Collaboration partners
Scientific departments & participating scientists

Climate science is a broad and diverse field of research. Similar to designers, climate scientists specialise in different themes and systems, and work with different methods, tools and models. Some scientists study distinct physical phenomena, such as ice sheet melting and the adaptation of ecosystem, while others develop meteorological models and future scenarios, others still research the financial systems around sustainable development and work at policy-level and contribute to the IPCC reports for example, others study the effects of specific societal transitions and behaviour change on the development of climate change. This variety of scales and systems addressed by climate researchers resonates with how designers can and do position themselves and their practice in relation to the existing societal structures. The collaborating scientists engaged within this project thus represent a variety of themes and methods.
With the open call for designers, we invite the applicants to indicate two preferences among the 5 scientific partners, supported by a motivation of their choice and an indication for how they envision the upcoming collaboration with a climate scientist from that department group/chair/institute. This preference will serve as a starting point for the matching process.

NIOZ

Department of Coastal Ecosystems

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Royal Netherlands Institute for Sea Research (NIOZ) is the national oceanographic institute and the Netherlands’ centre of expertise for ocean, sea and coast. NIOZ advances fundamental understanding of marine systems, the way they change, the role they play in climate and biodiversity, and how they may provide sustainable solutions to society in the future.
Evy Gobbens and Hailley Danielson-Owczynsky, PhD candidates at the department of Coastal Ecosystems will join the laboratory and will collaborate with designers. The Coastal Ecosystems department is focused on understanding how various levels of ecological organisation respond to environmental change through studies on eco-evolutionary patterns and processes in the coastal zone.



Evy Gobbens (NIOZ)

PhD Candidate at NIOZ Royal Netherlands Institute for Sea Research
Website
Graduated in 2021 from Wageningen University & Research (MSc Forest and Nature Conservation: Wildlife Ecology & Conservation)
Areas of expertise: Shorebirds, Marine Ecology, Sea Level Rise

Evy Gobbens is a PhD Candidate at NIOZ Royal Netherlands Institute for Sea Research. In December 2021, Evy began her research on the effects of sea-level rise on shorebirds in the Wadden Sea. In her research she often conducts fieldwork which involves observing the birds behaviours, catching and measuring them or tagging and tracking them. One of the techniques involves collecting samples of bird faeces, in which Evy is able to gain a detailed view of the diet and behaviour of shore birds. The ecosystem of the Wadden Sea is complex and relies on the intertidal dynamics of flood and ebb. As sea level-rise occurs, the question is can the ecosystem of the Wadden Sea follow suit? Evy's research aims to inform our forecasts of this, by researching how bird diets and habitats are affected by the current changes in the sea level.

Hailley Danielson-Owczynsky (NIOZ/Utrecht University)

PhD Candidate at NIOZ Royal Netherlands Institute for Sea Research and the Utrecht University
Website
Graduated in 2022 from Utrecht University (MSc Marine Sciences, a multidisciplinary program)
Areas of expertise: Benthic Invertebrates, Marine Ecology, Sea Level Rise

Hailley is currently researching invertebrates living at the bottom of the Dutch Wadden Sea, and the intertidal ecosystems they live in. Those creatures have evolved and adapted to the specific intertidal conditions of the Wadden Sea, alternating between flood and ebb. As sea level-rise occurs, the question is can the ecosystem of the Wadden Sea follow suit? Hailley’s goal is to forecast the effects of sea-level rise on the Wadden Sea ecosystem. To do this she uses existing, long-term datasets and a modelling approach.