Organizer: Behavior and Data Science Lab, School of Public Policy and Management, Tsinghua University
Laboratory of Computational Social Science and State Governance, Tsinghua University
Journal of Public Management
Time: August 15-16, 2023
Venue: School of Public Policy and Management, Tsinghua University
- This conference continues to advocate for eco-friendly practices, making maximum efforts to reduce carbon emissions, with the following initiatives and measures:
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- To avoid unnecessary waste from overordering food and refreshments, please fill out in advance whether you will attend lunch and dinner through the link provided. If there are any changes, please be sure to inform the volunteers of the organizing committee at least 4 hours before mealtime.
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• Moderators and conference volunteers should strictly control the scheduled time.
• While using the conference manual, click the “Table of Contents” on the phone screen to jump to the corresponding module. There is also the “Table of Contents” option on the left side of the computer screen.
Opening Ceremony 开幕式&合影
Moderator: Xiaoli Lu, Tsinghua University, Executive Director of the Behavior and Data Science Lab
Welcome speech by：
Zongchao Peng, Tsinghua University, Chairman of the school council, School of Public Policy & Management, Director of the Administrative Committee of the Behavior and Data Science Lab
Yongheng Yang, Tsinghua University, Dean of the Office of Arts, Humanities and Sociences Administration, Director of the Behavior and Data Science Lab
Qingguo Meng, Tsinghua University, Executive Director of the Laboratory of Computational Social Scienceand and State Governance
Jianing Mi, Harbin Institute of Technology, Professor at the School of Management, Harbin Institute of Technology, Chief Editor for the Journal of Public Administration
Symposium Program 会议报告
Invited Speech (English): 45-minute speech & 15-minute Q&A
Invited Speech (Chinese): 30-minute speech & 10-minute Q&A
Selected Paper Presentation: 15-minute presentation & 5-minute Q&A.
August 15th (Beijing time) 8月15日
Invited Speech 主旨演讲
09:00-10:00 Dispatching Emergency Service: Language Practices in Radio Encounters Between Police Dispatchers and Field Officers Steven Clayman, University of California, Los Angeles
10:00-10:40 Emotional Governance of Street-Level Bureaucracy and Action Strategies of Street-Level Bureaucrats--Conversation Analysis Basing on Frontline Worksite Weiwei Dong, Jilin University
10:40-11:00 Tea Break 茶歇
11:00-11:40 Doctor-Patient Communication, Doctor-Patient Relationship, and Antibiotic Over-Prescriptions in China Nan Christine Wang, Hunan University
11:40-12:20 Convergence or Divergence? Research on the Influence of Interactive Danmu on Emotions of Online Video Viewing Qiaolei Jiang, Tsinghua University
12:20-14:00 Lunch 午餐
14:00-15:00 Video Data Analysis in the 21st Century: Future Multi-Disciplinary Avenue Anne Nassauer, University of Erfurt
15:00-16:00 Insights into Work Practice: Video-based Research, Social Interaction and Organization Studies Jon Hindmarsh, King’s College London
16:00-16:20 Tea Break 茶歇
16:20-17:00 Big Data Computation for Video Analysis in Complex Scenarios Hongzhi Wang, Harbin Institute of Technology
17:00-17:40 Research on Speech Emotion Recognition Based on Multi-Modal Fusion Methods Shengfa Miao, Hongfeng Zheng, Yunnan University
17:40-18:20 Roundtable Discussion 圆桌讨论
主持人： 王楠 湖南大学
Moderator: Nan Christine Wang, Hunan University
Panel Discussants：Weiwei Dong, Qiaolei Jiang, Xiaoli Lu, Yongchi Ma, Jianing Mi, Shengfa Miao, Hongzhi Wang, Nan Zhang
18:30-20:30 Dinner 晚餐
August 16th (Beijing time) 8月16日
Invited Speech 主旨演讲
09:00-10:00 Resolving Sequential Standoffs in Police Encounters with the Public Geoffrey Raymond University of California, Santa Barbara
10:00-10:40 Modeling the Societal Deliberation Process in Public Budget Allocation Chen Wang, Tsinghua University
10:40-11:00 Tea Break 茶歇
Selected Paper Presentation 参会人报告
11:00-11:20 Turning“Biographies” into“Cases”: Frontline Workers’Rapid Labeling of Clients and its Impact on Service Delivery Xian Zhu, McGill University
11:20-11:40 Staging “Language Games” in Multi-departmental Joint Meetings: A Temporal Study of Discursive Interactions from the Sensemaking Perspective Tiancheng Cao, Tsinghua University
11:40-12:00 Moral Dynamicsin Social Moblization：A Multimodal Video Analysis Based on Levinas Yirao Wang, Zhengfa University of China
社会动员中的道德机制 —— 基于列维纳斯视角的视频案例分析
12:00-12:20 Do You Scan Me or Do I Scan You: Micro Social Interactions and Social Order in Mobile Payments Rongyu Li, East China University of Political Science and Law
12:20-14:00 Lunch 午餐
