TC645 - Research, Evaluation and Data Sciences

Manchester City Council (MCC) is looking to establish a procurement framework to help delivery its research and intelligence work, in support of its wider objectives. The framework will provide a mechanism through which expert support and advice can be effectively obtained to meet the myriad of needs of Manchester. The Performance Research and Intelligence (PRI) function in MCC is establishing a procurement framework which will help support the work of the directorate, The Council and our partners. The Research, Evaluation and Data Science (REDS) Framework covers a broad range of activities which have been structured into six areas, known as LOTs. There will be a maximum of 15 providers on each LOT. The LOTs are as follows: LOT 1 - Data management, open text coding, text analytics and transcribing • Coding of text, including responses to open text consultation questions and internal case notes • Sentiment analysis • Machine learning analysis • Transcribing audio files • Recoding and transforming datafiles LOT 2 - Primary Research • Opinion research - Measuring perceptions and opinions of residents, businesses, service users via interviews, survey, focus groups • Observation/ ethnographic research • Insights including behavioral insights LOT 3 - Evaluations and Impact Assessments of Projects and Programmes • Theory of Change and Logic Model development • Evaluation and Impact Assessments of projects and programmes including both outcome and process evaluation • Cost Benefit Analysis • Randomised Controlled Trials • Rapid Evidence Reviews of services, systems and current internal practice • Equality Impact Assessments (EIA) and Health Impact Assessments (HIA) LOT 4 - Property & Economic Intelligence • Residential property market analysis • Commercial property market analysis • Economic research including businesses, employment and skills LOT 5 - Analytics and Modelling • Analysis of complex data and presentation to a wide range of audiences • Statistical Analysis, including descriptive statistics of time series, trends and demographic information • Statistical Modelling, including classification and regression modelling to support population segmentation, risk stratification and predictive modelling • Analysis of markets, including Social Care Markets • Population and Service needs assessments to inform policy and commissioning • Implementing data standards, quality and supporting approaches / systems • Analysis and Modelling of demand for services to support service planning and commissioning decisions • Presentation of analytics and modelling output to non-specialist audiences within bespoke and existing reports • Development of analytical and modelling processes into standard workflows. LOT 6 - Expert Networks: Cross-cutting Research and Evidence Generation • Rapid review and synthesis of multiple and complementary evidence sources • Complex systems modelling • Advanced and cross-discipline economic analysis