Modeling Complex Adaptive Systems in Life and Social Sciences (Part 2)

Organizers:

Yun Kang (Arizona State University), Tao Feng, Yangzhou University & University of Alberta

Description:

Utilizing complex adaptive systems in modeling has proved to be a powerful tool for understanding various aspects of life and social sciences, spanning across spatial and temporal scales. Our special session will bring together a group of distinguished and diverse scholars from mathematics, biology, ecology, and epidemiology, who are experts in applying mathematical models and theoretical analysis to gain insights into important biological, epidemiological, and social issues. The session aims to provide an effective platform for presenting and discussing the latest research, fostering collaboration among professionals from different universities and varied career stages. Our goal is to foster a rich exchange of ideas, which is why we have assembled a group of researchers with diverse backgrounds, with a focus on promoting minority representation, who are based at different institutions across different countries. Our guest speakers range from early career to senior researchers including many researchers from minority group, ensuring that all individuals have an equal opportunity to present their findings and engage in collaborative efforts.

Diversity Statement:

Our three sessions, featuring 12 speakers, aim to foster a rich exchange of ideas through diverse perspectives. With one-third of the speakers being female and representation across multiple countries and career stages, the sessions emphasize inclusivity and minority representation. From early-career researchers to senior scholars, this approach ensures equal opportunities for participants to present their findings and engage in meaningful collaborations.