14:00-14:20 Heterogeneous Engagement in Risk Knowledge Dissemination: A Case Study of Food Crisis Videos Qi Huang, University of Science and Technology of China
14:20-14:40 Interaction Analysis of Conflict Process in Joint Emergency Response Meeting Yuan Zheng, Tsinghua University
14: 40-15:00 A Multimodal Critical Discourse Analysis of Artificial Intelligence Development: Comparing the Press Presentations of China and the United States Feng Gu, Wuxi University
15:00-15:20 An Appraisal Analysis of Disputants’Intentionality in Family Mediation Meiqi Li, Chongqing University
15:20-15:40 Governing the Elder Elite: A Video-based Ethnographic Analysis of a Massive, High-end Senior Retire Home in Beijing Zezheng Lin, United Nations Industrial Development Organization
15:40-16:00 Tea Break 茶歇
16:00-16:20 The Impact of Institutional Interactive Scene Video on Audience Information Reception: Taking COVID-19 Press Conferences as an Example Qiaoyun Zhang, Beijing Normal University - Hong Kong Baptist University United International College
16:20-16:40 The Multimodal Sensemaking of Location for Help Dispatch in Emergency Calls Lili Zhu, Tsinghua University
17: 00-17: 30 Closing Ceremony 闭幕式
Moderator: Xiaoli Lu, Tsinghua University
Bio of Invited Speakers 参会专家简介
Anne Nassauer is a sociologist with a research focus on interactions, deviant and collective behavior, and the use of 21st century video data for scientific inquiry. Her research lies at the intersection between sociology, social psychology, and criminology. After her PhD at Humboldt University and Columbia University, Anne Nassauer held an assistant professorship at Freie Universität Berlin with research stays at New York University and Yale University. Since April 2022 she holds a full professorship of sociology at University of Erfurt in Germany.
In her research Anne Nassauer often combines Video Data Analysis and interdisciplinary theoretical perspectives with the goal to better understand social processes and interaction. Anne Nassauer has published extensively on collective behavior, such as the emergence of crowd violence or collective rule-breaking, and criminal behavior such as robberies or rampages. Together with her colleague Nicolas Legewie, she has developed Video Data Analysis (VDA), a multi-disciplinary methodological framework for analyzing 21st century video data. Among a number of publications on the topic, in 2022 they published their book Video Data Analysis: How to Use 21st Century Video in the Social Sciences (Sage Publishing). Regarding video data, Anne Nassauer is concerned with data collection and management, analysis and quality criteria, as well as multi-disciplinary collaboration and research ethics. She is currently a guest editor for a special issue on VDA in Sociological Methods & Research, entitled“The Present and Future of Video-based Social Science Research: Innovations in Video Data Analysis”. In a current interdisciplinary research project, she will use virtual reality experiments, real-life video data and computer vision to understand collective rule-breaking.
Her research and teaching has received multiple awards, such as the 2021 Outstanding Recent Contribution in Social Psychology Award from the American Sociological Association's Section on Social Psychology, the 2020 Charles Horton Cooley Book Award from the Society for the Study of Symbolic Interaction and the Outstanding Contribution to Political Sociology 2020 Honorable Mention from the American Sociological Association's Section on Political Sociology.
At University of Erfurt, Anne Nassauer is currently establishing a Center for Interaction Analysis. The center aims to serve as an international multi-disciplinary hub for research on human interaction, especially through the use of Video Data Analysis. The center aims to bring together scholars working in the field through conferences, workshops, and collaboration.
Geoffrey Raymond is Professor of Sociology and Linguistics at the University of California–Santa Barbara. His research uses detailed analyses of large databases of video-recordings to examine talk-in-interaction as a point of production for social life. Current projects include understanding routine sources of trouble and inequity in police encounters with the public, situational factors and mechanisms in enactments of violence, and practices through which social categories are used, reproduced and resisted. His research has appeared in the American Sociological Review, Research on Language and Social Interaction, Social Psychology Quarterly, and Language in Society, among other places. He is also co-editor of several edited collections including, Talk and Interaction in Social Research Methods, Conversational Repair, and Human Understanding, and Enabling Human Conduct: Studies of talk-in-interaction in honor of Emanuel A. Schegloff.
