Dr Philip Powell, Research Fellow in the Institute for Economic Analysis of Decision-making (InstEAD) gave evidence to an inquiry examining the ‘impact of cyberbullying on social media on children and young people’s mental health’ convened by The Children’s Society and Young Minds.

Philip was part a panel that was made up of experts from academia, technology and online safety and children and education specialists who gave evidence to a committee chaired by Alex Chalk, MP for Cheltenham.

He provided expert opinion on the definitions and nature of cyberbullying; the current academic evidence supporting a directional link between increased cyberbullying and negative mental health outcomes, over and above traditional (offline) victimisation; and the role social media has in these processes.

The findings from the inquiry will be published in a report in 2018, which will contain policy recommendations on what more industry should be doing to tackle cyberbullying on social media sites and its associations with mental health.

Dr Powell was invited to give evidence following research that he and a team of Sheffield researchers found that children who spend more time social networking online feel less happy with a number of different aspects of their lives, and that this effect was worse for those who reported having been bullied.

Find out more about the cyberbullying inquiry

 

InstEAD affiliate Aki Tsuchiya, with input from InstEAD Research Fellow Philip Powell and the Government Work and Health Unit’s Mark Langdon, has led a novel knowledge exchange project into public preferences for access to cognitive behavioural therapy (CBT) by employment status, funded by the University of Sheffield Social Sciences Partnerships, Impact and Knowledge Exchange (SSPIKE) Knowledge Exchange and Impact Opportunities Scheme (KEIO).

The work utilises stated preference methodology to provide estimates of public preferences for access to CBT in terms of degree of preference asymmetry in favour of the employed or unemployed and degree of preference for equality of access for equal medical need. This knowledge will help organisations, such as the Work and Health Unit, to better understand what members of the public support in terms of the allocation of services.

The work has been presented to the Work and Health Unit, Caxton House, London on 4th May 2017, the Health Economists’ Study Group (HESG) Summer Meeting, University of Aberdeen, 28-30th June 2017, and most recently as a Sheffield Solutions seminar at the Department for Work and Pensions, Rockingham House, Sheffield on 27 July 2017.

 

 

InstEAD researchers and affiliates presented work at the annual Understanding Society Scientific Conference at the University of Essex, 11-13th July 2017.

Emily McDool presented the paper ‘Social Media Use and Children’s Wellbeing’, co-authored with Philip Powell, Jennifer Roberts, and Karl Taylor.

Karl Taylor presented the paper ‘Saving Behaviour, Expectations and Future Financial Hardship’, co-authored with Sarah Brown.

Mark Bryan is a co-author on the paper ‘Employment to Unemployment Transitions and Wellbeing – Unpacking Gender Differences’ presented by Alita Nandi as part of their work for the What Works Centre for Wellbeing.

 

InstEAD affiliate Daniel Gray presented work at the 31st Annual Conference of the European Society for Population Economics (ESPE), held at the University of Strathclyde, Glasgow, 14-17th June 2017. Daniel presented the paper ‘Saving Behaviour and Biomarkers: A High-Dimensional Bayesian Analysis of British Panel Data’, co-authored with Sarah Brown and Jennifer Roberts.

 

InstEAD affiliate Steven McIntosh gave recent seminars at the Economic and Social Research Institute, Dublin on the 11th May 2017 and Queen’s Management School, Queen’s University, Belfast on the 12th May 2017 on ‘Vocational Skills, Polarisation and Job Progression from Entry-Level Jobs’. Steven also presented his work at the Department for Education on the 20th June 2017, presenting the paper ‘Reconciling Estimated Returns to Vocational Qualifications Obtained Using Survey and Admin Data’.