A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.


About me





Complexity matching in dyadic interaction

Abney, D., Paxton, A., Kello, C.T., & Dale, R. (2013). Complexity matching in dyadic interaction. In P. Passos, J. Barrieros, R. Cordovil, D. Araújo, & F. Melo (Eds.), Studies in Perception and Action XII. Proceedings from the Seventeenth International Conference on Perception and Action.

From minor mishap to major catastrophe: Lexical choice in miscommunication

Roche, J. M., Paxton, A., Ibarra, A., & Tanenhaus, M. K. (2013). From minor mishap to major catastrophe: Lexical choice in miscommunication. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.



Outreach: Data on the Mind 2017 summer workshop

Outreach: Videos and code from the Data on the Mind 2017 summer workshop are now available! Check out 11 tutorials dedicated to helping cognitive scientists explore questions about cognition and behavior with big and naturally occurring data. Find out more through the links below.

Call to action: Data on the Mind

Call to action: Using big or naturally occurring data sets (BONDS) to test theories outside the lab by finding the traces of the behavioral and cognitive processes within the human-generated data (Paxton & Griffiths, 2017, Behavior Research Methods). Read the open-access article!

Publication: Dual Conversation Constraints

Publication: Using wearable technology to quantify the nonlinear context-sensitivity of interpersonal coordination to high- and low-level constraints during conversation (Paxton & Dale, 2017, Frontiers in Psychology). Read the open-access article, and check out our registered repository of data and code on OSF!

Methods: ALIGN

Methods development: Automatically and reproducibly quantify multi-level linguistic alignment in natural conversation using ALIGN—Analyzing Linguistic Interactions with Generalizable techNiques (Duran, Paxton, & Fusaroli, under review). Find our Python package on GitHub, or install it directly from PyPI. Read about it in our preprint on OSF’s PsyArXiv!

Funding: MSDSE

Fellowship: Moore-Sloan Data Science Fellow, Berkeley Institute for Data Science, AY 2016-2018.



ALIGN. Python library for extracting quantitative, reproducible metrics of multi-level alignment between two speakers in naturalistic language corpora.


bwlf. Code to help get text data into recurrence-ready analysis form. Development supported by the NSF under grants BCS-0826825 and BCS-0926670.


crqa-tools. Some bits of code to help with CRQA plotting in R.

Data on the Mind

Data on the Mind. A community resource dedicated to helping bridge the gaps between big data and cognitive science.

Data on the Mind 2017 workshop

Data on the Mind 2017 workshop. Materials from Data on the Mind's 2017 summer workshop, aimed at providing early-career researchers in cognitive science and psychology with hands-on introductions to essential data science skills. Exercises and tutorial videos are provided below. Generously funded by the Estes Fund, Berkeley's D-Lab, and Project Jupyter.


Gensim-LSI-Word-Similarities. Functions to calculate various similarity scores from Gensim's latent semantic indexing in Python.


living-documents. A tutorial on using Jupyter notebooks and R markdown to create living documents and reproducible reports.


plotting-coupled-data. Code plots coupled categorical and continuous time series in a single, elegant plot. It was originally created to visualize concurrent speech (categorical) and movement (continuous) signals in the same plot.


stats-tools. Bits of code to help clean up and display statistical analyses, largely in R.


xsede-quickstarts. A few quickstart guides to getting going on XSEDE resources (Jetstream and PSC Bridges). In addition to walkthroughs, it also includes some basic scripts that you can use as templates to help manage your instances.



Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.