Jon Hindmarsh is Professor of Work and Interaction at King’s Business School, King’s College London, UK, where he is also currently Head of the Department of Public Services Management & Organisation. His academic training was in geography and social research methods, before he completed a PhD in Sociology. While undertaking these degrees, he became increasingly interested in studies of social interaction, and has devoted the past thirty years to exploring the interactional foundations to work and organising in a range of settings. His analytic orientation is drawn from the allied traditions of ethnomethodology and conversation analysis, and his empirical work primarily takes the form of video-based studies of interaction and collaboration. When he began these studies, very few people were working with video as a tool to examine work practice, whereas now there is a growing body of scholars who appreciate the distinctive insights that video can offer to the disciplines of management, marketing and organisation studies. His recent projects have explored a wide range of topics and themes, including reconfigurations of teamwork in robot-assisted surgery; interactions between veterinarians and their clients in the delivery of animal care; and the embodied spatial practices of museum tour guides. He has published over seventy papers in edited collections and journals, including articles in Organization Studies, Human Relations, Organizational Research Methods, Sociology, Sociology of Health & Illness, Research on Language & Social Interaction and more. He has also authored or edited four books with colleagues, including Video in Qualitative Research (with Christian Heath and Paul Luff), Organisation, Interaction and Practice (with Nick Llewellyn), Workplace Studies (with Paul Luff and Christian Heath), and Communication in Healthcare Settings (with Alison Pilnick and Virginia Teas Gill). [Email: firstname.lastname@example.org]
Steven E. Clayman is Professor of Sociology at the University of California, Los Angeles. His research addresses human interaction as a topic in its own right, and as a window into social institutions ranging from law and policing to media and politics. His articles have appeared in sociology, communication, and linguistics journals, and he is the co-author (with John Heritage) of Talk in Action: Interactions, Identities, and Institutions (Wiley-Blackwell) and The News Interview: Journalists and Public Figures On the Air (Cambridge University Press).
Weiwei Dong is an associate professor and doctoral supervisor of Public Administration while he is also Head of Department of Public Administration, School of Public Administration at Jilin University. His research interests include basic theory of public administration, street-level bureaucracy and primary-level governance, administrative ethics, government innovation. He is a member of Excellent Young Teacher Training Program in Jilin University. He has published some papers in Public Administration, Chinese Public Administration (in Chinese), Journal of Public Management (in Chinese), Journal of Public Administration and other academic journals. The topics of his works are mainly about action strategies of street-level bureaucrats and generating mechanism of social order in grassroots governance by conversation analysis. The research on conversation analysis of street bureaucracy received funding from the National Social Science Foundation.
清华大学新闻与传播学院长聘副教授、博士生导师，院长助理、智媒研究中心副主任，现任SSCI期刊Technology in Society副主编，主要从事人与媒介交互、信息传播技术与社会变迁、数字包容、计算社会科学等领域的研究与教学，代表性论文发表于国内外知名学术期刊，出版专著Internet addiction among cyberkids in China: Risk factors and intervention strategies。主持国家社科青年项目、一般项目、重大项目子课题等，曾获北京市哲学社会科学优秀成果奖、国际媒介与传播研究学会席勒奖等，入选国家万人计划青年拔尖人才。
Qiaolei Jiang is an associate professor in the School of Journalism and Communication at Tsinghua University (see https://www.tsjc.tsinghua.edu.cn/en/info/1029/1355.htm), where she also serves as director of the Tsinghua-USC (University of Southern California) dual degree program in Communication Data Science, as well as vice director of the Center for Intelligent Media Studies. Her research focuses on the role of information and communication technologies in society across cultural, political, and economic dynamics. Specifically, she works in the area of human-media interactions, through which human behaviors are shaped and expressed at individual, group and societal levels, especially at the intersection of digital innovation and the social transformation of the world. Dr. Jiang has received several awards, including International Association for Media and Communication Research (IAMCR) Herbert Schiller Award, Communication Policy Research South (CPRsouth) Young Scholar Award, International Telecommunication Society Bell Canada Best Paper Award, and two university-level teaching awards. She teaches courses on new media and society, psychology of new media, and frontiers in cognitive communication. Dr. Jiang is the author of the book, Internet Addiction Among Cyberkids in China: Risk Factors and Intervention Strategies (Springer, 2019), and her publications appear in a number of international journals, inIcluding Journal of Computer-Mediated Communication, Social Science Computer Review, Internet Research, Games and Culture, Mass Communication and Society, The Lancet Public Health, Globalization and Health, Health Communication, Cyberpsychology Behavior and Social Networking, and Journal of Behavioral Addictions. Based on empirical research, she has pursued translating academic research into policy impacts by working with policy makers from Cyberspace Administration, Community and Youth, and Disabled Persons’Federation as well as policy officers from media entities to provide evidence-based policy making. Dr. Jiang also serves as Associate Editor of the SSCI-indexed journal Technology in Society, which is an international journal devoted to the global discourse at the intersection of technological change and the social, economic, business and philosophical transformation of the world so as to enable decision-makers to thoughtfully and intentionally engage in the decisions that shape the dynamic.
