University of Cambridge
2023
Researcher
About the project
I am a research student at the University of Cambridge, on a merit scholarship, focusing on Computational Economics with Professor Cassese. Together with his PhD assistant, we study the intersection of economics and advanced computational methods. We explore how economic systems interact with computational techniques to gain insights into economic and global markets. Our study aims to uncover patterns and forces that impact the world economy.
Our research project centres on the Gangetic belt in India, where we investigate high gall bladder cancer rates among rural women. Using network sciences, we analyse the connections between this health issue and the broader economy. Through this study, we aim to understand the relationship between women's health challenges and economic dynamics.
My role
Constructing Social Networks
Creating Healthcare Facility Networks
Agent-Based Modeling (ABM)
Studying Information Diffusion
Machine Learning Models
Causal Inference Techniques
Analysing relationships among individuals, healthcare providers, and community leaders. Uses centrality measures to identify influential entities.
Analysing accessibility and connectivity of healthcare services. Utilising distance-based metrics and flow-based algorithms.
Developing models to simulate individual and organisational behaviour. Examines how actions propagate through networks, impacting health and economic outcomes. Applies community detection algorithms to identify regional variations.
Analysing the spread of knowledge or interventions among individuals and communities. Utilising models like the Bass diffusion model to understand behavior changes.
Training models to predict future health and economic indicators. Uses regression, neural networks, or graph neural networks for predictions.
Applying techniques like propensity score matching to estimate causal relationships. Accounts for network effects in analysing health interventions and economic outcomes.
By employing these computational models and extensive data, we intend to provide insights for informed interventions and policies in the realm of healthcare policy and schemes, increased testing, financial planning and healthcare access
Intensive Computational Economics and Network Science sessions with Professor Daniele Cassese. In-depth exploration of research papers, theory, and computation tools in various languages and platforms.
This research position grants me an extraordinary platform to be at the forefront of transformative research in both Economics and public health with a multidisciplinary approach. This is a study that helps women all across India gain a better understanding of underlying health issues and increase preventiveness and attentiveness in healthcare.