João Vitor Pamplona

Synthetic Population Generation and Georeferenced Household Allocation Via Iterative Proportional Fitting and Integer Programming

Categories (Mixed) Integer Linear Programming, Applications - OR and Management Sciences, Data Science Applications Tags , , ,

Georeferenced synthetic populations are essential inputs for agent-based simulations in epidemiology, transportation, and urban planning, yet existing methods for spatial allocation of households to residences lack formal optimality guarantees. We present a two-stage mathematical framework for generating such populations from publicly available census data. The first stage combines Iterative Proportional Fitting (IPF) with a mixed-integer … Read more

An Optimization-Based Algorithm for Fair and Calibrated Synthetic Data Generation

Categories Applications - OR and Management Sciences Tags , , ,

  For agent based micro simulations, as used for example for epidemiological modeling during the COVID-19 pandemic, a realistic base population is crucial. Beyond demographic variables, health-related variables should also be included. In Germany, health-related surveys are typically small in scale, which presents several challenges when generating these variables. Specifically, strongly imbalanced classes and insufficient … Read more