清华大学长聘副教授，应急管理研究基地副主任、行为与大数据实验室执行主任。2005年开始在危机与应急管理及公共组织等领域开展研究，已发表多篇中英文期刊文章，出版英文专著Managing Uncertainty in Crisis。主持国家自科基金重点项目、面上项目和新冠疫情专项项目，教育部人文社科青年项目，北京市教育科学重点项目，应急管理部、中国地震局以及北京市地震局等政府部门委托科研项目。同时担任<Journal of Contingencies and Crisis Management>期刊副主编，<Disasters>、<International Journal of Public Sector Management>、<Risk, Hazards & Crisis in Public Policy>、<Journal of Risk Analysis and Crisis Response>、《风险灾害危机研究》、《江南大学学报（人文社科版）》等期刊编委，以及中国应急管理学会理事、中国行政管理学会青年理事、中国职业安全健康协会职业心理健康专委会副主任委员、公共安全科学技术学会应急管理专委会秘书长、中国医学救援协会公共卫生分会常务理事、多个省市应急管理专家组成员等社会兼职。也是“中国应急管理50人论坛-青年论坛”及暑期研讨班联合发起人。曾获国家级某人才计划青年学者（2020）、第8届高校科研优秀成果奖（人文社科）青年成果奖、北京市应急管理领域青年学科带头人、荷兰/比利时公管最优博士论文提名奖、仲英青年学者等奖项。入选英国埃塞克斯大学联合国教科文组织访问研究员。目前主要研究兴趣包括危机研判（战略层与操作层）、视频分析方法等。
Xiaoli Lu (PhD, Utrecht University) is Tenured Associate Professor at School of Public Policy and Management,Tsinghua University, where he also serves as Associate Director of Center for Crisis Management Research, and Executive Director of the Behavior and Data Science Lab. Lu has published widely on topics of crisis and disaster management, and organizational issues. His recent book is Managing Uncertainty in Crisis. He is the Priciple Investigator (PI) of several projects funded by the National Science Foundation of China, Ministry of Education, Ministry of Science and Technology, Ministry of Emergency Management, China Earthquake Administration, Beijing Social Science Foundation and Beijing Earthquake Administration. He is the associate editor of the Journal of Contingencies and Crisis Management, and serves on the editorial boards of six journals, including Disasters, International Journal of Public Sector Management, Risk, Hazards & Crisis in Public Policy, Journal of Risk Analysis and Crisis Response, Journal of Jiangnan University (Humanities & Social Sciences Edition, in Chinese) and Journal of Risk, Disaster & Crisis Research (in Chinese), and the boards of two societies, including the China Society of Emergency Management, and the Chinese Public Administration Society. He is the co-founders of the Youth Sub-forum and Summer School affiliated to the Forum of Fifty on Emergency Management. He has been bestowed with several notable honors including the National Scholars Grant Program (2020), the Beijing Outstanding Talent Training Program (Youth Talent), the recognition as a Youth Academic Leader in the Emergency Management Research Area in Beijing, and the Tang Scholars Award. His works have been widely recognized, earning him awards such as the 8th Science Research Famous Achievement Award in Higher Institution, and the Nominee for the 2014 Dutch/Flemish Van Poelje Prize for Best Doctoral Dissertation in Public Administration. He was also a visiting fellow at Harvard Kennedy School and a UNESCO Visiting Fellow at the University of Essex. Lu's current research interests include sensemaking of bureaucrats at both strategic and operational levels, video methods in organizational analysis, and field experiments in governmental settings.
