The presentations listed below are from academic conferences or symposia.

  • Andrews, M. (2021). Using a custom R package to facilitate teaching. Teaching R in Psychology. Department of Psychology, Lancaster University. Online Symposium. July 19, 2021.
  • Andrews, M. (2020). Introduction to Bayesian Data Analysis. Quantitative and Qualitative Research Methods MSc in Health Psychology Module. Institute of Epidemiology and Health Care, University College London. London, United Kingdom. February 11, 2020.
  • Andrews, M. (2019). Doing open, transparent and reproducible research. Implications of Open Science for Quantitative and Qualitative Methods. British Psychological Society Mathematical, Statistics, and Computing Psychology Section. Leicester, United Kingdom. December 10, 2019.
  • Diaz, J. A., Andrews, M. (2019). Approximate Number System and Mathematical Achievement: A Drift Diffusion Model Analysis. British Psychological Society Cognitive and Developmental Psychology Annual Conference. Cognitive Psychology and Developmental Psychology sections of the British Psychological Society. Stoke-on-Trent, United Kingdom. September 4, 2019.
  • Andrews, M., Baguley, T. (2018). Bayesian Data Analysis for Social Scientists. LMU Workshop on Bayesian Analysis. University of Munich. Munich, Germany. September 24, 2018.
  • Andrews, M. (2018). A Bayesian Model of Memory for Text. British Psychological Society Cognitive Psychology Section Annual Conference. British Psychological Society. Liverpool, United Kingdom. August 30, 2018.
  • Andrews, M. (2018). Open, transparent and reproducible research with RMarkdown, Jupyter Notebooks, and Git. British Psychological Society Cognitive and Developmental Psychology Annual Conference. British Psychological Society. Nottingham, United Kingdom. May 2, 2018.
  • Andrews, M. (2017). Open, transparent, and reproducible research with RMarkdown, Jupyter notebooks, and Git. Symposium on Improving Research Integrity and Reproducibility through Openness and Transparency. University College Cork. Cork, Ireland. October 23, 2017.
  • Andrews, M., Baguley, T. (2017). Teaching Bayesian Data Analysis to Social Scientists. ESRC Conference on Bayesian Data Analysis in the Social Sciences Curriculum. Nottingham Trent University. Nottingham, United Kingdom. September 29, 2017.
  • Andrews, M. (2017). Introduction to Bayesian Inference. British Psychological Society West Midlands Branch Workshop. Coventry University. Coventry, United Kingdom. September 8, 2017.
  • Andrews, M. (2017). The Art and Science of P-value Hacking. Statistical Methods for Linguistics and Psychology Summer School. University of Potsdam. Potsdam, Germany. August 31, 2017.
  • Andrews, M. (2017). A Bayesian Model of Memory for Text. 39th Annual Meeting of the Cognitive Science Society. London, United Kingdom. July 28, 2017.
  • Andrews, M., Wider, C. (2017). A Hierarchical Diffusion Model Analysis of the Approximate Number System. 50th Annual Meeting of the Society for Mathematical Psychology. University of Warwick. Coventry, United Kingdom. July 25, 2017.
  • Andrews, M. (2017). Introduction to Likelihood and Bayesian Inference. Workshop on Bayesian Analysis in Social Science Research. University of Kent. Kent, United Kingdom. July 6, 2017.
  • Andrews, M. (2013). Probabilistic Language Modeling with Hidden Stochastic Automata. 35th Annual Conference of the Cognitive Science Society. Berlin, Germany. August 3, 2013.
  • Andrews, M. (2017). Psychology and scientific method: Replication crisis or revolution?. British Psychological Society Annual Conference 2017. Brighton, United Kingdom. May 4, 2017.
  • Andrews, M., Baguley, T. (2017). Teaching Bayesian Data Analysis to Social Scientists. Bayes@Lund 2017. Lund University. Lund, Sweden. April 20, 2017.
  • Andrews, M. (2017). Introduction to Bayesian Data Analysis. Quantitative and Qualitative Research Methods MSc in Health Psychology Module. Institute of Epidemiology and Health Care, University College London. London, United Kingdom. January 24, 2017.
  • Andrews, M., Baguley, T. (2016). What is the replication crisis and why does it matter? A Bayesian perspective. 7th ESRC Research Methods Festival. University of Bath. Bath, United Kingdom. July 7, 2016.
  • Andrews, M. (2016). A GNU Kind of Psychological Science: Open and reproducible research with Wilhelm and www.cognitionexperiments.org. Department of Psychology Seminar Series. Department of Psychology, Nottingham Trent University. Nottingham, United Kingdom. February 24, 2016.
  • Andrews, M. (2014). Probabilistic Modeling of Memory for Texts. British Psychological Society Cognitive Psychology Section Annual Conference. Nottingham Trent University. Nottingham, United Kingdom. September 3, 2014.
  • Andrews, M. (2013). Probabilistic Modeling of Semantic Representation. Department of Psychology Seminar Series. Department of Psychology, Warwick University. Coventry, United Kingdom. April 25, 2013.
