Winter Program 2014/2015
The International Advanced Studies in Demography (IDEM) program invites applications for the upcoming IDEM winter semester 2014/15 courses at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany. The winter program is aimed at developing high-level methodological skills and an understanding of the logical underpinning of demography. A strong background in statistics and mathematics is needed to get the most benefit from the courses.
The winter semester 2014-15 includes advanced, intensive courses on Agent-based Modeling and Simulation, Probabilistic Population Projections, Spatial Demography, and Integral Projection Models. Courses will be held from late October 2014 to the end of January 2015. Courses will run sequentially, not concurrently, to allow participants to focus on one topic at a time. Candidates may apply for one or several courses. Please note that the application instructions and deadlines differ for the various courses offered. That is, candidates must apply for each course separately.
Agent-based Modeling and Simulation (ABM-ABS) – 20 to 30 October 2014 (A. Klabunde, F. Willekens and others)
Agent-based or individual-based models describe how populations evolve, patterns (e.g. social networks) emerge, and collective features (e.g. norms) are established as outcomes of actions and interactions at the micro-level. Course 112 aims at introducing students to this field and offers four important skills: simulation skills, an agent-based modeling language, software skills (NetLogo), as well as strategies for designing agent-based models and implementing simulation experiments. This course is jointly organized by the Max Planck Institute for Demographic Research, the Vienna Institute of Demography and the University of Southampton.
Probabilistic Population Projections: Theory and Practice – 24 to 28 November 2014 (H. Sevcikova and A. Raftery)
The United Nation Population Division recently adopted a probabilistic approach to project fertility, mortality and population for all countries. In this approach, the total fertility rate and female and male life expectancy at birth are projected using Bayesian hierarchical models estimated via Markov Chain Monte Carlo. They are then combined with a cohort component model which yields probabilistic projection for any quantity of interest. The methodology is implemented in a suite of R packages. Course 115 will teach the theory and practice behind the UN probabilistic projections. By the end of the course, students will be able to generate probabilistic projections using their own data.
Spatial Demography – 5 to 16 January 2015 (S. Klüsener)
Course 156 will give an introduction to techniques and programs used in the field of Spatial Demography. It covers methods that are useful for social demographers as well as techniques that can be applied in biodemography. Geographic Information Systems (GIS) and spatial data files and the spatial libraries in the software package R will be introduced. Course participants will be getting an overview over tools of descriptive analysis and cartographic presentation as well as basic and advanced spatial modeling techniques.
Integral Projection Models: Construction, Analysis and Interpretation – 26 to 31 January 2015 (R. Salguero-Gómez and others)
Population modeling provides insights on ecological and evolutionary processes as diverse as the probability of a local extinction, the evolution of cellular maintenance, or the influence of clonality on senescence. With advances in computing power and theoretical developments, population models have evolved rapidly and new approaches such as Integral Projection Models (IPMs) have emerged. Course 184 will teach basic and advanced applications of IPMs. By the end of the workshop, attendees will be able to construct IPMs with their own data, and estimate a number of important population rates.