山东大学政治学与公共管理学院教授、博士生导师，山东大学MPA中心副主任。2010年获哈尔滨工业大学管理学博士学位，2017年入选大连理工大学“星海优青”，2019年入选山东大学“齐鲁青年学者”。研究方向为应急管理、公共安全、基础设施管理与政策。主持完成纵向科研项目10余项（其中国家级项目3项、教育部项目3项）。出版学术《关键基础设施网间脆弱性分析与保护》，国家十一五规划教材《管理科学研究方法》，在《Climate Policy》《Policy and Society》《Sustainable Development》《中国行政管理》《中国软科学》等国内外高水平学术期刊发表论文50余篇。
Yongchi Ma is a professor and doctoral supervisor of the School of Political Science and Public Administration of Shandong University, where he also serves as deputy director of the MPA Center. He received his PhD in Management from Harbin Institute of Technology in 2010. He was awarded several notable honors, such as the “Sea-sky Excellent Youth Program” by Dalian University of Technology in 2017, the “Qilu Excellent Young Scholar” by Shandong University in 2019. His research interests include emergency management, public safety, infrastructure management and policy. He has presided over more than 10 longitudinal research projects (including 3 national projects and 3 projects of the Ministry of Education of China). He has published academic books “Analysis and Protection of Critical Infrastructure Network Vulnerability”, the national 11th Five-Year Plan textbook “Management Research Methods”. In the last few years, he has published more than 50 papers in high-level academic journals at home and abroad, such as Climate Policy, Policy and Society, Sustainable Development, Chinese Public Administration (in Chinese), and Chinese Soft Science (in Chinese).
Jianing Mi is a distinguished professor at the School of Management, Harbin Institute of Technology. He is the Chief Editor for the Journal of Public Administration. As the recipient of the National Philosophy and Social Science Library Award in 2023, a lead expert in the Heilongjiang Tou Yan Program, he also serves on the National MPA Education Steering Committee, the Expert Team of the National Data and Governance Alliance, and the Major Expert Team of the Ministry of Science and Technology's Artificial Intelligence Social Experiment. He is also a member of the Guangdong Digital Government Standardization Committee. His research predominantly focuses on aspects of digital government, governance, and digital transformation at the local government level, and emergency management.
Shengfa Miao is associate professor of software engineering at Yunnan University, and advanced consultant at Fengtu Technology Company. His research interest lies in Intelligent Risk Control, Structural Health Monitoring and Digital Twin. He has some work experience in both academic and industrial fields. He was a data scientist at Vodafone in the Netherlands, worked on predictive maintenance of wifi network, tracking wifi device defects with machine learning methods. He also looked into human consumption behavior, and built models to predict customer retention. He worked three years in Shunfeng Express as lead data scientist. During this period, he created a logistics digital twin platform with billions of datasets, mapping logistics business process to the digital word, looking into individual behavior and group behavior, and detecting the internal relationships of different entities. Based on the platform, he further employed a range of techniques, such as big data, deep learning, natural language processing(NLP) and knowledge graph, designing a number of risk control products for governments and companies, dealing with information security, public security and classical crime cases. He also looks into criminal behaviors with data of multiple sources, covering various types of data, such as video, texts and numbers.
Currently, he is the Principal Investigator (PI) of an intelligent logistics project, which aims to build an intelligent logistics brain, and an intelligent police project, which employs NLP, knowledge graph and Large Language Model (LLM) techniques to detect potential risks.
清华大学工业工程系长聘副教授。研究方向为决策分析、风险分析、群决策和数据驱动的行为建模，致力于为社会提供应对风险、不确定性和价值权衡挑战的解决方案。担任国际期刊Decision Analysis编委、Risk Analysis特刊编辑。主持或参与多项国家自然科学基金、科技部重点研发计划项目，研究成果发表于领域旗舰期刊Operations Research、Decision Analysis、Risk Analysis、IISE Transactions等，应用于应急管理、复杂产品研发、供应链管理、航空风险评估与管理等领域。
Wang Chen is an associate professor at Department of Industrial Engineering, Tsinghua University. Her research focuses on decision-making analysis, risk analysis, group decision-making, and data-driven behavioral modeling. Her work aims to provide practical solutions for challenges posed by risk, uncertainty, and value trade-offs. She serves on the editorial board of the leading journal, Decision Analysis, and is an editor of special issues of Risk Analysis. She has been Principle Investigators and participants of multiple projects funded by the National Natural Science Foundation and the Key R&D Program of the Ministry of Science and Technology. Her research have been published in leading journals such as Operations Research, Decision Analysis, Risk Analysis, and IISE Transactions, and have been applied in various fields like emergency management, complex product development, supply chain management, and aviation risk assessment and management.
