SAS24 - Modeling for Policy

Models have played a crucial role in the sciences since at least the 19th century. The development of information technology has significantly amplified their importance: computer models (in simulation and machine learning) have augmented mechanical and mathematical models.

Since the 1970s, however, computer models have not only been used to supplement and replace experiments and theories in the sciences but have also been employed in decision-making processes in political contexts. Computer models are influential in various areas such as labor market, school, and education policy, urban and transportation planning, as well as energy policy. The use of simulation models in climate research and climate policy has garnered significant public attention. Recently, the COVID-19 pandemic has introduced a multitude of new simulation models to the public, which aim to predict and evaluate the effectiveness of political measures in combating the pandemic.

We invite applications for participation in this conference, which will explore the multifaceted roles and impacts of modeling in policy-making. This event aims to bring together experts from diverse disciplines to discuss and analyze the methodologies, applications, and implications of using models in policy contexts.

The conference fee is 100€.

Registration

To register, visit: https://regi.hlrs.de/2024/sas/registration

Veranstaltungsort

HLRS, University of Stuttgart
Nobelstraße 19
70569 Stuttgart, Germany
Room 0.439 / Rühle Saal

Veranstaltungsbeginn

25. Nov 2024

Verstaltungsende

27. Nov 2024

Zurück zur Liste