Team Name:
Opportunity Monitor
Team Members:
Opportunity Monitor
JOBY is not just an interactive data visualisation tool.
JOBY is not just an APP.
JOBY is not just an integration of multi-source data and multiple advanced methods.
JOBY is a knowledge and data-driven decision-making system, including four parts:
(1) An interactive data visualisation tool for spatial and temporal labour market data presentation.
(2) A user-friendly APP that can be used on both computers and mobile phones for data search and update, geovisualisation decision making, and performing any analysis in terms of users' needs.
(3) A spatial and temporal data analysis toolbox for exploring temporal and geographically local data patterns and regional clusters, and investigating regional economic development, industry and population factors.
(4) A future labour market prediction toolbox for predicting future labour market scenarios using multi-source data, including socio-economic statistical data, satellite remote sensing data and future global climate change scenarios. Economic models, machine learning and spatial and temporal models are integrated for more accurate prediction.
This project aims at developing a comprehensive a knowledge and data-driven labour market decision-making system. The comprehensive decision system can help government to improve the capacities of in-depth data analysis and strategic management.
Significance
A knowledge and data-driven decision making system
is not just a single data analysis method
or a visualisation tool,
it is a comprehensive system
including both experts' knowledge and data-driven research,
both methods and tools,
and both data analysis and serving for strategic decision making.
Innovations
A series of advanced dynamic visualisation and interactive geovisualisation approaches are used to investigate historical labour market data.
Sophisticated mathematical and spatial statistical methods are applied in exploring labour market variations. They are presented in an easy understanding way.
Multi-source data are integrated to assess the potential factors of the labour market and their regional effects.
Economic models, machine learning and spatial and temporal models are integrated to predict future scenarios of labour market, including the unemployment rate, participation rate and employment rate in different regions across Australia.
The monthly unemployment rate in different regions from 2004 to 2015 are visualised using a dynamic data visualisation tool.
The geovisualisation decision making APP can be visited via three optional ways.
(1) Directly use it on the website
(2) Scan QR code to use it on your phone
(3) Click this link to visit the website on your computer
Spatial and temporal variation trends analysis.
Enterprise statistics by industries.
Multi-source data are integrated to assess the potential factors of the labour market and their regional effects. The explanatory variables include socio-economic statistical data, satellite remote sensing data and future global climate change scenarios.
Economic models, machine learning and spatial and temporal models are integrated to predict future scenarios of labour market, including the unemployment rate, participation rate and employment rate in different regions across Australia.
New Datasets: Labour market reorganised historical and predicted future spatial and temporal data across Australia
New Visualisation Approaches and Tools: Dynamic visualisation and interactive geovisualisation
An APP: Interactive geovisualisation decision making APP
Innovative Findings: National, state/territory and local trends, variations, characteristics, hotspots and potential factors of labour market. The findings can be directly applied in accurate national and regional management.
Practical Applications: The new datasets, visualisation approaches and tools, the APP, and innovative findings are integrated for comprehensive, accurate and effective labour market management. The predictive and strategic management is critical for prospering the labour market.
Description of Use For statistical analysis about the relationship between employment or unemployment rate with enterprise in different companies.
Description of Use Following data in this website are used for presenting Australian labour market: - Regional employment condition: http://lmip.gov.au/default.aspx?LMIP/Downloads/EmploymentRegion; - Local employment condition: http://lmip.gov.au/default.aspx?LMIP/Downloads/ABSLabourForceRegion.
Eligibility: Must make use of any open dataset and apply two different incentive systems
Go to Challenge | 12 teams have entered this challenge.
Eligibility: Western Australian competitors
Go to Challenge | 4 teams have entered this challenge.
Eligibility: The participants need to use ATO Taxation Statistics.
Go to Challenge | 27 teams have entered this challenge.
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 10 teams have entered this challenge.
Eligibility: Use any open dataset to support your entry and having experience in scientific visualisation
Go to Challenge | 11 teams have entered this challenge.
Eligibility: The dataset "Stocktake of Australian Innovation Precincts – June 2019" must be used
Go to Challenge | 23 teams have entered this challenge.
Eligibility: Use one or more datasets from the Labour Market Information Portal
Go to Challenge | 38 teams have entered this challenge.