哈尔滨工业大学计算学部长聘教授、博士生导师、计算机科学与工程系主任、海量数据计算研究中心主任、数据科学与大数据技术专业负责人，美国加州大学欧文分校博士后，微软亚洲研究院铸星计划访问学者，青年龙江学者，黑龙江省教学名师。其研究方向为大数据治理、大数据管理与分析、数据库系统等。在VLDB, SIGMOD等国内外重要会议和期刊发表学术论文300余篇，出版学术专著四本，其论文被SCI收录百余次，他引4000余次，授权发明专利35项。获得微软学者、中国优秀数据库工程师、IBM博士英才等称号，获得黑龙江省自然科学一等奖和教育部高等学校科技进步一等奖各一项，获黑龙江省青年科技奖、宝钢优秀教师奖、CSC-IBM奖教金。先后主持国家自然科学基金重点项目、国家支撑计划课题、国家博士后特别资助等10余个项目。中国计算机学会杰出会员，ACM SIGMOD中国秘书长、教育部高等学校计算机类专业教学指导委员会计算机系统专家委员会委员、中国数据库专业委员会常务委员、黑龙江省数据科学与大数据技术专业委员会主任委员、中国大数据专家委员会委员、哈尔滨工业大学计算学部校友会秘书长、ACM数据科学学科标准编写组专家、黑龙江省“头雁团队”成员。曾任哈尔滨工业大学英才学院副院长和中国计算机学会哈尔滨分部主席。个人主页:homepage.hit.edu.cn/wang
Hongzhi Wang, Professor, PHD supervisor, the head of massive data computing center, the secretary general of ACM SIGMOD China, outstanding CCF member, IEEE Senior member, a standing committee member CCF databases and a member of CCF big data committee. Research Fields include big data management and analysis, database systems, knowledge engineering and data quality. He was “starring track” visiting professor at MSRA and postdoctoral fellow at University of California, Irvine. Prof. Wang has been PI for more than 10 national or international projects including NSFC key project, NSFC projects and National Technical support project, and co-PI for more than 10 national projects include 973 project, 863 project and NSFC key projects. He also serves as a member of ACM Data Science Task Force. He has won First natural science prize of Heilongjiang Province, MOE technological First award, Microsoft Fellowship, IBM PHD Fellowship and Chinese excellent database engineer. His publications include over 300 papers in the journals and conferences such as VLDB Journal, IEEE TKDE, VLDB, SIGMOD, ICDE and SIGIR, 6 books and 6 book chapters. His PHD thesis was elected to be outstanding PHD dissertation of CCF and Harbin Institute of Technology. He severs as the reviewer of more than 20 international journal including VLDB Journal, IEEE TKDE, and PC members of over 50 international conferences including SIGMOD, VLDB, KDD, ICML, NeurpIS, ICDE, etc. His papers were cited more than 4000 times. His personal website is http://homepage.hit.edu.cn/wang.
博士，湖南大学公共管理学院公共健康与社会保障研究所副教授。2018年毕业于美国加州大学洛杉矶分校（UCLA），获社会学博士学位。她曾任荷兰马克思普朗克心理语言学研究所访问学者， UCLA公共卫生学院研究助理。她的研究兴趣主要包括医疗社会学、会话分析、社会互动、公共卫生。近期，她的工作致力于融合社会学、医学、自然语言处理的交叉学科研究。她的研究成果发表于多个学科的高质量期刊，包括社会学领域Social Science & Medicine, Sociology of Health & Illness, 语言学领域《现代外语》、《语言战略研究》，医学领域Antibiotics,《中华医学遗传学杂志》。她的工作也被包括ACL和LREC的自然语言处理高水平国际会议接收并做会议报告。此外，她主持并参与多项科研项目，包括国家社科基金、教育部人文社科基金资助项目，及腾讯人工智能实验室、华大基因资助项目。
Dr. Nan Christine Wang, is an associate professor at School of Public Administration, Hunan University. She received her PhD in sociology from the University of California, Los Angeles (UCLA) in 2018. She was a visiting scholar at Max Planck Institute for Psycholinguistics, and an assistant researcher at UCLA Fielding School of Public Health. Her research interests include medical sociology, conversation analysis, social interaction, and public health.
