Short Summary My research fields are Formal Social Epistemology and the Philosophy of Science and Technology. My future plans involve the combination of philosophical, computational, and formal tools to provide an account of digital social norms and cooperative artificial intelligence. You can read more in my research statement.
Computational Social Sciences Are Generics and Negativity about Social Groups Common on Social Media? – A Comparative Analysis of Twitter (X) Data," I. Ojea Quintana, U. Peters, [Open Access] [Synthese, 2024].
Attention and counter-framing in the Black Lives Matter movement on Twitter(third author, with Colin Klein and others) [Open Access] [Naturel Humanities & Social Sciences Communications, 2022]
Polarization and trust in the evolution of vaccine discourse on Twitter during COVID-19 (first author, with Colin Klein and others) [Open Access] [PLOS ONE, 2022]. Automated Clustering of COVID'19 anti-vaccine discourse on Twitter(first author, with Marc Cheong) [Arxiv, 2022].
The affiliative use of emoji and hashtags in the Black Lives Matter movement: A Twitter case study(third author, with Mark Alfano and others) [Open Access] [Social Science Computer Review, 2021].
Philosophy of Science
The Coordination Dilemma for Epidemiological Modelers(first author, with Sarita Rosenstock and Colin Klein) [Preprint] [Biology and Philosophy, 2021]
Ethics of Autonomous Decision Making
Stochastic Policies in Morally Constrained (C-)SSPs (third author, with Charles Evans, Sylvie Thiebaux, Claire Benn and Pamela Robinson), [Preprint] [Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022].
The structural collapse approach reconsidered[Preprint] Análisis Filosófico, 2012] (a response to Roy T. Cook)
Works in Progress
Women, Life, Freedom on Twitter: Anecdotal language and social memory In this paper we are examining the discourse and network dynamics of the Women, Life, Freedom protests on Twitter. Our working hypothesis focuses on the distinctive use of anecdotal and generalizable semantic expressions, which are tied with different types of memories.
Towards empirical robustness in network epistemology In this paper we simulate the social learning process of a community of scientists and we use citation and coauthoring real life networks to as a baseline. This significantly contrasts with other approaches in the field. We present new (debunking) results, and discuss what it means for a result to e empirically robust.
The Technological Disruption of Epistemic Authorities Social media has been blamed for the increasing distrust in the sciences . More generally, the sometimes difficult interactions between scientific and democratic practices has been disrupted by this new technology. This paper argues that in order to properly understand and find guidance in dealing with these issues, a broader philosophy of technology with historical perspective is needed. This is done here by building analogies with writing and the printing press. The Reinforcement of Altruistic and Spiteful Agents This essay bridges Harsanyi's Aggregation Theorem (1955, 1977) with Adam Smith moral sentiments, and makes use of the formalism to characterize altruism, spite and self-interest in line with contemporary work by Kitcher (2010). This is a departure from the traditional understanding of Harsanyi's results as defining a utilitarian social welfare function. Instead, they here provide a formalization of Smith's tripartite distinction of other-directed attitudes. Furthermore, I will emphasize the importance of the recognition of unsocial passions like spite, and how this aspect of Smith's account makes Das Adam Smith Problem even harder to solve.
Logical Consequence with Artificial Neural Nets In this paper we first discuss the possibility of doing logical inference with neural networks, building on Fodor's and Chomsky's criticism of connectionism. Second, we implement different architectures and train them with the purpose of teaching them logical inference. Finally, we present some optimistic results.