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


We show that the evolution of any dynamical system is related to a predictive asymmetry that quantifies causal connections from limited …

We show that marine-based sectors of the Eurasian ice sheet complex collapsed at the Bølling transition and contributed significantly …

We compute transfer entropy by estimating the invariant measure from the invariant distribution of the transfer operator approximated …

We leverage the intrinsic dynamical information in empirical records to show that the external forcing of ice volume encompasses …

We review some of the ways in which causal connections can be extracted from palaeontological time series and provide an overview of …

We use common and widespread species of planktonic foraminifera in deep-sea sediments and show that the observed global occupancy of …


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.


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



Bjarte Hannisdal

Associate Professor

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


David Diego


Theoretical physics, Dynamical systems, Mathematical modeling of biological processes


Jo Brendryen


Climate system interactions, Paleoclimate reconstruction, Geochronology


Kristian Agasøster Haaga


Causality in dynamical systems, Paleoclimate analysis, Geochemistry and geology, Software development

Our work is made possible by