Currently, she primarily focuses on interdisciplinary research that aims to integrate sociology, medicine, and natural language processing. Her research has been published in leading sociological journals, including Social Science & Medicine and Sociology of Health & Illness; Modern Foreign Languages and Chinese Journal of Language & Policy in the field of linguistics, and Antibiotics and Chinese Journal of Medical Genetics in the field of medicine. In addition, her work has been accepted and presented at prominent NLP conferences, including ACL (International Conference on Computational Linguistics) and LREC (International Conference on Language Resources & Evaluation). She has served as a Principal Investigator (PI), Co-PI, and participant in several research grants sponsored by the Ministry of Education of China, Tencent AI Lab, and BGI China.
清华大学公共管理学院教授。主要从事电子政务与网络治理、公共大数据与政策信息学、创新2.0与智慧城市发展等方面研究；主持国家自然科学基金、北京市社会科学基金、北京市哲学社会科学规划、城市中国计划等项目，参与国家自然科学基金重大研究计划、重大项目及国家社会科学基金重大项目研究，入选北京市青年社科人才资助（2015）；在《城市发展研究》《公共管理学报》《管理科学学报》《社会学研究》《系统工程理论与实践》《中国软科学》《中国行政管理》和Computer in Human Behavior、Electronic Commerce Research、Government Information Quarterly、Information & Management、Information Processing & Management、Information Systems Frontiers、Journal of Global Information Management、Online Information Review等中英文重要期刊及ASPA、ICIS、HICSS、PACIS、UAA等国际学术会议上发表论文50余篇，出版中、英文学术专著各1部。
Nan Zhang is a professor at School of Public Policy and Management, Tsinghua University. His scholarly interests include E-government and network governance, public data science and policy informatics Innovation 2.0 and smart city development. He is the Principal Investigator (PI) of several national and municipal projects, including the National Natural Science Foundation of China and the Beijing Social Science Foundation. He has also participated in major projects funded by the National Natural Science Foundation and the National Social Science Foundation. He received the Beijing Youth Social Science Talent Award in 2015. Moreover, he has published over 50 papers in both Chinese and English journals such as Urban Studies, Journal of Public Management, Journal of Management Science and Engineering, Sociological Studies, Systems Engineering-Theory and Practice, China Soft Science Magazin, China Public Administration, Computer in Human Behavior, Electronic Commerce Research, Government Information Quarterly, Information & Management, Information Processing & Management, Information Systems Frontiers, Journal of Global Information Management, and Online Information Review. His work has been presented at various prestigious international academic conferences, including ASPA, ICIS, HICSS, PACIS, and UAA. He has also authored academic monographs in both Chinese and English.
清华大学公共管理学院行为与大数据实验室(英文名称：“Behavior and Data Science Lab, School of Public Policy and Mangement, Tsinghua University”，简称“BDS-SPPM-THU”)是清华大学公共管理学院于2017年成立的院级研究机构。实验室紧跟国际学术前沿，致力于把大数据技术和行为科学实证研究方法引入公共管理领域，实现公共管理研究的进一步数据化和科学化，推动公共管理与政策实验研究的未来发展，更好地服务于学科建设与发展的迫切要求，更好地服务于国家安全与稳定的战略需要。
Behavior and Data Science Lab, School of Public Policy and Mangement, Tsinghua University
Behavior and Data Science Lab, School of Public Policy and Management, Tsinghua University (shortened as BDS-SPPM-THU), is a school-level research institution established in 2017. To keeps up with the frontier of international academic advancements, the lab is devoted to integrating big data technology and empirical behavioral science research methods into the field of public management. This aims to further data-driven and scientific research in public management, promote future development in experimental research for public management and policy, and better serve urgent demands for disciplinary construction and development, as well as strategic necessities for national security and stability.
The Behavior and Data Science Lab has a dedicated experimental space, equipped with apparatus relevant to various fields such as psychology, cognitive neuroscience, and communication studies. It also houses a wealth of library resources related to emergency management, risk management, and crisis management. The lab possesses the necessary technical conditions for data collection and analysis, enabling the effective examination of emotional, physiological, and behavioral characteristics in various demographics. The integration of management science and psychological behavioral research allows the lab to conduct professional experiments such as scenario-based tests, multi-channel physiological tests, and brain function studies. These, in combination with professional scales and physiological data collection equipment, help gather and analyze psychological data to form psychological profiles at both group and individual levels, which then become the foundation for a variety of applications.
