Instructor: Guy Abel 📁
This course focuses on the use of building and fitting statistical models using R. Throughout the course we use demographic data sets from a number of countries around the world. In the first part of the course we review popular R packages for presenting exploratory data analyses. The second part of the course covers the Central Limit Theorem in the context of regression analysis. The third part of the course illustrates the Generalized Linear Model (GLM) framework, including standard linear regression, binomial logistic regression and Poisson count regression and their implementation in R. In the final part, multilevel/hierarchical models are discussed and fitted. Upon completion of this course students will be familiar with standard statistical modelling techniques for analysing data as well as displaying and interpreting results effectively.
📖Data Science for Social Science
Instructor: Guy Abel📁
This course focuses on the use of the R statistical language. Practical hands-on exercises will be emphasized throughout the course to build up participants R experience. No prior knowledge of R is necessary, although participants should be comfortable using computers to handle data sets in statistical software (such as SPSS or Stata) and spreadsheets (such as Excel). Upon completion of this course, students will be familiar with the R environment, its basic functions and some more advanced methods. We focus predominantly on the tidyverse suite of packages for importing data into R, manipulating data frames and different types of visualisations including creating maps and animations.
📖Spatial Analysis for Population Studies
Instructor: Emerson Baptista📁
This course provides an overview of spatial themes and techniques in demography. Examples will be drawn from many substantive areas of demography (e.g., mortality, fertility, urbanization, migration, poverty). Students will learn about spatial construction of place, basic mapping skills and spatial data creation and geoprocessing as well as statistical methods to explore and model spatially-referenced data to answer demographic questions. In the most advanced topics, students examine the special difficulties that spatial data may create for standard regression approaches and learn models and approaches for undertaking multivariate regression analysis in the presence of spatial heterogeneity and/or spatial dependence. Emphasis in the course is evenly split between learning how to make maps and a variety of spatial analyses.
Topics covered include thematic mapping, spatial autocorrelation, spatial cluster detection, and spatial point pattern analysis. An important aspect of the course is to gain expertise in the use of software for spatial statistical analysis, such as the ArcGIS, GWR4 and GeoDa software.
Instructor: Chen Chen📁
Is an aging population something to worry about? What are the effects of family-planning policies? Do migrants compete with locals for jobs? Many of today’s critical social issues are related to population size, structure, or composition, and where these issues occur can make the answers different. Population geographers study how location matters to demographic issues and processes. This course is an introduction to population geography. Major topics in this course include fertility, mortality, and migration, with a focus on how they differ across time and space. With respect to each of these topics, we will learn a set of tools for measuring and describing population processes, data, and population composition. We will also discuss how social issues are related to demography and population geography.
Three major sets of questions will be explored in this course:
What do we know about a population at certain time, in a particular place? (What data sources are available? How can the data be modeled? How can we interpret the data?)
What is the significance of population size, structure, composition, and change? How do these aspects of population affect the economy, society, and culture?
How do populations compare across different regions and what can we learn from the comparisons?
At the end of this course, students should be able to evaluate claims about population issues that occur in different socioeconomic contexts. You should also understand what population geographers do and how they conduct their research. You will also gain some insight into how population geography is relevant to other areas of social science.
📖Theories of Demography
Instructor: Nayoung Heo📁
This course focuses on exposing students to prominent and innovative demographic theories and concepts and their applications. There are no prerequisites for this course. Expected outcomes upon completion of this course are as follows. 1) Students feel comfortable with key demographic concepts and theories. 2) They understand the interdisciplinary nature of demography. 3) They can explain how study of population is crucial in explaining various social issues that we are facing now, such as low fertility and high old age dependency ratios. The course methods consist of traditional lecture, in-class discussion, writing assignments, student presentations, and development of a research proposal.
