Important Dates

Early Bird Registration :
4th October 2026

Paper Submission :
9th October 2026

Last date of Registration :
19th October 2026

Conference Date :
3rd - 4th November, 2026

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Conference Location

International Conference on Information Science and Big Data Analytics
(ICISBDA-26)

3rd - 4th November, 2026 Lisbon , Portugal

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Select the ideal registration category based on how you wish to participate in the conference.

Call for Paper

The International Conference on Information Science and Big Data Analytics invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. This global platform is designed for knowledge exchange, innovation, and cross-domain collaboration.

Focusing on key research areas such as Information Science, the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

Authors are invited to submit papers addressing, but not limited to:

Big data analytics techniques and tools

Data-driven decision making in organizations

Data mining for business intelligence

Ethics in big data analytics

Big data in healthcare applications

Real-time analytics for big data

Data visualization for big data insights

Big data challenges and solutions

Predictive analytics in various domains

Big data technologies and frameworks

Data governance in big data environments

Big data and social media analytics

Interdisciplinary approaches to big data

Big data for smart cities initiatives

Future trends in big data analytics

Big data security and privacy issues

Case studies in big data applications

Big data in financial services

Big data for environmental monitoring

Big data and machine learning integration

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process conducted by subject matter experts to ensure originality, technical quality, and relevance.

Accepted papers will be presented during the conference and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.

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Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Categories

Important Announcements

Abstract Submissions Open:
"We are now accepting abstract submissions for the Research Foundation International Conference in Lisbon**. Submit your abstract by today to be part of this exciting international event. Submit Abstract Now!"

**Paper Submission Guidelines:
"Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."

Peer Review Process:
"The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Lisbon** conference."

Networking with Global Experts:
"Join global experts at our conference in Lisbon** and engage in meaningful conversations. Build relationships that last."

**Best Paper Presentation Award:
Mr. Hadeel Taleb from University of Manchester received the Best Paper Presentation Award at (ICENOM-25) in Zurich, Switzerland.

**SDG-Inspired Conference Focus:
"The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Important Dates

Downloads

Flyer Download

Sample Article

Sample Abstract

Sample PPT

International Conference on Information Science and Big Data Analytics
(ICISBDA-26)

3rd - 4th November, 2026 Lisbon , Portugal

Call for Paper

Big data analytics techniques and tools

Data-driven decision making in organizations

Data mining for business intelligence

Ethics in big data analytics

Big data in healthcare applications

Real-time analytics for big data

Data visualization for big data insights

Big data challenges and solutions

Predictive analytics in various domains

Big data technologies and frameworks

Data governance in big data environments

Big data and social media analytics

Interdisciplinary approaches to big data

Big data for smart cities initiatives

Future trends in big data analytics

Big data security and privacy issues

Case studies in big data applications

Big data in financial services

Big data for environmental monitoring

Big data and machine learning integration

Publication

Registration

Categories

Important Announcements

**Abstract Submissions Open: "We are now accepting abstract submissions for the Research Foundation International Conference in Lisbon. Submit your abstract by today to be part of this exciting international event. Submit Abstract Now!"

**Paper Submission Guidelines: "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."

**Peer Review Process: "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Lisbon conference."

**Networking with Global Experts: "Join global experts at our conference in Lisbon and engage in meaningful conversations. Build relationships that last."

**Best Paper Presentation Award: Mr. Hadeel Taleb from University of Manchester received the Best Paper Presentation Award at (ICENOM-25) in Zurich, Switzerland.

**SDG-Inspired Conference Focus: "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Important Dates

Downloads

Flyer Download

Sample Article

Sample Abstract

Sample PPT

International Conference on Information Science and Big Data Analytics (ICISBDA-26)

3rd - 4th November, 2026 Lisbon , Portugal

Call for Paper

Big data analytics techniques and tools

Data-driven decision making in organizations

Data mining for business intelligence

Ethics in big data analytics

Big data in healthcare applications

Real-time analytics for big data

Data visualization for big data insights

Big data challenges and solutions

Predictive analytics in various domains

Big data technologies and frameworks

Data governance in big data environments

Big data and social media analytics

Interdisciplinary approaches to big data

Big data for smart cities initiatives

Future trends in big data analytics

Big data security and privacy issues

Case studies in big data applications

Big data in financial services

Big data for environmental monitoring

Big data and machine learning integration

Publication

Registration

Abstract Submissions Open:
"We are now accepting abstract submissions for the Research Foundation International Conference in Lisbon**. Submit your abstract by today to be part of this exciting international event. Submit Abstract Now!"

**Paper Submission Guidelines:
"Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."

Peer Review Process:
"The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Lisbon** conference."

Networking with Global Experts:
"Join global experts at our conference in Lisbon** and engage in meaningful conversations. Build relationships that last."

**Best Paper Presentation Award:
Mr. Hadeel Taleb from University of Manchester received the Best Paper Presentation Award at (ICENOM-25) in Zurich, Switzerland.

**SDG-Inspired Conference Focus:
"The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

International Conference on Information Science and Big Data Analytics
(ICISBDA-26)