Ferran is a Professor and ARC Future Fellow at Griffith University. Ferran has extensive expertise in elections, electoral integrity, political parties and electoral behaviour. His work combines quantitative and qualitative research approaches. His institutional experience includes roles at the University of Sydney’s Electoral Integrity Project and at the Centro de Investigaciones y Docencia Economicas (CIDE) in Mexico City.

He has published in world-leading political science journals such as Political Studies, European Journal of Political Research, Electoral Studies, or Environmental Politics. He currently holds a Future Fellowship on Resilient elections: How to Strengthen Our Democracies and a Linkage project on informal voting in collaboration with the Electoral Commission of Queensland

Max is a Senior Lecturer at Griffith University. He contributes specialist expertise on public trust, digital information environments, and the effects of information disorder on citizens’ confidence in political institutions. His research, published in leading journals such as Comparative Political Studies, Information, Communication & Society, Policy & Internet, and Political Communication, examines how mis- and disinformation undermine public confidence in elections and identifies strategies election management bodies can use to mitigate these effects.

Max has pioneered computational text analysis and advanced quantitative approaches for studying political communication and has advocated for open science principles in political science, including in Proceedings of the National Academy of Sciences. He currently co-leads an ARC-funded Discovery Project on Mapping & Harnessing Public Mistrust. He is a member of the Electoral Integrity Project‘s International Advisory Board, of which Ferran is also a member, and one of 200 founding affiliates of the International Panel on the Information Environment.

Anurug is a Research Fellow at Griffith University. He provides complementary strengths, combining qualitative and quantitative approaches with computational methods, including natural language processing (NLP) and machine learning, to study electoral and democratic resilience, among other topics.

His research has appeared in International Journal of Disaster Risk Reduction, Environmental Research Letters, Conflict, Security & Development, and International Peacekeeping, demonstrating applied expertise in computational and mixed-methods research on elections, conflict, and crisis governance through internationally funded projects supported by the Australian Research Council, the Department of Foreign Affairs and Trade (DFAT), the British Academy, and UNDP.