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Restricted call: EPSRC digital economy NetworkPlus

Closing date: 
Thursday, 3 June 2021

The EPSRC invites applications to apply for funding to develop digital economy research communities with NetworkPlus. UKRI aims to support the development of research communities through the scheme – in line with their Digital Economy vision to rapidly realise the transformational impact of digital technologies on aspects of community life, cultural experiences, future society, and the economy.

NetworkPlus awards should aim to bring together a wide range of stakeholders to share knowledge, build a community, identify research priorities and opportunities, and kick-start collaborative research activities. To do this, NetworkPlus investments can undertake a number of different activities – including secondments, workshops, pilot projects, etc.

Each funded NetworkPlus must address one of the digital economy theme five priority areas, which reflect the theme’s long-term strategic goals:

  • beyond a data driven economy;
  • content creation and consumption;
  • equitable digital society;
  • sustainable digital society;
  • trust, identity, privacy, and security.

The call is ‘community-led’ – applicants need to propose and justify the area of focus. NetworkPluses should complement existing network and research activities in the area.

NetworkPluses should be highly multi-disciplinary, and activities should be UK-wide. NetworkPluses should include expertise in computer science and/or mathematical sciences and/or engineering – and it is expected that other relevant disciplines will also be involved (including manufacturing, social sciences, economics, arts and humanities).

 

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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