What we do

We seek new fundamental insights into the coupling between Earth system components on time scales ranging from the present to hundreds of millions of years into the past.

Our approach is to develop and test data-driven techniques for quantifying complex interactions directly from observed records.

Our tools are relevant to any field of research where time series are used to study the dynamics of natural systems.

Selected Publications

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We compute transfer entropy by estimating the invariant measure from the invariant distribution of the transfer operator approximated …
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We leverage the intrinsic dynamical information in empirical records to show that the external forcing of ice volume encompasses …
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We review some of the ways in which causal connections can be extracted from palaeontological time series and provide an overview of …
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We use common and widespread species of planktonic foraminifera in deep-sea sediments and show that the observed global occupancy of …
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Tools

Causality Tools

A Julia package for computing causal estimators from time series data.

Predictive asymmetry

A simple and robust test for causal directionality in complex systems.

Uncertain Data

A Julia package for working with uncertain values and datasets.

Recent Talks

Nov 26, 2018 12:15 PM — 1:00 PM Bergen, Norway

A presentation of transfer entropy computation using the Perron-Frobenius operator.
Slides

People

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Bjarte Hannisdal

Associate Professor

Quantitative paleobiology/geobiology, Earth system history, Causality in dynamical systems

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David Diego

Researcher

Theoretical physics, Dynamical systems, Mathematical modeling of biological processes

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Jo Brendryen

Researcher

Climate system interactions, Paleoclimate reconstruction, Geochronology

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Kristian Agasøster Haaga

PhD fellow

Causality in dynamical systems, Paleoclimate analysis, Geochemistry and geology

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