Publications

November–December 2024
Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

By: Kirk Bansak and Elisabeth Paulson

This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details

Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment

2024
Article

Learning Under Random Distributional Shifts

By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler

Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details

Keywords: AI and Machine Learning; Refugees; Employment

May 2024 (Revised May 2024)
Case

Market by Met Council: Revolutionizing Food Pantries in the Digital Age

By: Elisabeth Paulson and Michael W. Toffel

In fall 2023, the Food Program of Met Council—America’s largest Jewish charity dedicated to fighting poverty—completed the rollout of the newest version of its digital pantry platform to twelve food pantries in the Met Council food pantry network. The digital... View Details

Keywords: Customer Focus and Relationships; Digital Transformation; Nonprofit Organizations; Service Operations; Human Needs

Educators

Working Paper

Group Fairness in Dynamic Refugee Assignment

By: Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt and Wentao Weng

Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic location within a host country to which the refugee or asylum seeker is... View Details

Keywords: Refugees; Geographic Location; Mathematical Methods; Employment; Fairness

2021
Article

Public Health Risks Arising from Food Supply Chains: Challenges and Opportunities

By: Lu Chen, Donovan Guittieres, Retsef Levi, Elisabeth Paulson, Georgia Perakis, Nicholas Renegar and Stacy Springs

Safe, healthy, and resilient food supply chains are essential to ensuring the livelihood and well-being of humans and societies, as well as local and global economies. However, the ability to provide and sustain access to nutritious and safe food continues to be a... View Details

Keywords: Food Safety; Adulteration; Malnutrition; Supply Chain; Health; Government Administration; Food and Beverage Industry

2020
Working Paper

Fresh Fruit and Vegetable Consumption: The Impact of Access and Value

By: Retsef Levi, Elisabeth Paulson and Georgia Perakis

The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details

Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration

SSRN

2020
Working Paper

Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty

By: Pavithra Harsha, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson and Georgia Perakis

Supply uncertainty in produce supply chains presents major challenges to retailers. Supply shortages create frequent disruptions in terms of promised delivery times, quantity and quality delivered. To alleviate these challenges, dual sourcing--a strategy in which... View Details

Keywords: Information Sharing; Yield Uncertainty; Ration Gaming; Blockchain; Supply Chain; Risk and Uncertainty

SSRN

2019
Working Paper

Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households

By: Retsef Levi, Elisabeth Paulson and Georgia Perakis

The federal government currently spends over $100 billion per year on policies aimed to increase fruit and vegetable (FV) consumption among low income households. These include price-, nutrition education-, and access-related interventions. Currently, the government... View Details

Keywords: Bi-level Optimization; Optimal Subsidies; Public Policy; Food Policy; Central Planner; Government Administration; Poverty; Food; Nutrition

SSRN

August 2016
Article

Cooperation Can Emerge in Prisoner’s Dilemma from a Multi-species Predator Prey Replicator Dynamic

By: Elisabeth Paulson and Christopher Griffin

In this paper we study a generalized variation of the replicator dynamic that involves several species and sub-species that may interact. We show how this dynamic comes about from a specific finite-population model, but also show that one must take into consideration... View Details

Keywords: Prisoner's Dilemma; Replicator Dynamic; Zero-sum Game; Cooperation; Behavior; Balance and Stability

July 16, 2016
Article

A Game Theoretic Model for Resource Allocation Among Countermeasures with Multiple Attributes

By: Elisabeth C. Paulson, Igor Linkov and Jeffrey Keisler

We study a strategic, two-player, sequential game between an attacker and defender. The defender must allocate resources amongst possible countermeasures and across possible targets. The attacker then chooses a type of threat and a target to attack. This paper proposes... View Details

Keywords: Resource Allocation; Game Theory; Strategy

2016
Chapter

Deriving an Optimally Deceptive Policy in Two-Player Iterated Games

By: Elisabeth Paulson and Christopher Griffin

We formulate the problem of determining an optimally deceptive strategy in a repeated game framework. We assume that two players are engaged in repeated play. During an initial time period, Player 1 may deceptively train his opponent to expect a specific strategy. The... View Details

Keywords: Deception; Strategy; Game Theory

2015
Chapter

Optimal Process Control of Symbolic Transfer Functions

By: Christopher Griffin and Elisabeth Paulson

Transfer function modeling is a standard technique in classical Linear Time Invariant and Statistical Process Control. The work of Box and Jenkins was seminal in developing methods for identifying parameters associated with classical (r, s, k) transfer functions.... View Details

Keywords: Transfer Functions; Markov Processes; Stochastic Models; Process Control; Research; Information Technology

2014
Chapter

Better Timing of Cyber Conflict

By: Elisabeth Paulson and Christopher Griffin

In this paper, we construct a model of cyber-weapon deployment and attempt to determine an optimal deployment time for cyberweapons using this model. We compare and contrast our approach to that in Axelrod and Iliev (R. Axelrod and R. Iliev. Timing of cyber conflict.... View Details

Keywords: Cyber-weapons; Cyberwarfare; Cybersecurity; National Security