Professor Lewis Mitchell

• Appointments

  Date	Position	Institution name
  2014 - ongoing	Lecturer->Professor of Data Science	University of Adelaide
  2011 - 2014	Ed Lorenz postdoctoral fellow in the mathematics of climate	University of Vermont

• Awards and Achievements

  Date	Type	Title	Institution Name	Country	Amount
  2021	Award	JH Michell Medal for outstanding new researchers	ANZIAM	Australia	-
  2018	Award	ACEMS Recognition for Outstanding Participation in Outreach Award	ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)	Australia	1000
  2018	Award	ACEMS Outstanding Achievements Recognition Award	ARC Centre of Excellence for Mathematical and Statistical Frontiers	Australia	1000
  2018	Award	SA Young Tall Poppy Award	Australian Institute of Policy & Science	Australia	-
  2017	Teaching Award	ECMS Faculty Teaching Award (Continuing)	University of Adelaide	Australia	2000
  2017	Honour	Fresh Science SA Finallist	-	-	-

• Education

  Date	Institution name	Country	Title
  2008 - 2012	University of Sydney	Australia	PhD
  2003 - 2007	University of Wollongong	Australia	BMath (Hons) (Adv) / BSc (Physics) (Adv)

• Research Interests

  Applied Mathematics Applied Statistics Artificial Intelligence Computational Linguistics Computer Communications Networks Computer-Human Interaction Information and Computing Sciences Knowledge Representation and Machine Learning Mathematical Sciences Networking & Telecommunications Networking and Communications Neural, Evolutionary and Fuzzy Computation Neurocognitive Patterns and Neural Networks Numerical and Computational Mathematics Numerical Computation Pattern Recognition and Data Mining Simulation and Modelling Social Sciences Methods Stochastic Analysis and Modelling

