过去一个世纪，随着学科知识结构和学科体系的建立，科学研究逐步分化成相互独立的学科。然而，随着近年来科技的迅速发展，人类面临的新问题日益复杂，仅仅依靠单一学科的研究往往难以解决，因此，相关学科开始汇聚并趋向高度融合方向发展。总书记在两院院士大会上就提到：“学科之间、科学和技术之间、技术之间、自然科学和人文社会科学之间日益呈现交叉融合趋势，科学技术从来没有像今天这样深刻影响着国家前途命运，从来没有像今天这样深刻影响着人民生活福祉。”
心理学作为一门既有自然科学也有社会科学属性的学科，具备了在自然科学与社会科学交叉研究中扮演重要作用的学科基础。但心理学研究者要进行真正的交叉科学研究，需要科研人员具备相对广博的专业知识和综合技能，需要多学科背景的研究人员或来自不同学科背景的研究者共同协作，分别调试各自的研究途径，实现对研究对象更准确和深入的认知。
因此，社会文化与情感神经科学实验室推出“面向人类社会的可持续发展”逸仙交叉科学系列讲座，广泛邀请与人类可持续发展相关的各个学科领域青年学者介绍其领域的研究思路与最新成果，给广大青年科研工作者提供一个了解各学科研究前沿的平台，为削弱交叉科学研究发展过程中的制约壁垒，促进交叉科学研究深度发展尽一份力。
第十二期讲座信息
讲座时间
2025/1/7 14:30
讲座主题
从数据驱动的视角揭示多维城市物理环境对福祉的影响机制
主讲嘉宾
韩诺，北京师范大学文理学院心理系讲师
讲座地点
中山大学东校区心理学系502
讲座摘要
Urbanization is a significant feature of China’s social development. While rapid and large-scale urbanization has brought profound social changes, it has also exposed residents to increasingly complex environmental risks. Understanding the mechanisms through which urban environments influence residents' well-being is essential for providing a scientific basis for effective social policy development.
Existing research has extensively explored the economic and social impacts of urbanization on well-being, but growing evidence underscores the pivotal role of the physical environment. Nevertheless, key challenges remain. For instance, multiple physical environmental risk factors often coexist, with collinearity and interactions complicating their individual contributions. These factors also intersect with individual characteristics, creating a dynamic network that makes isolating specific causal relationships difficult. Furthermore, while studies of micro-environments are relatively abundant, research on macro-environmental influences remains insufficient. Given China's vast territory and diverse geographical and climatic conditions, residents across regions face distinct environmental risks, further complicating the formulation of universal conclusions.
Our study aims to investigate the mechanisms by which urban physical environments on residents' well-being at both micro and macro levels, focusing on the multi-dimensional and interactive nature of these environments. By integrating data science methodologies, we extend traditional approaches to identify well-being risk factors and environmental mechanisms for diverse populations through a data-driven lens. The findings will provide a foundation for developing health policies, targeted environmental interventions, and evidence-based strategies for precision public health.
嘉宾简介
韩诺，理学博士，现任北京师范大学文理学院心理系讲师，在《Journal of Medical Internet Research》，《Applied Psychology: Health and Well-Being》等刊物发表学术文章10余篇。研究工作集中于大数据驱动的身心健康研究，如基于社交媒体数据的心理感知建模和统计分析，以及城市环境对居民身心健康的影响。
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