Lisette Espín-Noboa

I'm a Visiting Professor at the Institute of Human-Centred Computing at the Graz University of Technology (TU Graz) where I teach computational scientific programming and methods to measure inequality and fairness in social networks. I'm also a senior postdoc at the Algorithmic Fairness and Network Inequality group at the Complexity Science Hub (CSH) in Vienna, and at the Department of Network and Data Science at Central European University (CEU). 

My research interests lie within Computational Social Science at the intersection between Network Science and Artificial Intelligence for Social Good with special focus on the UN Sustainable Development Goals (SDGs). 

At CSH, I'm working with Fariba Karimi on redefining fairness by considering social networks and social capital. Our aim is to understand under which conditions network biases or inequalities are acceptable or deemed unfair in network-based decision-making processes  (SDGs: 5, 10, 16).

At CEU, I'm working with Márton Karsai and János Kertész on producing high-resolution poverty maps by inferring the distribution of wealth across sub-populations (rural/urban and rich/poor) using multi-modal data (e.g., satellite images and mobility networks) and transferable models. (SDGs: 1, 3, 11)

Previously, I was a research assistant at the Computational Social Science department at GESIS. During this time, I worked on my Ph.D. where I investigated the effects of network structure on ranking, network inference, and human navigation. I worked with my supervisors Claudia Wagner and Markus Strohmaier, and colleagues Fariba Karimi, Florian Lemmerich and Philipp Singer.