ATO for individuals
How can ATO and other Australian public data be used to help the community fill employment opportunities?
Go to Challenge | 27 teams have entered this challenge.
Jobit
Project Info
Team Name
HackVision
Team Members
6 members with unpublished profiles.
Project Description
HackVision's Project is seeking to address how recent and future changes in the labour market can assist in preparing young people for job opportunities through predictive modelling.
We have extended the concept to overlay training and ATO income data by the QLD region with an Aged Care industry focus to demonstrate how we can leverage open data to help individuals optimise occupational decisions and at a grass roots level assist the community in maximising employment outcomes.
HackVision have created Jobit, a POC 'mobile first' app which addresses audiences through a series of channels, engaging the job seeker, the employer and the training organisation by combining and layering various datasets at a federal, state and potentially local government level to demonstrate the potential of open data and power of predictive modelling to solve a long standing issue with a fresh, data driven approach.
Data Story
Our project focused on regional sector and industry specific data for QLD and Aged Care Services blending and layering data from ABS, ATO, LMIP and QLD Open API data-sets to articulate the extensibility of the Jobit solution and its potential in incorporating the use of predictive analytics to support targeted training and education initiatives, optimising the occupational decision making process for jobseekers
Team DataSets
QLD - Projective data - employment per occupation
Description of Use Based upon historical and predictive data we have used this data set as a base to run further predictive analysis producing projections for future years (through until 2025)
QLD employment by industry
Description of Use This data set was the foundation of the data that was used to perform predictive analytics so that future employment demand could be modeled out to 2025. This allows individuals, employers and training organisations to understand growth, decline, location and prospects for an industry at a granular level. It assists individuals in making informed decisions regarding Educational Choices; Employers identifying opportunities for geographic growth; and Training Organisations understanding future demand and direction by location.
Employment status by labour force region, Queensland
Description of Use Blending this dataset with additional statewide data provided the means to model results at a more granular level in respect to location. In addition this could add further depth to visualisation to assist in location based decisions enhanced with multiple dimensions especially where direct correlation between the datasets could be established
QLD Open API Data (Training organisations)
Description of Use Used to connect Job Seekers / Trainers in their selected industry sector for the Jobit App based upon formal education or vocational skill acquisition needs. For Employers, to facilitate the identification of potential candidates and to collaborate on future skills requirements.
Data by Region (SA4)
Description of Use Used to integrate into the POC app for location information (filtered for the QLD SA4 regions)
Aged Care data - Australia filtered by QLD state
Description of Use Used to focus on a specific industry area in QLD to add depth to the understanding of future demands and prospects
ATO - Income Data per region per year by ranking
Description of Use ATO - Income Data per region per year by ranking may be used as an overlay to provide supporting information for job-seekers in choosing new residential locations based upon industry / profession growth and opportunity. This will provide reassurance to the individual based upon factors beyond industry and location including socio-economic indicators
Challenge Entries
Australia’s Future Employment
Choose one of the following questions to address: 1. How can recent and future changes in the labour market help prepare young people for job opportunities? 2. What can we learn from case studies of regional labour markets? For example, what does rapid change in the industries or occupations within a region tell us about the needs of employers/workers in other regional labour markets
Go to Challenge | 38 teams have entered this challenge.
Queensland OpenAPI
Create a project using one or more of Queensland's Open-API’s
Go to Challenge | 39 teams have entered this challenge.
🌟 The Class of 2025
Considering the growing and emerging economic industries, how can data be used to assist tertiary education providers in developing courses that are relevant to, and supportive of future job creation?
Go to Challenge | 10 teams have entered this challenge.