• Journals

  Year	Citation
  2024	Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2024). Probabilistic emotion and sentiment modelling of patient-reported experiences.. CoRR, abs/2401.04367.
  2024	Bala, I., Kelly, T. -L., Lim, R., Gillam, M. H., & Mitchell, L. (2024). An Effective Approach for Multiclass Classification of Adverse Events Using Machine Learning. Journal of Computational and Cognitive Engineering, 3(3), 226-239. DOI Scopus1
  2024	Bala, I., Kelly, T., Stanford, T., Gillam, M. H., & Mitchell, L. (2024). Machine learning-based analysis of adverse events in mesh implant surgery reports. Social Network Analysis and Mining, 14(1), 63-1-63-15. DOI Scopus1
  2024	Smart, B., Roughan, M., & Mitchell, L. (2024). The entropy rate of Linear Additive Markov Processes. PLoS One, 19(4), e0295074-1-e0295074-13. DOI
  2024	Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2024). Revealing patient-reported experiences in healthcare from social media using thedesign-acquire-process-model-analyse-visualise framework. Digit Health, 10, 1-20. DOI
  2024	Bala, I., & Mitchell, L. (2024). Thematic exploration of educational research after the COVID pandemic through topic modelling. Journal of Applied Learning & Teaching, 7(1), 26-34. DOI
  2024	Dharmaprani, D., Tiver, K., Salari Shahrbabaki, S., Jenkins, E. V., Chapman, D., Strong, C., . . . Ganesan, A. N. (2024). Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization. Circulation: Arrhythmia and Electrophysiology, 17(7), 465-475. DOI
  2024	Cornell, C., Mitchell, L., & Roughan, M. (2024). Rank is all you need: development and analysis of robust causal networks. Applied Network Science, 9(1), 27 pages. DOI
  2024	Ho, S. W., Mitchell, L., & Wang, V. (2024). Modelling Channel Attenuation in Hybrid Optical/E-band System. IEEE Transactions on Wireless Communications, 1. DOI
  2023	Dharmaprani, D., Jenkins, E. V., Quah, J. X., Tiver, K., Mitchell, L., Tung, M., . . . Ganesan, A. N. (2023). Spatial autocorrelation dimension as a potential determinant for the temporal persistence of human atrial and ventricular fibrillation. DOI
  2023	Toomes, A., Moncayo, S., Stringham, O. C., Lassaline, C., Wood, L., Millington, M., . . . Cassey, P. (2023). A snapshot of online wildlife trade: Australian e-commerce trade of native and non-native pets. Biological Conservation, 282, 9 pages. DOI Scopus10
  2023	Stringham, O. C., Maher, J., Lassaline, C. R., Wood, L., Moncayo, S., Toomes, A., . . . Cassey, P. (2023). The dark web trades wildlife, but mostly for use as drugs. People and Nature, 5(3), 999-1009. DOI Scopus6
  2023	Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2023). Markov modeling of phase singularity interaction effects in human atrial and ventricular fibrillation.. Chaos, 33(6), 10 pages. DOI
  2022	Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2022). Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework.. CoRR, abs/2210.04232.
  2022	Nasim, M., Weber, D., South, T., Tuke, J., Bean, N. G., Falzon, L., & Mitchell, L. (2022). Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere.. CoRR, abs/2201.09161.
  2022	Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2022). The inspection paradox: An important consideration in the evaluation of rotor lifetimes in cardiac fibrillation.. Front Physiol, 13, 920788. DOI Scopus3 WoS1
  2022	Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2022). Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework.
  2022	Weber, D., Falzon, L., Mitchell, L., & Nasim, M. (2022). Promoting and countering misinformation during Australia’s 2019–2020 bushfires: a case study of polarisation. Social Network Analysis and Mining, 12(1), 64-1-64-26. DOI Scopus5 WoS2 Europe PMC1
  2022	Nasim, M., Weber, D., South, T., Tuke, J., Bean, N., Falzon, L., & Mitchell, L. (2022). Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere.
  2022	Toomes, A., García‐Díaz, P., Stringham, O. C., Ross, J. V., Mitchell, L., & Cassey, P. (2022). Drivers of the Australian native pet trade: the role of species traits, socioeconomic attributes and regulatory systems. Journal of Applied Ecology, 59(5), 1268-1278. DOI Scopus11 WoS4
  2022	Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2022). Understanding the origins of the basic equations of statistical fibrillatory dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(3), 032101-1-032101-12. DOI Scopus3 WoS3 Europe PMC2
