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Joseph Lizier - Presentations

Home > Presentations

• YouTube lecture series
• Invited seminars
• Internal/other seminars
• Conference posters
• Teaching/Guest lectures
• Discussion presentations on other author's work

YouTube lecture series

• Information theory and self-organisation -- a course on theory and empiricial analysis using the JIDT software (12 modules, made up of ~40 x 5-15 min lectures); slides available

Conference/workshop presentations

• 3/6/2025 - (invited tutorial) - J. T. Lizier, "Inferring network models from multivariate time-series data: Philosophy, approaches and considerations", presented at NetSci 2025, Maastricht.
• 5/6/2025 - J. T. Lizier, "Analytic relationship of relative synchronizability to network structure and motifs", presented at NetSci 2025, Maastricht.
• 29/9/2023 - (keynote) - J. T. Lizier, "Analytic relationship of synchronizability to network structure and motifs", presented at Centre for Complex Systems Emerging Aspirations workshop, The University of Sydney.
• 8/6/2023 - (invited presentation) - J. T. Lizier, "Pointwise and component-wise views on Information Decomposition", presented at Decomposing multivariate information in Complex Systems (DEMICS), Dresden.
• 24/10/2022 - (invited presentation) - J. T. Lizier, "Enabling tools to model information processing in brains", presented at Rethinking Computational Approaches to the Mind, online. Watch on YouTube.
• 17/7/2022 - (keynote) - J. T. Lizier, "Enabling tools to model information processing in brains", keynote at Organization for Computational Neuroscience Annual Meeting (CNS*2022), Melbourne. Watch on YouTube.
• 20/7/2022 - J. T. Lizier, "Analytic relationship of information processing and synchronizability to network structure and motifs", presented at Workshop on Methods of Information Theory in Computational Neuroscience, at CNS*2022, Melbourne.
• 18/5/2022 - (invited presentation) - J. T. Lizier, "Analytic relationship of information processing and synchronizability to network structure and motifs", presented at Mathematical Concepts in the Sciences and Humanities: A conference in honor of Jüregen Jost's 65th birthday, Leipzig. Watch the video online.
• 8/10/2020 - (invited presentation) - J. T. Lizier, "Universalities in Intrinsic Information Processing Properties Around Criticality in Many Systems?", presented at Brain Criticality Virtual Workshop. Watch on Videopress
• 19/7/2020 - (tutorial) - L. Novelli and J. T. Lizier, "Information theory and directed network inference (using JIDT and IDTxl)", presented at Organisation for Computational Neuroscience Annual Meeting 2020 (CNS*2020), online.
• 5/12/2019 - (invited tutorial) - J. T. Lizier, "Using information theory for empirical analysis of complex systems using JIDT", presented at Complexity, Criticality and Computation Symposium and Camp (C3-2019), The Unviersity of Sydney.
• 3/10/2019 - (invited presentation) - J. T. Lizier, "What can quantifying information processing tell us about ... flocks?", presented at Workshop on Information Processing in Complex Systems, satellite workshop of Conference on Complex Systems, Singapore.
• 2/10/2019 - (invited presentation) - J. T. Lizier, "Using information processing features to understand neural properties", presented at Workshop on Machine Learning and Modeling for Complex Systems, satellite workshop of Conference on Complex Systems, Singapore.
• 2/10/2019 - (invited presentation) - J. T. Lizier, "Universalities in Intrinsic Information Processing Properties Around Criticality in Many Systems?", presented at Workshop on Nonequilibrium Thermodynamics of Complex Agents: Information Processing From Nanophysics to Life, satellite workshop of Conference on Complex Systems, Singapore.
• 2/10/2019 - J. T. Lizier, "Pushing the boundaries in effective network inference", presented at Workshop on Extracting and Analyzing Networks from Spatio-Temporal Data, satellite workshop of Conference on Complex Systems, Singapore. See this longer version.
• 30/9/2019 - J. T. Lizier, "Interpreting transfer entropy in modelling information flows in complex systems", presented at Conference on Complex Systems, Singapore.
• 9/3/2019 - (invited presentation) - J. T. Lizier, "Using Information Processing Features To Understand Neural Properties", presented at First Australian congress of the Society for Artificial Intelligence in Medicine, Surgery and Healthcare (AMSAH 2019), Westmead Hospital. See also longer slides from similar presentation
• 21/1/2019 - (invited tutorial) - J. T. Lizier, "Introduction to information theory", presented at Online Winter School on Spectral Methods for Complex Systems.
• 10/1/2019 - (invited presentation) - J. T. Lizier, "Emergence and information processing in complex systems", presented at 7th Earth-Life Science Symposium 2019, Tokyo. Watch on Youtube
• 11/12/2018 - (invited presentation) - J. T. Lizier, "Effective network inference using multivariate transfer entropy and IDTxl", presented at The many flavors of effective connectivity: from neuronal cultures to fMRI, workshop at European Institute for Theoretical Neuroscience, Paris.
• 27/11/2018 - (invited presentation) - J. T. Lizier, "Empirical analysis of information content and flows in neural data using JIDT", presented at 11th Australasian Workshop on Neuro-Engineering and Computational Neuroscience (NeuroEng 2018), Sydney.
• 26/7/2018 - (invited presentation) - J.T. Lizier, "A Critique of A Critique of Transfer Entropies. Or: Untangling concepts of information transfer, storage, causality, unique and synergistic effects", presented at Causality and Information Flow, satellite workshop of International Conference on Complex Systems (ICCS 2018), Boston, USA.
• 18/7/2018 - J.T. Lizier, "Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices", presented at Workshop on Methods of Information Theory in Computational Neuroscience, satellite meeting of Annual Meeting of the Organization for Computational Neuroscience (CNS*2018), Seattle, USA.
• 13/12/2017 - J. T. Lizier, "What can information dynamics tell us about ... brains", presented at the Complexity, Criticality and Computation (C^3-2017) Biannual Symposium, University of Sydney.
• 27/11/2017 - (tutorial) - J. T. Lizier, "JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", presented at IEEE Symposium Series on Computational Intelligence, Hawaii.
• 21/11/2017 - (keynote) J.T. Lizier, "Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices", 4th International Electronic Conference on Entropy and Its Applications (ECEA-4), Nov 21, 2017. Watch on YouTube
• 20/7/2017 - J. T. Lizier, "An estimator for transfer entropy between spike trains", presented at Workshop on Methods of Information Theory in Computational Neuroscience, satellite meeting of Annual Meeting of the Organization for Computational Neuroscience (CNS*2017), Antwerp, Belgium.
• 20/4/2017 - J.T. Lizier, "Transfer entropy in continuous time, with applications to jump and neural spiking processes", Brain Twitter conference 2017.
• 2/3/2017 - J. T. Lizier, "Differentiating information transfer and causal effect. Or: why you should be interested in more than causality", presented at MuST 10: Causation and Complexity; 10th Munich-Sydney-Tilburg Conference in the Philosophy of Science, University of Sydney.
• 1/2/2017 - (invited presentation) - J. T. Lizier, "What can information dynamics tell us about the brain", presented at Network of Mind workshop, University of Sydney.
• 7/7/2016 - J. T. Lizier, "Estimating information transfer between spike trains", presented at Workshop on Methods of Information Theory in Computational Neuroscience, satellite meeting of Annual Meeting of the Organization for Computational Neuroscience (CNS*2016), Jeju Island, South Korea.
• 15/12/2015 - J. T. Lizier, "Increase in information processing capacity with approach to criticality in developing neural networks", presented at Systems and Computational Neuroscience Down Under (SCiNDU) 2015, The University of Queensland, Brisbane. (to be posted ...)
• 2/12/2015 - (tutorial) - J. T. Lizier, "Information theory" and "Information dynamics and JIDT", presented at Complexity, Criticality and Computation (C3) Research Camp, The University of Sydney.
• 23/07/2015 - J. T. Lizier, "Local active information storage as a tool to understand distributed neural information processing", presented at Workshop on Methods of Information Theory in Computational Neuroscience, at 24th Annual Computational Neuroscience Meeting (CNS*2015), Prague.
• 20/07/2015 - (tutorial) - J. T. Lizier, "JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", presented at European Conference on Artificial Life (ECAL 2015), York, UK.
• 20/07/2015 - J. T. Lizier, "What information dynamics can tell us about artificial life systems", presented at Information Theory in Artificial Life Workshop, Satellite of 13th European Conference on Artificial Life (ECAL 2015), York, UK. (download a related presentation)
• 23/02/2015 - J. T. Lizier, "A short introduction to JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", presented at Complexity, Criticality and Computation, Workshop (C³-Summer 2015), Sydney. (see later updated presentation here)
• 5/02/2015 - (tutorial) - J. T. Lizier, "JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", presented at Australian Conference on Artificial Life and Computational Intelligence (ACALCI 2015), Newcastle. (see later updated presentation here)
• 30/06/2014 - (invited presentation) - M. Wibral, J. T. Lizier, S. Voegler, V. Priesemann and R. Galuske, "Local active information storage in distributed cortical information processing", presented at Integrative Neuroscience Workshop, Melbourne. (see conference presentation 2/2/14 below)
• 11/04/2014 - M. Wibral, J. T. Lizier, S. Voegler, V. Priesemann and R. Galuske, "Local active information storage in distributed cortical information processing", presented at Neural Computation, Complexity, and Computational Intelligence (NC³I), Sydney. (see conference presentation 2/2/14 below)
• 24/02/2014 - (invited presentation) - J. T. Lizier, "Information dynamics in space-time in complex systems", presented at the Beyond Centre's Workshop on Information, Complexity and Life, Arizona State University, Phoenix.
• 02/02/2014 - (best ECR presentation award) - M. Wibral, J. T. Lizier, S. Voegler, V. Priesemann and R. Galuske, "Local active information storage in distributed cortical information processing", presented at Australian Workshop on Computational Neuroscience (NeuroEng 2014), Adelaide.
• 02/09/2013 - J. T. Lizier, "Multivariate information theory reveals directed information structure in fMRI data", presented at CSIRO Big Data Workshop 2.0, Sydney.
• 18/07/2013 - J. T. Lizier, "Analytic relationship of synchronizability and computational properties to network structure and motifs", presented at Network neuroscience: structure and dynamics, satellite workshop of CNS*2013, Paris.
