Predicting and explaining with machine learning models
Social science as a touchstone
Bibliographic Data
| ID | 10799595 |
|---|---|
| Authors | Oliver Buchholz (0000-0002-4905-753X), Thomas Grote (0000-0002-9832-6046) |
| Year | 2023 |
| Volume | 102 |
| Pages | 60-69 |
| Publication date | 2023-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studies in History and Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0039-3681 • E-ISSN: 1879-2510 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.shpsa.2023.10.004 |
| PMID | 39492378 |
| OpenAlex | W4388064706 |
| Language | EN |
| Citations received | 4 |
| References cited | 53 |
Data science · Epistemology · Field (mathematics · Machine learning · Natural (archaeology · Natural science · Predictive modelling · Computational and Text Analysis Methods · Computer Science · Data Analysis with R · Explainable Artificial Intelligence (XAI · Mathematics · Philosophy · Artificial Intelligence
Data-Centric Biology
Human Decisions and Machine Predictions
Machine learning
Statistical Modeling
Choosing Prediction Over Explanation in Psychology
Algorithmic amplification of politics on Twitter
Agent-based modeling
Using publicly available satellite imagery and deep learning to understand economic well-being in Africa
Causation in biology
Mobility network models of Covid-19 explain inequities and inform reopening
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
To Explain or to Predict?
Integrating explanation and prediction in computational social science
Beyond prediction
The Mythos of Model Interpretability
Measuring the predictability of life outcomes with a scientific mass collaboration
Combining satellite imagery and machine learning to predict poverty
Fair Prediction with Disparate Impact
Dissecting racial bias in an algorithm used to manage the health of populations
Can Robots Do Epidemiology? Machine Learning, Causal Inference, and Predicting the Outcomes of Public Health Interventions
Statistical Models and Shoe Leather
Predictive Success and Non-Individualist Models in Social Science
Vindicating methodological triangulation
Big data and prediction
No understanding without explanation
Understanding climate phenomena with data-driven models
Opinion Polling and Election Predictions
Studies in the Logic of Explanation
Inductive Risk, Understanding, and Opaque Machine Learning Models
Aspects of Theory-Ladenness in Data-Intensive Science
Transparency in Complex Computational Systems
The Efficiency Question in Economics
Understanding from Machine Learning Models
Social Science as a Guide to Social Metaphysics
Distinguished Lecture
Philosophy of science at sea
A large-scale analysis of racial disparities in police stops across the United States
Deep learning
Machine Learning
Introduction to the Special Collection on the Fragile Families Challenge
Black-Box Models and Sociological Explanations
When 4 ≈ 10,000
Causal Mechanisms in the Social Sciences
Common Sense and Sociological Explanations
| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |