Leeds City Council hosted a Housing Innovation with a focus on helping customers make well informed choices when placing bids on council housing. Here, Tom has created an easy-to-use and intuitive visualisation of how long customers are likely to have to wait in various wards around Leeds.
In May 2017 council’s from across the North of England came together to participate in three Local Government Association (LGA) funded Innovation Lab-style workshops in Newcastle, Leeds and Stockport, to focus on promoting healthy lifestyles. Check here to find out what the results were…
Maple is a tool for generating maps of geographic data about Leeds; for example, if you want to visualise your geographic data in a report or presentation. It is aimed at people who already have the data, but are having difficulty presenting it in a meaningful way.
Leeds Adult Learning offers a range of first step courses for adults. Courses take place across the city in a variety of different venues. Whether you are looking to learn a new skill, help your child or develop your skills to find work there will be a course for you. Many courses are free, subject to personal circumstances.
The Leeds Public Health Dashboard provides the user with an interactive tool to easily view information about a variety of health-related factors affecting the city. Just choose your preferred indicators and click on ‘Display Points’ to see the results plotted on the map.
The Urban Data Platform is a joint initiative of the Directorate General Joint Research Centre and the Directorate General for Regional and Urban Policy of the European Commission. It aims to provide access to information on the status and trends of European cities and their surrounding regions.
Careview is an age friendly application that addresses the missing link in the current services systems. It helps to spot and report signs of social isolation in our communities and neighbourhoods. Careview was developed during the Age Friendly Innovation Lab in Leeds in 2015/2016.
Produced by: Parallel Find out more: Leeds Schools 3D Map Parallel offer a range of interactive 3D maps and exploratory exercises investigating the capabilities of data-driven Mapbox GL JS vector maps and the new 3D rendering capability. You can view from a range of maps including school locations in Leeds, population densities, fuel poverty, flood risk…
Using data sourced from Leeds City Council via the Data Mill North, you can now explore and derive insight into where cycling casualties resulting from road traffic accidents occurred in Leeds (2009-2015).
Using data sourced from Leeds City Council via the Data Mill North, you can now explore and derive insight into where pedestrian casualties resulting from road traffic accidents occurred in Leeds (2009-2015).
Using library data published on the Data Mill North, Libraries Hacked has produced a useful and interesting web chart using the Highcharts tool, showing the amount of IT usage across the libraries in Leeds over the years.
Leeds Empties are a social enterprise in Leeds concerned with filling empty homes. They use data from the Data Mill North to show how their work is contributing to the number of empty homes reducing in the city.
Independent of the council, people are using data from the Data Mill North to provide real insight. We blog, tweet and promote this work where we can. Liam Bolton has analysed data published on the Data Mill to show the accident ‘hot spots’ in Leeds
Working with Hebe Works, a local digital SME, the council has created the Leeds City Dashboard. This is a product which has been created to make the data published on the Data Mill North and elsewhere more accessible. It is already available and will be formally launched in 2016.
The council didn’t have a comprehensive list of art across the city. It commissioned a small SME to design a crowdsourcing solution. Using Twitter and with GPS switched on, citizens are encouraged to take a picture of the art and tweet using #artcrawl. This has created a dataset which is published on the Data Mill North. Other councils have seen the potential of this prototype e.g. understand the location of trees or potholes.