  2022	Thomas, E. F., Leggett, N., Kernot, D., Mitchell, L., Magsarjav, S., & Weber, N. (2022). Reclaim the Beach: How Offline Events Shape Online Interactions and Networks Amongst Those Who Support and Oppose Right-Wing Protest. Studies in Conflict and Terrorism, 1-23. DOI Scopus2 WoS1
  2022	South, T., Smart, B., Roughan, M., & Mitchell, L. (2022). Information flow estimation: A study of news on Twitter. Online Social Networks and Media, 31, 1-10. DOI Scopus6
  2022	Kalenkova, A., Mitchell, L., & Roughan, M. (2022). Performance Analysis: Discovering Semi-Markov Models From Event Logs.
  2022	Andreacchio, A., Bean, N., & Mitchell, L. (2022). Modelling Australian Rules Football as spatial systems with pairwise comparisons. Journal of Quantitative Analysis in Sports, 18(4), 215-226. DOI
  2021	Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2021). Exploring the effect of streamed social media data variations on social network analysis. Social Network Analysis and Mining, 11(1), 62-1-62-38. DOI Scopus7 WoS4 Europe PMC3
  2021	Stringham, O., García‐Díaz, P., Toomes, A., Mitchell, L., Ross, J., & Phill. (2021). Reptile smuggling is predicted by trends in the legal exotic pet trade. DOI
  2021	Stringham, O., Moncayo, S., Hill, K., Toomes, A., Mitchell, L., Ross, J., & Phill. (2021). Text classification to streamline online wildlife trade analyses. DOI
  2021	Stringham, O. C., Moncayo, S., Hill, K. G. W., Toomes, A., Mitchell, L., Ross, J. V., & Cassey, P. (2021). Text classification to streamline online wildlife trade analyses.. PloS one, 16(7), 1-12. DOI Scopus15 WoS6 Europe PMC2
  2021	Stringham, O. C., García-Díaz, P., Toomes, A., Mitchell, L., Ross, J. V., & Cassey, P. (2021). Live reptile smuggling is predicted by trends in the legal exotic pet trade. Conservation Letters, 14(6), 10 pages. DOI Scopus18 WoS5
  2021	Stringham, O., Moncayo, S., Thomas, E., Heinrich, S., Toomes, A., Maher, J., . . . Shepherd, C. (2021). Dataset of seized wildlife and their intended uses. DOI
  2021	Toomes, A., García‐Díaz, P., Stringham, O., Ross, J., Mitchell, L., & Phill. (2021). Drivers of the live pet trade: the role of species traits, socioeconomic attributes and regulatory systems. DOI
  2021	Dharmaprani, D., Jenkins, E. V., Quah, J. X., Lahiri, A., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2021). A governing equation for rotor and wavelet number in human clinical ventricular fibrillation: implications for sudden cardiac death. Heart Rhythm, 19(2), 295-305. DOI Scopus10 WoS8 Europe PMC8
  2021	Stringham, O. C., Moncayo, S., Thomas, E., Heinrich, S., Toomes, A., Maher, J., . . . Cassey, P. (2021). Dataset of seized wildlife and their intended uses. Data in Brief, 39, 107531. DOI Scopus4 WoS1
  2021	Garrett, P. M., White, J. P., Lewandowsky, S., Kashima, Y., Perfors, A., Little, D. R., . . . Dennis, S. (2021). The acceptability and uptake of smartphone tracking for COVID-19 in Australia.. PloS one, 16(1), 1-23. DOI Scopus63 WoS41 Europe PMC36
  2021	Gallagher, R. J., Frank, M. R., Mitchell, L., Schwartz, A. J., Reagan, A. J., Danforth, C. M., & Dodds, P. S. (2021). Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts. EPJ Data Science, 10(1), 1-29. DOI Scopus35 WoS22
  2021	Zachreson, C., Mitchell, L., Lydeamore, M. J., Rebuli, N., Tomko, M., & Geard, N. (2021). Risk mapping for COVID-19 outbreaks in Australia using mobility data. Journal of the Royal Society Interface, 18(174), 1-11. DOI Scopus33 WoS24 Europe PMC27
  2021	South, T., Roughan, M., & Mitchell, L. (2021). Popularity and centrality in Spotify networks: critical transitions in eigenvector centrality. Journal of Complex Networks, 8(6), 19 pages. DOI Scopus6 WoS2
  2020	Toomes, A., Stringham, O. C., Mitchell, L., Ross, J., & Cassey, P. (2020). Australia's wish list of exotic pets: biosecurity and conservation implications of desired alien and illegal pet species. NEOBIOTA, 60(60), 43-59. DOI Scopus18 WoS12
  2020	Liu, D., Mitchell, L., Cope, R. C., Carlson, S. J., & Ross, J. V. (2020). Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates. Epidemics, 33, 1-7. DOI Scopus2 WoS1 Europe PMC1
  2020	Quah, J., Dharmaprani, D., Lahiri, A., Schopp, M., Mitchell, L., Selvanayagam, J. B., . . . Ganesan, A. N. (2020). Prospective cross-sectional study using Poisson renewal theory to study phase singularity formation and destruction rates in atrial fibrillation (RENEWAL-AF): Study design. Journal of Arrhythmia, 36(4), 660-667. DOI Scopus4 WoS4 Europe PMC4
