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‘Philosophy of Techno-
Science’
Whence and Wither
Federica Russo
Whence Philosophy of Techno-Science
Mainstream Anglo-American Phil Sci training
Some exposure to Phil Tech questions
Encountering PI questions as questions about technology
Re-training in Phil Tech, PI
Rewind and re-run classic Phil Sci questions in the light of PI
Outlook of the contents
PART 1:
TOWARDS A
PHILOSOPHY OF
TECHNO-SCIENCE
2. Philosophy of Science or Philosophy of Technology
2.1 Parallel contexts and debates
2.2 PSP tries to bridge the gap
2.3 Neglected traditions: ‘Techno-science’ in French epistemology
2.4 What do we need a concept of ‘techno-science’ for?
3. Techno-scientific practices: theoretical framework and selected episodes
3.1 The ‘practice turn’ in sociology and in philosophy of science
3.2 How to study ‘practices’, in practice
3.3 Selected episodes of techno-scientific practices
3.3.1 What are these ‘episodes of’, exactly?
3.3.2 Episode 1: Molecular epidemiology and exposure research
3.3.3 Episode 2: Computational history of ideas and the e-Ideas project
3.3.4 Episode 3: The measurement of vitamin D
3.3.5 Episode 4: High energy physics and the ATLAS experiment
3.4 What is the role of instruments in the process of knowledge production?
4. Two tools from the Philosophy of Information
4.1 Why going informational?
4.2 The Philosophy of Information
4.2.1 Tool 1: Constructionism
4.2.2 Tool 2: The Method of the Levels of Abstraction
4.3 Perspectivism and the role of epistemic agents
PART 2:
THE EPISTEMOLOGY
OF TECHNO-
SCIENTIFIC
PRACTICES
5. Modeling and validation in techno-scientific practices
5.1 What is a model?
5.1.1 A vast literature to organize and systematize
5.1.2 Models as representations
5.1.3 Models as objects
5.2 Models and reality
5.2.1 Models mediate between epistemic agents and the world
5.2.2 Models helps epistemic agents isolating relevant factors
5.2.3 Models guide epistemic agents through the process, like a map
5.3 Methodological pluralism
5.3.1 A plurality of types of modeling practices
5.3.2 Methodological pluralism, styles of reasoning, and foliated pluralism
5.3.3 The perils of methodological imperialism
5.4 The practice of model validation
5.5 The materiality of modeling
6. The informational content of evidence
6.1 Models generate evidence
6.2 The limits of analytic approaches and the materiality of evidence
6.3 Evidence as semantic information
6.4 A practice approach to evidence and the case of evidence hierarchies
PART 2:
