I’m a Data Scientist and PhD Candidate in Technology and Social Behaviour, a joint program in computer science and communication at Northwestern University. My research is supervised by Professor Ágnes Horvát and examines potential ways in which data science techniques from machine learning, complex networks analysis and computational social science can be harnessed for social innovation. Some examples of data science for social innovation projects that I have recently worked on include early detection of financial investments that are likely to default,1 investigating how climate change relates to social upheaval in agro-pastoral regimes,2 estimating the outcomes of plebiscites,3 and finding efficient pathways to build stable and lasting peace.4 The core premise of my work has broad implications for how modern civilisations can effectively coordinate their responses and communication strategies in high-stakes real-world challenges.
February, 2021: I presented our work on Auditing the Information Quality of News-Related Queries on the Alexa Voice Assistant at the Computation + Journalism Symposium 2021: Data Journalism in an Expanded Field
December, 2020: 2 new publications accepted at CSCW ‘21
September, 2020: I presented our work on Inferring Irrational Lending Behaviour from Implicit Herding Networks at the International School and Conference on Network Science (NetSci).
July, 2020: I presented our work on Efficient Pathways for Peace Accords Implementation at the 6th International Conference on Computational Social Science (IC2S2).
June, 2020: I presented our work on Harnessing Collective Intelligence in P2P Lending at the ACM Collective Intelligence Conference.