  2020	Hossny, A. H., Mitchell, L., Lothian, N., & Osborne, G. (2020). Feature selection methods for event detection in Twitter: a text mining approach. Social Network Analysis and Mining, 10(1), 15 pages. DOI Scopus25 WoS13
  2020	Pond, T., Magsarjav, S., South, T., Mitchell, L., & Bagrow, J. P. (2020). Complex contagion features without social reinforcement in a model of social information flow. Entropy, 22(3), 265-1-265--8. DOI Scopus11 WoS10 Europe PMC5
  2020	Dharmaprani, D., Jenkins, E., Aguilar, M., Quah, J. X., Lahiri, A., Tiver, K., . . . Ganesan, A. N. (2020). M/M/infinity birth-death processes - a quantitative representational framework to summarize and explain phase singularity and wavelet dynamics in atrial fibrillation. Frontiers in Physiology, 11, 616866-1-616866-17. DOI Scopus14 WoS13 Europe PMC10
  2020	Stringham, O. C., Toomes, A., Kanishka, A. M., Mitchell, L., Heinrich, S., Ross, J. V., & Cassey, P. (2020). A guide to using the Internet to monitor and quantify the wildlife trade.. Conserv Biol, 35(4), 1130-1139. DOI Scopus55 WoS33 Europe PMC12
  2020	Tuke, J., Nguyen, A., Nasim, M., Mellor, D., Wickramasinghe, A., Bean, N. G., & Mitchell, L. (2020). Pachinko Prediction: A Bayesian method for event prediction from social media data. Information Processing and Management, 57(2), 102147-1-102147-13. DOI Scopus16 WoS10
  2020	Gray, C., Mitchell, L., & Roughan, M. (2020). Bayesian inference of network structure from information cascades. IEEE Transactions on Signal and Information Processing over Networks, 6, 371-381. DOI Scopus7 WoS6
  2020	Roughan, M., Mitchell, L., & South, T. (2020). How the Avengers assemble: ecological modelling of effective cast sizes for movies. PLoS ONE, 15(2), e0223833-1-e0223833-31. DOI Scopus1 WoS6
  2020	Stringham, O., Toomes, A., Kanishka, A., Mitchell, L., Heinrich, S., Ross, J., & Phill. (2020). A guide to using the Internet to monitor and quantify the wildlife trade. DOI
  2019	Dharmaprani, D., Schopp, M., Kuklik, P., Chapman, D., Lahiri, A., Dykes, L., . . . Ganesan, A. N. (2019). Renewal theory as a universal quantitative framework to characterize phase singularity regeneration in mammalian cardiac fibrillation. Circulation: Arrhythmia and Electrophysiology, 12(12), e007569. DOI Scopus31 WoS26 Europe PMC25
  2019	Gray, C., Mitchell, L., & Roughan, M. (2019). Generating connected random graphs. Journal of Complex Networks, 7(6), 896-912. DOI Scopus5 WoS1
  2019	Bagrow, J., Liu, X., & Mitchell, L. (2019). Information flow reveals prediction limits in online social activity. Nature Human Behaviour, 3(2), 122-128. DOI Scopus50 WoS36 Europe PMC8
  2019	Glonek, M., Tuke, J., Mitchell, L., & Bean, N. (2019). Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. Applied Network Science, 4(1), 62-1-62-18. DOI Scopus1 WoS1
  2018	Cope, R., Ross, J., Chilver, M., Stocks, N., & Mitchell, L. (2018). Connecting surveillance and population-level influenza incidence. DOI Europe PMC1
  2018	Venohr, M., Langhans, S. L., Peters, O., Holker, F., Arlinghaus, R., Mitchell, L., & Wolter, C. (2018). The underestimated dynamics and impacts of water-based recreational activities on freshwater ecosystems. Environmental Reviews, 26(2), 199-213. DOI Scopus61 WoS27
  2018	Bagrow, J., & Mitchell, L. (2018). The quoter model: a paradigmatic model of the social flow of written information. Chaos, 28(7), 1-9. DOI Scopus7 WoS6 Europe PMC3
  2018	Tiggemann, M., Churches, O., Mitchell, L., & Brown, Z. (2018). Tweeting weight loss: A comparison of #thinspiration and #fitspiration communities on Twitter. Body Image, 25, 133-138. DOI Scopus38 WoS32 Europe PMC12
  2018	Bellsky, T., & Mitchell, L. (2018). A shadowing-based inflation scheme for ensemble data assimilation. Physica D: Nonlinear Phenomena, 380-381, 1-7. DOI Scopus1 WoS1
  2018	Hossny, A. H., Moschuo, T., Osborne, G., Mitchell, L., & Lothian, N. (2018). Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study. Social Network Analysis and Mining, 8(1), 1-10. DOI Scopus10 WoS4
  2018	Cope, R., Ross, J., Chilver, M., Stocks, N., & Mitchell, L. (2018). Characterising seasonal influenza epidemiology using primary care surveillance data. PLoS Computational Biology, 14(8), 1006377-1-1006377-21. DOI Scopus17 WoS11 Europe PMC7
  2017	Dodds, P., Dewhurst, D., Hazlehurst, F., Van Oort, C., Mitchell, L., Reagan, A., . . . Danforth, C. (2017). Simon's fundamental rich-get-richer model entails a dominant first-mover advantage. Physical Review E, 95(5), 7 pages. DOI Scopus10 WoS8 Europe PMC2