THE EPISTEMOLOGY
OF TECHNO-
SCIENTIFIC
PRACTICES
7. Establishing the truth of techno-scientific claims
7.1 Why bother with truth?
7.1.1 Modelling, language, and truth
7.1.2 Examples of techno-scientific claims
7.2 The received view in analytic PhilSci: truth as correspondence
7.3 The PI approach: truth as correctness within a modeling framework
7.4 The conceptual design of ‘truth’: correctness, contextual correspondence, procedural
objectivity, and the role of epistemic agents
8. Techno-scientific knowledge and the role of instruments
8.1. Propositional and situated knowledge
8.2 Knowledge is Relational
8.3 Knowledge is Distributed
8.4 Knowledge is Embodied
8.5 Knowledge is Material
8.5 ReDiEM-Knowledge
8.6 The role of instruments in the process of knowledge production
9. Poiêsis: how human and artificial epistemic agents co-produce knowledge
9.1 Why ‘poiêsis’?
9.2 Poiêsis, beyond epistêmê and technê
9.3 The poietic character of human epistemic agents
9.4 The poietic character of artificial agents
9.4.1 Technologies that can transform the environment
9.4.2 The semi/quasi-autonomous role of (non-digital) instruments
9.4.3 The agency of instruments
9.5 The epistemic and moral responsibility of knowledge co-production
PART 3: THE ONTO-
EPISTEMOLOGY OF
TECHNO-SCIENTIFIC
PRACTICES
10 Deriving ontology from epistemology
10.1 Ontoepistemology and constructionism
10.2 Agency, structures, and relations
11 The prospects of process-based ontologies
11.1 Entities and the ‘myth of substance’
11.2 Entities or processes?
11.3 Process philosophies in (philosophical) context
11.4 Processes and interactions
12 Causality as information transmission
12.1 Do we need to ‘cement’ things together?
12.2 The mosaic of causal theory
12.3 Accounts of causal production
12.4 Tracing the transmission of information
12.5 Two episodes of information transmission
12.6 The ontoepistemological and constructionist character of information transmission
Wither Philosophy of Techno-Science
Research:
Regaining the unity of philosophy, in the spirit of Hans Radder’s ‘Synthetic Philosophy’
Further dialogue with neighbouring disciplines, and with scientits / policy makers
Teaching:
Encouraging students to look at techno-scientific problems from multiple angles and
perspectives
And with a constructive and forward-looking approach

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Philosophy of Techno-Science: Whence and Whither

  • 1. ‘Philosophy of Techno- Science’ Whence and Wither Federica Russo
  • 2. Whence Philosophy of Techno-Science Mainstream Anglo-American Phil Sci training Some exposure to Phil Tech questions Encountering PI questions as questions about technology Re-training in Phil Tech, PI Rewind and re-run classic Phil Sci questions in the light of PI
  • 3. Outlook of the contents
  • 4. PART 1: TOWARDS A PHILOSOPHY OF TECHNO-SCIENCE 2. Philosophy of Science or Philosophy of Technology 2.1 Parallel contexts and debates 2.2 PSP tries to bridge the gap 2.3 Neglected traditions: ‘Techno-science’ in French epistemology 2.4 What do we need a concept of ‘techno-science’ for? 3. Techno-scientific practices: theoretical framework and selected episodes 3.1 The ‘practice turn’ in sociology and in philosophy of science 3.2 How to study ‘practices’, in practice 3.3 Selected episodes of techno-scientific practices 3.3.1 What are these ‘episodes of’, exactly? 3.3.2 Episode 1: Molecular epidemiology and exposure research 3.3.3 Episode 2: Computational history of ideas and the e-Ideas project 3.3.4 Episode 3: The measurement of vitamin D 3.3.5 Episode 4: High energy physics and the ATLAS experiment 3.4 What is the role of instruments in the process of knowledge production? 4. Two tools from the Philosophy of Information 4.1 Why going informational? 4.2 The Philosophy of Information 4.2.1 Tool 1: Constructionism 4.2.2 Tool 2: The Method of the Levels of Abstraction 4.3 Perspectivism and the role of epistemic agents
  • 5. PART 2: THE EPISTEMOLOGY OF TECHNO- SCIENTIFIC PRACTICES 5. Modeling and validation in techno-scientific practices 5.1 What is a model? 5.1.1 A vast literature to organize and systematize 5.1.2 Models as representations 5.1.3 Models as objects 5.2 Models and reality 5.2.1 Models mediate between epistemic agents and the world 5.2.2 Models helps epistemic agents isolating relevant factors 5.2.3 Models guide epistemic agents through the process, like a map 5.3 Methodological pluralism 5.3.1 A plurality of types of modeling practices 5.3.2 Methodological pluralism, styles of reasoning, and foliated pluralism 5.3.3 The perils of methodological imperialism 5.4 The practice of model validation 5.5 The materiality of modeling 6. The informational content of evidence 6.1 Models generate evidence 6.2 The limits of analytic approaches and the materiality of evidence 6.3 Evidence as semantic information 6.4 A practice approach to evidence and the case of evidence hierarchies
  • 6. PART 2: THE EPISTEMOLOGY OF TECHNO- SCIENTIFIC PRACTICES 7. Establishing the truth of techno-scientific claims 7.1 Why bother with truth? 7.1.1 Modelling, language, and truth 7.1.2 Examples of techno-scientific claims 7.2 The received view in analytic PhilSci: truth as correspondence 7.3 The PI approach: truth as correctness within a modeling framework 7.4 The conceptual design of ‘truth’: correctness, contextual correspondence, procedural objectivity, and the role of epistemic agents 8. Techno-scientific knowledge and the role of instruments 8.1. Propositional and situated knowledge 8.2 Knowledge is Relational 8.3 Knowledge is Distributed 8.4 Knowledge is Embodied 8.5 Knowledge is Material 8.5 ReDiEM-Knowledge 8.6 The role of instruments in the process of knowledge production 9. Poiêsis: how human and artificial epistemic agents co-produce knowledge 9.1 Why ‘poiêsis’? 9.2 Poiêsis, beyond epistêmê and technê 9.3 The poietic character of human epistemic agents 9.4 The poietic character of artificial agents 9.4.1 Technologies that can transform the environment 9.4.2 The semi/quasi-autonomous role of (non-digital) instruments 9.4.3 The agency of instruments 9.5 The epistemic and moral responsibility of knowledge co-production
  • 7. PART 3: THE ONTO- EPISTEMOLOGY OF TECHNO-SCIENTIFIC PRACTICES 10 Deriving ontology from epistemology 10.1 Ontoepistemology and constructionism 10.2 Agency, structures, and relations 11 The prospects of process-based ontologies 11.1 Entities and the ‘myth of substance’ 11.2 Entities or processes? 11.3 Process philosophies in (philosophical) context 11.4 Processes and interactions 12 Causality as information transmission 12.1 Do we need to ‘cement’ things together? 12.2 The mosaic of causal theory 12.3 Accounts of causal production 12.4 Tracing the transmission of information 12.5 Two episodes of information transmission 12.6 The ontoepistemological and constructionist character of information transmission
  • 8. Wither Philosophy of Techno-Science Research: Regaining the unity of philosophy, in the spirit of Hans Radder’s ‘Synthetic Philosophy’ Further dialogue with neighbouring disciplines, and with scientits / policy makers Teaching: Encouraging students to look at techno-scientific problems from multiple angles and perspectives And with a constructive and forward-looking approach