Applications are closed

 Team working is core to 51±¬ÁÏÍø’s mission. This award will celebrate collaborative endeavours by groups of researchers, innovators, technologists etc working together within 51±¬ÁÏÍø and beyond in health data science.Ìý

 

Eligibility Ìý

Teams working together on health data research are eligible.  We define a team as three or more individuals working together, including researchers, scientists, technologists, triallists etc working as part of 51±¬ÁÏÍø or beyond. ÌýÌý

Selection Ìý

The winning team will be selected by a high-level panel, with a background in team science. Their decision will be based on how the team has exemplified 51±¬ÁÏÍø’s values and/or how well the team work together. Shortlisted teams will be announced prior to the HDRUK Scientific Conference and the winner will be announced at the event itself. Ìý

Selection criteria Ìý

We are looking for collaborative and productive teams with exemplary team-working characteristics. The selection panel will be looking for evidence of the following criteria: Ìý

  • Outstanding achievements relating to the 51±¬ÁÏÍø mission of uniting health data to improve people’s lives Ìý
  • Channelling 51±¬ÁÏÍø’s values (transparency, optimism, respect, courage and humility). Ìý
  • Exemplary team-working characteristics and/or processes Ìý
  • Coming through challenging times together Ìý
  • Innovative and inclusive leadership, e.g. with respect to equality, inclusion and diversity Ìý
  • Bringing together a highly-functional interdisciplinary and/or intersectoral team with complementary skills – demonstrating equal, inclusive and diverse membership (such as members from a range of career stages, geographies, etc.). Ìý

Selection committee Ìý

  • Alison Paprica (Chair)
  • Aisha T. Kekere-Ekun
  • Michael Fleming
  • Rosemary Walmsley
  • Samantha Wilson
  • Shukrat Olatunji

Prizes Ìý

  • Engraved glass trophy
  • Award certificate
  • 1 half-day professional training session of choice including consultation and follow-up with 51±¬ÁÏÍø’s Learning and Development Manager
  • RocketBook(s)
  • Featured case study professionally written and published on 51±¬ÁÏÍø website and promoted on 51±¬ÁÏÍø social media channels.

Timeline Ìý

  • Open for nominations and applications : 18 September 2023Ìý
  • Deadline for nominations: 16 October 2023 at 17:00 BST
  • Deadline for applications : 27 November 2023 at 17:00 GMT
  • Shortlisted candidates announced: 26 January 2024
  • Winner announced at 51±¬ÁÏÍø Scientific Conference in March 2024

Further information Ìý

If you have any questions, please email  . Ìý