Invitation to join CLS Scientific Advisory Network

The Centre for Longitudinal Studies is inviting expressions of interest from experts wishing to join our Scientific Advisory Network (SAN).

CLS SAN is a cross-sectoral advisory network bringing together academic, policy, and third-sector experts. It plays a vital role in shaping the scientific direction of our longitudinal cohort studies and wider research portfolio.

“The SAN is part of our continued commitment to ensuring our work is guided by expert advice and remains relevant to both research and policy. This is an exciting opportunity to shape our future data collections.”

Professor Alissa Goodman

Professor Alissa Goodman (UCL Centre for Longitudinal Studies) said: “I am delighted to invite expressions of interest to join our Scientific Advisory Network. The SAN is part of our continued commitment to ensuring our work is guided by expert advice and remains relevant to both research and policy. This is an exciting opportunity to shape our future data collections and work together on some of today’s most pressing issues.”

To submit an expression of interest, please fill in this form. The deadline is Monday, 17 November.

Why take part

SAN members have the opportunity to:

• shape future data collection and research priorities in their area of expertise
• input on emerging policy-relevant research questions
• amplify the impact of longitudinal evidence on policy and practice
• collaborate with leading researchers and practitioners.

The SAN is currently organised into themes that reflect key areas of scientific investigation and measurement in the CLS cohorts.

Who can apply?

We are looking for applicants with expertise in scientific areas of investigation that are relevant to the CLS cohort studies. We are interested in applications from individuals with interest in any stage of the life course, reflecting the full portfolio of CLS cohort studies, spanning from early years through to older age.

Applicants could also have knowledge of how longitudinal or other population data evidence can be applied to inform policy or professional practice.

We are also seeking applicants with relevant knowledge of survey methodology and applied statistical methods.

Members should be affiliated with an academic institution, research centre, third-sector organisation, or another body with an interest in evidence-based policy, social research, or data use.

We particularly welcome applications from:

• individuals across different sectors, such as academia, government and the third sector
• individuals from under-represented groups
• individuals from all four UK nations.

Your responsibilities

Members of the SAN:

• provide strategic advice to help maximise the scientific and policy value of CLS cohort data
• participate in consultations on upcoming data collections
• identify research priorities
• support effective communication between CLS and relevant stakeholders, such as sharing information within networks, attending or contributing to stakeholder events, or taking part in sessions
• advise on opportunities to increase the policy relevance and impact of CLS research.

There is not a set time commitment but SAN members will typically be invited to one scientific theme meeting each year, and/or will have the opportunity to contribute to in-depth consultations relating to planned CLS data collections.

SAN membership is on an honorary basis and not financially compensated.

Take part

To submit an expression of interest, please fill in this form. The deadline is Monday, 17 November.

If you have any problems with the form or questions about the CLS SAN please contact Erica Wong via email: erica.wong@ucl.ac.uk.

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