Nesta: Seeking Applications for Collective Intelligence Grants Program

Deadline: 9 November 2018

Nesta is seeking applications for its Collective Intelligence Grants to offer grants of up to £20,000 for projects that generate new knowledge on how to advance collective intelligence (combining human and machine intelligence) to solve social problems.

This call is relevant for organisations already combining human and machine intelligence, and who want to test a variety of approaches or a new approach to better understand what works in designing/applying collective intelligence for social good.


  • Increasing inclusion of citizens and public engagement in the participation of collective intelligence online platforms
  • Translating data and insights generated through collective intelligence into action
  • Harnessing collective intelligence to address the needs of underserved communities in cities or rural areas
  • How factors such as the diversity of the “crowd” (socio-economic background, gender balance, ethnicity etc) affect the outcome of the collective intelligence approach
  • Testing effective means of incentivising sustained participation in crowd-based collective intelligence
  • Piloting effective ways of translating between humans and machines involved in collective intelligence approaches e.g. improving the explainability of data/algorithms used
  • Evidence for the added value of using collective intelligence versus other approaches to address social challenges
  • Charities and public sector organisations piloting ways to increase their internal/organisational collective intelligence

Funding Information

  • In addition to funding of up to £20,000, they can also support the selected teams in other ways. It may:
    • Make Nesta’s collective intelligence research team available to provide research support to ensure experiments are appropriately designed and carried out.
    • Provide matching and brokerage support, helping to generate and/or identify individuals and organisations who can contribute to the experiments.
    • Organise conferences, webinars, or workshops to provide a forum to discuss experiments and findings with other grantees and a broader community of collective intelligence practitioners and academics
    • Promote the dissemination of the findings through different channels and translate them for a range of audiences.

Desired Outcomes

  • Desired outcomes from teams
    • Funded teams have increased their skills to develop and deliver their ideas
    • Funded teams have increased their knowledge to develop and deliver their ideas
  • Desired outcomes from experiments
    • The production of new insights on collective intelligence design (e.g. models/frameworks/features/approaches) based on evidence with general application for others to adapt, adopt, or test further


  • They welcome applications from registered organisations based anywhere in the UK or internationally. They will not fund individuals.
  • To be considered, submitted ideas must:
    • Be a practical experiment that will increase the evidence base on what works in designing/applying collective intelligence to tackle social problems
    • Demonstrate it will generate actionable insight for collective intelligence practitioners
    • Make use of digital technologies/methods
    • Demonstrate it is tackling a social problem in the public benefit.
    • Be made by legally incorporated organisations registered with the appropriate authority or regulator in the country of residence.

Applicants are not able to support ideas that:

  • Are likely to increase inequality or exclusion, or otherwise have a harmful or detrimental effect on individuals.
  • Are not likely to be of public benefit. They cannot support ideas that are solely or predominantly for the personal or private financial benefit of an individual or organisation.
  • Are from an individual. Applicant must be a registered organisation to be eligible for this funding.

How to Apply

Applicants can apply via given website.

For more information, please visit Nesta.

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