For the 8th KOSTAT-UNFPA Summer Seminar on Population

Overview of the 8th KOSTAT-UNFPA Summer Seminar on Population

  • The 8th KOSTAT-UNFPA Summer Seminar on Population
    The KOSTAT-UNFPA Summer Seminar on Population has been serving as a forum for individuals and institutions concerning population-related issues in the Asia-Pacific region. These workshops are expected to provide an opportunity for experts on demography and government officials in charge of population censuses and statistics around the world to promote new methods for producing and analyzing population statistics and demography. Participants are encouraged to select one or more workshops among the four options.

    *Considering the COVID-19 situation, this year’s program will be conducted (1) online with English lectures for both international/domestic participants and (2) offline with Korean lectures for domestic participants only.
  • Date & Time
    July 26 – August 20, 2021
    • Workshop 1 : Jul. 26 – 30 (15:30-18:30, KST)
    • Workshop 2 : Aug. 2 – 6 (15:30-18:30, KST)
    • Workshop 3 : Aug. 9 – 13 (9:00-16:00, KST / Lunch break 12:00-13:00)
    • Workshop 4 : Aug. 16 – 20 (9:00-16:00, KST / Lunch break 12:00-13:00)
  • Venue
    • Workshop 1, 2: Online (Zoom)
    • Workshop 3, 4: Seoul (서울특별시 중구 세종대로 39 대한상공회의소 B2F 중회의실 A)
  • Participants requirements
    • Training and experience in a field relevant to the topic of the workshop(s)
    • Fluency in English (for Workshop 1, 2) or Korean (for Workshop 3, 4)
    • Real time online access via participants' own electronic devices (for Workshop 1, 2)
  • Topic & Contents
    • Workshop 1 (On-line/English) - R in Demography
    • Workshop 2 (On-line/English) - Migration Estimation and Visualization
    • Workshop 3 (Off-line/Korean) - Panel Data Analysis and Event History Analysis
    • Workshop 4 (Off-line/Korean) - Analyzing Demographic Data Using GIS
  • Tuition
    • Free of charge, will be supported by KOSTAT
    • Responsible for own electronic devices (for online workshops)
    • Responsible for own meals and lodging (for offline workshops)

    * Limited funding (lodging) for full-time graduate students is available
    (for offline workshops only for students residing in Korea)

  • Inquiry
    Summer Seminar on Population Secretariat
    • Email:
    • Tel: +82-(0)70-4466-8030, +82-(0)70-4466-9089

Workshop details

게시판 리스트
Workshop Contents Lecturer Workshop hours
Workshop 1
(Jul. 26 – Jul. 30)
<R in Demography>

This workshop introduces the R statistical language with an emphasis on wrangling, analyzing, and visualizing demographic data. This workshop emphasizes a reproducible approach to data analysis, using the R markdown system throughout the module. Concepts will be repeated through a series of worked examples and exercises. Some core concepts of demography will be indirectly taught via these examples. Upon completion, participants will have worked through a wide array of data processing operations and visualization options, and will have the tools to continue learning.

No prior experience with R is required. Familiarity with common forms of demographic data, other statistical packages (e.g. STATA, SPSS or others) and spreadsheets is assumed.

The workshop includes five sections:
  • 1. An introduction to R, Rstudio, and basic R markdown
  • 2. The tidy data approach, and basic data processing concepts for loading, aggregating, reshaping, and merging demographic data.
  • 3. Writing functions for advanced operations on data subsets
  • 4. Visualizing data using the ggplot2 approach
  • 5. Advanced data processing and visualization pipelines for reproducible analyses
Tim Riffe
(University of the Basque Country)
Workshop 2
(Aug. 2 - Aug. 6)
<Migration Estimation and Visualization>

Despite the increasing importance of migration to population change, migration data is often of poor quality or missing. Methods to estimate migration have been developed by demographers and alike to help address shortfalls and provide a platform to better understand migration patterns and trends.

