The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI 2026) was efficiently organized by the School of Computing, Goldsmiths, University of London, The convention was carried out in hybrid mode on tenth–eleventh April 2026.
London, United Kingdom: The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI 2026) concluded efficiently after bringing collectively researchers, academicians, business professionals, innovators, and students from throughout the globe to debate rising developments in Data Science, Artificial Intelligence, and accountable technological innovation.
DASGRI 2026 attracted roughly 750 analysis paper submissions from 16 international locations, demonstrating sturdy worldwide participation and rising curiosity in AI-driven options for societal and industrial challenges. Following a rigorous double-blind peer-review course of, 110 papers have been accepted for presentation, leading to a aggressive acceptance fee of 15 p.c. The accepted papers have been offered through the two-day convention and can be revealed within the Springer Lecture Notes on Networks and Systems (LNNS) sequence, listed by Scopus, Web of Science, and different main educational databases.
In addition to its analysis program, the convention promoted innovation and entrepreneurship by way of the AI Tool Development Challenge 2026, organized in alignment with the United Nations Sustainable Development Goals (SDGs). The problem obtained 180 registrations throughout seven SDG-focused themes. Following a number of rounds of analysis, 70 groups have been shortlisted for the choice stage, with 16 groups advancing to the ultimate spherical.
The occasion witnessed the enthusiastic participation of roughly 235 attendees, reflecting a powerful spirit of worldwide collaboration, interdisciplinary analysis, and data trade.
Speaking in regards to the significance of the convention, Dr. Akshi Kumar, Conference Chair, School of Computing, Goldsmiths, University of London, highlighted the rising want for accountable innovation and significant collaboration between academia and business.
“DASGRI 2026 reflects the growing global momentum behind Data Science and Artificial Intelligence as powerful tools for addressing real-world challenges. Our objective is to create a platform where researchers, practitioners, and innovators can exchange ideas, foster collaboration, and contribute to technologies that generate positive societal impact. The quality of research presented this year demonstrates the remarkable progress being made across diverse domains of AI and data-driven innovation,” mentioned Dr. Akshi Kumar.
The convention concluded with a vote of thanks delivered by Dr. Akshi Kumar, recognizing the contributions of researchers, reviewers, keynote audio system, organizing committee members, business specialists, and members who contributed to the success of the occasion.
As a part of the convention’s dedication to recognizing excellent analysis contributions, a number of papers have been honored with the DASGRI 2026 Best Paper Award for his or her innovation, technical excellence, and potential real-world affect.
Honoring Research Excellence: DASGRI 2026 Best Paper Award Recipients
AI-Assisted Decision Support Framework for Managing Uncertainty and Complexity in Strategic Project Management
Authors:
- Rethish Nair Rajendran (Technical Delivery Manager, Unisys Corporation, New York, USA)
- Krunal Patel (Technical Program Manager and Independent Researcher, San Jose, California, USA)
- Shashank Bharadwaj (IT Project Manager, Asta CRS Inc., Newark, New Jersey, USA).
This award-winning analysis presents an AI-powered determination assist framework designed to assist organizations navigate uncertainty and complexity in strategic venture administration. By combining a number of machine studying strategies right into a unified analytical mannequin, the framework improves forecasting accuracy, threat evaluation, and decision-making capabilities in dynamic venture environments.
“Our research demonstrates how combining multiple AI approaches can provide project leaders with more reliable insights when navigating uncertainty and complex business decisions. We believe intelligent decision-support systems will play an increasingly important role in improving project outcomes across industries such as finance, healthcare, and infrastructure,” mentioned Rethish Nair Rajendran, Krunal Patel, and Shashank Bharadwaj.
Artificial Intelligence-Driven Project Management for Risk Prediction and Decision Support in Complex Engineering Projects
Author:
- Asadullah Saif Mohammed, Sr. Technical Program Manager (TPM), Texas, USA.
AIPM-RiskWeb is an progressive AI-powered framework that transforms threat administration for complicated engineering applications. The analysis combines real-time predictive analytics, federated studying, graph-based intelligence, and privacy-preserving AI. The framework permits organizations to determine rising dangers earlier, speed up decision-making, scale back venture delays, and reduce price overruns. The research demonstrates how clever venture administration methods can transfer past reactive reporting towards proactive, data-driven venture governance.
“As projects become increasingly complex and interconnected, organizations need intelligent systems that anticipate risks before they affect outcomes. This research demonstrates how AI can empower project leaders to make faster, smarter, and more secure decisions while improving delivery performance and operational resilience,” mentioned Asadullah Mohammed.
Hybrid Machine Learning Models for Portfolio Optimization and Risk Control in Financial Trading Systems
Author:
- Deepak Kumar Giri, Independent Researcher in Electronic Trading Systems Architecture, USA.
This analysis presents a hybrid machine studying framework designed to enhance portfolio optimization and threat administration in monetary buying and selling environments. By intelligently combining predictive analytics and reinforcement studying strategies, the proposed mannequin helps buyers make extra knowledgeable choices whereas repeatedly adapting to quickly altering and unpredictable market situations. The framework demonstrates sturdy efficiency throughout various asset courses, providing a scalable and strong resolution for contemporary algorithmic buying and selling.