• 17/04/2013 - (best paper award) - J. T. Lizier, B. Flecker, P. L. Williams, "Towards a synergy-based approach to measuring information modification", presented at IEEE Symposium on Artificial Life (IEEE ALife), Singapore.
• 27/02/2013 - J. T. Lizier, M. Rubinov, "Multivariate construction of effective computational networks from observational data", presented at the Workshop on Information Processing in Cognition (IPCog-2013), Sydney.
• 28/09/2012 - J. T. Lizier, F. Bauer, F. M. Atay, and J. Jost, "Analytic relationship of synchronizability and computational properties to network structure and motifs", presented at the Fifth International Workshop on Guided Self-Organization (GSO-2012), Sydney.
• 26/04/2012 - (invited presentation) - J. T. Lizier, M. Rubinov, "Multivariate construction of effective computational networks from observational data", presented at the NeFF-Workshop on Non-linear and model-free Interdependence Measures in Neuroscience, Frankfurt.
• 30/03/2012 - J. T. Lizier, F. M. Atay, J. Jost "Information storage, loop motifs and clustered structure in complex networks", presented at the DPG Spring meeting, Berlin.
• 25/01/2012 - (invited presentation) - J. T. Lizier, "Measuring computational capabilities and information dynamics in complex systems and networks", presented at the Australian Complex Systems Summer School and Workshop, Heron Island.
• 12/08/2011 - J. T. Lizier, S. Pritam, M. Prokopenko, "Computational capabilities of small-world Boolean networks", presented at the European Conference on Artificial Life (ECAL 2011), Paris.
• 14/04/2011 - (best paper award) - R.V. Ceguerra, J.T. Lizier and A.Y. Zomaya, "Information storage and transfer in the synchronization process in locally-connected networks", presented at IEEE Symposium Series in Computational Intelligence (SSCI 2011) - IEEE Symposium on Artificial Life, Paris, 2011.
• 15/07/2010 - J.T. Lizier, D. J. Cornforth, S. Lindsay, M. Prokopenko, "The information dynamics of cascading failures in energy networks", presented at the Computation in Cyber-Physical Systems workshop (CompCPS-2010), CSIRO, Sydney, 2010.
• 24/09/2009 - J.T. Lizier, M. Prokopenko, A. Y. Zomaya, "Coherent local information dynamics in complex computation", presented at the Information, Computation and Complexity satellite meeting, University of Warwick at Coventry, UK, 2009.
• 22/09/2009 - J.T. Lizier, M. Prokopenko, D. J. Cornforth, "The information dynamics of cascading failures in energy networks", presented at European Conference on Complex Systems (ECCS 09), University of Warwick at Coventry, UK, 2009.
• 19/08/2009 - J.T. Lizier, "Information transfer in networks", presented at First International Workshop on Guided Self-Organisation (GSO-2008), Leipzig, Germany, 2009.
• 24/11/2008 - J.T. Lizier, M. Prokopenko, A. Y. Zomaya, "Coherent computation in biological networks", presented at First International Workshop on Guided Self-Organisation (GSO-2008), Sydney, Australia, 2008.
• 7/8/2008 - J.T. Lizier, M. Prokopenko, A. Y. Zomaya, "The information dynamics of phase transitions in random Boolean networks", presented at Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALifeXI), Winchester, UK, 2008.
• 7/8/2008 - J.T. Lizier, M. Prokopenko, I. Tanev, A. Y. Zomaya, "Emergence of glider-like structures in a modular robotic system", presented at Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALifeXI), Winchester, UK, 2008.
• 7/7/2008 - J.T. Lizier, "Analysing the information dynamics of flocking", presented at the From Amorphous to Spatial Computing Workshop, Paris, 2008.
• 4/12/2007 - J.T. Lizier, M. Prokopenko, A. Y. Zomaya, "Information transfer by particles in cellular automata", presented at Australian Conference on Artificial Life, Gold Coast, 2008.

