Research map / Learning theory and algorithms / Fairness
District-Fair Participatory Budgeting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Allow lotteries over budget-feasible outcomes and enforce district fairness in expectation | District-fair welfare maximization · District-fair welfare maximization | social welfare: ≥ OPT | Helped |
| Relax district fairness to DF1 and allow budget overspending | District-fair welfare maximization · District-fair welfare maximization | social welfare: (1-\varepsilon)\OPT | Helped |
| Use randomized rather than deterministic submodular optimization | DF1 welfare maximization · District-fair welfare maximization | budget: \left(1.647+ \varepsilon\right)b -> \left(1 + \frac{1}{e} + \varepsilon\right) b \approx 1.37 b | Helped |
| Apply the Unanimous Greedy Algorithm | District-fair welfare maximization · Unanimous approval districts, unit costs | social welfare approximation: \frac{1}{2} | Helped |
| Use a single city-wide election while imposing district fairness | Participatory budgeting · District-level participatory budgeting | social welfare | Helped |
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