[CfP] Information Processing & Management Journal (Impact Factor: 8.1) and Conference Hybrid Event, Special Issue/Thematic Track on "Data Elements and Data-intelligence Empowerment"

[ptaszynski]

Dear Colleagues,

** Apologies for cross-posting **

This is Michal Ptaszynski from Kitami Institute of Technology, Japan.
 
We are accepting papers for joint hybrid event: Information Processing & Management Conference (IP&MC 2026) and Information Processing & Management Journal (IP&M) (IF: 8.1) Special Issue / Thematic Track on "Data Elements and Data-intelligence Empowerment".

The submission closes on July 31, 2026, but your paper will be reviewed immediately after submission and will be published as soon as it is accepted.
Importantly, every paper accepted for IP&MC 2026 conference presentation will have to be presented in-person on 2026/10/30--11/01 at the conference venue in Wuhan, China

We hope you will consider submitting your paper.

https://www.elsevier.com/en-gb/events/conferences/all/information-processing-and-management-conference/track-title#3-dataelements

Best regards,

Michal PTASZYNSKI, Ph.D., Professor
Text Information Processing Laboratory
Kitami Institute of Technology,
165 Koen-cho, Kitami, 090-8507, Japan
TEL/FAX: +81-157-26-9327
mic...@mail.kitami-it.ac.jp
https://ptaszynski.github.io


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                    Call for Papers:
        IP&M Special Issue and IP&MC Thematic Track on:
       "Data Elements and Data-intelligence Empowerment"

  Journal: Information Processing & Management (Impact Factor: 8.1)
  Conference: Information Processing & Management Conference 2026,
              2026/10/30--11/01, Wuhan, China
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Guest Editors / Track Chairs:

Jiang Wu, Wuhan University, China
Michal Ptaszynski, Kitami Institute of Technology, Japan
Qingpeng Zhang, University of Hong Kong, Hong Kong
Dongming Xu, University of Queensland, Australia (d....@business.uq.edu.au)
Cong Wang, Peking University, China

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INTRODUCTION
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In the digital economy, data has transformed from an operational byproduct into a core factor of production—what is termed the data element. This shift moves beyond the traditional focus on data volume (“big data”) toward an emphasis on data quality and value. Effective management of data elements is a prerequisite for business intelligence, organizational agility, and innovation. Consequently, identifying, governing, and utilizing these data elements is essential for empowering organizations to enhance business intelligence and secure a competitive advantage.

The interaction between data elements and information technologies empowers business analytics and decision-making across a range of digital scenarios (e.g., e-commerce, smart villages, digital health, and digital culture). In digital commerce, behavioral traces, transaction records, and inventory data, when processed through machine learning algorithms, enable personalized marketing, dynamic pricing, and supply chain optimization. Similarly, within digital health, electronic health records, wearable data, and genomic information, integrated with big data analytics and clinical decision support systems, facilitate early diagnosis, customized treatment, and efficient resource allocation.

This track seeks contributions that integrate diverse disciplinary perspectives to develop holistic solutions for governing data elements, unlocking their value, and ensuring regulatory compliance.

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TOPICS OF INTEREST
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We welcome submissions on the following topics, including but not limited to:

I. Foundations and Mechanisms of Data-Intelligence Empowerment
(1) Theorization and Standardization of Data Element
(2) The Mechanisms for Explaining the Empowerment of Data Intelligence

II. Digital Transformation and Data Element for Total Factor Productivity
(1) The Causality between Data Element Marketization and Productivity
(2) The Causality between Digital Technologies and Productivity

III. Data-Intelligence Scenarios Implementation and Impact
(1) Digital Commerce & Supply Chain
(2) Digital Tourism & Cultural Heritage
(3) Digital Healthcare & Well-being
(4) Digital Village & Rural Development

IV. AI-Driven Scientific Discovery and Innovation Paradigms
(1) AI for Hypothesis Generation
(2) AI for Experimental Design
(3) AI for Knowledge Synthesis

V. Technology-based data governance Frameworks for Digital Future
(1) Governance Effectiveness Metrics for Digital Future
(2) Human-AI Collaborative Governance Models for Digital Future



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SUBMISSION GUIDELINES
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Manuscripts submitted to this Special Issue must adhere to the
author guidelines of Information Processing & Management:

  https://www.sciencedirect.com/journal/information-processing-and-management/publish/guide-for-authors

All submissions must be original, unpublished works not currently
under review at any other venue. Each manuscript will undergo a
rigorous double-blind peer review process. Please ensure your
submission is fully anonymized in accordance with the journal's
double-blind review policy before uploading.

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IMPORTANT DATES
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  Deadline: 31 July 2026  

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HOW TO SUBMIT
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Paper and poster manuscripts should be submitted using the online abstract submission system.
https://app.oxfordabstracts.com/auth?redirect=/stages/80479/submitter


From there, please select IP&M Conference, and further: Thematic Track on: "Data Elements and Data-intelligence Empowerment"

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