Invited seminars

• 17/5/2024 - J. T. Lizier, "What can modelling information processing tell us about brains?", presented to the Causal Emergence Study Group / Swarma Club, Tsinghua University and Beijing Normal University. Watch on YouTube
• 10/10/2023 - J. T. Lizier, "Analytic relationship of synchronizability to network structure and motifs", presented at Quantum Photonics Fireside chat, online.
• 9/5/2023 - J. T. Lizier, "Analytic relationship of synchronizability to network structure and motifs", presented to Max Planck Institute for Mathematics in the Sciences, Leipzig.
• 27/4/2023 - J. T. Lizier, "Analytic relationship of information processing and synchronizability to network structure and motifs", presented to Max Planck Institute for Dynamics and Self-Organization, Goettingen.
• 4/5/2022 - J. T. Lizier, "What can modelling information processing tell us about brains?", presented to the Computational Neuroscience Laboratory, Turner Institute for Brain and Mental Health and Monash Biomedical Imaging, Monash University.
• 22/2/2019 - J. T. Lizier, "What can quantifying information processing tell us about brains?", presented at the Brain and Mind Centre, The University of Sydney.
• 13/12/2018 - J. T. Lizier, "What can information dynamics tell us about ... brains", presented at Institute for Systems Neuroscience, Aix-Marseille University.
• 25/9/2018 - J. T. Lizier, "What can information dynamics tell us about ... brains", presented to Neuri.ai and Astignes Capital, Singapore (via video).
• 24/7/2018 - J. T. Lizier, "What can information dynamics tell us about ... brains", presented at the Centre for Brains, Minds and Machines, MIT. Watch on YouTube and watch my associated interview with Dr. Wiktor Młynarski.
• 20/7/2018 - J. T. Lizier, "What can information dynamics tell us about ... brains", presented at the Systems Science group, Portland State University.
• 13/12/2016 - J. T. Lizier, "Estimating information transfer between spike trains", presented to Frankfurt Institute for Advanced Studies (FIAS).
• 7/12/2016 - J. T. Lizier, "Estimating information transfer between spike trains", presented to Max Planck Institute for Mathematics in the Sciences, Leipzig.
• 17/07/2015 - J. T. Lizier, "A short introduction to JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", presented to Max Planck Institute for Mathematics in the Sciences, Leipzig.
• 13/07/2015 - J. T. Lizier, "What is `information dynamics' and what can it tell us?", presented to Max Planck Institute for Dynamics and Self-organisation -- Bernstein Centre for Computational Neuroscience -- Universitaet Goettingen.
• 09/07/2013 - J. T. Lizier, B. Flecker, P. L. Williams, "Towards a Synergy-based Approach to Measuring Information Modification", presented to Max Planck Insitute for Mathematics in the Sciences, Leipzig.
• 18/10/2012 - J. T. Lizier, J. Heinzle, A. Horstmann, J.-D. Haynes, M. Prokopenko, "Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity", presented to Centre for Research in Complex Systems (CRiCS), Charles Sturt University.
• 19/04/2012 - J. T. Lizier, J. Heinzle, A. Horstmann, J.-D. Haynes, M. Prokopenko, "Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity", presented to Brain Mapping Unit, Department of Psychiatry, University of Cambridge.
• 26/10/2011 - J. T. Lizier, "Relating network structure to computational capabilities", presented to Brain Imaging Center, J. W. Goethe University, Frankfurt. (to be posted ...)
• 5/10/2010 - J. T. Lizier, J. Heinzle, A. Horstmann, J.-D. Haynes, M. Prokopenko, "Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity", presented to Complex Systems Group and Centre for Waves and Complex Systems, School of Physics, The University of Sydney.
• 21/10/2009 - J. T. Lizier, J. Heinzle, A. Horstmann, J.-D. Haynes, M. Prokopenko, "Directed information structure in inter-regional cortical interactions in a visuomotor tracking task", presented to Computing and Audio Research Lab (CARLab), School of Electrical Engineering, The University of Sydney. (see invited seminar 5/10/2010 above)
• 31/7/2008 - J.T. Lizier, M. Prokopenko, A. Y. Zomaya, "The information dynamics of phase transitions in random Boolean networks" (see conference presentation above, 7/8/2008), presented to The Adaptive Systems Research Group, Department of Computer Science, The University of Hertfordshire, UK.
• 18/9/2007 - J. T. Lizier, M. Prokopenko, A. Y. Zomaya, "Detecting non-trivial computation in complex dynamics" (see internal seminar below, 5/3/2008), presented to the Modeling of Biological Processes group, Bioquant, The University of Heidelberg, Germany.

