Online Student Conference

Student Conference Image The College of Information, Data and Society Online Student Conference seeks to connect students across the college and promote student work. The conference allows students to share their school or professional work, helps them communicate and connect and fosters a stronger sense of community among students in the college. The Online Student Conference is organized annually by the College of IDS RSCA  Advisory Committee in collaboration with student organizers. 

2025 Student Conference: March 4-6, 2025 

This dynamic event, taking place March 4-6, 2025, is now accepting submissions. Students (graduate and undergraduate) from both the School of Information and the Department of Applied Data Science are invited to submit research projects and professional work that highlights innovative ideas, problem-solving and collaboration. Students graduating in December 2024 may also submit and participate in the 2024 Student Conference. 

View the Call for Submissions [pdf]

Why Should You Participate?

Since 2022, the College of IDS Online Student Conference has been a unique platform for students to:

  • Develop Presentation Skills: Gain valuable experience presenting your work professionally.
  • Connect with Peers: Engage in meaningful dialogue with students from different disciplines within the college.
  • Earn Recognition: All presenters will receive prizes for their participation!

Conference presenters will prepare short, recorded video presentations of their research or professional projects. These videos will be available for attendees to view throughout the conference, fostering a rich learning and interactive environment.

Abstract submissions are due Friday, December 20, 2024.

Apply and submit your abstract here


Past Student Conferences 

2024 Online Student Conference Keynotes

Social Justice and Action Research to Extend the Field of Information: Dismantling White Entrenched Systemic Hegemonies

Bharat Mehra

by Dr. Bharat Mehra (Opening Keynote) 

Recorded February 2024

Description: Dr. Bharat Mehra will discuss social justice and action research intersections across his recent work in the field of information (including library and information science) to generate community-wide positive impacts. In the process, he provides a critical positionality to his “voice” toward strategic actions that can dismantle white entrenched systemic hegemonies in research, teaching, service and practice.

About the Presenter: Dr. Mehra is EBSCO Endowed Chair in Social Justice and Professor in the School of Library and Information Studies at the University of Alabama. His research focuses on diversity and social justice in library and information science (LIS) and community informatics or use of information and communication technologies to empower minority and underserved populations to make meaningful changes in their everyday lives. Dr. Mehra primarily teaches courses on social justice and inclusion advocacy, diversity and inclusive leadership in information organizations, community-engaged scholarship, outreach to diverse populations, public library management, collection management and grant development for information professionals.

Advanced AI Applications in Healthcare

Krishna Gadiraju

by Krishna Gadiraju, MSEE (Closing Keynote)

Recorded February 2024

Description: In the dynamic realm where Artificial Intelligence (AI) intersects with healthcare, a profound transformation unfolds, unveiling unparalleled possibilities and advancements. The fusion of advanced AI technologies with healthcare practices holds the promise to not only reshape the landscape of medical research, diagnosis, treatment and patient care but also to set new standards for enhanced healthcare outcomes. This talk delves into the need for integrating Advanced AI applications in healthcare, recognizing the escalating complexity and challenges faced by the industry. It introduces a proactive solution rooted in graph theory to identify infectious hotspots in urban healthcare environments, constructing a patient-specific graph that adeptly captures intricate inter-dependencies and health dynamics for effective outbreak management. The subsequent discussion seamlessly aligns with the critical demand for advanced AI in healthcare, focusing on optimizing Large Language Models (LLMs). By employing graph theory and clique-finding methods to craft a prompt-specific graph, this approach aims to refine the capabilities of LLMs, enhancing their understanding of context, semantics and domain-specific intricacies. This initiative directly contributes to the augmentation of AI tools tailored for healthcare applications. Together, these initiatives underscore the transformative potential of Advanced AI applications in healthcare. The integration of diverse patient data and the optimization of LLMs represent a strategic response to the multifaceted challenges faced by the healthcare industry. This talk endeavors to showcase these pioneering initiatives, emphasizing a unified approach that provides a tangible blueprint for the seamless integration of cutting-edge AI tools into healthcare practices.

About the Presenter: Gadiraju received his Bachelor of Science degree in Electrical and Electronics Engineering (B. Tech EEE) from JNTU Kakinada in May 2013. He then received his Post Graduate Diploma Degree from NPTI-PSTI-Bangalore, and worked as a Jr. Electrical Engineer in Elpro International Ltd. in Pune, India. He then joined Louisiana State University to pursue his master’s degree in Electrical Engineering in the spring semester of 2016. He received his degree of Master of Science in Electrical Engineering (MSEE) in Fall 2018. He is currently a doctoral candidate in electrical and computer engineering.

Outstanding Student Presentation Winners

See more 2024 student presentations