Boj - Jobquilibrium

team logo d2s
Team Name: 
D2S

We Michael, Mohammad and Tylor. Our team is called D2S.

This is our first GovHack and we've had a lot of fun. We are a small team and have developed an ambitious idea. 

The Problem

Skill shortages have been affecting Australia's economy for years and are projected to get worse. The CSIRO Global Megatrends 2016 report outlined that labour markets will be reshaped due to new disruptive and innovative technologies. Four corners early this year spoke about the future of Australia's workforce. They stated that in the next 10 to 15 years, 40% of currently existing jobs will no longer exist due to technological advancements. They also noted that we are heading for a future that will have an increased demand for more skilled workers to manage these new technologies. Skill shortages are a difficult challenge to address, because skills are gained over years of education, not immediately. This means that being reactive to skill shortages does not work. To truly address this problem, the solution must be predictive

Societal Value Add

This concept seeks to address the skills shortage challenge that will be faced by Australia’s future workforce in 2030. The concept addresses this by analysing current employment, industry and educational data projections for the year 2030 as well as processing identification data of a university applicant to provide information on relevant fields of study that have promising employment opportunities for that university applicant. The formula can be seen below:

relevant fields of study with promising employment opportunities

=

employment, industry and educational projections for 2030

+

university applicant identification data e.g. hobbies, facebook likes, tweets, etc.

 

Introducing Boj.

Boj is an intelligent, connected, machine learning powered, data driven chat bot. 
Boj uses a natural language interface (IBM Watson powered) to interact with students. A student can tell Boj about themselves, attach their Facebook and Twitter, and provide documents that Boj can process. Boj will use all the information about a student, along with a large number of datasets (detailed below), to provide advice to the student about future education and career paths.

Boj is powered by insights into how the workforce is changing. These insights are provided by analysing data and building predictive models. The data is provided by the Department of Employment, the Department of Industry, Innovation and Science and the Australian Bureau of Statistics. This data can be used to determine which industries are changing. For example, this graph (http://i.imgur.com/zofH62f.png) shows the labour force proportion of three groups of industries: shrinking, minimal movement, and growing. These are the kind of insights that Boj can provide.

Boj will also use data from the Department of Education (Undergraduate applications/offers/acceptances, QILT data) to provide information related to graduate outcomes, so students can make an informed decision.

Team Prize Details: 
University of Canberra
Used Datasets: 
Dataset Name: 
Labour market information portal
Publishing Organisation/Agency: 
Department of Employment
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Boj uses labour market information to feed predictive models that allow it to provide insights about future workforce composition
Dataset Name: 
Labour Force Catalog
Publishing Organisation/Agency: 
Bureau of Statistics
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Boj uses the labour force catalog, specifically: 6202.0 Labour Force, Australia 6227.0 Education and Work, Australia 6260.0 Labour Force Projections, Australia 6291.0.55.001 Labour Force, Australia, Detailed - Electronic Delivery To to feed predictive models that allow it to provide insights about future workforce composition
Dataset Name: 
Population Projections
Publishing Organisation/Agency: 
Bureau of Statistics
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Boj uses population predictions to assist in keeping labour market predictions proportional
Dataset Name: 
Australian Social Trends
Publishing Organisation/Agency: 
Bureau of Statistics
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Boj uses social trends as an input into the predictive model for labour markets
Dataset Name: 
Characteristics of Temporary Skilled Migrants
Publishing Organisation/Agency: 
Bureau of Statistics
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
The COTSM dataset indicates job gaps in the Australian economy, and is a useful tool for Boj to be able to quantify which jobs can't be filled with home grown talent
Dataset Name: 
Undergraduate Applications Offers and Acceptances
Publishing Organisation/Agency: 
Department of Education and Training
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
This dataset allows Boj to understand what degrees university students are commencing, which helps Boj to predict which skills will be appearing on the market in the next 3-5 years
Dataset Name: 
SA3 Region Innovation Data 2009-15
Publishing Organisation/Agency: 
Department of Industry, Innovation and Science
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Boj uses innovation data to help labour market prediction
Event Location: 
Canberra