The Behavior and Data Science Lab maintains a high-level, forward-looking, and strategic developmental orientation. It conducts comprehensive, in-depth scientific research regarding the establishment of a psychological behavioral big data system. Specifically, it:
1. Carries out psychological empirical research on public management policy behavior and institutional behavior, data research on national and public security risk governance, and research models for the selection and training for core professional personnel.
2. Cultivates innovative talents in the intersection field of behavior and big data, forms an internationally-leading behavioral research team, and propels the development of the discipline of behavior and big data.
3. Actively apply for key scientific projects of the National Natural Science Foundation of China, the Social Science Foundation of China. It also undertakes specialized research projects commissioned by national ministries or related local entities.
4. Provides advanced training for talent in the fields of behavior and big data, while also delivering professional training in psychological big data to a range of staff nationwide, thereby significantly improving the comprehensive abilities, psychological professional knowledge, and application skills of professional personnel.
5. Offers high-level professional consulting services to government departments or related institutions.
清华大学计算社会科学与国家治理实验室(以下简称“实验室”，英文名称: “Laboratory of Computational Social Science and State Governance, Tsinghua University”，缩写为“LCG-THU”)，于2021年12月经教育部批准成为首批试点建设的哲学社会科学实验室。实验室是清华大学促进文科与理工学科交叉融合的综合性支撑平台与创新基地，挂靠校文科建设处。
Laboratory of Computational Social Science and State Governance, Tsinghua University
Laboratory of Computational Social Science and State Governance,Tsinghua University (LCG-THU) was established in December 2021 as a pilot initiative among the first wave of philosophy and social science labs sanctioned by the Ministry of Education. The lab is an innovative platform and comprehensive support base aimed at fostering interdisciplinary integration between humanities and sciences at Tsinghua University. It is administratively aligned with the Humanities Construction Office at the university.
The laboratory adheres to certain fundamental principles:
- Pursue the national strategic agenda
- Stay at the forefront of disciplinary advancements
- Facilitate the interweaving of humanities and sciences
- Foster innovative research paradigms
- Cultivate multi-disciplinary talent
The lab's vision is to be a national-level research and high-level talent training hub. The disciplines represented span public administration, political science, law, economics, journalism and communication, sociology, and others. These are integrated with resources from science and engineering disciplines such as computer science and technology, electronic science and technology, software engineering, and mathematics. It aims to play a leading role in the establishment of philosophy and social science laboratories under the Ministry of Education.
The lab serves several functional purposes:
- Building a foundational platform based on data integration, big data technology, and tools, which provides the essential data and critical infrastructure for interdisciplinary research across various disciplines.
- Creating an innovative platform for social science disciplines based on data-intensive research paradigms. This aims to promote the fusion of humanities and sciences, accelerating the construction and development of philosophy and social sciences.
- Constructing a governance simulation platform designed to address the demands of significant socio-economic scenarios. Utilizing digital technology, the lab embarks on innovative research initiatives, such as policy inference simulations and social experiments.
- Establishing an educational and experimental platform to nurture versatile talent crucial for national governance. The lab strives to develop a qualified teaching faculty, experimental teaching infrastructure, and a comprehensive curriculum system.
Key Project of National Natural Science Foundation: Exploring the Mechanism of Joint Sensemaking and Decision-making in Major Emergencies (72134003)
The response to COVID-19 pandemic and other major emergencies in China has demonstrated challenges of joint sensemaking and decision-making in the current emergency management system, including a failure of collective sensemaking among various departments, a lack of institutional design for synthesizing diversified advice from experts, and the slow organizing process in temporary incident commands. The current emergency management research failed to unpack the formation process of joint sensemaking and decision-making in governmental settings.
Therefore, this project aims to develop an evolutionary model of joint sensemaking and decision-making in major emergencies by integrating theoretical perspectives such as sensemaking and sensegiving, and test the model in typical empirical settings extracted from the Chinese emergency management practices, such as collective sensemaking along the hierarchy in the governmental Pishi system, a synthesis of distributed expertise in sensemaking, and fast coordination of temporary organizations. Based on the rare multimodal data collected in the incident command and simulation data collected in the exercise among senior executives, this project will continue work together with the incident command in D city and Party School of Central Committee of CPC (National Academy of Governance) for further data collection. This research will adopt multimodal data analysis methods to explore the determinants of collective sensemaking and decision-making behaviors. The research findings will be applied to future training of senior executives and the next generation of institutional design of incident commands.