  2017	Alajajian, S., Williams, J., Reagan, A., Alajajian, S., Frank, M., Mitchell, L., . . . Dodds, P. (2017). The Lexicocalorimeter: gauging public health through caloric input and output on social media. PLoS ONE, 12(2), e0168893-1-e0168893-25. DOI Scopus21 WoS18 Europe PMC6
  2016	Dodds, P., Mitchell, L., Reagan, A., & Danforth, C. (2016). Tracking climate change through the spatiotemporal dynamics of the Teletherms, the statistically hottest and coldest days of the year. PLoS One, 11(5), e0154184-1-e0154184-20. DOI Scopus3 WoS3
  2016	Kiley, D., Reagan, A., Mitchell, L., Danforth, C., & Dodds, P. (2016). Game story space of professional sports: Australian rules football. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 93(5), 052314-1-052314-14. DOI Scopus13 WoS11
  2016	Reagan, A., Mitchell, L., Kiley, D., Danforth, C., & Dodds, P. (2016). The emotional arcs of stories are dominated by six basic shapes. EPJ Data Science, 5(1), 31-1-31-12. DOI Scopus249 WoS148
  2016	Mitchell, L., & Ross, J. (2016). A data-driven model for influenza transmission incorporating media effects. Royal Society Open Science, 3(10), 160481-1-160481-10. DOI Scopus24 WoS19 Europe PMC7
  2015	Dodds, P. S., Clark, E. M., Desu, S., Frank, M. R., Reagan, A. J., Williams, J. R., . . . Danforth, C. M. (2015). Reply to Garcia et al.: common mistakes in measuring frequency-dependent word characteristics. Proceedings of the National Academy of Sciences of the United States of America, 112(23), E2984-E2985. DOI Scopus6 WoS4 Europe PMC2
  2015	Cody, E., Reagan, A., Mitchell, L., Dodds, P., & Danforth, C. (2015). Climate change sentiment on Twitter: an unsolicited public opinion poll. PLoS One, 10(8), e0136092-1-e0136092-18. DOI Scopus199 WoS139 Europe PMC30
  2015	Dodds, P., Clark, E., Desu, S., Frank, M., Reagan, A., Williams, J., . . . Danforth, C. (2015). Human language reveals a universal positivity bias. Proceedings of the National Academy of Sciences of the United States of America, 112(8), 2389-2394. DOI Scopus265 WoS193 Europe PMC81
  2014	Mitchell, L., & Carrassi, A. (2014). Accounting for model error due to unresolved scales within ensemble Kalman filtering. Quarterly Journal of the Royal Meteorological Society, 141(689), 1417-1428. DOI Scopus24 WoS22
  2014	Frank, M., Mitchell, L., Dodds, P., & Danforth, C. (2014). Standing swells surveyed showing surprisingly stable solutions for the Lorenz '96 model. International Journal of Bifurcation and Chaos, 24(10), 1430027-1-1430027-14. DOI Scopus12 WoS11
  2014	Bellsky, T., Berwald, J., & Mitchell, L. (2014). Nonglobal parameter estimation using local ensemble Kalman filtering. Monthly Weather Review, 142(6), 2150-2164. DOI Scopus13 WoS11
  2013	Frank, M., Mitchell, L., Dodds, P., & Danforth, C. (2013). Happiness and the patterns of life: a study of geolocated tweets. Scientific Reports, 3(1), 2625-1-2625-9. DOI Scopus119 WoS90 Europe PMC23
  2013	Mitchell, L., Frank, M., Harris, K., Dodds, P., & Danforth, C. (2013). The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. PLoS One, 8(5), e64417-1-e64417-15. DOI Scopus353 WoS191 Europe PMC87
  2013	Mitchell, L., & Gottwald, G. (2013). Controlling model error of underdamped forecast models in sparse observational networks using a variance-limiting Kalman filter. Quarterly Journal of the Royal Meteorological Society, 139(670), 212-225. DOI Scopus4 WoS3
  2012	Mitchell, L., & Gottwald, G. (2012). On finite-size Lyapunov exponents in multiscale systems. Chaos, 22(2), 023115-1-023115-9. DOI Scopus7 WoS6
  2012	Mitchell, L., & Gottwald, G. (2012). Data assimilation in slow-fast systems using homogenized climate models. Journal of the Atmospheric Sciences, 69(4), 1359-1377. DOI Scopus37 WoS34
  2011	Gottwald, G., Mitchell, L., & Reich, S. (2011). Controlling overestimation of error covariance in ensemble Kalman filters with sparse observations: a variance-limiting Kalman filter. Monthly Weather Review, 139(8), 2650-2667. DOI Scopus12 WoS12
  2011	Zhu, S., & Mitchell, L. (2011). Combined diffraction and radiation of ocean waves around an OWC device. Journal of Applied Mathematics and Computing, 36(1-2), 401-416. DOI Scopus11 WoS7
  2009	Zhu, S. -P., & Mitchell, L. (2009). Diffraction of ocean waves around a hollow cylindrical shell structure. Wave Motion, 46(1), 78-88. DOI Scopus34 WoS26

