COVID-19
Here you can find out what events we have coming up and book your place. These include training workshops and webinars for new and experienced CLS data users, academic conferences, and briefings aimed at policymakers.
Webinar recordings and presentations
Search our events archive below for details of past CLS events. Tick ‘previous events’ and search to view completed events. Our training and support page includes recordings of selected webinars and events. In August 2020 and June 2021 we ran COVID-19 online training sessions which are available here. If you can’t see what you’re looking for, please email us.
Join George Ploubidis for this Professorial Lecture which explores findings from across several generations suggesting how to delay the onset of chronic illness and promote health and wellbeing.
This short webinar gives first-time users and researchers less familiar with the Millennium Cohort Study (MCS) an insight into this unique longitudinal cohort dataset born at the turn of the century. This session gives an overview of the study aims, content and design as well as examples of recent research using the MCS.
This training webinar gives first-time users and researchers less familiar with Next Steps an insight into this unique cohort of ‘millennials’ in England.
This training webinar gives first-time users and researchers less familiar with Next Steps an insight into this unique cohort of ‘millennials’ in England. It includes an introduction to the study aims, content and design as well as a helpful look at some of the types of research that can be conducted using the study
? This webinar gives first-time users an insight into four internationally-renowned cohort studies run by the Centre for Longitudinal Studies (CLS). Resources (all PDF slides opens in a new window): Part 1 – Introduction Part 2 – Content by ‘subject area’ Part 3 – Overview of the type of analysis Part 4 – Getting started […]
In honour of the 50th anniversary of the 1970 British Cohort Study, this scientific conference will showcase the latest cutting-edge research using CLS cohort data.
At this event, organised by CLOSER, we will present results on the measurement properties of mental health measures, before and after harmonising these so that they can be compared across time and study.
In this professorial lecture, Professor Alissa Goodman spoke about her research on inequalities, showing how both cross-sectional and longitudinal data are being used to illuminate and address some of the major social and policy questions of our time. A video of Alissa’s lecture is available to view in the event page.
The National Child Development Study (NCDS) turned 60 years old in March 2018. We organised a special scientific conference to celebrate this anniversary.
As part of this year’s ESRC Festival of Social Science, this breakfast seminar presented the most recent findings on the state of mental health and wellbeing among two important generations of Britons: those born in 2000-01, and 1989-90.
CLOSER’S 2017 conference on inequalities was an opportunity to share ideas and innovations with longitudinal researchers from across disciplines and sectors, both from the UK and abroad.
Held at the University of Manchester, this workshop gave both first-time and more experienced data users an insight into four of the UK’s internationally-renowned cohort studies run by the Centre for Longitudinal Studies (CLS).
Richard Steele
Events and Marketing Officer
Phone: 020 7911 5320
Email: ioe.clsevents@ucl.ac.uk
Important new #MillenniumCohortStudy research published today in the @TheLancet Public Health examines links betwee… https://t.co/v4XG6dNvsC
Follow us on Twitter
Our bibliography is a searchable database of published work based on our cohort studies. Search by keyword, author, date range and journal.
Data from our studies are mainly available through the UK Data Service. We run training to support researchers who are interested in using our studies in their work.
Centre for Longitudinal Studies
UCL Social Research Institute
20 Bedford Way
London WC1H 0AL
Email: clsfeedback@ucl.ac.uk
