Migration and Community Resilience Project: adaptation of an existing Community Resilience tool and data analysis
This is a contract result notice, not an open opportunity. Details from the official award data.
This sits below the typical range for Business Services contracts — a smaller, more accessible award. Based on 57,319 valued Business Services tenders in our corpus.
The London Borough of Hounslow requires a Service Provider with proven expertise in mapping, analysing and presenting data on wellbeing and resilience within communities.
In 2015 the Hounslow Local Strategic partnership, Hounslow Together, commissioned an organisation to develop a predictive mapping and insight tool to consider community resilience.
This predictive tool uses data from the Understanding Society Survey to highlight areas where there may be challenges with wellbeing, neighbourhood support, isolation and competence.
We are confident of the tools ability to 'red flag' areas where resilience might be an issue, but it requires further adaptation to meet the specificities of the migration project.
The successful applicant will need to demonstrate their ability to proceed quickly and to lead the second stage of the project
What the notice asks for
This predictive tool uses data from
This predictive tool uses data from the Understanding Society Survey to highlight areas where there may be challenges with wellbeing, neighbourhood support, isolation and competence.
We are confident of the tools ability
We are confident of the tools ability to 'red flag' areas where resilience might be an issue, but it requires further adaptation to meet the specificities of the migration project.
The successful applicant will need to demonstrate
The successful applicant will need to demonstrate their ability to proceed quickly and to lead the second stage of the project.
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- OCID
- 8df82425-98ba-446a-98f6-5b4ac08037c2
- Stage
- contract · Contract
- Source
- Contracts Finder
- Buyer ref
- HOUNSLOW001-DN304858-93126897
Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.
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