Hybrid Conferencee

International Conference on Visualization and Interactive Data Analytics (ICVIDA - 27)

28th - 29th April 2027 | Kyiv, Ukraine
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Kyiv. 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 Kyiv 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 Kyiv conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kyiv, 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 Kyiv."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Data Visualization Techniques

This track focuses on the latest methodologies and tools for effective data visualization. Participants will explore innovative approaches to represent complex data sets and enhance interpretability.

Track 02

Interactive Data Analytics in Real-Time Systems

This session emphasizes the integration of interactive data analytics within real-time applications. Discussions will revolve around the challenges and solutions for processing and visualizing data on-the-fly.

Track 03

Machine Learning Algorithms for Data Representation

This track investigates the role of machine learning in improving data representation techniques. Researchers will present novel algorithms that enhance the understanding of high-dimensional data.

Track 04

Artificial Intelligence in Predictive Analytics

This session delves into the application of artificial intelligence in predictive analytics. Participants will examine case studies and frameworks that leverage AI for accurate forecasting and decision-making.

Track 05

Big Data Challenges and Solutions in Visualization

This track addresses the unique challenges posed by big data in the context of visualization. Experts will discuss scalable solutions and best practices for effectively visualizing large datasets.

Track 06

Human-Computer Interaction in Data Science

This session explores the intersection of human-computer interaction and data science. The focus will be on designing user-centric interfaces that facilitate intuitive data exploration and analysis.

Track 07

Pattern Recognition Techniques in Data Analytics

This track highlights advanced pattern recognition techniques utilized in data analytics. Researchers will share insights on algorithms that detect trends and anomalies in diverse data sets.

Track 08

Decision Support Systems Powered by Data Science

This session examines the development of decision support systems that leverage data science methodologies. Participants will discuss frameworks that integrate data-driven insights into strategic decision-making.

Track 09

Ethics and Transparency in Data Visualization

This track addresses the ethical considerations and transparency issues in data visualization practices. Discussions will focus on ensuring integrity and accountability in data representation.

Track 10

Collaborative Approaches to Interactive Data Analysis

This session promotes collaborative methodologies in interactive data analysis. Participants will explore tools and frameworks that facilitate teamwork and knowledge sharing in data-driven projects.

Track 11

Emerging Trends in Data Science Research

This track showcases cutting-edge research and emerging trends in the field of data science. Researchers will present their findings on innovative applications and methodologies shaping the future of data analytics.