Dr. Marjolijn Haasnoot

Professor

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Biography

Marjolijn Haasnoot is an environmental scientist specialized in water management and climate adaptation, known for her work on integrated assessment modeling and decision-making under deep uncertainty. She developed the Dynamic Adaptive Policy Pathways (DAPP) method to support decision-making in uncertain conditions. Her recent research focuses on adaptation strategies for sea-level rise, particularly in deltas, and includes monitoring signal detection to implement and adjust adaptive plans effectively. Haasnoot has designed and led significant research into the impacts of accelerated sea-level rise in the Netherlands, which triggered the national Research Program on Sea Level Rise to help evaluate Dutch adaptation strategies. Her work assesses the societal impacts of climate change, including sea-level rise and socio-economic developments, while exploring alternative management options to develop robust adaptive plans. Haasnoot has collaborated with various countries worldwide, including the USA, New Zealand, UK, Bangladesh, Indonesia, Thailand, Viet Nam, Croatia, Cyprus, Romania, and Russia. She is affiliated with Deltares, where she leads a strategic research program focused on climate adaptation. Haasnoot was a lead author for the Sixth Assessment Report of the UN Intergovernmental Panel on Climate Change (IPCC), specifically in Working Group II, which covers Europe and cross-cutting themes related to cities and settlements. In March 2023, she was appointed as a member of the Scientific Climate Council of the Netherlands, an advisory body that provides solicited and unsolicited advice on climate policy to the government.

Research Interests

Requirements for Utrecht University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:93
Prerequisites
Bachelor's degree in Psychology or related field Advanced knowledge of research methods and statistics
Application Checklist
  • Transcript of records
  • Motivation letter
  • Two letters of recommendation
  • Curriculum Vitae
  • Proof of English proficiency
Specialization Notes

Department of Psychology