Uncertainty-aware research focuses on understanding and incorporating uncertainty into data analysis, decision-making, and modeling. This research area seeks to quantify and account for the uncertainty that arises from imprecise data, incomplete information, or variability in processes. By considering uncertainty, researchers can better assess the reliability of their results, make more informed decisions, and improve the robustness of their models. Techniques used in uncertainty-aware research may include probabilistic modeling, sensitivity analysis, and uncertainty quantification.