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.

Models, tools, datasets

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Earth Observation & Citizen Science (Geo-Wiki)

Aerial of crops

Picture Pile

Projects

Space satellite orbiting the earth

Open-Earth-Monitor Cyberinfrastructure (OEMC)

INQUIMUS conference 2022

Transformations within Reach (TwR-II)

Staff

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Nikolay Khabarov

Senior Research Scholar (EM)

Ulf Dieckmann profile picture

Ulf Dieckmann

Principal Research Scholar (EM, SYRR, CAT)

Ulf Dieckmann profile picture

Ulf Dieckmann

Principal Research Scholar (EM, SYRR, CAT)

Maria Shchepashchenko profile picture

Maria Shchepashchenko

Researcher (NODES)

News

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14 February 2025

Strengthening citizen science and sustainability monitoring in Europe

Researchers from the IIASA Novel Data Ecosystems for Sustainability (NODES) Research Group are part of the newly launched RIECS-Concept (Towards A Pan-European Research Infrastructure for Excellent Citizen Science), a project designed to develop a conceptual framework for a pan-European citizen science research infrastructure. The initiative aims to enhance the role of citizen science in data collection, validation, and policy engagement, ensuring long-term sustainability and broader participation in scientific research across Europe.
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12 February 2025

The WorldCereal Reference Data Massive Open Online Course (MOOC) is available now!

WorldCereal is excited to introduce the very first WorldCereal Massive Open Online Course (MOOC) on Reference Data for Crop Type Mapping! This free course is the first in a three-part series designed to offer a deep dive into global cropland mapping and monitoring.
Rio de Janeiro skyline. Sunset over mountains in Rio de Janeiro

10 February 2025

Systems analysis to tackle the monopolistic power in the era of AI

Digital sector incumbents have established themselves in the artificial intelligence (AI) space through new forms of commercial partnerships. Now, antitrust authorities are raising concerns about such arrangements and the impact this will have on the future direction of AI. To discuss the latest developments, Elena Rovenskaya delivered a presentation on the adoption of systems analysis approaches to identify complex interactions between players in the digital economy.

Events

Focus

Abstract image depicting AI system analyzing vast amounts of social media data

18 November 2024

Leveraging social media intelligence for disaster risk management: a game-changer in real-time response

Social media intelligence mining is transforming disaster risk management. A new cutting-edge tool developed by IIASA researchers provides real-time insights from platforms like X and Google, enhancing rapid response during and after disasters, resource distribution, and effective crisis communication to better safeguard communities.

A big flood with trees and a rural African village flooded by dirty waters

13 November 2024

COP29: Loss and Damage funding has to be at core of new climate finance regime

The focus of the ongoing COP is to decide on a new finance regime. Major polluters will be asked to massively increase their financial contributions to developing nations. Researchers from IIASA and CMCC show that Loss and Damage needs of vulnerable countries range between roughly 130 and 940 billion Dollars in 2025 alone. On top of money for mitigation and adaptation.  

Publications