Project Code: SCI090
Project Description:
This project aims to explore, compare, contrast and design engagement approaches for transdisciplinary social good projects specifically tailored to the unique context of New Zealand. This project offers a valuable opportunity to delve into the field of ML for Social Good, culminating in a comprehensive study on current and future approaches for utilizing machine learning to address societal challenges.
Our project focuses on examining how machine learning can be effectively designed and applied to address pressing social issues in New Zealand. We will explore existing Machine Learning for social good approaches and identify areas where tailored solutions can have the most impact, and how the tools build can be sustainable beyond the life of the projects. The culmination of this project will be a comprehensive study that outlines current approaches, evaluates their efficacy, and provides insights into future directions.
New Zealand Context:
By working on ML for Social Good within the unique context of New Zealand, you will have the opportunity to understand the specific challenges and needs of local communities. Through collaborations with experts and stakeholders, you will contribute to designing machine learning solutions that are relevant, culturally sensitive, and effective in addressing social issues specific to New Zealand.
Project Output:
Study on ML for Social Good Approaches: The ultimate outcome of this project will be a comprehensive study that investigates and documents the current landscape of ML for Social Good approaches, with a specific focus on New Zealand. The study will delve into the effectiveness, challenges, and future prospects of these processes and approaches, providing valuable insights for researchers, policymakers, and practitioners.
Be a part of the Centre of Machine Learning for Social Good. We are committed to advancing fundamental knowledge in machine learning and data analytics while tackling the most challenging health, environmental, and societal problems of our time. As the first center in Aotearoa dedicated to utilizing machine learning for social good, we collaborate closely with domain experts, leveraging their expertise as a catalyst to address high-impact societal issues.
Requirements:
1. Strong research and analytical skills
2. Familiarity with machine learning concepts and algorithms
3. Proficiency in data analysis and report writing
4. Ability to work independently and collaborate in a research team
5. Passion for utilizing technology for social good