Summary
David Laniado is a Senior Research Scientist based in Barcelona with 11 years of experience applying computational social science and social network analysis to online communities, controversies, and participatory democracy. He leads data-driven research at Eurecat’s Big Data Analytics group and has a track record of translating academic insight into applied tools and teaching, having lectured on Big Data Analytics and Social Network Analysis. His PhD from Politecnico di Milano focused on the social production of knowledge in online communities, and his earlier work includes investigations into Wikipedia discussion networks and Twitter hashtag semantics. Known for blending rigorous network methods with practical analyses of online discussion dynamics, he uncovers interaction patterns that inform moderation, civic engagement, and platform design. A subtle strength is his longevity in the field—moving from intern roles at global labs to senior research leadership—demonstrating both deep domain expertise and sustained applied impact.
11 years of coding experience
7 years of employment as a software developer
100/100L, Maturità classica, 100/100L, Maturità classica at Liceo Classico Giosuè Carducci - Milano
110/110L, Computing Systems Engineering, 110/110L, Computing Systems Engineering at Politecnico di Milano
Italian, English, Spanish, Catalan, French