[IISE Faculty List] Call for Papers — HICSS-60 Minitrack: Data Science, Agentic AI, and Machine Learning to Support Business Decisions

Delen, Dursun dursun.delen at okstate.edu
Sat Jun 13 03:11:12 EDT 2026


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Dear Colleagues,
As the co-chairs for the Data Science, Agentic AI, and Machine Learning to Support Business Decisions minitrack at the 60th Hawaii International Conference on System Sciences (HICSS-60), to be held January 5–8, 2027 at the Hilton Waikoloa Village on the Big Island of Hawaii, we would like to invite you to submit a paper and/or serve as a reviewer.
Data science refers to the processing and analysis of data, in all its structured, unstructured, or multimodal varieties, to extract meaningful insights for business. Machine Learning and Generative AI have become so widespread that many business decisions are now improved not only via predictive models that learn from historical data, but also through autonomous agents and reasoning engines capable of complex problem-solving. This minitrack focuses on the decision-support aspects of data science, machine learning, and Generative AI, with specific emphasis on developing novel methods or models, adapting existing methods to emerging fields such as autonomous workflows, and discovering knowledge and actionable insights.
A representative list of general topic areas covered in this minitrack (which is not meant to be complete or comprehensive) includes:

  *   New or improved methods and algorithms in data science and/or machine learning.
  *   New or improved standardized processes and methodologies in data science.
  *   Novel, interesting, and impactful applications of data science and machine learning for supporting better managerial decision-making processes.
  *   Security, ethical, and privacy issues in data science and machine learning.
  *   Explainability, interpretability, and transparency of machine learning models.
  *   Natural language processing methodologies and innovative applications in business decision-making.
  *   Agentic AI, autonomous agents, and multi-agent systems for automating complex business workflows.
  *   Human-AI collaboration frameworks for teaming, delegation, and oversight in critical decision loops.
  *   Generative AI methodologies for decision support, including RAG (Retrieval-Augmented Generation) and fine-tuned LLMs for specialized industry decisions.

Important Dates
If you are interested in submitting a manuscript for review, please note the following deadlines (taken from the HICSS website: https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhicss.hawaii.edu%2F&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C23831f8ecd73467b21f208dec91af4ec%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C639169314799895567%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rejXa4a1uvzG%2B90T1z20S0NuRXk%2Br%2FZoQfE7j%2FtnLSA%3D&reserved=0):
June 15, 2026    Paper submission deadline. Submit full manuscripts for review (by 11:59 pm HST). The review is double-blind; therefore, this submission must not include author names.
August 17, 2026    Notification of Acceptance/Rejection. Acceptance notices are emailed to authors by the Review System. At least one author of each accepted paper must immediately make plans to attend the conference, including initiating fiscal, visa, or other travel guarantees.
September 22, 2026    Deadline for Final Manuscript. Submit Final Paper for Publication by 11:59 pm HST.
October 1, 2026    Deadline for at least one paper author to register for HICSS-60. At least one author of each paper should register by this date in order to secure publication in the Proceedings.
If you are willing to be a reviewer, please notify us as soon as possible, and indicate the number of manuscripts (1, 2, or more) you would be willing to review. Also, if you have any questions, please feel free to contact any of the minitrack co-chairs.
Sincerely,
Dursun Delen
Oklahoma State University
dursun.delen at okstate.edu<mailto:dursun.delen at okstate.edu>
Behrooz Davazdahemami
University of Wisconsin – Whitewater
davazdab at uww.edu<mailto:davazdab at uww.edu>
Hamed Zolbanin
University of Dayton
hzolbanin1 at udayton.edu<mailto:hzolbanin1 at udayton.edu>


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