Data Poverty Project

In many developing countries, it is very difficult to survey vulnerable groups in a way that provides reliable research findings. These surveys also only give limited insights into the experiences of these populations. This project will develop a software program that can be used to model the probability of events occurring given the estimated probability of other events. These models can be developed with a small group of individuals and can give a better insight Into the network of events underlying the experiences of vulnerable groups. This software can also help organizations make better decisions by providing quick predictions based on their expert opinions or data analysis.

Faculty Supervisor:

Bruce Frayne

Student:

Jamie Sgro

Partner:

Accelyst Technologies Limited

Discipline:

Environmental sciences

Sector:

Information and communications technologies

University:

Program: