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1
Q

Define multidisciplinary

A

Combining knowledge from two or more academic discplines to solve complex problems.

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2
Q

Why is multidisciplinary needed?

A

Psychology alone can’t handle issues like AI ethics, cultural inequality, and neuroenhancement.

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3
Q

What is the difference between multidisciplinarity and interdisciplinary?

A

Multidisciplinary = working alongside
Interdisciplinary = merging into new frameworks

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4
Q

What real-world challenges are there?

A

AI & digital mental health
Inequality and decolonisation
Understanding the self
Public mental health

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5
Q

Why does Psychology need help with AI & digital mental health?

A

Needs ethics, data science, UX, not just behavioural knowledge.

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6
Q

Why does Psychology need help with Inequality and decolonisation?

A

Requires sociology, politics, cultural studies.

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7
Q

Why does Psychology need help with understanding the self

A

Requires neuroscience, philosophy, phenomenology.

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8
Q

Why does Psychology need help with public mental health?

A

Requires public health, economics, policy and epidemiologuy.

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9
Q

What are the four critiques of multidisciplinary work?

A

Loss of disciplinary identity
Miscommunication
Institutional barriers
Surface-level integration

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10
Q

Explain the critique of loss of disciplinary identity in a multidisciplinary context.

A

Psychology risks becoming too watered down.

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11
Q

Explain the critique of miscommunication in a multidisciplinary context.

A

Different disciplines use different language/assumptions.

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12
Q

Explain the critique of institutional barriers in a multidisciplinary context.

A

Academia often funds siloes projects, not collaborations.

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13
Q

Explain the critique of surface-level integration in a multidisciplinary context.

A

Collaborations that are ‘tokenistic’ or for funding only.

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14
Q

What are the key psychological themes being reimagined in a multidisciplinary context?

A

Self
Mental Health
Ethics
Research

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15
Q

What is the old view vs the multidisciplinary view of self?

A

Trait-based vs Fluid, embodied, relational.

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16
Q

What is the old view vs the multidisciplinary view of mental health?

A

Individual treatment vs Structural injustice & community care.

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17
Q

What is the old view vs the multidisciplinary view of ethics?

A

Passive content vs Active, political, reflexive.

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18
Q

What is the old view vs the multidisciplinary view of research?

A

Western universality vs Situated cultural, political knowledge.

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19
Q

What are the key references?

Study These Flashcards
A

Binns, 2018
Kessi, 2016
Gallagher, 2000
Williams et al., 2013
Turkle, 2011

20
Q

What does Turkle, 2011 state and why is it relevant?

Study These Flashcards
A

Teach creates emotional disconnection.
Philosophy and Sociology help us understand this.

21
Q

What does Williams et al., 2013 state and why is it relevant?

Study These Flashcards
A

Racism impacts mental health.
Psychology must work with public health.

22
Q

What does Gallagher, 2000 state and why is it relevant?

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A

The self myst be studied using brain science and subjective experience.

23
Q

What does Kessi, 2016 state and why is it relevant?

Study These Flashcards
A

Psychology needs to work with sociologists and political theorists to decolonise itself.

24
Q

What does Binns, 2018 state and why is it relevant?

Study These Flashcards
A

Tech and AI need ethical input, not just data.
Psychology can’t do this alone.

25
How should the intro be approached?
Define multidisciplinary work Define future of psychology Set up argument Thesis statement
26
What is the point of para 1: AI, Technology & Ethics (Psychology + Data Science + Philosophy)?
The rise of AI and digital technologies demands a multidisciplinary response - psychology cannot evaluate or regulate these systems alone.
27
What topics does Para 1 approach?
AI, Technology & Ethics (Psychology + Data Science + Philosophy)
28
What is the theory & application of para 1: AI, Technology & Ethics (Psychology + Data Science + Philosophy)?
Psychology can predict and interpret user behaviour (e.g. emotional UX design). Ethics and Philosophy offer critiques of bias and fairness in algorithms. Data Science enables transparency and design improvements.
29
What is the key study of para 1: AI, Technology & Ethics (Psychology + Data Science + Philosophy)?
Binns, 2018 - machine learning fairness requires philosophical concepts (e.g. distributive justice), not just data or behaviour.
30
What are the critiques/limitations of para 1: AI, Technology & Ethics (Psychology + Data Science + Philosophy)?
Disciplinary boundaries can slow down action (e.g. ethics panels vs product teams). Some tech companies co-opt psychological language (e.g. well-being) without accountability.
31
What topics does Para 2 approach?
Decolonisation & Inclusion (Psychology + Sociology + Cultural Studies)
32
What is the point of para 2: Decolonisation & Inclusion (Psychology + Sociology + Cultural Studies)?
Addressing psychology's historical bias and limited cultural validity requires external disciplinary perspectives.
33
What is the theory & application of para 2: Decolonisation & Inclusion (Psychology + Sociology + Cultural Studies)?
Sociology and postcolonial theory uncover power structures and epistemic injustice. Psychology benefits from critiques of WERID bias and marginalisation.
34
What is the key study of para 2: Decolonisation & Inclusion (Psychology + Sociology + Cultural Studies)?
Kessi, 2016 - decolonising Psychology in South Africa requires integrating political and sociological frameworks to make Psychology contextually valid.
35
What are the critiques/limitations of para 2: Decolonisation & Inclusion (Psychology + Sociology + Cultural Studies)?
Integration risks diluting Psychology's methodological focus There's resistance from traditionalists defending 'objectivity'
36
What topics does Para 3 approach?
Understanding the Self (Psychology + Neuroscience, Phenomenology)
37
What is the point of para 3: Understanding the Self (Psychology + Neuroscience, Phenomenology)
Complex phenomena like selfhood require combined insights from brain science, subjective experience, and philosophy.
38
What is the theory/application of para 3: Understanding the Self (Psychology + Neuroscience, Phenomenology)
Neuroscience explains the mechanisms of self (e.g. default mode network). Phenomenology provides meaning and context to lived experience.
39
What is the key study of para 3: Understanding the Self (Psychology + Neuroscience, Phenomenology)
Gallagher, 2000 - argues for the integration of minimal self (neural processes) and narrative self (subjective identity) for a full understanding of selfhood.
40
What are the critiques/limitations of para 3: Understanding the Self (Psychology + Neuroscience, Phenomenology)
Philosophical language can be inaccessible to psychological researchers. Neural and subjective data aren't always easily reconcilable.
41
What topics does Para 4 approach?
Mental health & Public policy (Psychology + Public Health + Policy Studies)
42
What is the point of para 4: Understanding the Self (Psychology + Neuroscience, Phenomenology)?
Effective mental health interventions require Psychology to collaborate with public health, economics, and education.
43
What is the theory/application of para 4: Understanding the Self (Psychology + Neuroscience, Phenomenology)?
Structural barriers to care (poverty, discrimination) go beyond individual-level Psychology. Policy studies help translate research into scalable change.
44
What is the key study of para 4: Understanding the Self (Psychology + Neuroscience, Phenomenology)?
Williams et al. 2013 - racism is a chronic stressor that Psychology alone cannot address; public health must be involved.
45
What are the critiques/limitations of para 4: Understanding the Self (Psychology + Neuroscience, Phenomenology)?
Funding silos limit collaboration. Evidence-based psychological interventions sometimes don't scale well in policy systems.
46
How should the conclusion be approached?
Reassert argument Re-cap key points Acknowledge limitations Final thought

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