• Book Chapters

  Year	Citation
  2017	Mitchell, L. (2017). How the internet knows if you’re happy or sad. In J. Watson (Ed.), The Conversation Yearbook 2017: standout articles from Australia's top thinkers. Melbourne, Australia: Melbourne University Press.

• Conference Papers

  Year	Citation
  2024	Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2024). Probabilistic emotion and sentiment modelling of patient-reported experiences.
  2024	Cornell, C., Mitchell, L., & Roughan, M. (2024). Rank Is All You Need: Robust Estimation of Complex Causal Networks. In Studies in Computational Intelligence Vol. 1143 SCI (pp. 468-482). Online: Springer Nature Switzerland. DOI
  2024	Bala, I., Chauhan, D., & Mitchell, L. (2024). Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '24) (pp. 735-738). New York, NY: Association for Computing Machinery. DOI
  2023	Cornell, C., Mitchell, L., & Roughan, M. (2023). Vector Autoregression in Cryptocurrency Markets: Unraveling Complex Causal Networks.
  2023	Watt, J., Tuke, J., & Mitchell, L. (2023). Personality Profiling: How informative are social media profiles in predicting personal information?. In CoRR Vol. abs/2309.13065.
  2022	Smart, B., Watt, J., Benedetti, S., Mitchell, L., & Roughan, M. (2022). #IStandWithPutin Versus #IStandWithUkraine: The Interaction of Bots and Humans in Discussion of the Russia/Ukraine War. In Lecture Notes in Computer Science Vol. 13618 LNCS (pp. 34-53). Online: Springer International Publishing. DOI Scopus16
  2021	Murray, C., Mitchell, L., Tuke, S. J., & Mackay, M. (2021). Symptom Extraction from the Narratives of Personal Experiences with COVID-19 on Reddit.. In O. Balalau, K. Ognyanova, & D. M. Romero (Eds.), ICWSM Workshops.
  2021	Murray, C., Mitchell, L., Tuke, S. J., & Mackay, M. (2021). Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit. In Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021) Vol. abs/2005.10454 (pp. 1-10). California, USA: Association for the Advancement of Artificial Intelligence Press. DOI
  2020	Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2020). A method to evaluate the reliability of social media data for social network analysis. In M. Atzmüller, M. Coscia, & R. Missaoui (Eds.), Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2020) Vol. 812 (pp. 317-321). online: IEEE. DOI Scopus9 WoS5
  2020	Edwards, M., Tuke, S., Roughan, M., & Mitchell, L. (2020). The one comparing narrative social network extraction techniques. In M. Atzmüller, M. Coscia, & R. Missaoui (Eds.), Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2020) (pp. 905-913). online: IEEE. DOI Scopus3 WoS1
  2020	Mitchell, L., Dent, J., & Ross, J. (2020). Mo’ characters mo’ problems: Online social media platform constraints and modes of communication. In AoIRS Selected Papers of Internet Research Vol. 2018 (pp. 10497-1-10497-5). Montreal, Canada: Association of Internet Researchers.
  2020	Weber, D., Nasim, M., Falzon, L., & Mitchell, L. (2020). #ArsonEmergency and Australia's "Black Summer": Polarisation and misinformation on social media. In Proceedings of the 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), as published in Lecture Notes in Computer Science Vol. 12259 (pp. 159-173). Switzerland: Springer. DOI Scopus19
  2019	Glonek, M., Tuke, S., Mitchell, L., & Bean, N. (2019). GLaSS: Semi-supervised graph labelling with Markov random walks to absorption. In Proceedings of the 7th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2018), as published in Complex Networks and Their Applications VII: Volume 1 Vol. 812 (pp. 304-315). Cham, Switzerland: Springer. DOI Scopus1
  2019	Mathews, P., Gray, C., Mitchell, L., Nguyen, G., & Bean, N. G. (2019). SMERC: Social media event response clustering using textual and temporal information. In Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 3695-3700). online: IEEE. DOI Scopus1 WoS1
  2019	Glenny, V., Tuke, J., Bean, N., & Mitchell, L. (2019). A framework for streamlined statistical prediction using topic models. In Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature Vol. abs/1904.06941 (pp. 61-70). Minneapolis, MN: Association for Computational Linguistics. Scopus1
  2019	Nguyen, A., South, T., Bean, N., Tuke, S. J., & Mitchell, L. (2019). Podlab at SemEval-2019 Task 3: The Importance of Being Shallow. In Proceedings of the 13th International Workshop on Semantic Evaluation (pp. 292-296). online: The Association for Computational Linguistics.
  2018	Hossny, A., & Mitchell, L. (2018). Event detection in Twitter: A keyword volume approach. In Proceedings of the 2nd International Workshop on Social Computing (IWSC’18) Vol. 2018-November (pp. 1200-1208). Singapore: IEEE. DOI Scopus24 WoS11
  2018	Gray, C. G., Mitchell, L., & Roughan, M. (2018). Super-blockers and the effect of network structure on information cascades. In Proceedings of the 1st International Workshop on Online Social Networks and Media: Network Properties and D ynamics (OSNED 2018), as published in WWW ’18 Companion: The 2018 Web Conference Companion (pp. 1435-1441). New York: Association for Computing Machinery. DOI Scopus10 WoS8
  2018	Nasim, M., Nguyen, A., Lothian, N., Cope, R., & Mitchell, L. (2018). Real-time detection of content polluters in partially observable Twitter networks. In P. -A. Champin, F. L. Gandon, M. Lalmas, & P. G. Ipeirotis (Eds.), Proceedings of the Web Conference 2018, as published in WWW '18 Companion: The 2018 Web Conference (pp. 1331-1339). Lyon, France: ACM. DOI Scopus18 WoS12
  2017	Bagrow, J., Danforth, C., & Mitchell, L. (2017). Which friends are more popular than you? Contact strength and the friendship paradox in social networks. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 103-108). online: ACM. DOI Scopus9
  2017	Mathews, P., Mitchell, L., Nguyen, G. T., & Bean, N. G. (2017). The nature and origin of heavy tails in retweet activity. In Proceedings of the 26th International World Wide Web Conference (pp. 1493-1498). Perth, Australia: Association for Computing Machinery. DOI Scopus18 WoS7
  2008	Mitchell, L., & Zhu, S. (2008). Linear diffraction and radiation of surface waves by a hollow suspended cylindrical shell. In Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE Vol. 6 (pp. 579-585). Estoril, PORTUGAL: AMER SOC MECHANICAL ENGINEERS. DOI

• Curated or Produced Public Exhibition or Events

  Year	Citation
  2019	Mitchell, L. (2019). The Hedonometer exhibit (HEDONISM exhibition, MOD) (No. Of Pieces: 5 months) [Exhibition]. MOD (Museum of Discovery), Adelaide.

