top of page
2150951407.jpg

Pre-Conference Workshop 2:
AI for Research
16 September 2025 | 1pm-230pm PST [Online]

AI for Research

Explore the frontier of research methodologies with our AI for Research Workshop at GLOTECH, designed to empower researchers and scholars with cutting-edge AI tools and techniques. This workshop immerses participants in the transformative capabilities of Artificial Intelligence (AI), offering a deep dive into its applications across various research disciplines and methodologies.

​

Attendees will develop a foundational understanding of AI's role in research, from enhancing data analysis and predictive modeling to revolutionizing scholarly advancements. Through interactive sessions and practical exercises, participants will engage with AI tools tailored for research settings, learning to leverage AI-driven solutions for robust data interpretation and hypothesis testing.

 

Real-world case studies and best practices will showcase how AI has optimized research processes and outcomes, providing attendees with actionable insights to integrate AI into their own research endeavors effectively. Ethical considerations in AI adoption, including data privacy and algorithmic fairness, will also be explored to ensure responsible and transparent use of AI in research.

 

By the workshop's conclusion, participants will be equipped to harness AI technologies to elevate their research capabilities, facilitating innovative approaches and insights across academic disciplines. They will leave with practical strategies to implement AI-driven methodologies in their research projects, poised to advance knowledge discovery and scholarly impact in an increasingly AI-driven research landscape.

This description emphasizes the workshop's focus on AI applications in research, providing researchers with essential knowledge, skills, and ethical considerations to maximize the benefits of AI in their scholarly pursuits.

Presenters

sedendogan.jpg

Dr. Seden Dogan

University of South Florida

Jacques Bernard.jpg

Jacques Bernard

Telijans AI

Takeaways

​​

  • Foundational Understanding of AI in Research:
    Participants will develop a comprehensive understanding of Artificial Intelligence (AI) and its transformative impact on research methodologies, including data analysis, predictive modeling, and hypothesis testing.
     

  • Hands-on Experience with AI Tools:
    Attendees will engage in practical exercises and interactive sessions to explore AI tools tailored for research settings, gaining proficiency in applying AI-driven solutions to enhance data interpretation and optimize research processes.
     

  • Application of AI in Data Analysis:
    Learn how to leverage AI technologies for advanced data analytics, including pattern recognition, sentiment analysis, and predictive modeling, to derive meaningful insights and support evidence-based research conclusions.
     

  • Ethical Considerations in AI Adoption:
    Discussions will cover ethical implications related to AI adoption in research, emphasizing principles of data privacy, transparency, and fairness to ensure responsible AI integration and compliance with ethical standards.
     

  • Integration of AI into Research Practices:
    Gain practical insights from real-world case studies and best practices where AI has successfully enhanced research outcomes, enabling participants to implement AI-driven methodologies effectively in their own research projects.
     

  • Future Trends and Innovations in AI Research:
    Explore emerging trends and future directions in AI-driven research, including advancements in machine learning algorithms, AI-powered automation in research workflows, and collaborative AI platforms for interdisciplinary research.
     

  • Networking and Collaboration Opportunities:
    Connect with peers, industry experts, and AI researchers to foster collaborations, share insights, and explore collaborative research opportunities leveraging AI technologies.
     

  • Strategies for Implementing AI in Research Projects:
    Develop actionable strategies and implementation plans for integrating AI technologies into existing research frameworks, overcoming challenges, and maximizing the benefits of AI in advancing scholarly discoveries.
     

  • Enhanced Research Impact and Innovation:
    Equip yourself with the tools and knowledge to enhance research impact and innovation through AI-driven methodologies, positioning yourself at the forefront of transformative research practices in your academic field.

bottom of page