ASA Connect

Dear Colleagues,

I am delighted to invite you to the 11th International Symposium of Official Statistics, Survey Methodology and Data Science hosted by the Statistics Research Institute, the state-run think tank of official statistics and survey science in Korea.  It is the virtual symposium to share and promote best practices of R & D in official statistics, data science applications in survey methodology, and evidence-based policymaking, together with data users and producers across continents.

You are encouraged to submit by July 9 an abstract for presentation in this international symposium of official statistics.

Symposium Information

• Topic: Data Innovation and the Leap of Official Statistics
• Dates: September 29-30, 2021
• Due:  July 9, 11:59 pm, EST
  

Submit abstracts here in this link by following instructions.
Topics for presentation

• Data Privacy and Security
  • - Case studies of homomorphic encription that can combine scattered data with the latest cryptographic technology with the highest level of security.
  • - The latest methods of statistical confidentiality for privacy and data utilization when linking administrative records, big data, and design-based survey data.
• Data Economy and Measurement
  • - Studies of data-driven economic ecosystem that has transformed a traditional economic structure of supplies and demands. 
  • - Measurement of data economy
• Questionnaire design with cognitive science
  • Theoretical and methodological studies of survey questionnaire design employing cognitive interviews; case studies of electronic survey questionnaire design advanced by eye-tracking computer devices
  • Studies of improving administrative record forms with cognitive methods
• Data Science & AI applications in official statistics
  • Studies of AI & data science to advance classification of official statistics and predictive modeling of economic and social changes
  • Case studies of machine learning and deep learning to transform traditional approaches to official statistics, such as editing, nonresponse adjustment, data privacy, and linking data from multiple sources.
• Data-based policymaking research
  • Evidence-based policymaking research in economic, social, and environmental subjects
    
• Other topics of official statistics, data science and survey methodology that demonstrate transdisciplinary merits in real-world applications in official statistics. 

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Asaph Chun
Statistics Research Institute | Statistics Korea
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