• Working Paper

  Year	Citation
  2014	Frank, M. R., Williams, J. R., Mitchell, L., Bagrow, J. P., Dodds, P. S., & Danforth, C. M. (2014). Constructing a taxonomy of fine-grained human movement and activity motifs through social media.
  2013	Bagrow, J. P., Desu, S., Frank, M. R., Manukyan, N., Mitchell, L., Reagan, A., . . . Bongard, J. C. (2013). Shadow networks: Discovering hidden nodes with models of information flow.

• Internet Publications

  Year	Citation
  2017	Mitchell, L. (2017). Explainer: how the internet knows if you’re happy or sad. The Conversation.
  2016	McVernon, J., Ross, J. V., Glass, K., Mitchell, L., Geard, N., & Moss, R. (2016). Computing helps the study of infections on a global and local scale.
  2016	Mitchell, L. (2016). How Twitter gives scientists a window into human happiness and health. The Conversation.

• Preprint

  Year	Citation
  2022	Smart, B., Roughan, M., & Mitchell, L. (2022). The entropy rate of Linear Additive Markov Processes.

Courses

• APP MTH 4047 Mathematics of Artificial Intelligence (2022-24)
• MATHS 2203 Advanced Mathematical Perspectives II (2021,2023-24)
• APP MTH 3014 Optimisation III (2021-24)
• MATHS 7027 Mathematical Foundations of Data Science (2019-21)
• MATHS 1004 Mathematics for Data Science I (2019)
• APP MTH 3001 Applied Probability III (2018-19)
• MATHS 2102 Differential Equations II (2015-17)
• MATHS 2104 Numerical Methods II (2015-17)
• MBB Mathematics for Biostatistics (online) (2015)
• MATHS 1011 Mathematics 1A (algebra) (2014)

• Current Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2024	Principal Supervisor	Quantifying the onset of atrial fibrillation as a phase transition from synchrony into chaos	Doctor of Philosophy	Doctorate	Full Time	Mr Luke Phillip O'Loughlin
  2024	Co-Supervisor	Uncertainty Calibration of Probabilistic Machine Learning Models	Master of Philosophy	Master	Full Time	Mr Peter Moskvichev
  2024	Principal Supervisor	Developing explainable AI methods for the financial sector	Doctor of Philosophy	Doctorate	Full Time	Mr Wenrui Zhang
  2024	Principal Supervisor	Quantifying Online Persuasibility: Analysis, Metrics Development, and Application in Digital Discourse	Master of Philosophy	Master	Full Time	Mr Gia Bao Hoang
  2023	Co-Supervisor	Using Twitter Posts to determine whether gender effects the sentiment of text.	Master of Philosophy	Master	Full Time	Mr Oska Tex Dubsky-Smith
  2023	Co-Supervisor	Analysis of users' behaviours in social networks using process mining techniques	Master of Philosophy	Master	Full Time	Mr Ethan Michael Johnson
  2023	Principal Supervisor	Applications of data science and artificial intelligence to support intellectual property development in the creative industries	Doctor of Philosophy	Doctorate	Part Time	Mr Anton Andreacchio
  2023	Principal Supervisor	Financial Causality Networks in Cryptocurrency Markets	Doctor of Philosophy	Doctorate	Full Time	Mr Cameron James Cornell
  2022	Co-Supervisor	Investigating information flow across multiple online social networks: a network science and information theory approach	Doctor of Philosophy	Doctorate	Full Time	Ms Sara Benedetti
  2022	Principal Supervisor	Identifying and preventing the coordinated spread of misinformation	Doctor of Philosophy	Doctorate	Full Time	Mr Scott James Carnie-Bronca
  2021	Co-Supervisor	Large-scale social media sentiment analysis as a predictor of public behaviour in Australia.	Doctor of Philosophy	Doctorate	Part Time	Miss Saranzaya Magsarjav

