Hybrid Conferencee

International Conference on Data Analytics, Information Science, and AI (ICDAISA - 26)

23rd - 24th October 2026 | Las vegas, USA
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Las vegas. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Las vegas event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Las vegas conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Las vegas, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Las vegas."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 1
SDG 1 No Poverty
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Data-Driven Decision Making in Social Sciences

This track explores the integration of data analytics in social science research, emphasizing methodologies that enhance decision-making processes. Participants will discuss case studies and frameworks that leverage data to inform policy and practice in various social contexts.

Track 02

Artificial Intelligence in Humanities Research

This session focuses on the application of artificial intelligence techniques in the humanities, examining how AI can facilitate new insights and interpretations. Scholars will present innovative projects that utilize AI to analyze historical texts, art, and cultural artifacts.

Track 03

Machine Learning Applications in Social Research

This track highlights the use of machine learning algorithms in social research, showcasing their potential to uncover patterns and trends in complex datasets. Presentations will cover diverse applications, from survey analysis to social media data mining.

Track 04

Big Data and Its Impact on Society

This session investigates the implications of big data on societal structures and individual behaviors, addressing both opportunities and challenges. Researchers will present findings on how big data analytics can shape public opinion, consumer behavior, and social interactions.

Track 05

Knowledge Discovery in Social Networks

This track delves into the methodologies of knowledge discovery within social networks, focusing on techniques that extract meaningful insights from social media and online interactions. Participants will share research on network analysis, sentiment analysis, and community detection.

Track 06

Predictive Analytics in Social Policy

This session examines the role of predictive analytics in shaping social policy and governance, highlighting tools that forecast social trends and outcomes. Researchers will discuss ethical considerations and the effectiveness of predictive models in real-world applications.

Track 07

Computational Methods in Information Science

This track focuses on computational techniques and their applications in information science, emphasizing algorithm development and data processing. Presenters will explore advancements in computational methods that enhance data retrieval, storage, and analysis.

Track 08

Ethics of AI and Data Analytics in Social Research

This session addresses the ethical implications of using AI and data analytics in social research, focusing on issues of privacy, consent, and bias. Scholars will engage in discussions about best practices and frameworks for ethical research in the digital age.

Track 09

Interdisciplinary Approaches to Data Science

This track promotes interdisciplinary collaboration in data science, encouraging participants to share insights from various fields such as sociology, psychology, and cultural studies. Presentations will highlight how diverse perspectives can enrich data analysis and interpretation.

Track 10

Information Systems for Social Change

This session explores the development and implementation of information systems designed to promote social change and community engagement. Researchers will present case studies demonstrating the impact of these systems on social initiatives and public awareness.

Track 11

Trends in Data Visualization for Social Sciences

This track focuses on the latest trends in data visualization techniques tailored for social science research, emphasizing clarity and accessibility. Participants will discuss innovative visual tools that enhance the communication of complex data to diverse audiences.