In for the count: Maximising trust and reliability in Australian elections

  • Vukcevic, Damjan (Primary Chief Investigator (PCI))
  • Blom, Michelle (Chief Investigator (CI))
  • Stark, Philip B. (Partner Investigator (PI))

Project: Research

Project Details

Project Description

This project aims to develop innovative approaches to identifying, measuring, and evaluating errors and purposeful intervention in the uniquely complex elections at the basis of Australian democracy. Such methods can underpin a world-class election auditing system, which contends with the risks that are emerging at the intersection of election digitisation, cybersecurity and foreign interference. The project’s expected outcomes are new auditing methods, tested on real Australian election data, with their benefits quantified against global best practice. The research outputs should help reinforce the community’s trust in Australian elections, which are a foundation for our security, social cohesion, and political resilience.
Effective start/end date25/07/2224/07/25


  • Australian Research Council (ARC): A$405,000.00
  • Risk-limiting audits for Condorcet elections

    Blom, M., Stuckey, P. J., Teague, V. & Vukcevic, D., 2024, Financial Cryptography and Data Security - FC 2023 International Workshops: Voting, CoDecFin, DeFi, WTSC Bol, Braˇc, Croatia, May 5, 2023 Revised Selected Papers. Essex, A., Matsuo, S., Kulyk, O., Gudgeon, L., Klages-Mundt, A., Perez, D., Werner, S., Bracciali, A. & Goodell, G. (eds.). Cham Switzerland: Springer, p. 79-94 16 p. (Lecture Notes in Computer Science; vol. 13953).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Adaptively Weighted Audits of Instant-Runoff Voting Elections: AWAIRE

    Ek, A., Stark, P. B., Stuckey, P. J. & Vukcevic, D., 2023, Electronic Voting: 8th International Joint Conference, E-Vote-ID 2023, Proceedings. Volkamer, M., Duenas-Cid, D., Rønne, P., Ryan, P. Y. A., Budurushi, J., Kulyk, O., Rodriguez Pérez, A. & Spycher-Krivonosova, I. (eds.). 1st ed. Cham Switzerland: Springer, p. 35-51 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14230 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

    Open Access