“Modern financial markets require intelligent systems that can respond to volatility while maintaining disciplined risk management. My research explores how AI-driven trading frameworks can enhance both portfolio performance and decision-making accuracy,” mentioned Deepak Kumar Giri.
Cybersecure Embedded AI Systems for Remote Healthcare Monitoring in Smart Hospitals
Authors:
- Shiva Kumar Madishetty (Advanced Embedded Software Engineer, Mentor, Ohio, USA)
- Guru Charan Kakaraparthi (Cloud Engineer, Arlington, Texas, USA)
- Selvaraj Durairaj (Senior Technical Architect, Warren, New Jersey, USA).
This analysis proposes a cybersecure adaptive embedded AI framework for distant healthcare monitoring in sensible hospital environments. By integrating clever sensing, adaptive menace mitigation, and real-time edge analytics inside a unified structure, the framework helps safe affected person monitoring, enhanced scientific responsiveness, and improved healthcare information safety. The research explores a scalable strategy to addressing safety, intelligence, and operational effectivity inside next-generation healthcare monitoring methods.
“The future of healthcare depends on systems that are both intelligent and secure. Our work focuses on creating scalable healthcare technologies that can improve patient monitoring while safeguarding sensitive medical information,” mentioned Shiva Kumar Madishetty, Guru Charan Kakaraparthi, and Selvaraj Durairaj.
DevOps-Based AI Deployment for Embedded Automation Systems in Smart Factories
Author:
- Swathi Gangarapu, Senior Software Engineer & Architect, USA.
This analysis explores a DevOps-based framework for deploying synthetic intelligence options inside sensible manufacturing environments. By integrating AI, edge computing, and trendy CI/CD practices, the proposed strategy permits quicker deployment, improved reliability, and larger operational effectivity for industrial automation methods.
“The convergence of AI and DevOps is transforming how intelligent systems are deployed and managed in industrial environments. Our research highlights practical strategies for building scalable, resilient, and high-performing automation solutions for the next generation of smart factories,” mentioned Swathi Gangarapu.
Advancing Global Research and Innovation
The analysis acknowledged at DASGRI 2026 displays the rising affect of Data Science and Artificial Intelligence throughout vital sectors together with venture administration, healthcare, finance, manufacturing, and engineering. The award-winning research showcased progressive approaches to fixing complicated real-world challenges by way of clever methods, predictive analytics, cybersecurity, automation, and decision-support applied sciences.
As organizations worldwide proceed to embrace digital transformation, the analysis offered at DASGRI 2026 highlights the significance of growing accountable, scalable, and impactful AI options able to addressing each present and rising societal wants. The convention supplied an essential platform for researchers and business professionals to trade concepts, share discoveries, and foster collaborations that reach past geographical and disciplinary boundaries.
Strengthening International Collaboration
One of the defining traits of DASGRI 2026 was its sturdy worldwide participation and interdisciplinary focus. Researchers, practitioners, and expertise leaders from academia and business got here collectively to discover how rising applied sciences will be utilized responsibly to generate measurable social and financial affect.
By bringing collectively various views from a number of international locations {and professional} domains, the convention inspired significant dialogue on the way forward for synthetic intelligence, moral innovation, sustainable improvement, and technology-driven problem-solving. Such collaborations play an important position in accelerating scientific progress and reworking analysis outcomes into sensible options that profit society.
Conclusion
DASGRI 2026 efficiently strengthened its place as a premier worldwide discussion board devoted to advancing Data Science, Artificial Intelligence, and Responsible Innovation. Through its extremely selective analysis program, world participation, and recognition of excellent scholarly contributions, the convention demonstrated the transformative potential of rising applied sciences in addressing complicated challenges throughout industries and communities.
The success of DASGRI 2026 displays a shared dedication amongst researchers, innovators, and establishments to advertise excellence in scientific analysis, encourage interdisciplinary collaboration, and develop applied sciences that contribute to social good. The convention’s continued focus on impactful and accountable innovation ensures its rising affect inside the world analysis and expertise ecosystem.
About DASGRI
The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI) is a world educational {and professional} platform devoted to advancing analysis, innovation, and collaboration in Data Science, Artificial Intelligence, and rising digital applied sciences. The convention brings collectively main researchers, academicians, business specialists, policymakers, and innovators to debate technological developments, share analysis findings, and discover options to urgent societal challenges.
DASGRI emphasizes the accountable improvement and software of AI-driven applied sciences, fostering interdisciplinary dialogue that helps sustainable improvement, moral innovation, and optimistic social affect. Through its analysis shows, keynote periods, business engagement, and innovation initiatives, DASGRI continues to contribute to the development of data and the promotion of expertise for the good thing about society.
For extra details about DASGRI 2026, together with convention proceedings, keynote periods, and future editions, please go to: https://www.dasgri.co.uk/
This article was written in cooperation with Tom White