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This list is intended to include all talks and seminars taking place in the Department of Psychology and certain related institutions.
URL: http://talks.cam.ac.uk/show/index/39836
Updated: 16 min 1 sec ago

Thu 07 Mar 12:30: Psychedelics in psychiatry

Thu, 30/11/2023 - 12:06
Psychedelics in psychiatry

Abstract not available

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Thu 08 Feb 12:30: TBA

Fri, 24/11/2023 - 14:33
TBA

Abstract not available

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Fri 24 Nov 12:30: TBA

Fri, 24/11/2023 - 14:32
TBA

Abstract not available

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Thu 29 Feb 12:30: Protecting the physical health of people with severe mental illness - what I've learnt from being a carer over the last 30 years

Fri, 24/11/2023 - 14:32
Protecting the physical health of people with severe mental illness - what I've learnt from being a carer over the last 30 years

Abstract not available

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Thu 29 Feb 12:30: Protecting the physical health of people with severe mental illness - what I've learnt from being a carer over the last 30 years

Fri, 24/11/2023 - 14:32
Protecting the physical health of people with severe mental illness - what I've learnt from being a carer over the last 30 years

Abstract not available

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Thu 22 Feb 12:30: TBA

Fri, 24/11/2023 - 14:31
TBA

Abstract not available

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Thu 22 Feb 12:30: TBA

Fri, 24/11/2023 - 14:31
TBA

Abstract not available

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Thu 15 Feb 12:30: autism and genetics

Fri, 24/11/2023 - 14:30
autism and genetics

Abstract not available

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Thu 01 Feb 12:30: Diabetes and Eating Disorders

Fri, 24/11/2023 - 14:29
Diabetes and Eating Disorders

Abstract not available

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Thu 25 Jan 12:30: Psychotic symptoms in Schizophrenia

Fri, 24/11/2023 - 14:27
Psychotic symptoms in Schizophrenia

Abstract not available

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Thu 11 Jan 12:30: Decision making research

Fri, 24/11/2023 - 14:23
Decision making research

Abstract not available

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Tue 28 Nov 09:30: Child Development Forum Michaelmas II

Thu, 23/11/2023 - 19:33
Child Development Forum Michaelmas II

Child Development Forum are a series of talks bringing together researchers of infant, child and adolescent development across the University of Cambridge.

Today’s CDF talks:

Rachel Knight on results from a novel intervention targeting psychological decentering in adolescents with elevated depression symptoms

Jean Heng on the nature and determinants of mutuality across cultures – a UK-Hong Kong study

Dianna Ilyka on taking neuroimaging into the home to examine brain and behaviour associations in neonates

Talks are termly, and usually held at the MRC Cognition and Brain Sciences Unit (Chaucer Road).

Join the mailing list to kept up-to-date, and sign up to give a talk:

https://lists.cam.ac.uk/sympa/info/ucam-childdevforum

This talk is part of the Child Development Forum (CDF) series.

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Wed 06 Dec 12:30: The linguistic foundations of verbal WM

Thu, 23/11/2023 - 08:04
The linguistic foundations of verbal WM

Abstract not available

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Thu 23 Nov 12:30: Therapeutic Drug Monitoring in Neuropsychopharmacology

Wed, 22/11/2023 - 16:18
Therapeutic Drug Monitoring in Neuropsychopharmacology

Real-world data suggest very low treatment response rates in clinical routine. The search for treatment personalization tools and potential moderators of clinical outcomes is ongoing. Therapeutic Drug Monitoring (TDM), i.e. the quantification of drug concentrations in plasma or serum to titrate the individual dose, is currently the only established personalized medicine tool. Analyzing large TDM datasets acquired as part of clinical practice can help addressing common clinical questions deriving from common clinical scenarios. This type of questions frequently refer to the treatment of particularly vulnerable patient subgroups, where different patterns of drug disposition are expected. For example, the mental healthcare of women in pregnancy or lactation can comprise a challenge for professionals involved including prescription of pharmacological agents. We use different types of data to understand the risk of mental distress in women during pregnancy and at postpartum, while we also focus on exposure of fetuses/newborns to pharmacotherapy prescribed to the mothers during pregnancy and lactation. Moreover, we are interested in understanding moderators of effectiveness and safety outcomes for well-established psychiatric therapies, including electroconvulsive therapy and psychotherapies.

