From July 04 to 06, 2023, the International Conference on Applied Data Science hosted by Fudan Institute for Advanced Study in Social Sciences (Fudan IAS) was held at the Center for American Studies of Fudan University.
The conference attracted more than 80 scholars from 11 countries and regions, including China, the US, Canada, the UK, Hong Kong, etc., and more than 20 scholars chose to participate online. A total of 59 reports were presented in real time during the six sessions over three days, including 15 regular presentations and 44 speed talks. There were also another 10 video presentations shown to the participants.
At the beginning of the conference, Prof. Sujian Guo, Dean and Distinguished Professor of Fudan IAS, delivered an opening speech. In the opening remarks, Prof. Guo particularly emphasized the significance of the application of data science in various disciplines, especially its deep integration with social science research. He pointed out that in this data-driven era, data science has permeated every aspect of our lives, and its the application in various fields. In addition to the traditional data application fields such as medicine, engineering, and economics, the integration of data science with other disciplinary fields of social sciences is also of far-reaching significance. Prof. Guo stated that social sciences are concerned with the patterns, regularities, and laws of human behavior and society, while data science provides us with a new perspective and tools. For example, in sociological research, we can not only predict social trends more accurately, but also dig deeper into the behavioral patterns of the population through big data analysis, thus providing more accurate data support for policy making. Finally, Prof. Guo concluded that through this international conference, we seek to strengthen international academic exchanges, and improve our academic influence and status of applied data science at home and abroad.
Prof. Zhiyong Zhang, President of International Society for Data Science and Analytics and Professor of the Department of Psychology, University of Notre Dame, then delivered his speech.
Prof. Zhang firstly expressed his gratitude to all participants for their submissions and support, and also thanked Fudan IAS for the organization of the conference. He pointed out that the conference is of great significance in promoting academic research and technology development of data science. He said that it is an event to display high-end academic achievements, and participants' research achievements and innovative technologies of data science will be presented later during the conference; it is an event for academic cooperation and exchange, which provides a valuable platform for experts and scholars in this field to share their experiences and insights, and establish cooperation; it is an event for new technology learning, where participants can learn the latest data analysis methods to improve their research ability and level.
The conference reports then started, with four regular reports and three speed talks in the morning session on July 4th:
|
Reporter |
University/Institute |
Title |
Remark |
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Kit-Tai HAU |
The Chinese University of Hongkong; HK, China |
Large-Scale International Education Surveys: Analyses of Slopes Can be More Interesting Than Comparisons of Means |
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Liang CAI |
University of Notre Dame; US |
Data of Narrative and Narrative of Data: How Long-distant Reading can Help Reexamine Early Imperial China |
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Lijuan Wang |
University of Notre Dame; US |
Modeling Intraindividual Variability as a Predictor with Longitudinal Data: Methods and Evaluations |
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Xiaolan Liao |
The University of Oklahoma Health Sciences Center; US |
Using Baseline Case Characteristics to Predict Successful Treatment Completion |
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Yifan Wang |
South China Normal University; CN |
A 2-stage Latent-standardization Method in Second-order Latent Growth Modeling |
Speed talk |
|
Laura Lu |
University of Georgia; US |
PCA, FA, LCA, LPA, LDA, Which Model is the Best Choice for your Data? |
Speed talk |
|
Sijing Shao |
University of Notre Dame; US |
A Comparison of Mathematical and Statistical Modeling with Longitudinal Data |
Speed talk |
The afternoon session on July 4 was hosted by Prof. Jiashan Tang, Dean of the College of Science, Nanjing University of Posts and Telecommunications. There were 3 regular presentations and 10 speed talks in the afternoon session:
|
Reporter |
University/Institute |
Title |
Remark |
|
Jun Li |
University of Notre Dame; US |
Using Response Time for Compromised Item Detection |
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Xuekui Zhang |
University of Victoria; CA |
scAnnotate: an Automated Cell Type Annotation Tool for Single-cell RNA-sequencing Data |
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Yanran Chen |
University of Notre Dame; US |
Factors Affecting Reading Growth in Language Minority Learners |
Speed talk |
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Pujue Wang |
Beijing Normal University; CN |
Automated Evaluation and Measurement Model for the Effectiveness of State Transitions in Problem-solving Tasks |
Speed talk |
|
Qingshan Liu |
Beijing Normal University; CN |
Fit Multilevel Differential Equation Models to Intensive Longitudinal Data Using Numerical Optimization |
Speed talk |
|
Minglan Li |
Beijing Normal University; CN |
A Hybrid Method: Solve the Impact of Variable Ordering in Bayesian Network Structure Learning |
