In which contexts does trust increase with reweighting (e.g. to account for affectedness, power imbalances, history, etc.)?

Proposes the “Goldilocks” equality objective for sortition algorithms that balance fairness, manipulation-robustness, and transparency when selecting representative panels for Citizens’ Assemblies. The algorithm ensures no volunteer receives too little or too much chance of selection, achieving n...

Develops an optimization framework for selecting alternate participants for citizens’ assemblies to minimize expected demographic imbalance when dropouts occur. The method uses historical data to estimate dropout likelihood and provides theoretical guarantees regarding sample requirements and est...