Lisette Espín-Noboa

I'm a postdoc at the 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 defining notions of fairness for social networks. The idea is to understand under which circumstances network biases or inequalities are acceptable or 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). (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.