DASGRI 2026 Unites Global Experts on Responsible AI and Data-Driven Social Impact

The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI 2026) was successfully organized by the School of Computing, Goldsmiths, University of London, The conference was conducted in hybrid mode on 10th–11th April 2026.

London, United Kingdom: The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI 2026) concluded successfully after bringing together researchers, academicians, industry professionals, innovators, and scholars from across the globe to discuss emerging developments in Data Science, Artificial Intelligence, and responsible technological innovation.

DASGRI 2026 attracted approximately 750 research paper submissions from 16 countries, demonstrating strong international participation and growing interest in AI-driven solutions for societal and industrial challenges. Following a rigorous double-blind peer-review process, 110 papers were accepted for presentation, resulting in a competitive acceptance rate of 15 percent. The accepted papers were presented during the two-day conference and will be published in the Springer Lecture Notes on Networks and Systems (LNNS) series, indexed by Scopus, Web of Science, and other major academic databases.

In addition to its research program, the conference promoted innovation and entrepreneurship through the AI Tool Development Challenge 2026, organized in alignment with the United Nations Sustainable Development Goals (SDGs). The challenge received 180 registrations across seven SDG-focused themes. Following multiple rounds of evaluation, 70 teams were shortlisted for the selection stage, with 16 teams advancing to the final round.

The event witnessed the enthusiastic participation of approximately 235 attendees, reflecting a strong spirit of international collaboration, interdisciplinary research, and knowledge exchange.

Speaking about the significance of the conference, Dr. Akshi Kumar, Conference Chair, School of Computing, Goldsmiths, University of London, highlighted the growing need for responsible innovation and meaningful collaboration between academia and industry.

"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," said Dr. Akshi Kumar.

The conference concluded with a vote of thanks delivered by Dr. Akshi Kumar, recognizing the contributions of researchers, reviewers, keynote speakers, organizing committee members, industry experts, and participants who contributed to the success of the event.

As part of the conference's commitment to recognizing outstanding research contributions, several papers were honored with the DASGRI 2026 Best Paper Award for their innovation, technical excellence, and potential real-world impact.

Authors: 

1. Rethish Nair Rajendran (Technical Delivery Manager, Unisys Corporation, New York, USA) 
2. Krunal Patel (Technical Program Manager and Independent Researcher, San Jose, California, USA)
3. Shashank Bharadwaj (IT Project Manager, Asta CRS Inc., Newark, New Jersey, USA).

This award-winning research presents an AI-powered decision support framework designed to help organizations navigate uncertainty and complexity in strategic project management. By combining multiple machine learning techniques into a unified analytical model, the framework improves forecasting accuracy, risk assessment, and decision-making capabilities in dynamic project 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," said Rethish Nair Rajendran, Krunal Patel, and Shashank Bharadwaj.

Author: 

1. Asadullah Saif Mohammed, Sr. Technical Program Manager (TPM), Texas, USA.

AIPM-RiskNet is an innovative AI-powered framework that transforms risk management for complex engineering programs. The research combines real-time predictive analytics, federated learning, graph-based intelligence, and privacy-preserving AI. The framework enables organizations to identify emerging risks earlier, accelerate decision-making, reduce project delays, and minimize cost overruns. The study demonstrates how intelligent project management systems can move beyond reactive reporting toward proactive, data-driven project 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," said Asadullah Mohammed.

Author: 

1. Deepak Kumar Giri, Independent Researcher in Electronic Trading Systems Architecture, USA.

This research presents a hybrid machine learning framework designed to improve portfolio optimization and risk management in financial trading environments. By intelligently combining predictive analytics and reinforcement learning techniques, the proposed model helps investors make more informed decisions while continuously adapting to rapidly changing and unpredictable market conditions. The framework demonstrates strong performance across diverse asset classes, offering a scalable and robust solution for modern algorithmic trading.

"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," said Deepak Kumar Giri.

