Senior Lecturer in Applied Mathematics
School of Mathematical Sciences
Faculty of Engineering, Computer and Mathematical Sciences
Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.
- My Research
- Grants and Funding
- Professional Activities
I'm a Senior Lecturer in Applied Mathematics at the University of Adelaide. I study how information moves over social networks using mathematical models, coupled with data science techniques. My research interests are in computational social science, human dynamics, online social networks, as well as data assimilation and the mathematics of weather and climate. Please consult my homepage for further information.
Date Position Institution name 2021 Associate Professor in Applied Mathematics University of Adelaide 2019 - 2020 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 — — —
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 InterestsApplied 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
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.
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.
Year Citation 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. SPRINGER.
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. ROYAL SOC.
DOI Scopus1 WoS1
2020 Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2020). Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit.. 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
— South, T., Roughan, M., & Mitchell, L. (n.d.). Popularity and Centrality in Spotify Networks: Critical transitions in
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.
- Universities Australia-DAAD (Germany) Australia-Germany Joint Research Cooperation Scheme: Detection and classification of malicious virtual grassroots influence campaigns in social media (with F Neumann, M Nasim, D Weber, C Grimme, H Trautmann, D Assenmacher) ($24,000 over 2 years)
- Cyber Security CRC: Cyber-social-security during COVID-19: The social media reaction to COVIDSafe ($10,000 over 1 year)
- DST/University of Adelaide Research agreement: Modelling in the grey zone (with Prof D Stephens) ($175,000 over 1 year)
- Centre for Invasive Species Solutions: Understanding and intervening in illegal trade in non-native species (with Prof. Joshua Ross and A/Prof. Phill Cassey) ($665,000 over 3 years)
- Data to Decisions CRC Beat The News Project: Predicting common and novel disease outbreaks by assimilating open data into epidemiological models (with A/Prof. Joshua Ross and Prof. Nigel Bean) ($637,606 over 3 years)
- Data to Decisions CRC Beat The News Project: Predicting civil unrest and election outcomes using Bayesian network models (with Dr. Jonathan Tuke and Prof. Nigel Bean) ($661,261 over 3 years)
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)
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2021 Principal Supervisor An analysis of influence in online social networks Master of Philosophy Master Full Time Miss Bridget Anna Smart 2021 Principal Supervisor Finding and modelling political Echo Chambers online. Master of Philosophy Master Full Time Mr Joshua Watt 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 Co-Supervisor Carmen et Standard Error: Computational Methods for Stylistics in Latin Poetry Master of Philosophy Master Full Time Mr Benjamin Charles Nagy 2019 Principal Supervisor Information Propagation and Community Structure in Social Networks Master of Philosophy Master Full Time Mr Tobin Max South 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 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 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 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 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 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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