Reflective Writing Piece on Cultural Sensitivity with Respect to Data Analytics

Continuous Assessment 1.1 - Reflective Writing Piece on Cultural Sensitivity with Respect to Data Analytics

Component of assessment scheme: This assessment task comprises 20% of the total grade for this course.

Due date: Beginning of week 4 ( 12:00 noon on Monday)

Submission process: Online on Moodle

Assessment description

In this assessment task you are to write a reflective essay on how data analytics can negatively impact specific groups in our community. You will be provided with several resources and a set of questions to help guide your writing.

Aims

The aim of this assessment is to demonstrate your understanding of how the actions you take as a data analyst can negatively impact on specific groups within the community.

By successfully completing this assessment task, you will demonstrate your achievement of these course objectives:

CO2. Identify the development phases of data analytics process and develop skills associated with them.

CO4: Describe how data analytics can impact on indigenous, cultural and diverse groups of people.

Criteria

Depth of reflection

Structure

Ability to answer the question/s

Instructions

You are to write a reflective piece of up to 700 words which addresses one (in-depth) or many (slightly covered) of the questions outlined below. You may use the questions as headings in your response. In your reflective piece, you are to use APA 7 referencing for your references. You can find more information on how to use APA referencing on the Study Resources page.

Choose at least two articles or websites to review. These articles must relate to the content of Week 2 -- Cultural Sensitivity in Data Analytics.

Review these suggested questions and use them as guides when you review the articles you have chosen.

Why is it important to collect data about specific groups?

How can data be used/misused to the benefit of particular groups?

What are the responsibilities of a data analyst in relation to cultural sensitivity?

How do we understand bias in data collection, and can it be harmful?

How has quantifying identity become problematic for Aboriginal people?

What is indigenous data sovereignty and how would it affect data analysis projects?

What are the Sins of Indigenous Statistics and how might these be better presented?

Read the articles/websites you have chosen and reflect on how they help to answer these questions, drawing specific examples from the content in Week 2 or/and 3

Review the articles provided below to help shape your response to the questions.

Supporting Articles

Refers to the principals of ethical research when working with Aboriginal peoples: https://www.nhmrc.gov.au/research-policy/ethics/ethical-guidelines-research-aboriginal-and-torres-strait-islander-peoples

Face the Facts Aboriginal and Torres Strait Islander Peoples. Infographic which provides demographic/health and other data: https://humanrights.gov.au/our-work/education/face-facts-aboriginal-and-torres-strait-islander-peoples

First Nations people Overview - Australian Institute of Health and Welfare (2024): https://www.aihw.gov.au/reports-data/population-groups/indigenous-australians/overview

Australian Bureau of Statistics: https://www.abs.gov.au/statistics/people/aboriginal-and-torres-strait-islander-peoples

2.09 Socioeconomic indexes - AIHW Indigenous HPF: https://www.indigenoushpf.gov.au/measures/2-09-socioeconomic-indexes

The identification of Aboriginal and Torres Strait Islander people in official statistics and other data: Critical issues of international significance: https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji180491

National agreement on closing the gap: https://www.closingthegap.gov.au/national-agreement/national-agreement-closing-the-gap

Terminology

The University of South Australia language guide for Engagement with Aboriginal Peoples can be found here. We ask that you utilise the correct language in your submissions.

Academic integrity

Refer to Academic Integrity and Referencing - University of South Australia for information on Academic Integrity.

Feedback

Feedback will be provided one week after submission for all tasks, via tracked changes and/or the marking guide, as indicated for each task.