Alex is a Research Associate in AI Risk and Foresight in the AI:FAR research project, a Research Fellow at Clare Hall and an incoming UKRI Policy Fellow in the Department for Science, Innovation and Technology. He works on collective decision-making and argumentation, forecasting and foresight techniques, AI risk and policy. He is also Principal Investigator of the "Measuring the Quality of Collective Reasoning" project, funded by the British Academy (July 2023 - December 2024). Before joining CSER, he worked on structured expert elicitation techniques for predicting the reliability of research in the social & behavioural sciences (the repliCATS project) and on decision-support tools for measuring and improving the quality of argumentation in intelligence reports (the SWARM project).
You can find out more about Alex’s research interests and outputs on his personal webpage: http://alexandrumarcoci.com/.
Big STEM collaborations should include humanities and social science
Predictable Artificial Intelligence
Paper by Lexin Zhou, Pablo A. Moreno-Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alex Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo
Predicting and reasoningabout replicability usingstructured groups
Paper by Bonnie Wintle, Eden T. Smith, Martin Bush, Fallon Mody, David P. Wilkinson, Anca M. Hanea, Alex Marcoci, Hannah Fraser, Victoria Hemming, Felix Singleton Thorn, Marissa F. McBride, Elliot Gould, Andrew Head, Daniel G. Hamilton, Steven Kambouris, Libby Rumpff, Rink Hoekstra, Mark A. Burgman, Fiona Fidler
The Next Generation Event Horizon Telescope Collaboration: History, Philosophy, and Culture
Paper by Peter Galison, Juliusz Doboszewski, Jamee Elder, Niels Martens, Abhay Ashtekar, Jonas Enander, Marie Gueguen, Elizabeth A. Kessler, Roberto Lalli, Martin Lesourd, Alex Marcoci, Sebastián Murgueitio Ramírez, Priyamvada Natarajan, James Nguyen, Luis Reyes-Galindo, Sophie Ritson, Mike D. Schneider, Emilie Skulberg, Helene Sorgner, Matthew Stanley, Ann C. Thresher, Jeroen Van Dongen, James Weatherall, Jingyi Wu, Adrian Wüthrich
Predicting reliability through structured expert elicitation with the repliCATS (Collaborative Assessments for Trustworthy Science) process
Paper by Hannah Fraser, Martin Bush, Bonnie Wintle, Fallon Mody, Eden T. Smith, Anca M. Hanea, Elliot Gould, Victoria Hemming, Daniel G. Hamilton, Libby Rumpff, David P. Wilkinson, Ross Pearson, Felix Singleton Thorn, Raquel Ashton, Aaron Willcox, Charles T. Gray, Andrew Head, Melissa Ross, Rebecca Groenewegen, Alexandru Marcoci, Ans Vercammen, Timothy H. Parker, Rink Hoekstra, Shinichi Nakagawa, David R. Mandel, Don van Ravenzwaaij, Marissa McBride, Richard O. Sinnott, Peter Vesk, Mark Burgman, Fiona Fidler