Jesse Dodge
Description: Lecturer in Business Analytics
I am a Lecturer (Assistant Professor) in Business Analytics at Queen Mary University of London, School of Business and Management , and a Fellow of the Software Sustainability Institute . My background is interdisciplinary. I hold a DPhil in Development Studies from the University of Oxford (Oxford Department of International Development), where I was also affiliated with the network science group at the Mathematical Institute, and I held a lectureship position in Computational Social Science at the Univers
My research combines computational methods from social data science and network analysis with approaches from reproducible research and metascience to study the transparency, reproducibility, bias, and social impact of data-intensive research, with a current focus on evaluating and improving the transparency and reproducibility of applications of data science, artificial intelligence, and machine learning in the social and health sciences. In another stream of research, I use computational social science an
I teach data science with an emphasis on open reproducible research and responsible analysis of real-world data. My open learning materials on Reproducible Data Science provide an accessible introduction to open-source research software, reproducible workflows (with Jupyter Notebook), hands-on coding (with Python and Markdown), and data science techniques and skills necessary to perform open, reproducible, and ethical data analysis.
Jesse Dodge