Dr Lewis Mitchell

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• Appointments

  Date	Position	Institution name
  2019	Senior Lecturer in Applied Mathematics	University of Adelaide
  2014 - 2018	Lecturer in Applied Mathematics	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
  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

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• Journals

  Year	Citation
  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
  2020	Quah, J., Dharmaprani, D., Lahiri, A., Schopp, M., Mitchell, L., Selvanayagam, J., . . . Ganesan, A. (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), 8 pages. DOI
  2020	Hossny, A., 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
  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 WoS1
  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
  2020	Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2020). Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit.. CoRR, abs/2005.10454.
  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
  2019	Liu, D., Mitchell, L., Cope, R., Carlson, S., & Ross, J. (2019). Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates. COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv. DOI
  2019	Gray, C., Mitchell, L., & Roughan, M. (2019). Bayesian inference of network structure from information cascades. Unknown Journal, 371-381. 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 Scopus3 WoS3 Europe PMC2
  2019	Glonek, M., Tuke, J., Mitchell, L., & Bean, N. G. (2019). Semi-supervised graph labelling reveals increasing partisanship in the United States Congress.. CoRR, abs/1904.01153.
  2019	Gray, C., Mitchell, L., & Roughan, M. (2019). Generating connected random graphs. Journal of Complex Networks, 7(6), 896-912. DOI Scopus3
  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 Scopus15 WoS10 Europe PMC2
  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., 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 Scopus13 WoS11
  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 Scopus3 WoS4 Europe PMC2
  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 Scopus19 WoS16 Europe PMC5
  2018	Bellsky, T., & Mitchell, L. (2018). A shadowing-based inflation scheme for ensemble data assimilation. Physica D: Nonlinear Phenomena, 380-381, 1-7. DOI
  2018	Hossny, A., 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). DOI Scopus5
  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 Scopus3 WoS3 Europe PMC1
  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 Scopus4 WoS4 Europe PMC1
  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 Scopus11 WoS12 Europe PMC4
  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 Scopus2 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 Scopus4 WoS4
  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 Scopus54 WoS45
  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 Scopus14 WoS12 Europe PMC5
  2015	Dodds, P., Clark, E., Desu, S., Frank, M., Reagan, A., Williams, J., . . . Danforth, C. (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 Scopus4 WoS3 Europe PMC1
  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 Scopus55 WoS42 Europe PMC7
  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 Scopus110 WoS102 Europe PMC32
  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 Scopus9 WoS9
  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 Scopus8 WoS8
  2014	Bellsky, T., Berwald, J., & Mitchell, L. (2014). Nonglobal parameter estimation using local ensemble Kalman filtering. Monthly Weather Review, 142(6), 2150-2164. DOI Scopus11 WoS10
  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 Scopus81 WoS68 Europe PMC17
  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 Scopus225 WoS181 Europe PMC51
  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 Scopus3 WoS3
  2012	Mitchell, L., & Gottwald, G. (2012). On finite-size Lyapunov exponents in multiscale systems. Chaos, 22(2), 023115-1-023115-9. DOI Scopus5 WoS4
  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 Scopus25 WoS24
  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 Scopus10 WoS10
  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 Scopus7
  2009	Zhu, S. -P., & Mitchell, L. (2009). Diffraction of ocean waves around a hollow cylindrical shell structure. Wave Motion, 46(1), 78-88. DOI Scopus20 WoS17
  —	Gallagher, R. J., Frank, M. R., Mitchell, L., Schwartz, A. J., Reagan, A. J., Danforth, C. M., & Dodds, P. S. (n.d.). Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts.
  —	Zachreson, C., Mitchell, L., Lydeamore, M., Rebuli, N., Tomko, M., & Geard, N. (n.d.). Risk mapping for COVID-19 outbreaks using mobility data.
  —	South, T., Roughan, M., & Mitchell, L. (n.d.). Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality.

