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Hybrid Event

24th - 25th October 2026 | Florence, Italy

International Conference on Machine Learning and Intelligent Systems (ICMLIS - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 1 — No Poverty
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 11 — Sustainable Cities and Communities
SDG 16 — Peace, Justice and Strong Institutions
Explore All Session Tracks
Track 01
Knowledge Representation in Social Sciences

This track focuses on the methodologies and frameworks for representing knowledge within social science domains. It aims to explore how knowledge representation can enhance understanding and analysis of social phenomena.

Track 02
Artificial Intelligence in Linguistic Analysis

This session will delve into the applications of artificial intelligence techniques in the field of linguistics. Participants will discuss innovative approaches to language processing and understanding through AI.

Track 03
Ontologies and the Semantic Web in Humanities

This track examines the role of ontologies in structuring knowledge within the humanities. It will highlight the integration of semantic web technologies to enhance accessibility and interoperability of cultural data.

Track 04
Knowledge Graphs for Social Research

This session will explore the construction and utilization of knowledge graphs in social research. Emphasis will be placed on their potential to uncover relationships and insights within complex social datasets.

Track 05
Reasoning Systems in Social Science Applications

This track investigates the development and application of reasoning systems in social science contexts. It will cover both theoretical frameworks and practical implementations that support decision-making processes.

Track 06
Expert Systems in Social Policy Analysis

This session will focus on the design and application of expert systems for analyzing social policies. Discussions will include case studies demonstrating the impact of these systems on policy formulation and evaluation.

Track 07
Symbolic AI in Linguistic Research

This track will highlight the contributions of symbolic AI to the field of linguistic research. It will cover topics such as formal language representation and the implications for natural language understanding.

Track 08
Machine Learning Techniques in Social Sciences

This session will explore the application of machine learning techniques to address challenges in social sciences. Participants will share insights on data-driven approaches to social phenomena analysis.

Track 09
Conceptual Modeling for Social Knowledge Systems

This track focuses on the development of conceptual models that facilitate the understanding of social knowledge systems. It aims to bridge theoretical concepts with practical applications in social research.

Track 10
Knowledge Discovery in Humanities Data

This session will examine techniques for knowledge discovery within humanities datasets. Participants will discuss innovative methods for extracting meaningful insights from diverse cultural and historical data.

Track 11
Cognitive Computing in Social Science Research

This track will explore the intersection of cognitive computing and social science research. It will highlight how cognitive systems can enhance analytical capabilities and improve understanding of human behavior.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.