Rajani Singh
Tenure Track Assistant Professor
Om
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.
Publications
See all publications2025
Fish Species Identification on Low Resolution
A Study With Enhanced Superresolution Generative Adversarial Network (ESRGAN), YOLO and VGG-16
Go to publication2025
From Context to Aesthetic
A Nordic Perspective on Data Studies In Information Systems
Olivia Benfeldt, Tenure Track Assistant Professor
Anika Schröder, Postdoc
Sine Zambach, Tenure Track Assistant Professor
Rajani Singh, Tenure Track Assistant Professor
Maren Gierlich-Joas, Tenure Track Assistant Professor
oktober 2024
Counteracting “The Tragedy of the Commons” in an Imperfect World
Agnieszka Wiszniewska-Matyszkiel
Rajani Singh, Tenure Track Assistant Professor