WE SEARCH FOR
The Complexity Science Hub Policy Workshop (Vienna, 4–5 May 2026) brings together policy-makers, established scholars, and complexity researchers to discuss how academic research can engage with and inform policy.
YOUR PROFILE
The workshop is designed for PhD students and early-career researchers who want to learn how policy actors work, what kinds of evidence they find useful, and how to build practical links between research and policy.
Space is limited, and we will aim for a balanced cohort across institutions and research interests.
WE OFFER
The Complexity Science Hub Policy Workshop will support PhD students and postdocs to:
- Develop a stronger understanding of how policymaking works, and how and where academic research can contribute.
- Learn how to connect their research with policymaking processes, and to policy reports.
- Build connections with other early-career researchers and with the policy community.
The Workshop is a
full-time commitment. Remote participation is not possible.
APPLICATION
Applications for the Complexity Science Hub Policy Workshop are
due 5 April 2026 (midnight Vienna local time).
Aplicants will submit: - curriculum vitae (cv) or resume – upload to "CV"
- response to the following question – upload to "Cover Letter"
- Why are you interested in attending? In 6–12 sentences, describe what you hope to learn from and/or contribute to the workshop, and how this connects to your research. Approximately one-third of the narrative should be devoted to describing your current research in plain language.
Please ensure that you precisely address the question according to the instructions provided. Do not submit other information or documents.
About us
The Complexity Science Hub (CSH) is Europe’s research center for the study of complex systems. We derive meaning from data from a range of disciplines – economics, medicine, ecology, and the social sciences – as a basis for actionable solutions for a better world. Established in 2015, we have grown to over 75 researchers, driven by the increasing demand to gain a genuine understanding of the networks that underlie society, from healthcare to supply chains. Through our complexity science approaches linking physics, mathematics, and computational modeling with data and network science, we develop the capacity to address today’s and tomorrow’s challenges.