Internal/other seminars

• 25/7/2025 - J. T. Lizier, "Information processing in complex systems", presented at School of Computer Science Research Showcase, The Unviersity of Sydney.
• 17/5/2025 - J. T. Lizier, "Opponent's introduction for the Ph.D. defence of Tobias Mages", presented at Uppsala University (online).
• 12/3/2024 - J. T. Lizier, "Analytic relationship of relative synchronizability to network structure and motifs", presented to Applied Maths group, School of Mathetmatics, The Unviersity of Sydney.
• 22/11/2022 - J. T. Lizier, "Enabling tools to model information processing in brains", presented to the Computational Theory group, School of Computer Science, The Unviersity of Sydney.
• 26/3/2021 - J.T. Lizier, "Analytic relationship of relative synchronizability to network structure and motifs", presented to Sydney Systems Neuroscience and Complexity seminar series, The Unviersity of Sydney.
• 4/5/2020 - J.T. Lizier, "JIDT tutorial", presented to Shine Lab, Brain and Mind Centre, The Unviersity of Sydney.
• 23/8/2018 - J.T. Lizier, "A Critique of A Critique of Transfer Entropies. Or: Untangling concepts of information transfer, storage, causality, unique and synergistic effects", presented to Journal Club of Centre for Complex Systems, The Unviersity of Sydney.
• 30/10/2017 - J.T. Lizier, M. Harre, M. Mitchell, S De Deo, C. Finn, K. Lindgren, A. L. Lizier, H. Sayama, "An interview-based study of pioneering experiences in teaching and learning Complex Systems in Higher Education", presented to Centre for Complex Systems, The Unviersity of Sydney.
• 17/10/2017 - J.T. Lizier, "My approach to innovative teaching", presented Faculty of Engineering and IT, The University of Sydney, delivered in response to receiving the Faculty Dean's Faculty Award for Outstanding Teaching Innovation in 2016.
• 19/01/2016 - J. T. Lizier, "Increase in information processing capacity with approach to criticality in developing neural networks", presented to School of Physics, The University of Sydney, 2016. (to be posted ...)
• 05/12/2011 - J. T. Lizier, "Information storage, loop motifs and clustered structure in complex networks", presented to Neural networks and cognitive systems group, Max Planck Insitute for Mathematics in the Sciences, Leipzig. (to be posted ...)
• 23/05/2011 - J. T. Lizier, "Information storage and transfer in the synchronization process in locally-connected networks", presented to Neural networks and cognitive systems group, Max Planck Insitute for Mathematics in the Sciences, Leipzig. (see 14/04/2011 conference presentation above)
• 20/12/2010 - J. T. Lizier, "Dynamic computational properties of small-world random Boolean networks", presented to Neural networks and cognitive systems group, Max Planck Insitute for Mathematics in the Sciences, Leipzig.
• 17/08/2010 - J. T. Lizier, "Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity", presented to Distributed Systems group, School of Information Technologies, The University of Sydney. (see invited seminar 5/10/2010 above)
• 29/09/2009 - J. T. Lizier, "The local information dynamics of distributed computation in complex systems" (summary), presented to Postgraduate Conference, The Faculty of Engineering, The University of Sydney.
• 5/3/2008 - J. T. Lizier, M. Prokopenko, A. Y. Zomaya, "Detecting non-trivial computation in complex dynamics", presented to CSIRO Entropy Discussion Group, Sydney.
• 13/6/2007 - J. T. Lizier, "Introduction to Cellular Automata", Tutorial given at Santa Fe Institute Complex Systems Summer School, Santa Fe NM.

