Local Government Association: GB-London: Action learning sets for councils on embedding equalities through co-production and co-design

  Local Government Association is using Delta eSourcing to run this tender exercise

Notice Summary
Title: GB-London: Action learning sets for councils on embedding equalities through co-production and co-design
Notice type: Competitive Contract Notice
Authority: Local Government Association
Nature of contract: Not applicable
Procedure: Not applicable
Short Description: To deliver: -A series of up to 4 virtual action learning sets based on key issues identified through consultation with LGA project leads, to enable council stakeholders to identify problems and find solutions collectively -To work jointly with LGA colleagues on producing follow-up resources to share learning from the sessions and identify 4 -where the action learning set process has helped to produce innovative approaches and opportunities for further development -Support LGA officers to develop a framework to evaluate the impact of this support on councils’ local approaches and outcomes
Published: 01/11/2022 09:13

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Competitive Contract Notice

1. Title: GB-London: Action learning sets for councils on embedding equalities through co-production and co-design
2. Awarding Authority:
    Local Government Association
    National ID: 11177145, 18 Smith Square, London, SW1P 3HZ, United Kingdom
    Tel. 07958749056, Email: francesca.stott@local.gov.uk, URL: https://www.local.gov.uk/
    Contact: Francesca Stott, Attn: Francesca Stott
3. Contract Type: Services
      Sub Type: Other services.

4. Description: Project management consultancy services. Research and development services and related consultancy services. Research and development consultancy services. Research consultancy services. Development consultancy services. Equal opportunities consultancy services. Government services. To deliver:

-A series of up to 4 virtual action learning sets based on key issues identified through consultation with LGA project leads, to enable council stakeholders to identify problems and find solutions collectively
-To work jointly with LGA colleagues on producing follow-up resources to share learning from the sessions and identify 4
-where the action learning set process has helped to produce innovative approaches and opportunities for further development
-Support LGA officers to develop a framework to evaluate the impact of this support on councils’ local approaches and outcomes
5. CPV Codes:
   72224000 - Project management consultancy services.
   73000000 - Research and development services and related consultancy services.
   73200000 - Research and development consultancy services.
   73210000 - Research consultancy services.
   73220000 - Development consultancy services.
   98200000 - Equal opportunities consultancy services.
   75131000 - Government services.

6. NUTS Codes :
   UK - UNITED KINGDOM

7. Main Site or Location of Works, Main Place of Delivery or Main Place of Performance: UNITED KINGDOM,
8. Reference Attributed by the Awarding Authority:
9. Estimated Value of Requirement: Category K:10K to 25K
Currency: GBP
10. Deadline for Expression of Interest: 14/11/2022 17:00:00
11. Address to which they must be sent:
    18 Smith Square
   
12. Other Information:
Other Information: The contracting authority considers that this contract may be suitable for economic operators that are small or medium enterprises (SMEs). However, any selection of tenderers will be based solely on the criteria set out for the procurement.
For more information about this opportunity, please visit the Delta eSourcing portal at:
https://www.delta-esourcing.com/tenders/UK-GB-London:-Action-learning-sets-for-councils-on-embedding-equalities-through-co-production-and-co-design/V9NX3H6R59

To respond to this opportunity, please click here:
https://www.delta-esourcing.com/respond/V9NX3H6R59
TKR-2022111-PRO-21322175
Suitable for VCO: Yes
Procedure Type:OPEN
Period of Work Start date: 22/11/2022
Period of Work End date: 31/03/2023
Is this a Framework Agreement?: no

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