Microsimulation

Our powerful microsimulation engine emulates the dynamics of large, complex systems at the micro level, utilizing novel mathematical solutions and modern numerical techniques. This highly effective and precise modeling method can be applied across various fields in science and industry, such as planning health interventions in countries, designing financial strategies, forecasting election results, or world simulations in video games.

Demographic changes in the UK after Brexit

State pension reform in the UK

Cybersecurity: Discovering botnet structure from sinkhole data (collaboration with CERT), see C++ code on GITHUB

Prediction

Analytical forecasting and assessment methods are commonly used in planning and decision making. They enable a better understanding of phenomena or enterprises, associated opportunities, risks and uncertainty, and hence allow to adopt a proactive and strategic approach. Building on our science and industry experience, Averisera provides quality analytical prediction services to the broad market, from standard tools and analyses to frontier research.

Cross-sectional Markov model & Forecasting Tool

Machine learning

Machine learning is a set of methods for data analysis that automates statistical model building. Its algorithms "learn" from data, enabling computers to discover complex structures and associations within it. The popularity of machine learning in various applications continues to grow, despite its susceptibility to overfitting and misinterpretation if used without sufficient caution and insight. As ML models become more complex, ensuring their interpretability and explainability is increasingly important to understand their decisions and make them more reliable and trustworthy.

Forecasting mortality trends using deep learning

Fertility trend analysis: interpretability & explainability of NN models