrated into government-led risk management strategies. Her work on earthquake catastrophe insurance acceptance has the potential to improve disaster resilience, particularly in earthquake-prone regions. Her publications continue to shape how public opinion is considered in disaster-related policy-making.

📚 Academic Citations

  • Q. Yuan, W. Fang, R. Sun, J. Hu, “Risk assessment and survey of the public opinion on three earthquakes in Sichuan in 2022,” Journal of Seismological Research, 47 (2024) 263–272. (in Chinese)
  • W. Fang, Q. Yuan, “A study on factors influencing the acceptance of earthquake catastrophe insurance from the perspective of government-insurance collaboration,” International Journal of Disaster Risk Reduction, 116 (2025) 105164.

Her work has begun to attract citations, marking her growing influence in the field.

💻 Technical Skills

Ms. Fang is proficient in data analysis and statistical modeling techniques, particularly PLS-SEM, to analyze complex relationships in disaster risk management and insurance acceptance. Her skills in research design, data interpretation, and scientific publication allow her to produce high-quality insights into disaster preparedness and public opinion dynamics.

📚 Teaching Experience

While Ms. Fang has not yet had formal teaching roles, her research publications and contributions to academic discourse demonstrate a strong foundation in sharing knowledge and advancing the field of disaster risk management. Her expertise positions her well to contribute to future teaching and mentoring in this domain.

🏆 Legacy and Future Contributions

Ms. Fang is poised to make significant future contributions in the field of catastrophe insurance and disaster risk management. By continuing her research on integrating public-private collaboration in earthquake preparedness, her work will likely impact policy decisions and strategies aimed at improving disaster resilience in vulnerable communities. Her dedication to advancing the field ensures that she will continue to be a valuable contributor to both academia and practical disaster management solutions.

📖 Top Noted Publication
A study on factors influencing the acceptance of earthquake catastrophe insurance from the perspective of government-insurance collaboration
  • Authors: Wanlin Fang, Qinglu Yuan
  • Journal: International Journal of Disaster Risk Reduction
  • Year: 2025

Abdelaziz Darwiesh – risk management Award  – Best Researcher

Mr. Abdelaziz Darwiesh - risk management Award  - Best Researcher 

Mathematics Department, Faculty of Science - Egypt

Author Profile

Early Academic Pursuits

Mr. Abdelaziz Darwiesh's academic journey commenced with a Bachelor of Science in Pure Mathematics & Computer Science from Al-Azhar University, Nasr City, Egypt, where he graduated with honors in 2012. Building upon this foundation, he pursued a Master of Science in Statistics & Computer Science at Damietta University, Egypt, from 2017 to 2019. His master's thesis focused on modeling and providing explicit solutions for computer-based storage systems. This early academic pursuit laid the groundwork for his subsequent endeavors in academia and research.

Professional Endeavors

Throughout his career, Mr. Darwiesh has held various teaching and research positions, contributing significantly to the fields of data science and computer science. From 2019 to 2020, he served as an Assistant Lecturer at Delta Higher Institute for Computers, where he imparted knowledge on topics such as Data Structure with C# and Preparing Reports using Computer Applications. Simultaneously, he worked as an Instructor at IBI Institute for Survey and Information Systems, teaching courses on Web Design, Excel, and Windows.

Mr. Darwiesh's dedication to academia is evident from his current role as a part-time Assistant Lecturer at Damietta University, where he teaches a diverse range of courses including Information Security, Machine Learning, and Artificial Intelligence. Additionally, he is actively involved in research, focusing on areas such as natural language processing, social media analysis, and risk management.

Contributions and Research Focus

Mr. Darwiesh's research interests center around the utilization of natural language processing techniques for risk management based on social media user perceptions. His current research endeavors include exploring innovative approaches to identify, assess, and control risks using big data analysis from social media platforms. This interdisciplinary approach bridges the gap between computer science and social sciences, offering valuable insights for businesses and organizations.

Accolades and Recognition

Mr. Darwiesh's contributions to academia and research have garnered significant recognition both nationally and internationally. Notable accolades include the Best Paper Award at the 8th International Conference On Business Intelligence in Turkey (2023) and the Best Master Thesis Award from the Egyptian Mathematical Society (2022). His commitment to excellence and scholarly achievements have earned him the International Distinguished Student Award from Natural Science Publishing, USA (2021), further affirming his standing as a prominent figure in the field of data science.

Impact and Influence

Mr. Darwiesh's research outputs, including published papers and conference presentations, have contributed to advancing knowledge in areas such as intelligent risk management systems, business intelligence, and artificial intelligence. His work has been published in reputable journals and presented at prestigious conferences, garnering attention from peers and scholars globally. Furthermore, his role as the Chair of the NLP Track at the 4th Annual International Competition in Data Science & Artificial Intelligence underscores his leadership and influence within the academic community.

Legacy and Future Contributions

Mr. Darwiesh's legacy lies in his dedication to education, research, and community engagement. As the Founder and CEO of Egyptian Data Scholars, he has initiated initiatives aimed at nurturing the next generation of data scientists and promoting scientific research in Egypt. Through his leadership roles and professional activities, he continues to inspire and empower aspiring researchers and scholars. Looking ahead, Darwiesh remains committed to pushing the boundaries of knowledge in data science and making meaningful contributions to academia and society at large.

Notable Publication