Aasli Abdi Nur

Aasli Abdi Nur

Postdoctoral Research Fellow in Computational Demography

University of Oxford

Biography

Aasli Abdi Nur, PhD, MPH, is a Postdoctoral Research Fellow in the Department of Sociology at the University of Oxford specializing in Computational Demography. She currently works on the Connecting Generations project with Professor Ridhi Kashyap, studying demographic changes and their implications for kinship and intergenerational overlap, care, and support. In addition to her departmental appointment, she is also a Non-Stipendiary Research Fellow at Nuffield College.

Aasli’s research uses computational and demographic methods explore two main areas of interest. The first focuses on the use individual-level modelling approaches to study gender, fertility, and family dynamics across the life course. The second examines epistemic inequalities in the production and dissemination of scientific knowledge and their impact on demographic research.

Prior to joining Oxford, Aasli worked as a Research Scientist in the Institute for Disease Modelling at the Bill & Melinda Gates Foundation. She received her PhD in Sociology from the University of Washington, where she served as a graduate fellow with the Center for Studies in Demography and Ecology. Aasli holds an MPH from the Rollins School of Public Health at Emory University and a BA from Washington University in St. Louis.

Her work has been published in the Journal of Global Health, BMJ Global HealthWomen and Birth, and the International Journal of Social Research Methodology.

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Interests
  • Gender
  • Kinship
  • Fertility
  • Population Dynamics
  • Computational Demography
Education
  • PhD in Sociology, 2024

    University of Washington

  • MPH in Global Health, 2017

    Emory University Rollins School of Public Health

  • BA in Anthropology and Arabic, 2013

    Washington University in St. Louis

Skills

Research
Evaluation
Data Analysis

Recent Publications

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(2024). Who actualizes postpartum contraceptive intentions? A trajectory cluster analysis.. Reproductive Health.

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(2023). Bibliometric Analysis of Published Literature on the Determinants of Family Planning.

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(2023). Managing and Minimizing Online Survey Questionnaire Fraud: Lessons from the Triple C Project. International Journal of Social Research Methodology.

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(2022). Drivers of COVID-19 policy stringency in 175 countries and territories: COVID-19 cases and deaths, gross domestic products per capita, and health expenditures. Journal of Global Health.

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(2021). Behaviour adoption approaches during public health emergencies: implications for the COVID-19 pandemic and beyond. In BMJ Global Health.

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(2018). Social resources and Arab women's perinatal mental health: A systematic review.

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(2018). Human and economic resources for empowerment and pregnancy-related mental health in the Arab Middle East.

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