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WELCOME

The Society for Mathematical Psychology promotes the advancement and communication of research in mathematical psychology and related disciplines. Mathematical psychology is broadly defined to include work of a theoretical character that uses mathematical methods, formal logic, or computer simulation. The official journals of the society are Journal of Mathematical Psychology and Computational Brain & Behavior.

Society News and Updates
Out now: Bayesian Statistics for Experimental Scientists

Bayesian Statistics for Experimental Scientists

A new book about Bayesian statistics is now available for purchase from MIT Press. The book is titled Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods. The book is a novel introduction to Bayesian statistics with a special emphasis on distribution-free or nonparametric procedures.

Although the book is designed for experimental scientists in general, there are a number of applications associated with either the estimation of parameters or the testing of models from mathematical psychology. There are nonstandard analyses and methods in the book that should be of interest to mathematical psychologists, yet the book is written with either an advanced undergraduate student or a graduate student in experimental science in mind. I have in fact used a draft version of the book to teach a required graduate course at Tufts University in advanced statistics for psychologists.

The book provides R programming instructions for implementing all the methods, and there are many exercises at the end of each chapter. The book is organized in two parts. Part I provides a general introduction to probability theory, the binomial model, multinomial models, and experimental comparisons with categorical variables. Part II deals with techniques for the analysis of rank-based data. Topics included in Part II are rank-based experimental tests, the Wilcoxon signed-rank procedure, the Mann-Whitney method, the Goodman-Kruskal statistic, the goodness-of-fit of a mathematical function to data, and the Kendall tau correlation. There are side-by-side comparisons made in all parts of the book between frequentist and Bayesian methods. The discussion in several chapters provides a critique of frequentist practice and demonstrates why the Bayesian approach is better suited to the goals of experimental scientists.

 
ASIC 2021

The interdisciplinary cognitive science conference, ASIC, organized by Richard Shiffrin, will be held July 14-19 in San Martino di Castrozza in the Dolomites of Italy. Please visit the website: https://cogs.sitehost.iu.edu/asic/2021/websites.shtml

 
Announcing virtual MathPsych/ICCM 2020

VENUE: Online venue – access will be provided after registration.
DATES:  July 15-31, 2020, with live Q&A sessions July 22-31, 2020.

We invite you to virtual MathPsych/ICCM 2020, the joint gathering of the 53rd Annual Meeting of the Society for Mathematical Psychology and the 18th International Conference on Cognitive Modelling (ICCM): the premier conference for research on computational models and computation-based theories of human cognition.  Following our success in previous years, ICCM has again joined forces with the Society for Mathematical Psychology to create a conference in which all sessions are open to all attendees, and cross-talk is highly encouraged.

Virtual MathPsych/ICCM 2020 is a forum for presenting and discussing the complete spectrum of cognitive modeling approaches, including connectionism, symbolic modeling, dynamical systems, Bayesian modeling, and cognitive architectures. Research topics can range from low-level perception to high-level reasoning. We also welcome contributions that use computational models to better understand neuroscientific data.

The virtual conference will run from July 15, 2020 (approx. 9am Eastern daylight time) to July 31, 2020 (approx. 6pm Eastern daylight time) with live Q&A sessions July 22, 2020 to July 31, 2020. Pre-recorded talks and poster and a discussion forum will be available throughout the conference period. More information about the schedule for submitting video presentations, viewing periods etc., can be found on the conference website.

Virtual MathPsych/ICCM 2020 is now accepting submissions.  Please visit the conference website or go directly to the submission website.

The deadline for all MathPsych and ICCM submissions is May 8, 2020.

There are 4 submission categories:

  1. Symposia
  2. MathPsych Abstracts (up to 250 words)
  3. ICCM Extended Abstracts (up to 2 pages)
  4. ICCM Full papers (up to 6 pages)

Please note that there are 3 categories of presentations:

  1. Symposia (submissions have closed)
  2. Talks
  3. Posters -- this presentation format will be replaced by lightning/flash talks

For all three presentation types the initial structure will be identical:

Asynchronous: recorded talks (15 minutes or less for symposium talks and regular talks; 5 minutes or less for posters, with no more than 4 slides). After a viewing period, we will open a discussion board where people can pre-post panel questions.

Second part of structure:

Synchronous: Symposia will be followed by a LIVE discussion panel during which panelists answer questions from the discussion board first and then take questions from a live audience. Times for these discussion panels will be staggered over time zones.

More information about the schedule for submitting video presentations, suggested viewing periods etc., will be made available on the conference website.

How-to

A how-to guide for prerecording your video presentation along with uploading instructions will be disseminated once acceptance notifications have been made.

Confirmed speakers and events

We are pleased to announce these world-class invited speakers and events:

  • Interview with Senor Fellow Award winner Jean-Claude Falmagne (University of California-Irvine)
  • Professional Development Symposium (Women of MathPsych)
  • The 27th Annual ACT-R Workshop (Dan Bothell and Christian Lebiere)
  • Symposium: Perspectives on 'What makes a good theory?' (Iris van Rooij and Chris Donkin)
  • Symposium: Optimal experimental design: developments and applications (Filip Melinscak, Jay Myung, and Mark Pitt)
  • Symposium: Computational model-based cognitive neuroscience (Percy Mistry)

Note that our Estes early career award winners will be honored and give their keynote addresses at the (hopefully) in-person conference in 2021.

  • Dora Matzke (University of Amsterdam; Estes Early Career Award winner)
  • Joseph Austerweil (University of Wisconsin-Madison; Estes Early Career Award winner)

Code of Conduct

Please note that everyone attending the meeting will be expected to adhere to the Society's Code of Conduct.  Attendees or applicants who have a priori concerns about the accessibility, inclusiveness, or welcoming nature of the conference should feel free to contact the Conference Chair directly at  This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

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We look forward to seeing you in Cyberspace!

 

 

 

 


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