Decision making is a cognitive process that involves selecting a course of action or choice from among multiple alternatives. It's a fundamental aspect of human life and is present in various contexts, ranging from everyday situations to complex professional, personal, and strategic scenarios, such as resource allocations, risk management, strategic planning, cybersecurity, supply chain management, Web information systems (e.g., information retrieval and recommender systems), and so forth. Factors influencing decision making may include cognitive biases (mental shortcuts that can lead to errors in judgment), emotions, cultural and social influences, personal experiences, time constraints, and the availability of information.

Optimization, on the other hand, is a systematic process that aims to find the best possible solution based on specific criteria. It involves mathematical and computational techniques to minimize or maximize an objective function while adhering to a set of constraints. Optimization seeks to identify the globally optimal solution, which is the best solution achievable according to the defined criteria. Multiple optimization techniques have been proposed and applied in machine learning and AI, such as convex optimization, non-linear optimization, evolutionary algorithms, multi-objective optimization, game theroies, etc.

This workshop aims to enable information systems embrace the community of decision making and optimization. Particularly, we encourage submissions which take advantage of decision making and/or optimization methods to help build better intelligence information systems. The topics of interests in this work include but are not limited to the followings.

Topics of Interest (but not limited to)

  • Decision Making and Optimization Methods
    • Group Decision Making
    • Multi-Criteria Decision Making
    • Multi-Objective Decision Making and Optimization
    • Evolutionary Algorithms
    • Applied Game Theory
    • Applied Optimization Technologies
    • Decision Making and Negotiation Analysis
    • Human factor-based Decision Making, e.g., personality, trust, emotional analysis

  • Information Systems or Applications (with the methods above)
    • Business Analytics
    • E-Commerce
    • FinTech
    • Online Streaming
    • Multimedia Systems and Applications
    • Web intelligence (e.g., information retrieval, recommender systems, social Web)
    • Educational Technologies
    • Web-based and E-Learning Systems

Submission Instructions
Proceedings of Workshops will be published by Springer in the same proceedings with AINA-2024 main conference. AINA proceedings in the previous years can be found at here. In terms of the submission system and instructions, please refer to the conference website.

Important Dates
  • Submission Deadline: November 15, 2023
  • Notification of acceptance: January 10, 2024
  • Author Registration: January 31, 2024
  • Final Manuscript: January 31, 2024
  • Conference Dates: April 17 - April 19, 2024