• 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
  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 CoRR Vol. abs/2004.00742.
  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). online: Association for Computational Linguistics.
  2019	Glenny, V. G., Tuke, J., Bean, N. G., & Mitchell, L. (2019). A framework for streamlined statistical prediction using topic models.. In LaTeCH@NAACL-HLT (pp. 61-70).
  2019	Mathews, P., Gray, C., Mitchell, L., Nguyen, G., & Bean, N. (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	Glonek, M., Tuke, S., Mitchell, L., & Bean, N. (2019). GLaSS: Semi-supervised graph labelling with Markov random walks to absorption. In Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018 Vol. 812 (pp. 304-315). Switzerland: Springer Nature. DOI 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 Scopus1
  2018	Gray, C., Mitchell, L., & Roughan, M. (2018). Super-blockers and the Effect of Network Structure on Information Cascades. In WWW ’18 Companion: The 2018 Web Conference Companion (pp. 1435-1441). online: ACM. DOI Scopus4
  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.), WWW (Companion Volume) (pp. 1331-1339). Lyon: ACM.
  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 Scopus3
  2017	Mathews, P., Mitchell, L., Nguyen, G., & Bean, N. (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 Scopus4
  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: 1 hanging sculpture installation) [Exhibition]. MOD (Museum of Discovery), Adelaide.
  2019	Mitchell, L. (2019). Connect For exhibit (HEDONISM exhibition, MOD) (No. Of Pieces: 1 interactive display) [Exhibition]. MOD (Museum of Discovery).

• Working Paper

  Year	Citation
  2019	Glonek, M., Tuke, J., Mitchell, L., & Bean, N. (2019). Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. DOI
  2018	Edwards, M., Mitchell, L., Tuke, J., & Roughan, M. (2018). The one comparing narrative social network extraction techniques.
  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.

• Filesets

  Year	Citation
  —	Cope, R., Ross, J., Chilver, M., Stocks, N., & Mitchell, L. (n.d.). Data associated with Cope et al. 2018 'Characterising seasonal influenza epidemiology using primary care surveillance data'. DOI

Courses I've taught

• MATHS7027 Mathematical Foundations of Data Science (2019-20)
• MATHS1004 Mathematics for Data Science I (2019)
• APPMTH3001 Applied Probability III (2018-19)
• MATHS2102 Differential Equations II (2015-17)
• MATHS2104 Numerical Methods II (2015-17)
• MBB Mathematics for Biostatistics (online) (2015)
• MATHS1011 Mathematics 1A (algebra) (2014)

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

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2020	Co-Supervisor	Mathematics for Last-Mile Transportation	Master of Philosophy	Master	Full Time	Mr Scott James Carnie-Bronca
  2020	Principal Supervisor	Understanding Patient Experiences in Healthcare through Natural Langauge Processing	Doctor of Philosophy	Doctorate	Full Time	Mr Curtis William Murray
  2020	Co-Supervisor	Optimising Battery Replacement in a Fleet of Scooters	Master of Philosophy	Master	Full Time	Mr Joshua Thomas Price
  2020	Principal Supervisor	Influence of friends and ranking algorithms in social predictability	Master of Philosophy	Master	Full Time	Mr Nicholas Ryan Bridges
  2019	Co-Supervisor	Using Data Assimilation and Lagrangian Coherent Structure Techniques to Improve Error Quantification in Geophysical and Climate Models	Master of Philosophy	Master	Full Time	Ms Rose Joy Crocker
  2019	Principal Supervisor	Information Propagation and Community Structure in Social Networks	Master of Philosophy	Master	Full Time	Mr Tobin Max South
  2019	Co-Supervisor	Carmen et Standard Error: Computational Methods for Stylistics in Latin Poetry	Master of Philosophy	Master	Full Time	Mr Benjamin Charles Nagy
  2018	Co-Supervisor	Applications of Complex Network Analysis for Strategic Decision Making in Australian Rules Football	Master of Philosophy	Master	Part Time	Mr Anton Andreacchio
  2018	Co-Supervisor	Analysing Dynamics of the Illegal Wildlife Trade in Australia	Doctor of Philosophy	Doctorate	Full Time	Mr Adam Toomes
  2017	Co-Supervisor	Early Warning Signals: The Interaction of Social Media With Vaccination and Disease Outbreak	Doctor of Philosophy	Doctorate	Full Time	Mr Dennis Liu
  2017	Co-Supervisor	Modelling Information Cascades: Creating Predictive Models on Temporal Networks	Doctor of Philosophy	Doctorate	Full Time	Miss Caitlin Miranda Gray
  2016	Co-Supervisor	A Census of Social Medial Users: Statistical Techniques for Quantifying and Correcting Biases in Big Open Data Sources	Doctor of Philosophy	Doctorate	Part Time	Mr Max Edward Glonek

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

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  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 - 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
  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
  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

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• 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: Senior Lecturer in Applied Mathematics
• Phone: 83135424
• Email: lewis.mitchell@adelaide.edu.au
• Fax: 8313 3696
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 6
• Room: 6 46
• Org Unit: Mathematical Sciences