1. The mosaic of causal theory*
Federica Russo
Philosophy | Humanities | Amsterdam
russofederica.wordpress.com | @federicarusso
*Joint work with Phyllis Illari
2. Overview
Approaches to causality
Conceptual analysis, analysis of scientific practice
Causal pluralism
A plurality of pluralism
How to build a causal mosaic
A case study
A causal mosaic for exposomic science
2
5. How good are intuitions?
Exploit everyday intuitions to draw conclusions about the
metaphysics of causation from everyday or toy examples
Examples
The ‘Billy and Suzy’ episodes
The assassins
…
Some conclusions
There are two concepts of cause: production and dependence
Counterfactual accounts are seriously flawed
…
5
6. Analysis of scientific practice
Growing
CitS / PSP / PI
Philosophical questions about causation (and other topics) are motivated by
methodological and practical problems in real science
Start from scientific practice to bottom up philosophy
Partly descriptive and partly normative
Examples
Causal assessment in medicine
Causal reasoning in quantitative social science
…
Some conclusions
Causal assessment has two evidential components: mechanisms and difference-
making
‘Variation’ (rather than regularity) guides causal reasoning
…
6
8. Making sense of
a vast intellectual enterprise
Philosophical theorising about causes
Long history, ups and downs, harsh criticisms, dominant
views, etc
Expansion of philosophical theorising about causes
Beyond physics, attention to the special sciences, and
medicine
Attention for questions about use, besides traditional
metaphysics, epistemology, and semantics
8
9. How many concepts? Many!
Causality
Polysemic, thick concept
Causal verbs
Pulling, pushing, binding, …
Causal methods
Tracking what varies with what
Understanding what produces what, and how, and when
Different sources of evidence
Evidence of difference making, of production
…
9
15. 5 philosophical questions
Metaphysics
What is causality? What kind of things
are causes and effects?
Semantics
What does it mean that C causes E?
Epistemology
What notions guide causal reasoning?
How can we use C to explain E?
Methodology
How to establish whether C causes E?
Or how much of C causes E?
Use
What to do once we know that C
causes E?
5 scientific problems
Inference
Does C cause E? To what extent?
Prediction
What to expect if C does (not) cause
E?
Explanation
How does C cause or prevent E?
Control
What factors to hold fixed to study the
relation between C and E?
Reasoning
What considerations enter in
establishing whether / how / to what
extent C causes E?
15
18. Inference, Prediction, Explanation,
Control, Reasoning
Causal Mosaic
Metaphysics, Semantics,
Epistemology, Methodology, Use
Necessary
and
sufficient Levels
Evidence
Probabilistic
causality
Counterfact
uals
Manipulatio
n
Invariance
Exogeneity
Simpson’s
Paradox
ProcessMechanism
Information
Dispositions
Regularity
Variation
Action
Inference
Validity
Truth
18
19. Unifying the fragments
into the ‘causal mosaic’
A (causal) mosaic is picture made of tiles
Each fragment has a role that
Is determined by the scientific challenge /
philosophical question it addresses
Stands in a relation with neighboring concepts
The causal mosaic is dynamic, partly depends on
scientists’ / philosophers’ perspectives
19
21. The philosophical consequences of
causal pluralism
Building networks of concepts
No winning concepts
Constructionist epistemology
Use of examples and counterexamples
21
22. Accounts of causality Counterexamples
Scope Relevant questions How many Found in the literature
All possible worlds. What does causation
logically mean?
One logically possible
example.
Witches casting spells;
Angels protecting
glasses.
Worlds close to the
actual world.
What is causation
metaphysically?
One metaphysically
possible example.
World with reverse
temporal direction;
Salmon’s moving spot of
light.
This world. What is causation in this
world?
One or more real
examples.
Kinetic theory of gases /
quantum mechanics;
Billy and Suzy / bombing
the enemy town.
Some region in this
world.
What is causation in
biochemistry, or
physics?
A few real examples in
the relevant domain.
Causality in protein
synthesis mechanisms.
Some region of this
world at some time.
What kind of causal
explanation can we give
of the economic crisis in
1929? Can we give the
same kind of
explanation of the
economic crisis now?
A few real examples in
the relevant domain at
the relevant time;
Typical not skewed
examples.
Causality in the
discovery of protein
synthesis. Causality in
systems biological
approaches to protein
synthesis.
22
25. From GWAS to EWAS
The limits of genomics
An expanded notion of exposure
Internal and external exposure – the exposome
Better understanding of disease mechanisms
The missing link: how environmental exposure and
disease are connected
Go down to the molecular level
Better prediction and health policy planning
Earlier and more accurate prediction
Identification of areas for public health intervention
25
26. Environmental
exposure and disease
Traditional epidemiology
Establish correlation between
classes of environmental factors
and classes of disease
Molecular epidemiology
Measurement at molecular level
Identify biomarkers of exposure,
of early clinical changes, of
disease
26
27. Measure chemicals in water, air, etc
Identify biomarkers of exposure
Detect biomarkers of early clinical changes
Match with
biomarkers of disease
27
Make
categories of
environmental
factors
Match with
categories of
disease
28. Goals
Identify biomarkers at key stages of disease evolution
Match biomarkers to trace evolution of disease
(meeting-in-the-middle methodology)
Challenges
Understand link <environmental exposure—disease>
Handle unknowns of the system
Torture (big) data sets produced
Identify causal relations in spite of large interaction
effects
Reinterpret micro-links at macro-level
28
29. Selected epistemological and
metaphysical questions
What evidence?
Mechanisms? Difference-making?
What account of causality?
Information? Capacities?
What ‘levels’?
Generic, single case? Macro, micro? Biological, social?
29
30. Causal mosaic
for
exposomics
Meeting in the middle
methodology
Relation between
background knowledge
and new causal
discoveries.
Exposome
New (causal) concept;
redefines the causal
context of causal
relations at different
levels take place.
Processes
•Studying the evolution of
biomarkers is tracing
processes of molecular
changes
Difference-making and
mechanisms
•Their interplay is crucial to
establish causal relations:
•Biomarkers of disease make
a difference in the
probability of disease
This probability raising is
substantiated by a
plausible mechanism.
Production-Information
•A test case for an account of
production in terms of
information
Levels of causation
•EWAS for the population,
what about the individual?
•Integration of factors of
different nature (social and
biological) into the same
explanatory framework.
Capacity
•A test case for capacities: is
the predictive power of a
biomarker due to a capacity
of some chemicals to induce
molecular changes?
30
32. Pluralisms
Philosophical investigation of causality has at least two
main traditions
Conceptual analysis
Analysis of scientific practice
Analyses of scientific practices report a plurality of
pluralisms
In the methods, concepts, meanings, sources of evidence, …
Can we make (philosophical) sense of such pluralism?
32
Philosophers have long tried to pin down the one meaning of causality. But are these efforts worthy? In this talk I argue that we need to causality differently. I suggest that philosophical theorising has to support scientific methodology in providing answers to key challenges: inference, explanation, prediction, control, and reasoning. To do so, philosophical theorising has to carefully distinguish epistemological, metaphysical, and methodological questions about causality. This leads me to delineate a pluralistic concept of causality in analogy with a mosaic, where each tile is essential to build a picture, but only when put in the right position. I exemplify this way of conceiving of causality using a case study from ‘exposomics’ research.