When: TBD, July 06, 2026

Where: TBD.

Abstract: 

This tutorial explores the role of information design in studying and improving calibration for decision making. Calibration is crucial in scenarios where accurate predictions or decisions based on uncertain or incomplete information are necessary, such as in online markets, machine learning, or healthcare. In the first part, we will introduce the foundational concepts of calibration, the challenges in decision-making under uncertainty, and how information design techniques can be leveraged to study and enhance calibration. In the second part, we will delve into advanced topics, including applications of calibration in modern settings. Then there are three invited speakers who will present recent advances in calibration and information design. The tutorial aims to equip participants with a deep understanding of how to analyze and improve calibration in decision-making processes using principles from information design.

Target Audience:

• Everyone in the community (both researchers and students) with basic knowledge XYZ.

Tutorial Structure:

Session I (45 min): 

• Introduction, motivation, fundamental/technique connections. 

Session II (45 min): 

• Applications, conclusions, open problems.

Organizers: