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 Mathematical Sciences Numerical and Computational Mathematics

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• Journals

  Year	Citation
  2019	Bagrow, J., Liu, X., & Mitchell, L. (2019). Correction to: Information flow reveals prediction limits in online social activity (Nature Human Behaviour, (2019), 3, 2, (122-128), 10.1038/s41562-018-0510-5). Nature Human Behaviour, 3(2), 195. DOI
  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 Scopus1 WoS2
  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 Scopus8 WoS4
  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 Scopus1 WoS1 Europe PMC1
  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 Scopus3 WoS3 Europe PMC1
  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 Scopus1
  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 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 Scopus5 WoS5 Europe PMC2
  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 WoS2
  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 Scopus24 WoS18
  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 Scopus6 WoS5 Europe PMC2
  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 Scopus3 WoS2 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 Scopus33 WoS22 Europe PMC5
  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 Scopus87 WoS76 Europe PMC23
  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 Scopus8 WoS7
  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 WoS7
  2014	Bellsky, T., Berwald, J., & Mitchell, L. (2014). Nonglobal parameter estimation using local ensemble Kalman filtering. Monthly Weather Review, 142(6), 2150-2164. DOI Scopus10 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 Scopus67 WoS49 Europe PMC14
  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 Scopus181 WoS138 Europe PMC41
  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 Scopus4 WoS3
  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 Scopus22 WoS21
  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 Scopus6
  2009	Zhu, S. -P., & Mitchell, L. (2009). Diffraction of ocean waves around a hollow cylindrical shell structure. Wave Motion, 46(1), 78-88. DOI Scopus17 WoS16
  —	Glonek, M., Tuke, J., Mitchell, L., & Bean, N. (n.d.). Semi-supervised graph labelling reveals increasing partisanship in the United States Congress.
  —	Glenny, V., Tuke, J., Bean, N., & Mitchell, L. (n.d.). A framework for streamlined statistical prediction using topic models.

• 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
  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). Seattle. DOI
  2019	Hossny, A., & Mitchell, L. (2019). Event detection in twitter: A keyword volume approach. In IEEE International Conference on Data Mining Workshops, ICDMW Vol. 2018-November (pp. 1200-1208). DOI
  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). Cambridge, UK. DOI
  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. Lyon, France. DOI
  2018	Mitchell, L., Dent, J., & Ross, J. V. (2018). Mo’ characters mo’ problems: Online social media platform constraints and modes of communication. In Proceedings of the 19th annual conference of the Association of Internet Researchers (AOIR ‘18). Montreal.
  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). Sydney, Australia: Association for Computing Machinery. DOI Scopus1
  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 Scopus2
  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

• Working Paper

  Year	Citation
  2018	Tuke, J., Nguyen, A., Nasim, M., Mellor, D., Wickramasinghe, A., Bean, N. G., & Mitchell, L. (2018). Pachinko Prediction: A Bayesian method for event prediction from social media data..
  —	Frank, M. R., Williams, J. R., Mitchell, L., Bagrow, J. P., Dodds, P. S., & Danforth, C. M. (n.d.). Constructing a taxonomy of fine-grained human movement and activity motifs through social media.
  —	Bagrow, J. P., Desu, S., Frank, M. R., Manukyan, N., Mitchell, L., Reagan, A., . . . Bongard, J. C. (n.d.). Shadow networks: Discovering hidden nodes with models of information flow.
  —	Edwards, M., Mitchell, L., Tuke, J., & Roughan, M. (n.d.). The one comparing narrative social network extraction techniques.
  —	Gray, C., Mitchell, L., & Roughan, M. (n.d.). Generating Connected Random Graphs.

• 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.

Courses I've taught

• APPMTH3001 Applied Probability III (2018--)
• 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
  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
  2018	Principal Supervisor	Analysis of World War 1 Diaries Using Natural Language Processing	Master of Philosophy	Master	Full Time	Miss Ashley Grace Dennis-Henderson
  2017	Co-Supervisor	Temporal Analysis of Social Networks in Television Series	Master of Philosophy	Master	Full Time	Miss Michelle Claire Edwards
  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	Full 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	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 - ongoing	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