Transforming the national to the international (National)
Where should Australian Businesses go next?
Go to Challenge | 15 teams have entered this challenge.
Climactic
Project Info
Team Name
Climatic
Team Members
3 members with unpublished profiles.
Project Description
The project aims to empower government, companies, social groups and individuals to make their well informed big decisions through existing Gov data. Government makes decisions every day—with long term consequences such as the location of a school, or on a small scale such as the rostering of helpdesk staff. Decisions from individual also matter, such as where to buy their first home. Such decision could make an significant impact to their rest of life. Climate change is here! How do we make this personal to the citizens of Australia through data? How do we show them the impact of rising temperatures, erratic weather patterns, increasing drought & floods, rising sea levels?
Our solution consists of an immersive data experience through AR / VR to view the area of interest with data from Gov (climate and environment data) and private sector (real estate prices for example) overlayed . The viewer can then move a slider to change their risk profile, for example, to change the projected environment information and view this to make more informed decision. We provide a vision of the data platform as we see it evolving through continuous feedback via events like GovHack!
Here are a list of changes we aim to tackle
Bounty: Decision Support
Bounty: Is seeing truely believing?
Bounty: Making open data more open.
More than apps and maps: help government decide with data
Show Us The Numbers
Data4Good
SEED - Open Data with a Purpose
What do you want from government data challenge?
Urban Heat Challenge
Data Story
The main data we use consist of wetland of Australia, Temperature Data collected from Parramatta LGA, IPCC AR4 Sea Level Projections, House Prices from realestate.com.au. In this project, we have included wetland, temperature and sea level as our climate change factors/variables against house prices. For future work, we can scale the product to make other decisions other than property investment and include as many factors as possible.
Wetlands of Australia
Coastal wetlands are most at risk due to climate change. Understanding the impact of climate change and more specifically of sea-level rise on coastal wetlands must take into account factors that affect the ecological balance of wetland ecosystems
Temperature Data collected from Parramatta LGA
The temperature data set for Parramatta will be used to feed into the visualisation we have for the climate change. We want to use the information and also combine with a data set similar to climate change in Australia
IPCC AR4 Sea Level Projections
Projections for global averaged sea-level change for the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) were based on global climate model simulations completed as part of an internationally organized set of climate simulations called CMIP-3. The Sea-level rise projection from 1990 - 2100 is used to calculate the water rising in and around sydney wet lands.
House Prices
The data is collected form realestate.com.au. The data showcase prices of several properties in Parramatta suburb.
Team DataSets
Open Street Maps
Description of Use Provides base maps on which we provide our solutions. Allows our solution to be used globally
Planning/EPI_Protection_Layers, NSW Coastal Wetlands
Description of Use Coastal wetlands are most at risk due to climate change. Understanding the impact of climate change and more specifically of sea-level rise on coastal wetlands must take into account factors that affect the ecological balance of wetland ecosystems
Planning/EPI_Protection_Layers, Flood
Description of Use Coastal wetlands are most at risk due to climate change. Understanding the impact of climate change and more specifically of sea-level rise on coastal wetlands must take into account factors that affect the ecological balance of wetland ecosystems
Temperature Data
Description of Use The temperature data set for Parramatta will be used to feed into the visualisation we have for the climate change. We want to use the information and also combine with a data set similar to https://www.climatechangeinaustralia.gov.au/en/climate-projections/explore-data/data-download/gridded-data-download/
IPCC AR4 SEA-LEVEL PROJECTIONS
Description of Use The Sea-level rise projection from 1990 - 2100 is used to calculate the water rising in and around sydney wet lands.
Proximity Area for Coastal Wetlands Description
Description of Use Coastal wetlands are most at risk due to climate change. Understanding the impact of climate change and more specifically of sea-level rise on coastal wetlands must take into account factors that affect the ecological balance of wetland ecosystems
ArcGIS REST Services Directory
Description of Use Areas at risk of flooding
Challenge Entries
Urban Heat Challenge
How might we better use this data to communicate the urban heat challenges of Parramatta, and how might we improve on this in Parramatta LGA during summer?
Go to Challenge | 4 teams have entered this challenge.
SEED - Open Data with a Purpose
We are seeking to challenge the status quo. Moving from open data as a bi-product of government business, to active management of open data to better support reuse and innovation – hence open data with a purpose. To achieve this we want to trigger a conversation between developers and the data custodians.
Go to Challenge | 11 teams have entered this challenge.
Data4Good
How can open data be used to make a social impact, contributing to the betterment of society? How can we improve prospects for children, and education, using open data? What sort of impact can be made on homelessness, mental health outcomes, or the environment, using open data?
Go to Challenge | 19 teams have entered this challenge.
More than apps and maps: help government decide with data
How can we combine data to help government make their big and small decisions? Government makes decisions every day—with long term consequences such as the location of a school, or on a small scale such as the rostering of helpdesk staff.
Go to Challenge | 58 teams have entered this challenge.
Bounty: Is seeing truely believing?
How can we tell a story with visualisations, that speaks the truest representation of our data?
Go to Challenge | 28 teams have entered this challenge.
Bounty: Making open data more open.
How can open data be presented on search.data.gov.au to make it easier and friendlier to use? Does this mean making it more similar to using standard search engines, like Google, or something else entirely?
Go to Challenge | 34 teams have entered this challenge.
Bounty: Decision Support
How can we make it easy to use weather and ocean data to our advantage? (e.g. when should you lay concrete, or go out yachtting or picnicking?)
Go to Challenge | 24 teams have entered this challenge.
What do you want from government data challenge?
How should NSW government best provide data to the developer community? Show how our data can be made more usable for developers. What quality or format or standardisation issues does government need to fix or to consider? What developer community needs does the government need to support better?
Go to Challenge | 13 teams have entered this challenge.