
Through its research, the MDM Group aims to advance demographic modeling methods to assess and forecast population dynamics with a focus on demographic and spatial heterogeneity under different socioeconomic scenarios at the global, national, and sub-national level.
The MDM Group’s research focus is at the core of the IIASA strategic plan in rigorously incorporating the human-centered system model into systems analysis by considering the feedback mechanisms between human and other social, economic, and natural systems. The group has a strong focus on population forecasting using a scenario-based approach allowing for aligning future demographic components with socioeconomic scenarios such as the Shared Socioeconomic Pathways (SSPs) originally developed for the climate change research community. Apart from updating global projections of population, human capital, and other relevant dimensions using scenarios, the group also carries out innovative, policy-relevant research at the local and regional level, for instance, assessing social vulnerability to COVID-19 at a small spatial scale.
Models, tools, datasets
Projects
Staff
News

04 October 2023
Migration Estimates, Scenarios and Policies: Three new QuantMig online tools

21 August 2023
Scenarios for proactive measures and inclusive policies on migration in Europe

05 July 2023
White Paper on Migration Uncertainty: Towards Foresight and Preparedness
Events
01 February 2023 Roma Tre University, Rome-Italy
Giornate di Studio sulla Popolazione - Population Days 2023
06 December 2023 Vienna, Austria
Wittgenstein Centre Conference 2023-Exploring Population Heterogeneities
Focus
28 November 2022
Standardizing migration data in Europe

11 July 2022
Fertile feedback

24 June 2020
The gender dimension of sustainable development

Publications
Lutz, W. & Pachauri, S. (2023). Systems Analysis for Sustainable Wellbeing. 50 years of IIASA research, 40 years after the Brundtland Commission, contributing to the post-2030 Global Agenda. IIASA Report. Laxenburg, Austria: International Institute for Applied Systems Analysis (IIASA) 10.5281/zenodo.8214208. Potančoková, M. , Marois, G. , & González-Leonardo, M. (2023). Discussion paper: Demographic and labour force implications of high immigration events scenarios. IIASA Report. Laxenburg: IIASA Potančoková, M. , Sadler, J., Bijak, J., González-Leonardo, M., & Soto-Nishimura, A. (2023). Documentation of QuantMig Web tools for Data and Simulations. QuantMig Project Deliverable D10.4. International Institute for Applied Systems Analysis González-Leonardo, M. & Potančoková, M. (2023). Technical Report : User Guide to Scenarios. QuantMig Project Deliverable D10.3. International Institute for Applied Systems Analysis Durowaa-Boateng, A., Yildiz, D. , & Goujon, A. (2023). A Bayesian model for the reconstruction of education- and age-specific fertility rates: An application to African and Latin American countries. IIASA Working Paper. Laxenburg, Austria: WP-23-007