Auditorium | CUBE 1

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Jul 19 @ 15:00 CEST - Jul 19 @ 18:30 CEST

In-person session

Join us at the 2024 WoMP-PRIME professional development symposium where we merge self-promotion strategies with a focus on professional growth and empowerment. Delve into conversation tailored to navigating the job market (industry, government, and academia), building a robust network, and mastering the art of grant and award applications. Together, we'll dismantle barriers, celebrate diverse voices, and equip you with the tools and confidence to excel in your career aspirations while championing inclusivity and representation.

Jul 20 @ 12:00 CEST - Jul 20 @ 13:00 CEST

In-person session

Modelling real-world visual perception with deep learning Deep neural networks (DNNs) have emerged as powerful computer algorithms that achieve human-level performance on challenging tasks such as object recognition and language comprehension. This has opened up a new research field in which explanations of brain function are sought in comparisons between DNNs and human behaviour and brain activations. In this talk I will discuss why and how this computational modelling approach could indeed help us explain the brain, focusing specifically on the case of human visual perception of naturalistic real-world images and videos.

Jul 20 @ 16:00 CEST - Jul 20 @ 17:00 CEST

Public session

A discussion with Rich Shiffrin about his career as a mathematical psychologist. The discussion will be led by E.J. Wagenmakers.

Jul 21 @ 14:00 CEST - Jul 21 @ 15:00 CEST

Public session

Jul 21 @ 16:40 CEST - Jul 21 @ 17:40 CEST

Public session

This is the annual Society for Mathematical Psychology Open Business meeting. All are welcome to attend. We cover updates on Society business, updates from our Journal editors and announce all the awards.

Jul 22 @ 14:00 CEST - Jul 22 @ 15:00 CEST

Public session

Models and Meaning: Coming Out as a Mathematical Psychologist I love introducing myself to laypeople as a "mathematical psychologist" because they often view the term as an inherent contradiction between the strict formal world of mathematical and computational models on the one hand and the fuzzy ineffable realm of the mind on the other. By embracing that apparent conflict, I think mathematical psychology is in a unique position to help advance the science of cognition beyond the recent crises which have exposed issues in our experimental and statistical methods. Mathematical psychology has already played a large part in developing tools that expand access to Bayesian statistics and psychometrics, but I think it has an even more valuable part to play in advancing the psychological theories our methods are meant to test---by imbuing formal models with meaning and enabling meaning to be expressed via formal models. In this talk, I consider a number of issues I have encountered in developing mathematical models to express cognitive theories. These issues manifest, like mathematical psychology itself, as tensions between seemingly opposing ends of a continuum. These include some specific issues related to my own areas of research, like the tension between episodic and semantic memory; the tension between associations and the items they bind together; and the tension between neural and cognitive levels of description. They also include broader issues like the tension between statistical/descriptive models and causal/mechanistic models; the tension between quantitative fit and explanatory power; and the tension between models as psychometric tools versus expressions of theory. I make no attempt to resolve these tensions. Instead, I argue that the value of mathematical psychology lies in providing the language to articulate these tensions and to enable researchers to decide for themselves where they fall along these various continua in a given scientific context---to express what they mean in terms of models and to use models to help them explore what they mean.