El. knyga: Routledge Handbook of Causality and Causal Methods [Taylor & Francis e-book]

Introduction: The Mosaic of Causal Theory: Whence and Whither Phyllis
Illari and Federica Russo Part I: Causal Pluralism from Theory to Practice
1.
The Plurality of Causal Pluralisms Mariusz Maziarz
2. What Caused the
COVID-19 Pandemic? Trisha Greenhalgh, Eivind Engebretsen, and Tony Sandset
Part II: Causal Theory and the Role of Researchers What is the variety of
roles of the researchers (or groups of researchers) in the practices of
causal discovery and validation?
3. Seeing Further: The Role of Modelers and
Simulation in Causal Inference Miles MacLeod
4. Causal Thinking in Global
Health: Pragmatism and the Causal Mosaic Erman Sözüdoru How is causality
fundamental and/or practical in different disciplines?
5. Why Adoption of
Causal Modeling Methods Requires Some Metaphysics H.K. Andersen
6. The
Physical Infrastructure Supporting Causal Cognition: Locality and Asymmetry
Mathias Frisch
7. Quiet Causation and its Many Uses in Science Mauricio
Suįrez When are deeper ontological assumptions important and when are they
not?
8. Causality in General Relativity (and Beyond): Heuristics from
Metaphysics Samuel C. Fletcher
9. Causation in Policy Science: Knowledge,
Power, Meaning, Agency and Context John Grin Part III: Features of Causal
Systems Are there levels of causation? If so, what are they?
10. The
Interplay Between Single-case and Generic Causation in Qualitative Social
Science Research Judith Schoonenboom
11. Causation Across Levels Throughout
the Sciences David Danks and Maralee Harrell
12. Social Causes and Epistemic
(In)justice in Medical Machine Learning-mediated Medical Practices Giorgia
Pozzi and Juan M. Durįn What are the boundaries of (causal) systems? How
should we establish or cope with them?
13. How are (Causal) Systems Defined
and How are Influences from Outside Dealt With? Claus Beisbart
14.
Individuation of Cross-Cutting Causal Systems in Cognitive Science and
Behavioral Ecology Marie I. Kaiser and Beate Krickel
15. Closure of
Constraints and the Individuation of Causal Systems in Biology Charbel N.
El-Hani, Jeferson Gabriel da Encarnaēćo Coutinho, and Clarissa Machado Pinto
Leite What aspects of causal complexity are important and how are they
handled in research?
16. The Challenge of Complexity: Causal Inference and
Simulation Models in Macroeconomics Alessio Moneta and Sebastiaan Tieleman
17. A Pluralistic (Mosaic) Approach to Causality in Health Complexity
Federica Russo, Alex Broadbent, Brian Castellani, Suzanne Fustolo-Gunnink,
Naja Hulvej Rod, Morten Hulvej Rod, Spencer Moore, Harry Rutter, Karien
Stronks, and Jeroen Uleman What are the challenges of causal cycles, and what
are the best ways of meeting them?
18. Causal Cycles in Biology William
Bechtel and Andrew Bolhagen
19. Modelling Cyclic Causal Structures Alexander
Gebharter and Bert Leuridan Part IV: Causal Methods, Experimentation and
Observation Under what circumstances is it (not) necessary to intervene
experimentally? Or even to use non-experimental methods?
20. Physical vs
Biomedical Sciences: Only the Latter Needs RCTs, but both Require Careful and
Honest Methodology Carl Hoefer
21. Non-experimental Interventions in
Political Science and International Relations Rosa Runhardt
22. Information
Security, Intelligence Analysis, and Knowledge Generation without Experiments
Jonathan M. Spring and Phyllis Illari How is technology advancing or
hindering causal reasoning? Or allowing increased epistemic access to causal
relations?
23. Causality Problems in Machine Learning Systems Alberto Termine
and Giuseppe Primiero
24. Technology-driven Causal Inference: Prospects and
Challenges Dingmar van Eck and Kristian Gonzįlez Barman
25. The Combination
of Brain Stimulation and Brain Imaging Technologies in the Cognitive
Neurosciences: Problematizing the Convergence Hypothesis Bas De Boer
26.
Causal-manipulationist Approaches to Explaining Machine Learning Juan M.
Durįn Part V: Measurement and Data What kind of metrics or measurement
methods do causal methods need?
27. Causation and Realism: The Role of
Instrumentally Mediated Empirical Evidence Mahdi Khalili
28. Using Deep
Neural Networks and Similarity Metrics to Predict and Control Brain Responses
Bojana Grujii and Phyllis Illari What is 'good quality' data for causal
inference?
29. Between Quantity and Quality: Competing Views on the Role of
Big Data for Causal Inference Stefano Canali and Emanuele Ratti
30. Process
Tracing with Qualitative Data Julie Zahle Part VI: Causality, Knowledge, and
Action What are the practices of causal explanation?
31. Moving Beyond
Explanatory Monism Melinda Bonnie Fagan
32. Comparing Prediction and
Explanation in Computational Models: Theoretical Neuroscience vs. Language
Technology Marcin Mikowski
33. Causal Mechanisms in the Social Sciences as
Evidence for Higher-Order Causal Relations Erik Weber
34. When Does an Event
Become a Cause? Narrative Structure and Causal Indeterminacy Paul A. Roth and
John Beatty
35. Heterogeneous Causality: Levels of Causation and the WHOW
Causal Logics in Qualitative Comparative Analysis Sofia Pagliarin Do we need
full knowledge of a system in order to establish causes? What can be done
with partial knowledge?
36. When Decisions Must be Based on Partial Causal
Knowledge: Analyzing Causality and Evidence for Health Policy Fredrik
Andersen, Rani Lill Anjum, and Elena Rocca
37. Going from Models to Action:
Using Causal Knowledge for Everyday Choices Samantha Kleinberg How is causal
evidence to be used in regulatory contexts?
38. Evidence, Causation,
Guidelines and Regulation: The Public Health Experience of NICE in England
Michael P. Kelly
39. Causal Evidence and the Social Determinants of Health:
The Case of the Adverse Childhood Experiences Policies Virginia Ghiara
40.
Causation, Regulation, and the Assessment of Adverse Events Following
Immunization (AEFIs) Maria Laura Ilardo and Julian Reiss
41. Science to
Policy Through Adverse Outcome Pathways Annamaria Carusi
42. Causal Knowledge
and the Process of Policy Making: Towards a Bottom-up Approach Luis
Mireles-Flores
43. From Evidence to Policy: Assessing Causal Claims in
Nutrition Science Saana Jukola Part VII: Causal Theory Across Disciplinary
Borders How to theorise causality outside the canon?
44. Causality and
Interdisciplinarity in the Philosophy of Science in Practice: The Cases of
Ecology and Environmental Conservation Luana Poliseli
45. What to Do When You
Encounter Funky Causes in the (Historical) Wild Eric Schliesser Where should
we pioneer causal theory outside philosophical canon?
46. Clinical Reasoning
as a Problem-solving Cognitive Activity: The Role of Causal Claims Atocha
Aliseda
47. Practical Causal Knowledge for Sustainability: Implications of
Co-production for a Philosophical Understanding of Causality in
Sustainability Science Guido Caniglia and Maja Schlüter
48. Causality and
Complex Systems in the Geosciences Maarten G. Kleinhans How does causal
theory make it into the classroom?
49. Causal Thinking in Science Education
and the Challenges it Holds Michal Haskel-Ittah
50. Causal Reasoning About
Education: What is it and What Should it Be? Arthur Bakker, Elisabeth
Angerer, William R. Penuel, and Sanne F. Akkerman

Phyllis Illari is a Professor of Philosophy of Science in the Department of Science and Technology Studies at University College London. She has published extensively on causality, mechanisms, evidence, and information. With Federica Russo, she co-authored Causality: Philosophical Theory Meets Scientific Practice (2014) and co-edited the European Journal for Philosophy of Science for four years.

Federica Russo is a Professor of Philosophy and Ethics of Techno-Science and holds the Westerdijk Chair at the Freudenthal Institute, Utrecht University. She is the author of Techno-Scientific Practices: An Informational Approach (2022), Causality and Causal Modelling in the Social Sciences (2009). With Phyllis Illari, she co-authored Causality: Philosophical Theory Meets Scientific Practice (2014) and co-edited the European Journal for Philosophy of Science for four years.