The researchers aimed to predict the unemployment rate in Poland using a method called dynamic model averaging (DMA). They wanted to consider different factors that affect unemployment, which may change over time. They also tried to include Google search data in their predictions. However, they found that the DMA model did not perform better than the ARIMA model in forecasting unemployment accurately. Despite DMA's success in other areas, it seems to struggle when it comes to predicting unemployment rates in Poland.