  • Andrews, M. (2012). Inferring a Probabilistic Model of Semantic Memory from Word Association Norms. Workshop on Semantic Networks and Word Associations. Faculty of Psychology and Educational Science, KU Leuven. Leuven, Belgium. October 11, 2012.
  • Andrews, M., Diaz, J. A. (2012). Modeling the role of background knowledge in memory for texts. 18th Annual Conference on Architectures and Mechanisms for Language Processing. Riva del Garda, Italy. September 8, 2012.
  • Andrews, M., Vigliocco, G. (2009). Learning Semantic Representations with Hidden Markov Topic Models. 31st Annual Meeting of the Cognitive Science Society. Amsterdam, Netherlands. July 30, 2009.
  • Andrews, M. (2012). Probabilistic Modeling of Semantic Representation. Center for Mind/Brain Sciences Seminar Series. Center for Mind/Brain Sciences, University of Trento. Rovereto, Italy. April 12, 2012.
  • Andrews, M., Vinson, D. P., Vigliocco, G. (2008). Inferring a Probabilistic Model of Semantic Memory from Word Association Norms. The 30th Annual Conference of the Cognitive Science Society. Washington, DC, USA. July 25, 2008.
  • Andrews, M., Vigliocco, G. (2011). Learning semantic representations from sequential and syntactic statistics. 17th Meeting of the European Society for Cognitive Psychology. San Sebastian, Spain. September 30, 2011.
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2007). Evaluating the Contribution of Intra-Linguistic and Extra-Linguistic Data to the Structure of Human Semantic Representations. The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. August 3, 2007.
  • Andrews, M., Webb, J. (2010). A Hierarchical Logistic-Wald Model for the Analysis of Lexical-Decision Data. 43rd Annual Meeting of the Society for Mathematical Psychology. Portland, Oregon, USA. August 8, 2010.
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2005). The Role of Attributional and Distributional Information in Semantic Representation. 27th Annual Conference of the Cognitive Science Society. Stresa, Italy. July 22, 2005.
  • Vigliocco, G., Andrews, M. (2009). Learning Semantic Representation from Experience and Language. Cambridge Institute for Language Research Seminar Series. University of Cambridge. Cambridge, UK. March 2, 2009.
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2008). Integrating Statistics from the World and from Language to Learn Semantic Representations. Workshop on Machine Learning Meets Human Learning. Whistler, British Columbia, Canada. December 12, 2008.
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2008). Integrating statistics from the world and from language to learn semantic representations. 14th Annual Conference on Architectures and Mechanisms for Language Processing. Queen's College, Cambridge. Cambridge, United Kingdom. September 5, 2008.
  • Andrews, M. (2001). Language Learning by Vector Field Estimation. 23rd Annual Conference of the Cognitive Science Society. Edinburgh, United Kingdom. August 3, 2001.
  • Andrews, M. (2008). The Joint Contribution of Experience and Language in Shaping Meaning Representations. XXIX International Congress of Psychology. Berlin, Germany. July 23, 2008.
  • Andrews, M. (2006). A Unified Account of Population-Based Stochastic Optimization Methods. Workshop on Towards a New Reinforcement Learning. Whistler, British Columbia, Canada. December 8, 2006.
  • Andrews, M. (2006). The Role of Attributional and Distributional Information in Semantic Representation. School of Informatics Seminar Series. School of Informatics, University of Edinburgh. Edinburgh, United Kingdom. March 24, 2006.
  • Andrews, M. (2004). Advanced probabilistic models for speech and language. Foresight Cognitive Systems Initiative Workshop on Speech, Language and Human Computer Interaction. Robinson College, University of Cambridge. Cambridge, United Kingdom. June 28, 2004.
  • Andrews, M. (2001). Language Learning by State-Space Reconstruction. 5th International Conference on Cognitive and Neural Systems. Department of Cognitive and Neural Systems, Boston University. Boston, Massachusetts, USA. May 31, 2001.
  • Andrews, M. (2001). Language Learning by Vector Field estimation. 7th Annual Conference of the Cognitive Neuroscience Society. New York, New York, USA. April 15, 2001.
  • Andrews, M. (2001). Language Learning and Language Learnability. 14th CUNY Sentence Processing Conference. University of Pennsylvania. Philadelphia, Pennsylvania, USA. March 16, 2001.
  • Andrews, M. (2000). Nonlinear Dynamics of Sentence Comprehension. 6th Annual Conference on Architectures and Mechanisms for Language Processing. Leiden, Netherlands. September 22, 2000.
  • Andrews, M. (2000). Semantic Processing in Neural Systems. 7th Annual Meeting of the Cognitive Neuroscience Society. San Francisco, California, USA. April 15, 2000.
  • Andrews, M., Keil, F. C. (1998). Conceptual organization and discourse processing. 8th Annual Meeting of the Society for Text & Discourse. Madison, Wisconson, USA. July 30, 1998.
  • Andrews, M., Levin, D., Field, D. J. (1996). Face Space: Vectors of Emotional Expression. Annual Conference of Association for Research in Vision and Opthalmology. Fort Lauderdale, Florida, USA. April 23, 1996.