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Tue 21 Nov 16:00: Capability-oriented Evaluation in AI: From IRT to Measurement Layouts The talk is available online. Please email the organiser and ask for the Teams invite.

Mon, 20/11/2023 - 15:08
Capability-oriented Evaluation in AI: From IRT to Measurement Layouts

With the advent of general-purpose systems in AI, such as large language models, their evaluation is finally transitioning from the reporting of aggregate performance on some benchmarks to the extraction of capabilities in more well-thought measurement experiments, in a way that should resemble the theory and practice of psychological measurement. I will illustrate some examples where Factor Analysis and Item Response Theory have been applied to AI evaluation in the past. In these psychometric approaches, estimating capabilities excels over measuring performance in that capabilities aim to be independent from the task distribution. However, the parameters and factors in these models are still highly dependent on the underlying population of AI systems, which are more arbitrary and changing than human or animal populations. To address this issue, we need a more cognitive, intrinsic approach, identifying task demands and mapping the capabilities that can meet these demands. Under this perspective, I will present a new approach referred to as ‘measurement layouts’, generalised (non-linear) Hierarchical Bayesian Networks that can infer the latent capabilities of a single AI system from observed performance and task demands, and then predict performance for new tasks. Measurement layouts provide understanding of what makes an individual AI system fail and anticipation of performance for future tasks. At the end of the talk, I’ll invite attendees to an open discussion on how measurement layouts compare to other novel approaches such as Assessors (performance models trained on test data) and more traditional approaches such as Structural Equation Modelling (if used for individuals).

The talk is available online. Please email the organiser and ask for the Teams invite.

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Fri 03 May 16:30: Neurocognitive ageing within the Lothian Birth Cohorts

Wed, 15/11/2023 - 11:31
Neurocognitive ageing within the Lothian Birth Cohorts

Abstract not available

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Fri 03 May 16:30: Neurocognitive ageing within the Lothian Birth Cohorts

Wed, 15/11/2023 - 11:23
Neurocognitive ageing within the Lothian Birth Cohorts

Abstract not available

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Thu 30 Nov 12:30: Apathy in Huntingdon's disease

Tue, 14/11/2023 - 12:53
Apathy in Huntingdon's disease

Abstract not available

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Mon 04 Dec 09:30: Methods In Cognitive Neuroscience Day

Tue, 14/11/2023 - 11:51
Methods In Cognitive Neuroscience Day

The Methods Day will consist of short talks, from researchers around Cambridge, on methodological innovations and new application in brain imaging, brain stimulation, behavioural research and web-based experiments. This year’s Methods Day will take place in-person only. Everybody is welcome. Attendance is free and does not require registration.

The methods day schedule: https://imaging.mrc-cbu.cam.ac.uk/methods/MethodsDaySchedule

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Tue 21 Nov 16:00: Capability-oriented Evaluation in AI: From IRT to Measurement Layouts

Sat, 11/11/2023 - 20:57
Capability-oriented Evaluation in AI: From IRT to Measurement Layouts

With the advent of general-purpose systems in AI, such as large language models, their evaluation is finally transitioning from the reporting of aggregate performance on some benchmarks to the extraction of capabilities in more well-thought measurement experiments, in a way that should resemble the theory and practice of psychological measurement. I will illustrate some examples where Factor Analysis and Item Response Theory have been applied to AI evaluation in the past. In these psychometric approaches, estimating capabilities excels over measuring performance in that capabilities aim to be independent from the task distribution. However, the parameters and factors in these models are still highly dependent on the underlying population of AI systems, which are more arbitrary and changing than human or animal populations. To address this issue, we need a more cognitive, intrinsic approach, identifying task demands and mapping the capabilities that can meet these demands. Under this perspective, I will present a new approach referred to as ‘measurement layouts’, generalised (non-linear) Hierarchical Bayesian Networks that can infer the latent capabilities of a single AI system from observed performance and task demands, and then predict performance for new tasks. Measurement layouts provide understanding of what makes an individual AI system fail and anticipation of performance for future tasks. At the end of the talk, I’ll invite attendees to an open discussion on how measurement layouts compare to other novel approaches such as Assessors (performance models trained on test data) and more traditional approaches such as Structural Equation Modelling (if used for individuals).

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