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 xsi:schemaLocation="urn:ISO:std:iso:17469:tech:xsd:PerformancePlanOrReport http://stratml.us/references/PerformancePlanOrReport20160216.xsd" Type="Strategic_Plan"><Name>About ISDSA</Name><Description/><OtherInformation/><StrategicPlanCore><Organization><Name>International Society for Data Science &amp; Analytics</Name><Acronym>ISDSA</Acronym><Identifier>_599f5050-860a-11ed-b344-64c30c83ea00</Identifier><Description>ISDSA is a professional association for those, researchers or practitioners, who are interested in data science and data analytics. The association is a non-profit organization under incorporation in the state of Indiana.</Description><Stakeholder StakeholderTypeType="Generic_Group"><Name>Data Scientists</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Generic_Group"><Name>ISDSA Founders</Name><Description>ISDSA was founded in May 2016 by Professors Zhiyong Zhang, Ke-Hai Yuan, and Lijuan Wang from the University of Notre Dame. Prof. Zhang is the current president of ISDSA.</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Zhiyong Zhang</Name><Description>Co-Founder &amp; President, ISDSA | ISDSA Executive Board Member | Chair, Membership and Outreach Committee | Professor, University of Notre Dame, USA
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Dr. Johnny Zhang is a Professor in Quantitative Psychology at the University of Notre Dame. He is the director of Lab for Big Data Methodology at Notre Dame. His research aims to develop better statistical methods and software in the areas of education, health, management and psychology. He has conducted research in the areas of Bayesian methods, Big data analysis, Structural equation modeling, Longitudinal data analysis, Mediation analysis, and Statistical computing and programming. His most recent research involves the development of new methods for social network and text analysis.
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Dr. Zhang is a fellow of American Psychological Association and an elected member of Society of Multivariate Experimental Psychology.
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Dr. Zhang is an Associate editor of Multivariate Behavioral Research. He also serves as a consulting editor for Psychological Methods and editorial member (Associate editor) of Neurocomputing.
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https://bigdatalab.nd.edu</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ke-Hai Yuan</Name><Description>Co-Founder, ISDSA | ISDSA Executive Board Member | Chair, Fellowship Committee | Professor, University of Notre Dame, USAProfessor, University of Notre Dame, USA
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Ke-Hai Yuan got his Bachelor and Master Degrees from the Department of Applied Mathematics at Beijing Institute of Technology, and PhD from the Department of Mathematics at UCLA. He is currently a Professor in the Department of Psychology at the University of Notre Dame. His research interests are in the areas of psychometrics and applied multivariate statistics. He has worked on mean comparison, regression, factor analysis; structural equation modeling; repeated measures and multilevel modeling; mixture model; item response theory; mediation and moderation analysis; meta analysis; bootstrap and cross-validation; robust methods; missing data; high-dimensional data; statistical computation; estimating equations; and asymptotics. He has served on the editorial boards of over 10 journals including as an Associate Editor for Psychological Methods and Journal of Multivariate Analysis.
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Ke-Hai's personal website: https://smrd.nd.edu/</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Lijuan Wang</Name><Description>Co-Founder, ISDSA</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Kentaro Hayashi</Name><Description>ISDSA Executive Board Member | Associate Professor, University of Hawai'i, Mānoa, USA</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ick Hoon Jin</Name><Description>ISDSA Executive Board Member | Assistant Professor, Yonsei University, Korea
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Dr. Jin is an assistant professor in statistics at Yonsei University. His main research areas are network data analysis (especially, applying network model to analyze binary response data), Bayesian computation (statistical inference for models with doubly-intractable normalizing constant), and Bayesian early-phase adaptive clinical trial.
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Webpage: https://yonsei.pure.elsevier.com/en/persons/ick-hoon-jin</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Hongyun Liu</Name><Description>ISDSA Executive Board Member | Professor, Beijing Normal University, China
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Dr. Hongyun Liu received her Ph.D. degree from the School of Psychology at Beijing Normal University. She is currently a professor in Faculty of Psychology at Beijing Normal University and has been working on the research of quantitative psychology for more than 15 years. Her main research areas are psychological statistics, the theory and applications of psychological and educational measurement, and quantitative research methods. Her research interests involve the Internet-based test development, the theory and application of educational and psychological assessment, data analysis methods in large-scale assessments, and longitudinal data analysis.</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Jiashan Tang</Name><Description>ISDSA Executive Board Member | Professor, Nanjing University of Posts and Telecommunications, China
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Jiashan Tang received his Bachelor degree from the Department of Mathematics, Anhui Normal University. He received his Master and Ph. D. degree from the Department of Mathematics, Beijing Normal University, where his supervisors are Prof. Zikun Wang ( Chinese Academician, elected in 1991 ) and Prof. Zhanbing Li. Since his graduation, he has been with Nanjing University of Posts and Telecommunications (NUPT). He had been visiting the School of Mathematics and Statistics of Carleton University as a Postdoctoral Fellow from March 2002 to September 2003, where his cooperative supervisors are Prof. Donald Andrew Dawson (Fellow of the American Mathematical Society, 2012; Fellow of the Royal Society, 2010; Fellow of the Royal Society of Canada, 1987) and Prof. Yiqiang Q. Zhao. During the periods from May to June in 2007, August and September in 2008 as well as July to September in 2016, he had been visiting Carleton University more than once and cooperating with Prof. Yiqiang Q. Zhao. Jiashan's research interests are in areas of probability theory, applied stochastic processes, queueing theory, signal and information processing, applied statistics, data science and etc.
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website: http://www.geocities.ws/tangjs</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Hawjeng Chiou</Name><Description>Membership and Outreach Committee | Professor, National Taiwan Normal University, Taiwan
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Dr. Choiu is a professor of the College of Management at National Taiwan Normal University. His major interest is in applied psychometrics, particularly for the applications of advanced modeling techniques, such as Structural Equation Modeling, Multilevel Linear Modeling, and Latent Class Modeling, with substantial areas such as Human Resource Management, Organizational Behavior, and Psychological Testing as well as Creativity research. Recently he is particularly interested in Bayesian Statistics and published a book in the area.
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Website: http://web.ntnu.edu.tw/~hawjeng/</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ge Jiang</Name><Description>Membership and Outreach Committee | Assistant Professor, University of Illinois at Urbana-Champaign, USA
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Dr. Ge (Gabriella) Jiang is an assistant professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign. Dr. Jiang's research centers around two areas: (1) structural equation modeling (SEM) and (2) statistical learning. In the area of SEM, she studies test statistics, fit indices, robust estimation methods, measurement invariance, and equivalence testing. In the area of statistical learning, she studies regularization methods (lasso, ridge, elastic net) in the contexts of clustering. Substantively, she is interested in developing software packages to facilitate the use of quantitative methods and applying them to educational and psychological research.
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Website: https://education.illinois.edu/faculty/ge-gabriella-jiang</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Laura Lu</Name><Description>Fellowship Committee | Associate Professor, University of Georgia, USA
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Dr. Lu has been rigorously trained as a quantitative methodologist. Before she joined the Quantitative Methodologies (QM) program at the University of Georgia (UGA), she obtained a PhD on Quantitative Psychology at the University of Notre Dame (ND) and a MA on Mathematics at Temple University. The training she received has provided her a solid grounding in mathematics, statistics, programming, and quantitative methodologies. In general, she has expertise in structural equation modeling (SEM), longitudinal data analysis, hierarchical linear modeling (HLM), and computational statistics such as Bayesian. During her ten years' professional career at UGA, her research has focused on developing innovative statistical approaches to address perennial challenges in statistical modeling such as mixture structure, reliabilities, model selection, missing data, outliers, topic modeling, and also promoting statistical models to applied research areas through collaborating, mentoring, and classroom teaching.
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Webpage: https://people.coe.uga.edu/zhenqiulaura-lu/</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Xin Tong</Name><Description>Fellowship Committee | Assistant Professor, University of Virginia, USA
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Dr. Xin (Cynthia) Tong is an assistant professor in the Department of Psychology at the University of Virginia. Methodologically, her research is focused on Bayesian methodology, statistical computing, robust and interpretable longitudinal studies, and missing data analysis. Substantively, she is interested in longitudinal development of cognitive ability and achievement skills, healthcare analytics, and sustainability research. Her most recent research is on Bayesian quantile longitudinal analysis, funded by NSF.
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Dr. Tong is a faculty fellow of the LIFE Academy.
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Webpage: https://psychology.as.virginia.edu/people/profile/xt8b|</Description></Stakeholder><Stakeholder StakeholderTypeType="Generic_Group"><Name>ISDSA Regional Divisions</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Sandra Ihemeje</Name><Description>President, Nigerian Division (ISDSA.nigeria@isdsa.org)</Description></Stakeholder></Organization><Vision><Description>Better analysis and understanding of data</Description><Identifier>_599f5136-860a-11ed-b344-64c30c83ea00</Identifier></Vision><Mission><Description>To provide a professional association for researchers or practitioners interested in data science and data analytics</Description><Identifier>_599f51f4-860a-11ed-b344-64c30c83ea00</Identifier></Mission><Value><Name>Data</Name><Description/></Value><Value><Name>Science</Name><Description/></Value><Value><Name>Analysis</Name><Description/></Value><Goal><Name>Communication</Name><Description>Provide a platform for communication about data science and analytics.</Description><Identifier>_599f52b2-860a-11ed-b344-64c30c83ea00</Identifier><SequenceIndicator>1</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_599f5366-860a-11ed-b344-64c30c83ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Journal</Name><Description>Publish the Journal of Behavioral Data Science.</Description><Identifier>_599f541a-860a-11ed-b344-64c30c83ea00</Identifier><SequenceIndicator>2</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name>Executive Editorial Board of Journal of Behavioral Data Science</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Zhiyong Zhang</Name><Description>Chair | Professor, University of Notre Dame, USA</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Denny Borsboom</Name><Description>Professor, University of Amsterdam, Netherlands</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Hawjeng Chiou</Name><Description>Professor, National Taiwan Normal University, Taiwan</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ick Hoon Jin</Name><Description>Assistant Professor, Yonsei University, Korea</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Hongyun Liu</Name><Description>Professor, Beijing Normal University, China</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Christof Schuster</Name><Description>Professor, Giessen University, Germany</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Jiashan Tang</Name><Description>Professor, Nanjing University of Posts and Telecommunications, China</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Satoshi Usami</Name><Description>Associate Professor, University of Tokyo, Japan</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ke-Hai Yuan</Name><Description>Professor, University of Notre Dame, USA</Description></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_599f54ce-860a-11ed-b344-64c30c83ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Conferences</Name><Description>Sponsor conferences on data science and analytics.</Description><Identifier>_599f558c-860a-11ed-b344-64c30c83ea00</Identifier><SequenceIndicator>3</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name>Annual Meeting Committee</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Jiashan Tang</Name><Description>Professor, Nanjing University of Posts and Telecommunications, China

</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ke-Hai Yuan</Name><Description>Professor, University of Notre Dame, USA</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Zhiyong Zhang</Name><Description>Professor, University of Notre Dame, USA</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Wen Qu</Name><Description>Fudan University, China</Description></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_599f564a-860a-11ed-b344-64c30c83ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal></StrategicPlanCore><AdministrativeInformation><StartDate>2016-05-31</StartDate><EndDate/><PublicationDate>2022-12-27</PublicationDate><Source>https://isdsa.org/about_isdsa</Source><Submitter><GivenName>Owen</GivenName><Surname>Ambur</Surname><PhoneNumber/><EmailAddress>Owen.Ambur@verizon.net</EmailAddress></Submitter></AdministrativeInformation></PerformancePlanOrReport>