ASPAC2019: Applied Statistics and Policy Analysis Conference, 2019

    Press/Media: Press / Media

    Description

    Applied statistics and data science play a vital role in the analysis and evaluation of policies in various fields including social sciences, economics, health sciences, population studies etc. On the other hand, with society apparently expecting more and more from all three levels of government; it becomes increasingly important that both private and public policy should be based on reliable and up-to-date data that covers the important issues. This conference aims to promote research collaborations and exchange ideas between data scientists, applied statisticians and data modellers who will detail the latest innovations in research to gather and disseminate information from small to big data settings, and from policy analysts who will describe how they use existing information from increasing big data environments and indicate areas in which there need to be methodological and technological developments. Another aim is to establish connections between researchers at tertiary institutions and working in industry in Australia and overseas. This conference is organised by the Data Science Research Unit (DSRU) within the School of Computing and Mathematics at Charles Sturt University (CSU).

    This conference is sponsored by the Australian Government’s Department of Infrastructure, Regional Development and Cities and the School of Computing and Mathematics and the Faculty of Business, Justice and Behavioural Sciences at CSU.

    Topics of interest cover all aspects of statistics, data science and policy analysis methods. This may include, but it is not limited to:
    Applied statistics and Bayesian modelling
    Business statistics and forecasting
    Computational statistics
    Health statistics
    Multivariate statistics
    Sample surveys/methodology
    Small area estimation
    Social statistics
    Artificial intelligence
    Big data analytics
    Business analytics
    Data mining
    Data science
    Image processing
    Microdata analysis
    Microsimulation modelling
    Business policy analysis
    Natural resources management and ecological sustainability
    Public policy
    Policy analysis and evaluation
    Social capital, social inclusion and economic indices
    Socio-economic policy development - including the Aboriginal issues and policy research, etc.
    Geospatial and environmental modelling
    Agricultural modelling and policy

    Conference Web-Site: http://csusap.csu.edu.au/~azrahman/ASPAC2019/

    Period29 Apr 2019

    Media contributions

    1

    Media contributions

    • TitleASPAC2019: Applied Statistics and Policy Analysis Conference, 2019
      Degree of recognitionInternational
      Media name/outletScience-Community.org network
      Media typeWeb
      Country/TerritoryUnited States
      Date29/04/19
      DescriptionApplied statistics and data science play a vital role in the analysis and evaluation of policies in various fields including social sciences, economics, health sciences, population studies etc. On the other hand, with society apparently expecting more and more from all three levels of government; it becomes increasingly important that both private and public policy should be based on reliable and up-to-date data that covers the important issues. This conference aims to promote research collaborations and exchange ideas between data scientists, applied statisticians and data modellers who will detail the latest innovations in research to gather and disseminate information from small to big data settings, and from policy analysts who will describe how they use existing information from increasing big data environments and indicate areas in which there need to be methodological and technological developments. Another aim is to establish connections between researchers at tertiary institutions and working in industry in Australia and overseas. This conference is organised by the Data Science Research Unit (DSRU) within the School of Computing and Mathematics at Charles Sturt University (CSU).
      Producer/AuthorYaroslav Taranuschenko
      URLscience-community.org/en/node/202662
      PersonsAzizur Rahman

    Keywords

    • Data Science
    • Applied Statistics
    • Policy Analysis
    • Big Data
    • Modelling