# Sustainable Fair Division

## TL;DR

This paper reviews online fair division models, including food banks and organ allocation, analyzing mechanisms under risk-averse agents with imperfect information, and discusses their axiomatic and complexity properties.

## Contribution

It introduces a new model for organ allocation, compares it with existing food bank models, and analyzes mechanisms considering agents' risk aversion and imperfect information.

## Key findings

- Mechanisms are effective under risk-averse agents.
- Complexity results highlight computational challenges.
- Axiomatic properties guide fair resource allocation.

## Abstract

In this paper, I summarize our work on online fair division. In particular, I present two models for online fair division: (1) one existing model for fair division in food banks and (2) one new model for fair division of deceased organs to patients. I further discuss simple mechanisms for these models that allocate the resources as they arrive to agents. In practice, agents are often risk-averse having imperfect information. Within this assumption, I report several interesting axiomatic and complexity results for these mechanisms and conclude with future work.