A5100661141- Philosophy and History of Science
- Bayesian Modeling and Causal Inference
- Qualitative Comparative Analysis Research
- Health, Environment, Cognitive Aging
- Advanced Causal Inference Techniques
- Health Systems, Economic Evaluations, Quality of Life
- Meta-analysis and systematic reviews
- Biomedical Text Mining and Ontologies
- Health Policy Implementation Science
- Race, Genetics, and Society
- Cognitive Science and Mapping
- Complex Systems and Decision Making
- Global Public Health Policies and Epidemiology
- Ethics and Social Impacts of AI
- Health disparities and outcomes
- Obesity and Health Practices
- Information Systems Theories and Implementation
- Public Health Policies and Education
- Mental Health and Psychiatry
- Semantic Web and Ontologies
- Gene Regulatory Network Analysis
- Climate Change Communication and Perception
- Decision-Making and Behavioral Economics
- Computability, Logic, AI Algorithms
- Network Traffic and Congestion Control
Utrecht University
2023-2025
University College London
2017-2025
University of Amsterdam
2015-2024
Amsterdam University College
2023
Netherlands Institute for Advanced Study in the Humanities and Social Sciences
2023
Amsterdam University of the Arts
2023
KU Leuven
2009-2020
Universitair Ziekenhuis Leuven
2020
Vrije Universiteit Amsterdam
2012-2019
Laboratoire d’Économie d’Orléans
2011-2017
Abstract We argue that the health sciences make causal claims on basis of evidence both physical mechanisms, and probabilistic dependencies. Consequently, an analysis causality solely in terms mechanisms or relationships, does not do justice to these sciences. Yet there seems be a single relation cause sciences—pluralism about will either. Instead, we maintain, require theory unifies its mechanistic aspects. epistemic provides required unification. Acknowledgements This research forms part...
Critical Data Studies (CDS) explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat as only scientifically empirical therefore largely neutral phenomena, CDS advocates view that should be seen always-already constituted within wider data assemblages. Assemblages is a concept helps capture multitude of ways already-composed structures inflect interact with society, its organization functioning, resulting impact on individuals’ daily lives. questions...
Head hits cause brain damage - but not always. Should we ban sport to protect athletes? Exposure electromagnetic fields is strongly associated with cancer development does that mean exposure causes cancer? encourage old fashioned communication instead of mobile phones reduce rates? According popular wisdom, the Mediterranean diet keeps you healthy. Is this belief scientifically sound? public health bodies consumption fresh fruit and vegetables? Severe financial constraints on research...
Public health and the underlying disease processes are complex, often involving interaction of biologic, social, psychologic, economic, other that may be nonlinear adaptive have features complex systems. There is therefore a need to push boundaries public beyond single-factor data analysis expand capacity research methodology tackle real-world complexities. This article sets out way operationalize systems thinking in health, with particular focus on how epidemiologic methods can contribute...
Abstract The need for fair and just AI is often related to the possibility of understanding itself, in other words, turning an opaque box into a glass box, as inspectable possible. Transparency explainability, however, pertain technical domain philosophy science, thus leaving ethics epistemology largely disconnected. To remedy this, we propose integrated approach premised on idea that glass-box should explicitly consider how incorporate values normative considerations, such intersectoral...
Abstract In the science and values literature, scholars have shown how is influenced shaped by values, often in opposition to ‘value free’ ideal of science. this paper, we aim contribute literature showing that relation between flows not only from into scientific practice, but also (allegedly neutral) themselves. The extant ‘science values’ field focuses large on reconstructing, post hoc, science; our reconstruction case studies, instead, aims show concepts methods too, because specific...
A-t-on nécessairement besoin de données longitudinales pour inférer des relations causales ? Il est généralement admis que les causes précèdent leurs effets dans le temps. Cela justifie usuellement la préférence études par rapport aux transversales, parce premières permettent modèlisation du processus dynamique engendrant résultat, tandis secondes ne peuvent pas. Les partisans l’approche longitudinale proposent deux justifications interdépendantes : (i) l’inférence causale nécessite suivi...
Abstract Research in the health sciences has been highly successful revealing aetiologies of many morbidities, particularly those involving microbiology communicable disease. This success helped form a narrative to be found numerous public documents, about interventions reduce burden non‐communicable diseases (e.g., obesity or alcohol related pathologies). These focus on tackling purported pathogenic factors causing as means prevention. In this paper, we argue that approach sub‐optimal. The...
This article provides a systematic and pluralistic theory of causation that fits the kind reasoning commonly found in mixed methods research. It encompasses variety causal concepts, notions, approaches, methods. Each instantiation is like mosaic, where image appears when tiles are appropriately displayed. means researchers should carefully construct mosaic for each research study, articulating what causally relevant given their particular questions, purposes, contexts, methods,...
Abstract Epistemic diversity is the ability or possibility of producing diverse and rich epistemic apparati to make sense world around us. In this paper we discuss whether, what extent, different conceptions knowledge—notably as ‘justified true belief’ ‘distributed embodied cognition’—hinder foster diversity. We then link discussion widespread move in science philosophy towards monolingual disciplinary environments. argue that English, despite all appearance, no Lingua Franca, give reasons...
This paper proposes a novel framework for the development of interventions in vulnerable populations. The combines complex systems lens with syndemic theory. Whereas funding bodies, research organizations and reporting guidelines tend to encourage intervention that (i) focuses on singular predefined health outcomes, (ii) searches generalizable cause-effect relationships, (iii) aims identify universally effective interventions, suggests different direction is needed addressing inequities: We...
The Recursive Bayesian Net (RBN) formalism was originally developed for modelling nested causal relationships. In this paper we argue that the can also be applied to hierarchical structure of mechanisms. resulting network contains quantitative information about probabilities, as well qualitative mechanistic and relations. Since mechanisms relations is vital prediction, explanation control respectively, an RBN all these tasks. We show in particular how a simple two-level used model mechanism...
A large part of contemporary medicine is concerned with describing and understanding the biological mechanisms involved in disease causation. Comparatively less attention has been paid to socioeconomic behavioral underlying disease. This article argues for an integration social, behavioral, factors explanation pathogenesis, a perspective that accord vision pioneer public health practitioners 19th century, but gradually overtaken by dominance biomedical model. In recent decades, social...