The Federal Disaster Assistance Policy – a declarative analysis

07/15/2022
by   Mark Dukes, et al.
0

In this paper we will provide a quantitative analysis of the Federal Disaster Assistance policy from the viewpoint of three different stakeholders. This quantitative methodology is new and has applications to other areas such as business and healthcare processes. The stakeholders are interested in process transparency but each has a different opinion on precisely what constitutes transparency. We will also consider three modifications to the Federal Disaster Assistance policy and analyse, from a stakeholder viewpoint, how stakeholder satisfaction changes from process to process. This analysis is used to rank the favourability of four policies with respect to all collective stakeholder preferences.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/05/2020

A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation

There is a need for socially assistive robots (SARs) to provide transpar...
research
02/07/2022

Stakeholder utility measures for declarative processes and their use in process comparisons

We present a method for calculating and analyzing stakeholder utilities ...
research
10/31/2016

The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems

Bringing transparency to black-box decision making systems (DMS) has bee...
research
06/11/2020

Understanding the Dynamics of Information Flow During Disaster Response Using Absorbing Markov Chains

This paper aims to derive a quantitative model to evaluate the impact of...
research
01/06/2023

Do You Need a Hand? – a Bimanual Robotic Dressing Assistance Scheme

Developing physically assistive robots capable of dressing assistance ha...
research
10/27/2017

The Algorithmic-Autoregulation (AA) Methodology and Software: a collective focus on self-transparency

There are numerous efforts to achieve a lightweight and systematic accou...

Please sign up or login with your details

Forgot password? Click here to reset