Track 1
Call for papers
ICASST-2026 · Baku, Azerbaijan · 15–21 October 2026
4th International Conference on Artificial Intelligence, Social Transformation and Scientific Progress
An international hybrid conference in Baku bringing researchers, policymakers, students, and practitioners together to discuss how AI, scientific innovation, and digital transformation are reshaping societies and human development.
- Dates
- 15–21 October 2026
- Location
- Baku, Azerbaijan
- Mode
- Hybrid (physical & virtual)
Overview
About ICASST-2026
ICASST-2026 brings researchers, academics, practitioners, students, and policy professionals together to discuss how artificial intelligence and scientific progress are transforming society. The conference focuses on responsible innovation, digital governance, education, health, work, sustainability, media, and public life, while offering space for research presentation, networking, and cross-disciplinary collaboration in Baku.
The 4th International Conference on Artificial Intelligence, Social Transformation and Scientific Progress (ICASST-2026) will be held from 15–21 October 2026 in Baku, Azerbaijan, in hybrid mode, allowing both physical and virtual participation.
Organized by the Research Consultancy on Social and Management Development (RCSMD), ICASST-2026 will bring together researchers, academics, professionals, policymakers, students, and practitioners to discuss how artificial intelligence, scientific innovation, and digital transformation are reshaping societies, institutions, economies, and human development.
The conference will provide an international platform for scholarly exchange, professional networking, research presentation, publication opportunities, and cross-disciplinary dialogue.
Ready to join ICASST-2026?
Submit your abstract or complete registration
Submit your abstract, complete registration, or contact the organizing team for participation guidance. ICASST-2026 welcomes both physical and virtual delegates.
Conference themes
Six tracks for interdisciplinary exchange
Welcoming multidisciplinary research from all academic disciplines to enhance the conference scope.
Track 2
AI Ethics, Governance and Human Dignity
Track 3
AI in Education, Healthcare and Public Services
Track 4
Digital Economy, Management and Future of Work
Track 5
AI, Climate Resilience and Sustainable Development
Track 6
Media, Misinformation and Digital Democracy
Why this conference
Why this conference—why now?
AI is rapidly shaping economies, public services, education, and healthcare. Yet benefits and risks are unevenly distributed, especially in underserved and emerging contexts. Institutions need evidence-based guidance to adopt AI responsibly, align investments with public value, and prepare a skilled workforce. ICASST-2026 provides a neutral platform to share research, proven practices, and policy insights that can be localized and scaled.
The main purpose of ICASST-2026 is to promote interdisciplinary dialogue on the role of artificial intelligence and scientific progress in social transformation. The conference objectives are to:
01
Promote research on artificial intelligence, society, science, and development.
02
Connect scholars, practitioners, policymakers, and industry professionals through an international platform.
03
Encourage responsible innovation through discussion on AI ethics, governance, human rights, and digital inclusion.
04
Showcase research and practical solutions in education, healthcare, governance, climate resilience, management, and social development.
05
Support academic capacity-building through paper presentations, publication opportunities, and professional networking.
Expected outcomes
What the conference will deliver
By convening diverse disciplines in a hybrid format, ICASST-2026 aims to translate innovation into social progress—supporting inclusive growth, informed policymaking, and ethical technology adoption.
A curated set of accepted abstracts, extended abstracts, and full papers will be published in the International Journal of Multidisciplinary Conference Proceedings (www.ijmcp.com).
Cross-sector collaborations for pilots and funded projects.
Practical recommendations for institutions adopting AI responsibly.
Recognition of outstanding research and presentations.
Programme
Highlights, training, and travel support
A hybrid academic gathering with paper sessions, workshops, and a full on-site package in Baku.
Key highlights
- International keynote speakers
- Technical paper sessions
- Panel discussions
- Training workshops
- Certificates and global networking
- Hybrid participation for physical and virtual delegates
Trainings included
- MAXQDA (qualitative data analysis)
- SMART PLS-SEM (structural equation modelling)
- EndNote (reference management)
- Training on indexing
- Conference participation and materials
- Publication material included
Travel services in the physical package
- Airport transfers
- Guided city tour
- Cultural and historical site visits
- Local transportation
- 24/7 on-ground assistance
Registration
Choose a participation category
Physical and virtual options are available. Register through the official form, then follow the payment instructions from the organising team.
On-site delegates
Physical Full Package
USD 900
Conference, hotel, breakfast, airport transfers, local transport, Baku city tour, visa processing assistance, and return air ticket.
Online delegates
International Virtual
USD 100
Online presentation, virtual sessions, training access, certificate, conference material, and publication opportunity.
Students in Pakistan
Pakistan Student Virtual
PKR 2,000
Online presentation, certificate, material, virtual networking, and proceedings opportunity.
Faculty and professionals in Pakistan
Pakistan Faculty / Professional Virtual
PKR 3,000
Online presentation, certificate, material, virtual networking, and proceedings opportunity.
Cultural experience
Covered places in Baku
Physical delegates can experience key cultural and historic sites as part of the conference programme.
- Old City / Icherisheher
- Ateshgah Fire Temple
- Heydar Aliyev Center
- Little Venice
- Nizami Street
- Baku Boulevard
Venue
Conference stay in Baku
On-site delegates are hosted through the physical full package, with accommodation arranged at partner hotels.
Partner hotel
Atlas Hotel
Partner hotel
Dimond Hotel
Welcome
Message from the session chair
It is my pleasure to welcome scholars, professionals, and emerging researchers to ICASST-2026. This conference offers a timely platform to discuss how artificial intelligence, social transformation, and scientific progress can shape more responsible, inclusive, and future-ready societies. We look forward to meaningful academic exchange, innovative ideas, and collaborations that extend beyond the conference sessions. I warmly invite all participants to contribute actively and make this gathering a valuable space for knowledge, dialogue, and impact.
Dialogue
Join as a delegate
Panel discussion
ICASST-2026 will host panel conversations on how artificial intelligence, social transformation, and scientific progress can be translated into responsible practice across sectors.
Panel discussion themes
Key topics for expert panel discussions
Sustainability and Climate Resilience
01
Innovation and Digital Transformation
02
AI and Social Development
03
Ethics, Governance and Inclusive Societies
04
Organized partners
Who is delivering ICASST-2026
The conference is organized by RCSMD, with accepted work published through the International Journal of Multidisciplinary Conference Proceedings.
Organizer
Research Consultancy on Social and Management Development
Publication partner
International Journal of Multidisciplinary Conference Proceedings
Conference flyer
4th ICASST-2026 conference, Baku
Download or view the official conference flyer for a complete snapshot of tracks, travel support, and participation details.
From the conference archive
Scholarly gatherings in practice
Publication ethics
Plagiarism policy & publication ethics
ICASST-2026 follows a strict anti-plagiarism and publication ethics policy. All submitted papers will be reviewed for originality and similarity. Submissions found to contain plagiarism, duplicate publication, unethical authorship, fabricated data, or academic misconduct may be rejected at any stage of the review or publication process. Authors are responsible for ensuring that their work is original, properly referenced, ethically conducted, and not submitted elsewhere in a conflicting manner.