Social Inclusion Platform

Project Info

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Team Members


6 members with unpublished profiles.

Project Description


Our hack provides the social entrepreneur the tools to take their idea to concept, helping them with contextual data to understand demand, validate their ideas against market conditions, help connect them with the support and infrastructure they require and providing the quantitative and qualitative data to continually measure their outcomes.


Data Story


We explored and extracted data from NSW employment figures, NEIS program, NDIS demand demographics, youth detention figures in NSW, land use and business activities in Melbourne CBD and ATO small business benchmark to power the ML algorithm to measure a potential social impact start-up in 4 different aspects in a given local suburb. The aspects are its projected social impact, business competitiveness, potential success rate, typical revenue and demand demographics.


Evidence of Work

Video

Homepage

Team DataSets

Australian Institute of house and welfare

Description of Use number of youth detention in NSW and we use it for predictive analysis

Data Set

Grants and assistance programs results page

Description of Use Find and Extract business grants to small businesses

Data Set

Blocks for Census of Land Use and Employment (CLUE) with business, employment and floor area counts

Description of Use identifiy business competition in melbourne cbd in CLUE blocks

Data Set

NEIS Data

Description of Use To explore and extract the successful rate of enterprises who finished NEIS

Data Set

ATO Small Business Benchmark

Description of Use We use it to find the business performance of different business types to merge with local business counts

Data Set

NDIS Demand Map

Description of Use Use the demand map for exploring and extracting demand and supply of social enterprises

Data Set

Challenges

Helping a social impact ‘start up’ (small organisation) to tell their story

Small and informal community/interest groups who have formed to solve local problems need data to know if their activities are making a difference and to re-design programs. How can we help these groups tell their story through data so they can seek support (political, financial, and on the ground) by showing how their programs are working, and decide where to focus next?

Go to Challenge | 23 teams have entered this challenge.

🌟 Improving the customer experience of government services

How can government data be used to improve the experience of citizens interacting with government?

Go to Challenge | 24 teams have entered this challenge.

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.

🌟 Small Business; Big Decisions

Where you choose to open a business plays a big role in whether you succeed or fail in small business. Many business owners make these decisions based on gut-feel or by doing extensive desk-research. How might open data help small business make better decisions?

Go to Challenge | 13 teams have entered this challenge.

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.

Helping Start-ups and New Small Businesses in Australia

Choose one of the following questions to address: 1. What trends in business activity can help encourage self-employment through NEIS? 2. What type of NEIS businesses are being started and are successful (participated in the full 12 months of NEIS Assistance) and what can we learn from broader industry growth areas? 3. How do we encourage self-employment through greater participation in NEIS for cohorts currently underrepresented?

Go to Challenge | 21 teams have entered this challenge.