Skip to content
Menu
IRAIS
  • Home
  • IRAIS Group
    • Join IRAIS Group
    • Go to IRAIS Group
    • Members Achievements
  • Events
    • Events Overview
    • IRAIS Conferences
      • IRAIS 2026
        • IRAIS 2026
        • Conference Committees
        • Conference Program
      • IRAIS 2025
        • IRAIS 2025
        • Conference Committee
        • IRAIS 2025: Conference Program
      • IRAIS 2024
      • IRAIS 2023
    • Knowledge Sharing
    • Academic Job Market
  • Publications
    • IRAIS 2026 Proceedings
    • IRAIS 2025 Proceedings
    • IRAIS 2024 Proceedings
    • IRAIS 2023 Proceedings
  • About Us
    • Board and Positions
    • IRAIS Bylaws
IRAIS

Methodology Workshop – Causal Inference Grounded in Causal Diagrams: Benefits, Limitations, and Opportunities for the Information Systems Field

October 14, 2026October 14, 2026 by Kasra Dolatkhahi

How can causal diagrams help researchers identify and communicate causal assumptions in Information Systems research?

The AIS Iranian Scholars Chapter (IRAIS) is pleased to invite you to our upcoming Methodology Workshop:

“Causal Inference Grounded in Causal Diagrams: Benefits, Limitations, and Opportunities for the Information Systems Field”

Causal diagrams and structural causal modeling (SCM) remain largely missing from IS research and PhD training. In this session, Dr. Ali Tafti (University of Illinois Chicago) and Dr. Galit Shmueli (National Tsing Hua University) will show how SCM can complement, rather than compete with, econometrics and potential outcomes approaches, adding a clearer layer for identifying and communicating causal assumptions.

Event Details:
📅 Friday, November 13, 2026
⏰ 1:00–2:30 p.m. Central Time (CST, UTC−06:00)
💻 Online via Microsoft Teams

Microsoft Teams Meeting

Join: Join the Microsoft Teams Workshop

PhD students, early-career researchers, and faculty working on empirical IS research are warmly welcome. Please share this opportunity with colleagues who might be interested!

We look forward to seeing you there!

Recent Posts

  • Knowledge Sharing – Partner or Rival? How Human-Artificial Intelligence Conflict Shapes Artificial Intelligence Aversion
  • IRAIS 2026 Conference Report
  • The Rise and Fall of Stars: The Swaying Effect of Displaying Online Rating Trends
  • IRAIS Election: Results Available
  • IRAIS Election: Register to Vote


Iranian Scholars Chapter of the AIS
  • Home
  • Join IRAIS Group
  • Go to IRAIS Group
  • Board and Positions
  • Events
  • Knowledge Sharing
  • IRAIS Proceedings
©2026 IRAIS | Powered by WordPress and Superb Themes!