Ridhi is associate professor of social demography at the University of Oxford and professorial fellowof Nuffield College. She is the Principal Investigator of the Digital Gender Gaps project. Her researchspans different areas of demography and sociology. As a part of the Digital Gender Gaps project, she alongwith her collaborators are studying gender inequalities in internet and mobile use and their implicationsfor other types of social inequalities. Her other research is on topics such as son preference, prenatal sexselection and gender gaps in health and mortality, and the effects of educational expansion on marriage andfamily change. Her methodological interests focus on how computational innovations both in terms ofmodelling approaches and digital data from web and social media platforms can be applied to study social anddemographic phenomena. She is especially interested in how big data can be used to measure and monitorsustainable 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 theoffline world and society at large. He works with sociologists, political scientists, demographers andmedical professionals to address topics ranging from digital gender gaps, to lifestyle diseases to improvingpopulation statistics. Prior to joining QCRI, Ingmar Weber was a researcher at Yahoo Research Barcelonawhere 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 ResearchInstitute (QCRI). His research is focused on the use of social media advertising data to augment traditionalstatistical sources for monitoring development goals. His involvement with the Digital Gender Gaps projectbegan in the summer of 2017 when he visited QCRI as part of Princeton University’s International InternshipsProgram. He completed his undergraduate studies at Princeton University in 2018 where he majored inOperations 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. Hehas development experience in most major languages and has worked on projects that range from embeddeddevice firmware and applications, to desktop and mobile applications, and on to full stack web serverdevelopment and operations. He developed the website backend, frontend, and converted the visualisations toweb formats.