Siirry pääsisältöön
If you continue browsing this website, you agree to our policies:
  • Cookies Policy
Continue
x
  • PathOS Training Toolkit
    0%
  • Previous
  • Introduction to causality in science studies
    Welcome to PathOS Training Toolkit!
    Practical Guide for Training Activites
    Guide for Training Activites
    Training Folder
    Template for Training Presentation
    Training Checklist for Organisers:
    Key Impact Pathways for Open Science
    Open Science Intervention Logic
    Key Impact Pathways for the Open Science Framework
    Introduction to causality in science studies
    The societal impact of Open Science–a scoping review
    The academic impact of Open Science: a scoping review
    Open Science Indicators Handbook
    Open Science Indicator Handbook
    Cost-Benefit Analysis Framework for Open Science
    Methodological note on the CBA of Open Science practices
    CBA of selected Open Science practices
  • Next
  • Categories
    • All categories
    Open Science
    • Open Access to publications
    • Research Data Management
    • Data Protection, Copyright, and Ethics in Research
    • OpenAIRE Open Science Train-the-trainer Bootcamps
    • Horizon Europe
    • FOSTER Open Science
    Country Specific Courses
    • Austria
    • Belgium
    • Croatia
    • Cyprus
    • Czech Republic
    • France
    • Greece
    • Hungary
    • Israel
    • Netherlands
    • Poland
    • Portugal
    • Serbia
    • Slovakia
    • Slovenia
    • Spain
    • Turkey
    • EIFL Train-the-Trainer bootcamps
    • PathOS
    • GraspOS
    • PATTERN
    OpenAIRE Services
    • ARGOS
    • OpenAIRE Graph
    • OpenAIRE PROVIDE
    • OpenAIRE Monitor
    • OpenAIRE CONNECT
    • OpenAIRE Explore
    • Amnesia
    • OpenOrgs
    • AMKE Members
    EOSC EU Node
    • Getting started
    • Resource Hub
    • Tools Hub
    • Virtual Machines
    • Large File Transfer
    • File Sync & Sharing
    • Cloud Container Platform
    • Bulk Data Transfer
    • Interactive Notebooks
    Infrastructure
    EOSC
    • End-users
    • Providers
    • Intermediaries/Facilitators
    • Trainers
    • Learning Paths
  • Etusivu
  • Reports & Analytics
  • All Courses
  • Guides & Policies
Suomi ‎(fi)‎
Deutsch ‎(de)‎ English ‎(en)‎ Español - Internacional ‎(es)‎ Français ‎(fr)‎ Hrvatski ‎(hr)‎ Italiano ‎(it)‎ magyar ‎(hu)‎ Nederlands ‎(nl)‎ Polski ‎(pl)‎ Português - Portugal ‎(pt)‎ Slovenčina ‎(sk)‎ Slovenščina ‎(sl)‎ Suomi ‎(fi)‎ Türkçe ‎(tr)‎ Ελληνικά ‎(el)‎ Српски ‎(sr_cr)‎ עברית ‎(he)‎
Käytät vierailijatunnusta
Kirjaudu
Categories Tiivistä Laajenna
  • All categories
Open Science
  • Open Access to publications
  • Research Data Management
  • Data Protection, Copyright, and Ethics in Research
  • OpenAIRE Open Science Train-the-trainer Bootcamps
  • Horizon Europe
  • FOSTER Open Science
Country Specific Courses
  • Austria
  • Belgium
  • Croatia
  • Cyprus
  • Czech Republic
  • France
  • Greece
  • Hungary
  • Israel
  • Netherlands
  • Poland
  • Portugal
  • Serbia
  • Slovakia
  • Slovenia
  • Spain
  • Turkey
  • EIFL Train-the-Trainer bootcamps
  • PathOS
  • GraspOS
  • PATTERN
OpenAIRE Services
  • ARGOS
  • OpenAIRE Graph
  • OpenAIRE PROVIDE
  • OpenAIRE Monitor
  • OpenAIRE CONNECT
  • OpenAIRE Explore
  • Amnesia
  • OpenOrgs
  • AMKE Members
EOSC EU Node
  • Getting started
  • Resource Hub
  • Tools Hub
  • Virtual Machines
  • Large File Transfer
  • File Sync & Sharing
  • Cloud Container Platform
  • Bulk Data Transfer
  • Interactive Notebooks
Infrastructure
EOSC
  • End-users
  • Providers
  • Intermediaries/Facilitators
  • Trainers
  • Learning Paths
Etusivu Reports & Analytics All Courses Guides & Policies
Näytä kaikki Tiivistä kaikki
Course Menu
  1. PathOS Training Toolkit
  2. Key Impact Pathways for Open Science
  3. Introduction to causality in science studies

Introduction to causality in science studies

Suorituksen vaatimukset

The paper provides an introduction to structural causal models, which are essential for making sound causal inferences in science studies. The authors explain the importance of distinguishing between correlation and causation and illustrate how structural causal models can be used to make causal assumptions explicit. By using graphical representations of causal models, researchers can better communicate their assumptions and findings, thereby fostering clearer discussions and more robust causal inferences. 

Klikkaa linkkiä Introduction to causality in science studies
Previous Activity
Next Activity
Ota yhteyttä ylläpitoon
Käytät vierailijatunnusta (Kirjaudu)
Yhteenveto tietojen säilytyksestä
Sivuston käytänteet
Hanki mobiilisovellus
Toimii Moodlella









Privacy Policy Terms & Conditions

© 2025 OpenAire