- Phone+47 55 58 27 13
- Visitor AddressParkveien 9Ida Bloms hus5007 Bergen
- Postal AddressPostboks 78055020 Bergen
I study intensive agrarian systems and their sustainability through time. I focus on investigating their capacity to cope with socio-environmental shocks and manage uncertainty. My approach is holistic and merges anthropological frameworks with methods from the environmental sciences, ecology, modeling and statistics.
At UiB, I was the PI of the EU-funded project SIZE, which aimed at assessing the risks and benefits of promoting "large" and "small" irrigation systems through dynamic models and uncertainty/sensitivity analysis. This project was coordinated by the University of Bergen and had Princeton University as a partner institution.
I am used to working on water-related topics with a wide range of scientists from different fields, including engineers, hydrologists, archaeologists, mathematicians, ecologists and computer and environmental scientists. So if you are interested in collaborating, please drop a line!
See also overview in Cristin:
- (2022). Unpacking the modelling process via sensitivity auditing. Futures: The journal of policy, planning and futures studies.
- (2022). The Challenge of Quantification: An Interdisciplinary Reading. Minerva.
- (2022). Models with higher effective dimensions tend to produce more uncertain estimates. Science Advances. 1-11.
- (2022). Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies. Environmental Research Letters.
- (2022). Improving the reliability of cohesion policy databases. PLOS ONE.
- (2022). A COMPREHENSIVE COMPARISON OF TOTAL-ORDER ESTIMATORS FOR GLOBAL SENSITIVITY ANALYSIS. International Journal for Uncertainty Quantification. 1-18.
- (2021). Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy. Reliability Engineering & System Safety.
- (2021). The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environmental Modelling & Software. 21 pages.
- (2021). Is VARS more intuitive and efficient than Sobol’ indices? Environmental Modelling & Software.
- (2021). Irrigated areas drive irrigation water withdrawals. Nature Communications.
More information in national current research information system (CRIStin)
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