1. Poston, Jr, Dudley L., and Leon F. Bouvier. 2016. Population and Society: An Introduction to Demography. 2nd ed. Cambridge: Cambridge University Press
2. Joseph McFalls, Jr., 2007, 5th Edition. “Population: A Lively Introduction.” Population Bulletin, March, 3-29
📖Frontier Demographic Research: Socio-ecological Interaction in a Changing Climate
Instructor: Kakinuma Kaoru📁
Demographic perspective is getting more important in environmental science. Frontier demographic research that collaborates with environmental information are essential to develop sustainable societies. This course provides a comprehensive examination of the interrelations between society and ecology in a changing climate. It will help student understand how climate and environmental change affect human society. Particularly we will focus on the effect of climate change on demographic and social issues such as aging, gender inequality, migration and health. Students also can learn about methodologies of data analysis by using Python and R to integrate environmental datasets with demographic datasets.
Instructor: Samir KC📁
This course aims to introduce the concept of demography and its methods and techniques and to study population issues in the contemporary world by analyzing the past evolution and exploring scenarios for the future. In this hands-on programming course, participants will learn how to use basic and advanced spreadsheet techniques (in Excel and VBA) to present and analyze demographic data. Each topic is aimed to show how to apply conventional and advanced Excel techniques to solve typical tasks of demographic analysis. More specifically, students will embark on a journey to understand the evolution of population in a country of their choosing. We will then define future scenarios and project population into the future along the basic dimensions of age and sex. Once the model is ready, we will explore the policy implications of different assumptions.
There will be a frequent back and forth between the instructor explaining a new concept or method followed by the students implementing this method on their computers. Students will be provided with input data, but will also have to search for their own data on the internet and download it for their calculations. In addition to the regular active participation in class and in group discussions, students will have to deliver reports in which they demonstrate how they could apply the new methods to new data.
After completion of this course, students will be able to
apply different demographic techniques using Excel and Visual Basic
calculate and interpret life tables
perform demographic projections applying cohort-component methodology
learn how to work with and transform large demographic data sets
📖Demographic methods and techniques II
Instructor: Guillaume Marois📁
The course aims to provide knowledge and skills on advanced demographic methods for population estimates, analyses and forecasts. The course content focuses on methods for estimating or modeling demographic components from alternative/indirect sources, such as the own-children method for fertility rates, the multiple decrement life tables, the gravity models to estimate migration flow, the Rogers-Castro migration schedule, etc. At the end of each lesson, the professor shows how to implement demographic methods learned into a microsimulation framework, which provide basic skills to perform multidimensional population projection and simulation, while introducing some methods to forecast demographic components (extrapolation/interpolation, cohort development approach, etc.) and for validation/quality assessment. Most exercises are conducted with Statistical Analysis System (SAS OnDemand for Academics – Free edition) and Excel.
Students need to bring their own laptop in class with Excel (or equivalent). SAS OnDemand for Academics can be used online for free after subscription. The course is suitable for graduate students with background in basic demographic and statistical methods.
📖Population, Health, and Health Policy
Instructor: Jinjing Wu📁
(2 taught by Jiaying Zhao)
The purpose of this course is to allow students to engage in population health thinking. This course has epidemiology as its core and is integrated with theories of relevant social sciences. Students will learn about different epidemiological study designs, including ecological, cross-sectional and cohort studies. Students will also learn how to use epidemiological tools to measure population health and quantify the magnitude of an association between exposure and disease. Brief reviews of relevant statistical methods and their applications in epidemiologic research and interpretation of results will be covered. This course also allows students to have a reservoir of theoretical frameworks (e.g., socio-ecological, life course, network perspectives) from which to draw when formulating research questions. This course also addresses the dynamic processes of fertility, mortality and migration and examines how the interaction of these processes is related to population health.
📖Internal Migration and Urbanization
Instructor: Zhen Li📁
(2 taught by Zhu Yu)
Internal migration and urbanization are two related but different phenomenon. To fully understand them, a multi-disciplinary perspective is required, which includes sociology, economics, demography and geography. The purpose of this course is to provide students with a comprehensive picture of the theories, methods and empirical research with regards to internal migration and urbanization. Combining lectures, student presentations, class discussions and seminars, this course aims to engage actively with the students and train them to do quality research on their own.
Castles, S., Miller, M. J., & Ammendola, G. (2005). The age of migration: International population movements in the modern world. New York: Guilford Press.
Swanson, David A. and Jacob S. Siegel. 2004. The Methods and Materials of Demography. Academic Press. Chapter 19.