Uncertainty quantification in classification with applications in forensic genetics (C01)

• Subject Area: Pathology ; Mathematics
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 499552394

To address the small data challenge of classifying a DNA trace from a crime spot, we will develop a general theoretical framework for uncertainty quantification. The amount of uncertainty can be expected to vary depending on the trace, and on the quality of the reference database. Most importantly, test data may have a different distribution than the reference database. To allow for this, we will formalize the notion of local uncertainty of decision boundaries, for subsequently developing approaches for obtaining uncertainty estimates and analyzing their properties.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1597: Small Data
• Applicant Institution: Albert-Ludwigs-Universität Freiburg
• Project Heads: Professorin Dr. Sabine Lutz-Bonengel; Professor Dr. Peter Pfaffelhuber; Professorin Dr. Angelika Rohde