Authors: 

1. Shiva Kumar Madishetty (Advanced Embedded Software Engineer, Mentor, Ohio, USA)
2. Guru Charan Kakaraparthi (Cloud Engineer, Arlington, Texas, USA)
3. Selvaraj Durairaj (Senior Technical Architect, Warren, New Jersey, USA).

This research proposes a cybersecure adaptive embedded AI framework for remote healthcare monitoring in smart hospital environments. By integrating intelligent sensing, adaptive threat mitigation, and real-time edge analytics within a unified architecture, the framework supports secure patient monitoring, enhanced clinical responsiveness, and improved healthcare data protection. The study explores a scalable approach to addressing security, intelligence, and operational efficiency within next-generation healthcare monitoring systems.

"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," said Shiva Kumar Madishetty, Guru Charan Kakaraparthi, and Selvaraj Durairaj.

Author: 

1. Swathi Gangarapu, Senior Software Engineer & Architect, USA.

This research explores a DevOps-based framework for deploying artificial intelligence solutions within smart manufacturing environments. By integrating AI, edge computing, and modern CI/CD practices, the proposed approach enables faster deployment, improved reliability, and greater operational efficiency for industrial automation systems.

"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," said Swathi Gangarapu.

The research recognized at DASGRI 2026 reflects the growing influence of Data Science and Artificial Intelligence across critical sectors including project management, healthcare, finance, manufacturing, and engineering. The award-winning studies showcased innovative approaches to solving complex real-world challenges through intelligent systems, predictive analytics, cybersecurity, automation, and decision-support technologies.

As organizations worldwide continue to embrace digital transformation, the research presented at DASGRI 2026 highlights the importance of developing responsible, scalable, and impactful AI solutions capable of addressing both current and emerging societal needs. The conference provided an important platform for researchers and industry professionals to exchange ideas, share discoveries, and foster collaborations that extend beyond geographical and disciplinary boundaries.

One of the defining characteristics of DASGRI 2026 was its strong international participation and interdisciplinary focus. Researchers, practitioners, and technology leaders from academia and industry came together to explore how emerging technologies can be applied responsibly to generate measurable social and economic impact.

By bringing together diverse perspectives from multiple countries and professional domains, the conference encouraged meaningful dialogue on the future of artificial intelligence, ethical innovation, sustainable development, and technology-driven problem-solving. Such collaborations play a vital role in accelerating scientific progress and transforming research outcomes into practical solutions that benefit society.

DASGRI 2026 successfully reinforced its position as a premier international forum dedicated to advancing Data Science, Artificial Intelligence, and Responsible Innovation. Through its highly selective research program, global participation, and recognition of outstanding scholarly contributions, the conference demonstrated the transformative potential of emerging technologies in addressing complex challenges across industries and communities.

The success of DASGRI 2026 reflects a shared commitment among researchers, innovators, and institutions to promote excellence in scientific research, encourage interdisciplinary collaboration, and develop technologies that contribute to social good. The conference's continued focus on impactful and responsible innovation ensures its growing influence within the global research and technology ecosystem.

The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI) is a global academic and professional platform dedicated to advancing research, innovation, and collaboration in Data Science, Artificial Intelligence, and emerging digital technologies. The conference brings together leading researchers, academicians, industry experts, policymakers, and innovators to discuss technological advancements, share research findings, and explore solutions to pressing societal challenges.

DASGRI emphasizes the responsible development and application of AI-driven technologies, fostering interdisciplinary dialogue that supports sustainable development, ethical innovation, and positive social impact. Through its research presentations, keynote sessions, industry engagement, and innovation initiatives, DASGRI continues to contribute to the advancement of knowledge and the promotion of technology for the benefit of society.

For more information about DASGRI 2026, including conference proceedings, keynote sessions, and future editions, please visit: https://www.dasgri.co.uk/

This article was written in cooperation with Tom White