• Past Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2022 - 2024	Principal Supervisor	An Analysis of Bias in Australian Television Media	Master of Philosophy	Master	Full Time	Miss Irulan Claire Prowse Murphy
  2021 - 2023	Principal Supervisor	Measuring and modelling information flows in real-world networks	Master of Philosophy	Master	Full Time	Miss Bridget Anna Smart
  2021 - 2023	Principal Supervisor	The Application of Social Media in Modern-Day Influence Campaigns: Personality Profiling and Information Warfare	Master of Philosophy	Master	Full Time	Mr Joshua Watt
  2020 - 2023	Co-Supervisor	Optimising Battery Replacement in a Fleet of Scooters	Master of Philosophy	Master	Part Time	Mr Joshua Thomas Price
  2020 - 2022	Co-Supervisor	Mathematics of Last-Mile Transportation	Master of Philosophy	Master	Full Time	Mr Scott James Carnie-Bronca
  2019 - 2021	Co-Supervisor	Lagrangian Coherent Data Assimilation for Chaotic Geophysical Systems	Master of Philosophy	Master	Full Time	Ms Rose Joy Crocker
  2019 - 2021	Principal Supervisor	Non-parametric Information Flow Estimation in Social-Media News	Master of Philosophy	Master	Full Time	Mr Tobin Max South
  2019 - 2021	Co-Supervisor	Carmen et Standard Error: Computational Methods in Stylometry for Classical Latin Poetry	Master of Philosophy	Master	Full Time	Mr Benjamin Charles Nagy
  2018 - 2022	Co-Supervisor	Analysing Dynamics of the Illegal Wildlife Trade in Australia	Doctor of Philosophy	Doctorate	Full Time	Mr Adam Toomes
  2018 - 2020	Principal Supervisor	Analysis of World War One Diaries using Natural Language Processing	Master of Philosophy	Master	Full Time	Miss Ashley Grace Dennis-Henderson
  2018 - 2023	Co-Supervisor	Data Science and Usefulness in Domains of Human Action	Master of Philosophy	Master	Part Time	Mr Anton Andreacchio
  2017 - 2019	Co-Supervisor	The One with the Social Network Analysis: The Extraction, Analysis and Modelling of Temporal Social Networks from Narratives	Master of Philosophy	Master	Full Time	Miss Michelle Claire Edwards
  2017 - 2021	Co-Supervisor	Mathematical and Statistical Models of Human Behaviour in Digital Epidemiology	Doctor of Philosophy	Doctorate	Full Time	Mr Dennis Liu
  2017 - 2019	Co-Supervisor	Using Approximate Bayesian Computation and Machine Learning Model Selection Techniques to Understand the Impact of Climate on Seasonal Influenza-like Illness in Australia	Master of Philosophy	Master	Full Time	Miss Jessica Penfold
  2017 - 2020	Co-Supervisor	On the application of Bayesian inference to network estimation problems	Doctor of Philosophy	Doctorate	Full Time	Miss Caitlin Miranda Gray
  2016 - 2019	Co-Supervisor	Characterising the Social Media Temporal Response to External Events	Doctor of Philosophy	Doctorate	Full Time	Mr Peter Mathews
  2016 - 2018	Co-Supervisor	A methodology for predictive topic modelling; or, any excuse to watch Love Actually	Master of Philosophy	Master	Full Time	Miss Vanessa Grace Glenny

• Other Supervision Activities

  Date	Role	Research Topic	Location	Program	Supervision Type	Student Load	Student Name
  2024 - 2024	Principal Supervisor	Explainability of machine learning models in credit default prediction	The University of Adelaide	-	Honours	-	Shufan Wang
  2023 - 2023	Principal Supervisor	Coordinate networks can outperform Shannon interpolation	The University of Adelaide	-	Honours	-	Alexander Mackay
  2023 - 2023	Co-Supervisor	Machine learning for sea ice remote sensing	The University of Adelaide	-	Honours	-	Elizabeth Shine
  2023 - ongoing	Co-Supervisor	Stochastic process mining	The University of Adelaide	-	Honours	-	Alexandra Stephenson
  2022 - ongoing	Co-Supervisor	Branching process model of early spread of gene drives through mouse populations	The University of Adelaide	-	Honours	-	Thomas Heyworth
  2018 - 2018	Principal Supervisor	Network analysis of communication on Twitter	University of Adelaide	-	Honours	-	Declan Jamieson
  2018 - 2018	Principal Supervisor	Analysis of balance in signed social networks from movies	University of Adelaide	-	Honours	-	Saranzaya (Saka) Magsarjev
  2017 - 2019	Co-Supervisor	Prediction using emotional arcs in movies	University of Adelaide	-	Honours	Part Time	Luke Pickering
  2016 - 2018	Co-Supervisor	Prediction of civil unrest events using Poisson and Hawkes models	University of Adelaide	-	Honours	-	Wendy Li
  2016 - 2016	Principal Supervisor	Information cascades on random networks	University of Adelaide	-	Honours	-	Caitlin Gray

• Committee Memberships

  Date	Role	Committee	Institution	Country
  2017 - ongoing	Member	School of Mathematical Sciences Outreach Committee	-	-

• Memberships

  Date	Role	Membership	Country
  2014 - ongoing	Member	Australian Mathematical Society	Australia

• Position: Professor
• Phone: 83135424
• Email: lewis.mitchell@adelaide.edu.au
• Fax: 83133696
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 6
• Org Unit: Mathematical Sciences