CLA Placement Demand Modelling – By and For Local Authorities
An overview of the LA-led collaborative programme Data to Insight, and its work to develop free and open demand modelling tools for easy adoption by LAs. Learn about the barriers to collaborative data work in local government, and two routes we’ve developed to mitigate these. Hear what we’ve learned about the possibilities of CLA placement demand modelling, and how we work as a collaborative development venue to maximise value for councils from limited funding opportunities.
Alistair Herbert, Data to Insight Manager, Data to Insight, hosted by East Sussex County Council
Boost safeguarding through multi agency data sharing
The responsibility to safeguard vulnerable people lies with councils and safeguarding partners. Limited data sharing makes it hard to identify people who need support before crisis hits.
The Multi Agency Safeguarding Tracker (MAST) is a data driven digital tool developed for Walsall Council that allows information from multiple safeguarding bodies to be easily and securely shared, matched and anonymised.
MAST demonstrates that partner organisations across regions can join the dots with data to boost safeguarding.
We will discuss:
- How this ground-breaking approach to combining administrative datasets has created a clear view of safeguarding concerns across all partners
- How new smart approaches to data management has tackled security and data governance challenges
- How the data is brought to life to help safeguarding teams and frontline staff to improve communication, liaison and decision making
- How the MAST tool is designed to be easily replicated by other regions
Deven Ghelani, CEO & Founder, with Paul Withers, Data Protection Officer, Policy in Practice with Walsall Metropolitan Council
Identifying and Visualising Digital Exclusion Risk in Manchester
The COVID-19 pandemic brought into stark focus how vital digital access and literacy is to fully participate in society, and how digital inclusion is a key tool for improving economic and social wellbeing. There is a depth of national research on who is likely to be digitally excluded; organisations such as the Good Things Foundation have identified key demographic features that place an individual at greatest risk. We know who is at risk, the challenge is to find out where these people are. To mitigate this challenge, Manchester City Council (building on the work presented by colleagues in Salford) developed a Digital Exclusion Risk Index (DERI) that brought together 16 individual datasets that either directly or indirectly demonstrate levels of digital exclusion across households in the city. In this session we will discuss:
- How collaboration across departments led to the creation of a product that met the needs of residents and colleagues.
- How to meet the challenges of identifying the most relevant metrics, that cover the full scope of risk factors, whilst keeping within the stated aims of a project.
- How a data product can be put into action and embedded across services.
Jennifer Wall, Senior Analyst Manchester City Council
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