Nettsider med emneord «Agent-based modeling»

Economic models used for forecasting and to aid policy decisions have been estimated by the use of data from before the Covid-19 pandemic and the ensuing lockdowns, drop in economic activity and surge in unemployment. An important question for model developers and users is therefore how the empirical relationships that represented normal behavior of firms and households before Covid-19 have been affected by the pandemic and by the policy responses.

A six-year project with the goal to develop and use machine learning to improve the way social scientists can answer classic as well as emerging questions in economics that require the use of large datasets.

Recently maturing software for stellar modeling and evolution, such as MESA, have been applied to constraining variations of the gravitational constant and exploring such a variation’s ability to account for the Hubble tension between the late- and early- time universe by biasing the local distance ladder.

Digital twins are necessary for the successful digitalization of oil and gas field operations. Unfortunately, they are poorly understood and hyped.