# Supporting a Sustainable and Inclusive Urban Agriculture Federation using Dashboarding

## TL;DR

This paper presents a process for creating dashboards that support urban agriculture federations, enabling local awareness and federated learning to improve food security for vulnerable urban populations.

## Contribution

It introduces a reusable process for developing dashboards that facilitate data collection, visualization, and federated learning in urban agriculture federations.

## Key findings

- Defined key performance indicators for urban agriculture data
- Developed visualization strategies for local decision making
- Reported initial insights from the Feed4Food project

## Abstract

Reliable access to food is a basic requirement in any sustainable society. However, achieving food security for all is still a challenge, especially for poor populations in urban environments. The project Feed4Food aims to use a federation of Living Labs of urban agriculture in different countries as a way to increase urban food security for vulnerable populations. Since different Living Labs have different characteristics and ways of working, the vision is that the knowledge obtained in individual Living Labs can be leveraged at the federation level through federated learning. With this specific goal in mind, a dashboarding tool is being established. In this work, we present a reusable process for establishing a dashboard that supports local awareness and decision making, as well as federated learning. The focus is on the first steps of this creation, i.e., defining what data to collect (through the creation of Key Performance Indicators) and how to visualize it. We exemplify the proposed process with the Feed4Food project and report on our insights so far.