Nora Kirkizh

Nora Kirkizh is a computational social scientist and quantitative researcher who is currently working as a Consultant in Survey Research at Altman Solon.1 She is in the final stages of completing her PhD in Political Science at the Technical University of Munich (TUM) in Germany.2

Academic Background

Nora's academic focus is on computational social science, which combines methods from computer science, statistics, and social sciences to analyze complex social phenomena.2 Her research interests and expertise likely involve using advanced quantitative methods to study political and social issues.

Professional Experience

As a Consultant in Survey Research at Altman Solon, Nora likely applies her quantitative skills and computational social science background to design, conduct, and analyze surveys for various clients. This role allows her to bridge the gap between academic research and practical applications in the business world.

Research and Publications

Nora has an established presence in the academic community, with a Google Scholar profile that showcases her publications and citations in the field of computational social science.3 Her work is likely contributing to the growing body of knowledge at the intersection of technology, data science, and social research.

Skills and Expertise

Given her background and current role, Nora's skills likely include:

• Advanced statistical analysis
• Survey methodology
• Data science and machine learning techniques
• Programming (possibly in languages like R or Python)
• Research design and implementation

Nora Kirkizh's unique combination of academic research and practical consulting experience positions her as a valuable professional in the field of computational social science and quantitative research.