Department of Political Science


Memta Ramchand Jagtiani

Senior Post Graduate Teaching Assistant in Quantitative Research Methods
1-19, Torrington Place
Email: memta.jagtiani.15@ucl.ac.uk



Memta Jagtiani is a PhD candidate at UCL’s Department of Epidemiology and Public Health. She holds a BSc in Population Health from UCL. Her current PhD research is an extension of her final year undergraduate dissertation, where she won the Best Dissertation Award in her faculty. Alongside her PhD, Memta also works as a Postgraduate Teaching Assistant in the Department of Political Science, where she teaches Data Analysis and Quantitative Research Methods using R to undergraduate students. She has also worked as a Connected Learning Intern for the Institute of Epidemiology and Health Care during Summer 2020 to support the changes required with moving activities online for 2020/21 and to help ensure that students have the best experience at UCL. For example, she created a Moodle page with induction activities and resources for research students to navigate their PhD journey. Memta is also a People’s Choice Winner for the UCL 3 Minute Thesis Competition in 2020 and a Faculty Medal Winner in her undergraduate cohort in 2017/18 (Faculty of Population Health Sciences). Besides her academic pursuits, Memta loves dancing. She was in the Bachata Dance Competition Team in UCL Salsa Society and she competed in the Birmingham Latin Dance Competition in February 2020, where her team received a special mention.

PhD Title

#StateOfMind: How Do Family Structure and Family Belonging Influence the Relationship Between Social Media Use and Mental Health and Well-Being Among Youth in the UK, the Netherlands and South Korea? 

Short Abstract

Memta’s research, under the supervision of primary supervisor Dr Shaun Scholes and secondary supervisors Prof Nicola Shelton and Prof Yvonne Kelly, explores the relationship between social media use and mental health and well-being among young people in different countries, with a focus on how family factors such as family structure and sense of family belonging affect this relationship. She conducts secondary data analyses on three longitudinal panel studies: the UK Household Longitudinal Study, the Longitudinal Internet Studies for the Social Sciences Panel and the Korean Children and Youth Panel Survey.
Her interest in social media use and young people's mental health and well-being stems from being an avid social media user herself and her interest in and commitment to mindfulness. Being able to relate to how children and adolescents use social media makes her research all the more enjoyable.

Research groups
  • Epidemiology and Public Health 
  • Social Media Use and Cyberpsychology 
Research Themes
  • Social Media; Mental Health and Well-Being
  • Family Structure and Family Belonging