As a team of software developers we understand that machines are replacing labour on both a physical level, and mental level. Automation and business needs to optimise for efficiency are putting people out of work, or significantly reducing the required hours to complete specific tasks. For our population to meet to the challenges presented by these changing employment conditions, we need our current workforce to be able to re-locate, re-skill, or re-educate; the other option - retire - is not available to the great majority of the populace.
For those yet to enter the workforce, we need to provide better pathways to employment in industries that are growing, not shrinking, and have an increasing need for human resources, not an excess of existing trained and experienced staff or job seekers. Thus we need to ensure that our education system is geared up to output more of what is predicted <em>to be</em> needed, and less of what <em>was</em> needed in the past.
We have used several indicators of business investment, growth and profitability (taxation) to highlight industries that are on the rise, mashed up with employment data over time showing how that growth is having an effect on the workforce in either a positive or negative manner. The intent is to highlight industry’s absorbing more of the workforce relative to the population in a statistical area, and industries shedding workforce.
Because industries cannot relocate as easily as people, it makes sense that this data is taken from a National level and mapped over a local area to better give job seekers an idea of where employment opportunities are growing, and where they are falling, and in what industries, then present that data based on a preferred locality. This then gives us the ability to not just rank employment prospects, but also compare it to housing affordability and other social indicators as the expected pay for a particular job may not match the cost of living or expected lifestyle in that area.
To provide a web based resource that can facilitate the best application of human resources to industry requirements using data to determine latent needs present in the local economy and growth industries of a particular area and the expected financial outcomes for employees based on trends present in related financial, economic and other indicators.
Proof of Concept
The proof of concept host went south late on Sunday so we have transitioned the code to static responses and re-hosted on a simple HTML service to illustrate the intended user interface. The natural language pathways are limited to a strict subset of data sets and the data is static as pulled from the ABS govhack.abs.gov.au site using the API, and then manipulate in Excel.
All code and other project data is hosted on our Git repo - https://github.com/madaz/govhack2016
Please see the Git Readme page for any forther details.