Rajani Singh
Tenure Track Assistant Professor
Primary research areas
Where game theory meets data for societal impact
I do research at the intersection of game theory and data science, focusing on how cooperation and decision-making evolve over time. I use mathematical and economic models to study decision-making problems in areas such as sustainability, natural resource management (renewable and non-renewable), the green transition, renewable energy, and digital markets. I am also interested in practical applications in information systems. On the theoretical side, I am exploring data-informed decision-making.
My goal is to connect theory with practice by developing tools that support better policies, responsible business strategies, and social innovation in response to challenges like climate change and digitalization.