Problem

Foreword

Allergy to pollen is one of the most widespread diseases in today's world. Even with the benefits of modern medicine, allergies still cause serious health problems and its avoidance is an important aspect of treatment. Thus, prediction of pollen concentration is a very important task.

Data

The data set was obtained within the IPA Cross-Border Programme Croatia-Serbia “Real-time measurements and forecasting for successful prevention and management of seasonal allergies in Croatia-Serbia cross-border region (RealForAll)". The set consists of over 11 000 measurements taken at every 7.5 minutes. The measurements include source strength (proximity to the source), time stamp, pollen concentration at 1.5m above ground, pollen concentration at 6m above ground, mean temperature, mean relative humidity, global solar radiation, sum of precipitation and turbulent kinetic energy.

Task

The task is to derive a prediction model for pollen concentration using whatever approach is deemed more effective by the participants. This might include analytic, semi-analytic approaches, statistics, modelling and numerics.