Lena Kästner
Biographic Data
| ID | 1308948 |
|---|---|
| NAME | Lena Kästner |
| GIVEN NAMES | Lena |
| FAMILY NAME | Kästner |
| SIGNATURE | KÄSTNER L |
| AFFILIATIONS | Saarland University |
| ORCID | 0000-0002-8747-6911 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 2 |
Modeling psychopathology: 4D multiplexes to the rescue
Accounts of mental disorders focusing either on the brain as neurophysiological substrate or on systematic connections between symptoms are insufficient to account for the multifactorial nature of mental illnesses. Recently, multiplexes have been suggested to provide a holistic view of psychopathology that integrates data from different factors, at different scales, or across time. Intuitively, these multi-layered network structures present quite…
Mechanistic inquiry and scientific pursuit: The case of visual processing
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “ stakeholders' desiderata ”) in a variety of contexts. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approache…
Disambiguating “Mechanisms” in Pharmacy: Lessons from Mechanist Philosophy of Science
Talk of mechanisms is ubiquitous in the natural sciences. Interdisciplinary fields such as biochemistry and pharmacy frequently discuss mechanisms with the assistance of diagrams. Such diagrams usually depict entities as structures or boxes and activities or interactions as arrows. While some of these arrows may indicate causal or componential relations, others may represent temporal or operational orders. Importantly, what kind of relation an ar…
Integrating mechanistic explanations through epistemic perspectives
Intervening into mechanisms: Prospects and challenges
In contemporary philosophy of science, the consensus view seems to be that scientific explanations describe mechanisms responsible for the phenomena to be explained. Two kinds of explanatory relevance figure in mechanistic accounts of explanation: causal (etiological) and constitutive. Following prominent accounts, it seems natural to analyze both these relations in terms of systematic interventions into some factor X with respect to another fact…
Integrating mechanistic explanations through epistemic perspectives
Intervening into mechanisms: Prospects and challenges
In contemporary philosophy of science, the consensus view seems to be that scientific explanations describe mechanisms responsible for the phenomena to be explained. Two kinds of explanatory relevance figure in mechanistic accounts of explanation: causal (etiological) and constitutive. Following prominent accounts, it seems natural to analyze both these relations in terms of systematic interventions into some factor X with respect to another fact…
Modeling psychopathology: 4D multiplexes to the rescue
Accounts of mental disorders focusing either on the brain as neurophysiological substrate or on systematic connections between symptoms are insufficient to account for the multifactorial nature of mental illnesses. Recently, multiplexes have been suggested to provide a holistic view of psychopathology that integrates data from different factors, at different scales, or across time. Intuitively, these multi-layered network structures present quite…
Mechanistic inquiry and scientific pursuit: The case of visual processing
Integrating mechanistic explanations through epistemic perspectives
Intervening into mechanisms: Prospects and challenges
In contemporary philosophy of science, the consensus view seems to be that scientific explanations describe mechanisms responsible for the phenomena to be explained. Two kinds of explanatory relevance figure in mechanistic accounts of explanation: causal (etiological) and constitutive. Following prominent accounts, it seems natural to analyze both these relations in terms of systematic interventions into some factor X with respect to another fact…
Disambiguating “Mechanisms” in Pharmacy: Lessons from Mechanist Philosophy of Science
Talk of mechanisms is ubiquitous in the natural sciences. Interdisciplinary fields such as biochemistry and pharmacy frequently discuss mechanisms with the assistance of diagrams. Such diagrams usually depict entities as structures or boxes and activities or interactions as arrows. While some of these arrows may indicate causal or componential relations, others may represent temporal or operational orders. Importantly, what kind of relation an ar…
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “ stakeholders' desiderata ”) in a variety of contexts. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approache…
Modeling psychopathology: 4D multiplexes to the rescue
Accounts of mental disorders focusing either on the brain as neurophysiological substrate or on systematic connections between symptoms are insufficient to account for the multifactorial nature of mental illnesses. Recently, multiplexes have been suggested to provide a holistic view of psychopathology that integrates data from different factors, at different scales, or across time. Intuitively, these multi-layered network structures present quite…
Mechanistic inquiry and scientific pursuit: The case of visual processing
Computer Science (5 works) · Epistemology (4 works) · Philosophy and History of Science (4 works) · Psychology (4 works) · Philosophy (3 works) · Philosophy (3 works) · Biology (2 works) · Cognitive psychology (2 works) · Cognitive science (2 works) · Computational Drug Discovery Methods (2 works)