ASA Program aims to discover, develop, and deploy new, more effective, and efficient ways of infusing systems science into policy and decision making for sustainable development.
Despite numerous success stories, many policies and decisions that currently aim to deal with global change are not sufficiently informed by cutting-edge science. Among the major barriers that prevent the effective input of science into policy are perceived shortfalls in agility, realism, and relevance of the current generation of methods and models from the standpoint of end users. To address these barriers, ASA strives to advance agile, realistic, and relevant systems analytical tools and methods, and facilitate a shared understanding of the capabilities and limits of these tools and methods with end users. Consequently, ASA’s efforts span the full range, from advancing research methods and tools of systems analysis to innovating at the interface between policy- and decision making, as well as with society at large.
ASA Program’s major objectives are:
- To innovate approaches and tools to analyze increasingly systemic, social-ecological risks and support decisions aimed at enhancing resilience and facilitating sustainability transitions and transformations.
- To further the capacity of agile, on-demand systems analysis underpinned by a suite of modeling frameworks of appropriate complexity.
- To mobilize multiple sources of data and the power of data science to diagnose and identify solutions to reduce vulnerabilities and risks.
- To advance feasible and effective ways of engagement with policymakers, the private sector, and citizens.
- To enhance trust and shared understanding of systems analysis methods and tools, in particular, through open science.
Projects
Staff
News
![A lone figure stands atop a mountain peak, gazing out toward a horizon filled with the vibrant hues of dawn](/sites/default/files/styles/thumbnail/public/2024-07/dreamstime_m_317176076.jpg?itok=MyJPSd_H)
26 July 2024
Navigating new horizons to protect human and planetary health
![AI generated aerial view of a vast boreal forest](/sites/default/files/styles/thumbnail/public/2024-07/dreamstime_m_291091814.jpg?itok=_gsPzOVZ)
17 July 2024
Forests endure as carbon sink despite regional pressures
![Biodiversity Monitoring Europe](/sites/default/files/styles/thumbnail/public/2024-07/Conservation%20Letters%20Image.jpg?itok=-X3kVwIB)
01 July 2024
What do we need for better biodiversity monitoring in Europe?
Events
Potsdam Institute for Climate Impact Research (PIK) & Online
German IIASA Networking Event: "Systems analysis for a sustainable and peaceful future"
Online and Austrian Academy of Sciences (Doktor-Ignaz-Seipel-Platz 2, Vienna)
Human Agency to Navigate the Anthropocene
Focus
![Local people working in their field, near Lamin village, Gambia, West Africa](/sites/default/files/styles/thumbnail/public/2024-07/dreamstime_m_276452896.jpg?itok=g0v0JE50)
08 July 2024
Future food demand in The Gambia: can increased crop productivity and climate adaptation close the supply–demand gap?
The Gambia faces significant food availability issues due to low agricultural productivity. IIASA researchers and colleagues used the FABLE Calculator to explore actions to reduce the food supply-demand gap by 2050. The results, published in Food Security, reveal that current cropland will not meet food demand by 2050.
27 June 2024
RESIST
![earth](/sites/default/files/styles/thumbnail/public/2024-06/dreamstime_xxl_314138112.jpg?itok=uStzOAa1)
Publications
Feichtinger, G. & Wrzaczek, S. (2024). The optimal momentum of population growth and decline. Theoretical Population Biology 155 51-66. 10.1016/j.tpb.2023.12.002. Barthelme, P., Darbyshire, E., Spracklen, D.V., & Watmough, G. (2024). Detecting Vietnam War bomb craters in declassified historical KH-9 satellite imagery. Science of Remote Sensing 10 e100143. 10.1016/j.srs.2024.100143. Erokhin, D. & Zagler, M. (2024). Who will sign a Double Tax Treaty next? A prediction based on economic determinants and machine learning algorithms. Economic Modelling 139 e106819. 10.1016/j.econmod.2024.106819. Pashanejad Silab, E., Kharrazi, A. , Araujo Gutierrez, Z., Robinson, B., Fath, B. , & Parrott, L. (2024). A functional connectivity approach for exploring interactions of multiple ecosystem services in the context of agricultural landscapes in the Canadian prairies. Ecosystem Services 68 e101639. 10.1016/j.ecoser.2024.101639.