Conference posters

• 18/7/2022 - D. Shorten, V. Priesemann, M. Wibral, J. Lizier, "Inferring effective networks of spiking neurons using a continuous-time estimator of transfer entropy", presented at Annual Meeting of the Organization for Computational Neuroscience (CNS*2022), Melbourne.
• 4/7/2016 - J. T. Lizier, R.E. Spinney, M. Rubinov, M. Wibral and V. Priesemann, "A nearest-neighbours based estimator for transfer entropy between spike trains", presented at Annual Meeting of the Organization for Computational Neuroscience (CNS*2016), Jeju Island, South Korea. (to be posted ...)
• 4/7/2016 - L. Rudelt, J.T. Lizier and V. Priesemann, "Influences of embedding and estimation strategies on the inferred memory of single spiking neurons", presented at Annual Meeting of the Organization for Computational Neuroscience (CNS*2016), Jeju Island, South Korea. (to be posted ...)
• 30/01/2013 - J. T. Lizier, M. Rubinov, "Inferring effective computational connectivity using incrementally conditioned multivariate transfer entropy", presented at Organization for Computational Neuroscience Meeting (CNS*2013), Paris.
• 30/01/2013 - J. T. Lizier, M. Rubinov, "Multivariate construction of effective computational networks from observational data", presented at the Australian workshop on computational neuroscience (NeuroEng 2013), Melbourne.
• 26/07/2011 - J. T. Lizier, J. Heinzle, C. S. Soon, J. -D. Haynes, M. Prokopenko, "Spatiotemporal information transfer pattern differences in motor selection", Twentieth Annual Computational Neuroscience Meeting (CNS*2011), Stockholm, Sweden.
• 24/07/2011 - M. Rubinov, J. Lizier, M. Prokopenko, M. Breakspear, "Maximized directed information transfer in critical neuronal networks", Twentieth Annual Computational Neuroscience Meeting (CNS*2011), Stockholm, Sweden.
• 19/07/2009 - J. T. Lizier, J.-D. Haynes, J. Heinzle, M. Prokopenko, "Directed information structure in inter-regional cortical interactions in a visuomotor tracking task", Eighteenth Annual Computational Neuroscience Meeting (CNS*2009), Berlin, Germany. (Poster presentation given by M. Prokopenko)
• 31/10/2008 - J. T. Lizier, "The information dynamics of phase transitions in random Boolean networks", Research Conversazione, School of Information Technologies, the University of Sydney, October 2008.
• 12/9/2007 - J. T. Lizier, M. Prokopenko, A. Y. Zomaya, "Detecting non-trivial computation in complex dynamics", European Conference on Artificial Life (ECAL) 2007, Lisbon, Portugal.

Teaching / Guest lectures

• 2017- - CSYS5030 Self-organisation and criticality - see USyd internal Canvas site.
• 2017- - CSYS5010 Introduction to Complex Systems - see USyd internal Canvas site.
• 19/9/2016 - (guest lecture) - J. T. Lizier, "Information theory", presented to COSC1003/1903 Computational Science, School of Physics, The University of Sydney.
• 3/5/2016 - (guest lecture) - J. T. Lizier, "Critical thinking in Project Innovation Management", presented to ENGG5811 Critical and Systems Thinking, School of Civil Engineering, The University of Sydney.
• 14/9/2015 - (guest lecture) - J. T. Lizier, "Information theory", presented to COSC1003/1903 Computational Science, School of Physics, The University of Sydney.
• 2015-16 - PMGT5875 Project Innovation Management - see USyd internal Blackboard site.

Presentations given on other authors' papers

• Entropy Discussion Group
  • 3/5/2006 - T. Schreiber, "Measuring Information Transfer", Physical Review Letters, vol. 85, pp. 461-464, 2000.
  • 25/6/2006 - A. S. Klyubin, D. Polani, and C. L. Nehaniv, "All Else Being Equal Be Empowered", Proceeedings of 8th European Conference on Artificial Life (ECAL 2005), Kent, UK, 2005.
  • 7/8/2006 - O. Sporns and M. Lungarella, "Evolving coordinated behavior by maximizing information structure", Proceedings of Tenth International Conference on Simulation and Synthesis of Living Systems (ALifeX), Bloomington, Indiana, USA, 2006.
• Conference presentations on other authors' papers
  • 4/6/2006 - M. Prokopenko, V. Gerasimov, and I. Tanev, "Measuring Spatiotemporal Coordination in a Modular Robotic System", presented at 10th International Conference on the Simulation and Synthesis of Living Systems (ALifeX), Bloomington, Indiana, USA, 2006.

Joe Lizier, Last Updated 13/10/2025. ;