This workshop explores methods for estimating and visualizing migration, and their implementation in R. Upon completion of the workshop, participants will be familiar with typical measures of migration, common estimation methods to overcome inadequate or missing migration data, and recently developed methods to visualize migration patterns.

Practical hands-on exercises will be emphasized throughout the workshop to build up participants’ experience. Some prior knowledge is required on how to handle and plot data using the tidyverse set of R packages.

  • Session 1: Migration measurement concepts and handling migration data in R
  • Session 2: Estimating migration summary indices
  • Session 3: Working with migration age schedules
  • Session 4: Describing and estimating origin-destination migration patterns
  • Session 5: Visualizing migration patterns
Guy Abel
(Shanghai University)
Workshop 3
(Aug. 9 – Aug. 13)
<Panel Data Analysis and Event History Analysis>

This workshop focuses on panel data analysis and event history analysis. We will start our workshop by reviewing key topics in panel data analysis, including fixed-effects models, random effects models, and growth curve models. Then we will cover event history analysis and methods to analyze “time to event” outcomes. Examples of these outcomes include demographic outcomes (e.g., mortality, first marriage, first birth, and marital status transitions), labor market outcomes (e.g., promotion, employment, and unemployment), adoptions of new policies, etc. This workshop will combine lectures and hands-on exercises. Participants are expected to learn practical applications of the models as well as theoretical issues in panel data analysis and event history analysis.

Specific topics include the following:
- Fixed-effects model
- Random effects model
- Growth curve model
- Life table analysis
- Logistic regression analysis
- Discrete-time event history analysis
- Continuous-time event history analysis

* Prerequisites
- Linear regression, logistic regression

* Preparation
- Laptop computer with STATA installed
- Own data set suitable for event history analysis (recommended)

  • Session 1: OLS regression, logistic regression, and panel data structure
  • Session 2: Fixed effects model
  • Session 3: Random effects model
  • Session 4: Growth curve model
  • Session 5: Understanding event-occurrence data
  • Session 6: Life tables
  • Session 7: Discrete-time hazard model, basic
  • Session 8: Discrete-time hazard model, extension
  • Session 9: Continuous-time hazard model
  • Session 10: Cox proportional hazards model
Kye Bongoh
(Kookmin Unversity)
Workshop 4
(Aug. 16 – Aug. 20)
<Analyzing Demographic Data Using GIS>

This workshop aims to provide an overview of GIS-based methods for visualizing and analyzing demographic data. In the first half of this five-day workshop, participants will learn the basic concepts of GIS, as well as its use for data integration, spatial queries, and thematic mapping. The second half of the workshop will focus on a more specific topic—population segregation. It will introduce key theories and methodologies in the field and explains how GIS can be used to facilitate segregation studies. Throughout the workshop, participants will become familiar with various tools for exploring demographic data from a spatial perspective.

The topics that will be covered in this workshop include:
  • 1) Fundamental concepts of GIS and spatial data
  • 2) Producing choropleth maps and dot maps, and building a map layout using QGIS
  • 3) Measuring spatial autocorrelation and hot spot analysis
  • 4) Spatial data analysis in R
  • 5) Theories on the causes and consequences of population segregation and its evaluation
Hands-on exercises are an important component of this workshop. Participants will use the open-source software QGIS and R for visualizing demographic data and measuring the levels of population segregation. This workshop is intended for social scientists with no prior experience of GIS.

  • Day 1: Types of spatial data (vector vs. raster); Attributes and metadata
  • Day 2: Map projection and coordinate systems; Various types of maps
  • Day 3: Spatial interpolation and kernel density maps; Spatial autocorrelation and hot spot analysis
  • Day 4: Introduction to R and sf
  • Day 5: Population segregation and measures of segregation
Hong Seong-Yun
(Kyung Hee University)

Workshop details

  • The 8th KOSTAT-UNFPA Summer Seminar on Population Brochure (ENG/영어) Download
  • The 8th KOSTAT-UNFPA Summer Seminar on Population Brochure (KOR/한국어) Download