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Team Name:

YANGAMINI

Team Members:

Evidence of Work

YANGAMINI

Project Info

Team Name

YANGAMINI

Team Members

Jens , Yifan Song and 3 other members with unpublished profiles.

Project Description

To combat the highest suicide rate in the world, Yimpinnini (or Sistagirls), Indigenous transgender women on Tiwi Islands, have been kickstarting ecological bush tour for community resilience. Bush knowledge is traditionally gendered by male for hunting and female for gathering, but Yimpinnini can do both. Our fluidity tackles the miscommunication in Aboriginal health, low data literacy, segregation of health and environment, low school attendance rate, and community-led data ownership.
Our solution will develop a software for user-centred AI (natural language processing) to translate Tiwi language into English for tourism. As Tiwi communities have one of the highest suicide rate in Australia, especially in transgender population, our translation of Tiwi will compare with LLM mental health language for clinical decision support system. The system is compatible with Acacia, Northern Territory all-in-one public health system for clinicians.
The software is also integrated with the GIS system for ecological mapping, where Yimpinnini can map flora and fauna that are critical to environmental health. Such as mangrove groups that were cleared by colonial missionaries, and telescope snails for monitoring carbon and nitrogen levels in coastal areas, and traditional bush food for Tiwi islanders. Yimpinnini can host workshops in Tiwi middle schools combining computational ecology with traditional bush knowledge, and reflect on their impacts under ESG framework.

Data Story

  1. Tiwi has 22 times higher suicide rate than Australian average
  2. Government has been failing to predict suicide prevention.
  3. Up to 95% communication failure between patients and clinicians even with Aboriginal health worker involved.
  4. Almost 70% data illiteracy rate.
  5. Conventional data collection doesn’t follow Tiwi custom of 8 clans and 4 skin groups.
  6. Non-Indigenous health is segregated from environmental health.
  7. School attendance rate is as low as 60% on Tiwi Islands in 2022.

Evidence of Work

Video

Team DataSets

Enrolment and Attendance by Remoteness and Region - 2021 - Whole of Year

Description of Use Used to describe the problem where data is difficult to collect and acquire endorsement.

Data Set

TIWI ISLANDS SKIN GROUP

Description of Use Incompetitblility of non-Indigenous worker in community

Data Set

Average enrolment and attendance by school Term 1 2022

Description of Use As low as 60% on tiwi islands in 2022

Data Set

Ngawurramangajirri (we care for each other) Tiwi phrases for mental health and wellbeing

Description of Use Utilized this dataset to develop a prototype of an AI translation model.

Data Set

Recognising the communication gap in Indigenous health care

Description of Use Used as evidence to when defining the problem which leads to the need for the required solution.

Data Set

Deaths by suicide amongst Indigenous Australians

Description of Use Utilized the data within this resource to pinpoint and analyse the issue of suicide.

Data Set

Closing the Gap Annual Data Compilation Report July 2023

Description of Use The targets outlined in the reports align with the issues we aim to address in this project, such as mental health, education, and cultural preservation.

Data Set

Challenge Entries

Using Open Data to Close the Gap

How can we improve the data and information sharing practices between governments and Aboriginal and Torres Strait Islander communities and organisations to Close the Gap?

Eligibility: Must use at least one Australian dataset.

Go to Challenge | 7 teams have entered this challenge.

Using AI to better connect Northern Territory Science with the community

How can the Northern Territory Government use AI to better compile and report to the community the NT-based advances in Science and Technology?

Eligibility: Must use at least one NT open dataset - https://data.nt.gov.au/dataset.

Go to Challenge | 7 teams have entered this challenge.

Best Creative Use of Data in Response to ESG

How can you showcase data in a creative manner to respond to ESG challenges? How can we present and visualise data to stimulate conversation and promote change?

Eligibility: Must use a least one Australian relevant dataset - combining datasets preferred.

Go to Challenge | 33 teams have entered this challenge.

Using machine learning and generative AI to improve health outcomes

How can machine learning or generative AI be used to help Australians to live longer, healthier, happier lives?

Eligibility: Any submission that uses machine learning or generative AI for the purpose of improving the health and wellbeing of Australians, or provides a use case for using machine learning or generative AI for improving the health and wellbeing of Australians.

Go to Challenge | 14 teams have entered this challenge.

Supporting Territory Middle School students towards digital careers

How can the Northern Territory Government support more Territory Middle School students towards digital careers?

Eligibility: Must use least one NT Open Dataset - https://data.nt.gov.au/dataset/.

Go to Challenge | 9 teams have entered this challenge.

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