Speed talk |
|
Xun Zhu |
East China Normal University; CN |
Assessing Relative Importance of Multiple Mediators |
Speed talk |
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Tao Liu |
Brown University; US |
Causal Effect Estimation and Transportation Using Modified Bootstrap |
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Ziqian Xu |
University of Notre Dame; US |
Integrating Structural Equation Modeling with Social Networks |
Speed talk |
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Leifeng Xiao |
The Chinese University of Hong Kong; HK, China |
Revisiting the Evaluation with Coefficient Alpha on Varying Length Scales and Sample Sizes |
Speed talk |
|
Yonglin Feng |
Sun Yat-sen University; China |
How does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Modeling |
Speed talk |
|
Xinyu Qiao |
Sun Yat-sen University; China |
The Influence of Prior Variance on the Detection of Local Dependence in Factor Analysis |
Speed talk |
|
Zhiming Lu |
Sun Yat-sen University; China |
Synthesizing Data from Pretest-Posttest-Control-Group Designs in Mediation Meta-Analysis |
Speed talk |
The morning session on July 5 was hosted by Prof. Ke-Hai Yuan, Department of Psychology, University of Notre Dame. There were two regular presentations and eight speed talks in the morning session.
|
Reporter |
University/Institute |
Title |
Remark |
|
Gong Chen |
Fudan University; CN |
Parasocial but Meaningful: Exposure to Foreign Cultures Encourages Pro-Outsider Attitudes |
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Pei Geng |
Illinois State University; US |
Functional-coefficient Autoregressive Models with Measurement Errors |
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Xiao Liu |
The University of Texas at Austin; US |
Detecting Mediation Effects with the Bayes Factor: Performance Evaluation and Tools for Sample Size Determination |
Speed talk |
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Yang Liu |
Rutgers University-New Brunswick; US |
Construct Different Uncertainty Indexes to Forecast Macroeconomic Variables |
Speed talk |
|
Haiyan Liu |
UC Merced; US |
An Analysis of Emotion Contagion with Longitudinal Text Data |
Speed talk |
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Luyang Guo |
The Chinese University of Hong Kong; HK, CN |
Chinese Adolescents' Career Choice in Large-Scale International Studies: Trends and Methodologies |
Speed talk |
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Ang Xia |
Sun Yat-sen University; China |
A Psychometric Network Analysis of Adolescents’ Mental Health Status: Evidence for Key Features for Interventions |
Speed talk |
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Yue Zhou |
Sun Yat-sen University; China |
Communication Patterns of Adolescents’ Distress in Mother-Adolescent Dyads Predict Adolescents ‘Suicidal Ideation: Mediated by Adolescents’ Internalizing and Externalizing Problems |
Speed talk |
|
Yujun Li |
Jiangxi Normal University; China |
Determinate the Number of Attributes Using Neural Network |
Speed talk |
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Lijin Zhang |
Stanford University; CN |
The InterModel Vigorish for Model Comparison in Confirmatory Factor Analysis with Binary Outcomes |
Speed talk |
The afternoon session on July 5 was hosted by Prof. Hongyun Liu from the Department of Psychology, Beijing Normal University, with three regular presentations and nine speed talks.
|
Reporter |
University/Institute |
Title |
Remark |
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Yue Xiao |
East China Normal University; CN |
Two-Parameter State Response Measurement Model for Process Data and Its Mixture Extension |
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Mingqing Zheng |
Ningxia University; CN |
How Does Self-Compassion Associate with Coping Self-Efficacy in Daily Life? A Dynamic Structural Equation Model Analysis |
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Xuzhu Zhou |
Ningxia University; CN |
A Tutorial in Longitudinal Network Analysis |
Speed talk |
|
Yukai Gan |
Beijing Normal University; CN |
Improvements to Regularization Differential Item Functioning Detection Methods: Combining Regularization with Traditional Methods |
Speed talk |
|
Zhilin Wan |
Sichuan Normal University; CN |
Evaluating the Threshold of Missingness Percentage in the Modeling of Intensive Longitudinal Data |
Speed talk |
|
Min Zeng |
University of Science and Technology of China; CN |
Estimating Average Treatment Effect in the Context of Outcome Dependent Sampling with Mismeasured Outcome |
Speed talk |
|
Peng Wang |
The Chinese University of Hong Kong; CN |
The Story After Mobility: Debates and Critiques on Methods for Estimating Social Mobility Effects |
Speed talk |
|
Xiaohui Luo |
Beijing Normal University; CN |
Assessing between- and within-person Reliabilities of Items and Scale for Daily Procrastination: A Multilevel and Dynamic Approach |
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Kentaro Hayashi |
University of Hawaii at Manoa; US |
On the Relationship between Factor Loadings and Component Loadings when Latent Traits and Specificities are Treated as Latent Factors |
Speed talk |
|
Shunsen Huang |
Beijing Normal University; CN |
Multiverse-style Analysis: Current Bibliometric Status and Tutorial |
Speed talk |
|
Saijun Zhao |
University of Science and Technology of China; CN |
L0-Regularized High-Dimensional Mediation Analysis |
Speed talk |
|
Fan Wu |
Beijing Normal University; CN |
Effects of BAS/BIS on Person-Situation Dynamics |
Speed talk |
The morning session on July 6 was hosted by Dr. Qu Wen, assistant professor and research fellow at Fudan IAS. There were 2 regular presentations and 11 speed talks.
|
Reporter |
University/Institute |
Title |
Remark |
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Di Jia |
University of Virginia; US |
Bayesian Compositional Data Analysis with Informative Priors |
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Hairong Song |
University of Oklahoma; US |
Impact of Temporal Order Selection on Clustering of Intensive Longitudinal Data Based on VAR Models |
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Jingchuan Wu |
Pennsylvania State University; US |
Small Data Approaches to Link Faster Time Scale Engagement Dynamics with Slower Time Scale Outcomes in Biobehavioral Interventions |
Speed talk |
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Min Shi |
The University of Texas at Dallas; US |
China’s COVID Lockdown Policy and Trade with U.S.: A Deep Learning Time Series Approach |
Speed talk |
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Yi Kuang |
Xiangtan University; CN |
Rationality Evaluation and Continuous Improvement of the Curriculum System Using Factor Analysis |
Speed talk |
|
Yongtian Cheng |
University of College London; GB |
Can Training Neural Network Model Solve the Replication Crisis? -A Monte Carlo Simulation Study with Ordinal Data |
Speed talk |
|
Hawjeng Chiou |
National Taiwan Normal University; TW, China |
Estimation of the Learning Trajectories with Observed and Latent Heterogeneity: Application of Growth Mixture Model with BCH Correction for Error |
Speed talk |
|
Xiaoyu Chen |
Beijing Normal University; CN |
The Dynamic Impact Between Intraindividual Perceived Stress and Perceptual Speed in Young and Old Individuals |
Speed talk |
|
Chang Xin |
Beijing Normal University; CN |
Using Semantic Items to Detect Careless Responding and Warning in Real-time and its Effect on Response Quality of the Questionnaires |
Speed talk |
|
Jieyuan Dong |
Beijing Normal University; CN |
When Predictors Sum to a Constant: Trade-off Effect Analysis Using a Regression Model Based on Isometric Log-ratio Transformation |
Speed talk |
|
Yilan Chen |
Beijing Normal University; CN |
A Two-Step Method based on lz* for Identifying Effortful Respondents |
Speed talk |
|
Md Hasinur Khan |
University of Dhaka; BD |
Implementation of Gradient Boosting for Survival Analysis with Competing Risk |
Speed talk |
|
Lingbo Tong |
University of Notre Dame; US |
Evaluation of the Bass-Ackward Method for Identifying the Number of Factors |
Speed talk |
Prof. Zhiyong Zhang from the University of Notre Dame moderated the afternoon session of July 6th, which included two regular reports and two speed talks:
|
Reporter |
University/Institute |
Title |
Remark |
|
Tian Hang |
Holly Futures, Co; CN |
University Major Decision and its Effect on Wage: Modeling Interaction between Major Specificity and Education-Job Relevance |
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Ke-Hai Yuan |
University of Notre Dame; US |
Modeling Data with Measurement Errors but without Predefined Metrics: Fact vs Fallacy |
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Wenzheng Lin |
Jiangxi Normal University; China |
The Re-individualization of the Internet: Aggressiveness in Social Media Posts before and after the Geo-IP Tag Policy |
Speed talk |
|
Zhiyong Zhang |
University of Notre Dame; US |
WebPower: A Tool for Statistical Power Analysis |
Speed talk |
There were Q&A and discussions sessions after the presentations, in which the scholars discussed the contents of the presentation in depth.