Ridhi is associate professor of social demography at the University of Oxford and professorial fellow of Nuffield College. She is the Principal Investigator of the Digital Gender Gaps project. Her research spans different areas of demography and sociology. As a part of the Digital Gender Gaps project, she along with her collaborators are studying gender inequalities in internet and mobile use and their implications for other types of social inequalities. Her other research is on topics such as son preference, prenatal sex selection and gender gaps in health and mortality, and the effects of educational expansion on marriage and family change. Her methodological interests focus on how computational innovations both in terms of modelling approaches and digital data from web and social media platforms can be applied to study social and demographic phenomena. She is especially interested in how big data can be used to measure and monitor sustainable development goals.
Ingmar Weber is the Research Director for Social Computing at the Qatar Computing Research Institute (QCRI). His interdisciplinary research looks at what online user-generated data can tell us about the offline world and society at large. He works with sociologists, political scientists, demographers and medical professionals to address topics ranging from digital gender gaps, to lifestyle diseases to improving population statistics. Prior to joining QCRI, Ingmar Weber was a researcher at Yahoo Research Barcelona where he pioneered the use of Big Data to monitor international migration.
Masoomali is a research assistant at the Social Computing group of the Qatar Computing Research Institute (QCRI). His research is focused on the use of social media advertising data to augment traditional statistical sources for monitoring development goals. His involvement with the Digital Gender Gaps project began in the summer of 2017 when he visited QCRI as part of Princeton University’s International Internships Program. He completed his undergraduate studies at Princeton University in 2018 where he majored in Operations Research with certificates (minors) in Statistics & Machine Learning and Applications of Computing.
Ian is the LCDS data engineer with an academic background and wide-ranging experience in industry. He has development experience in most major languages and has worked on projects that range from embedded device firmware and applications, to desktop and mobile applications, and on to full stack web server development and operations. He developed the website backend, frontend, and converted the visualisations to web formats.