Using SciSpace AI in Academic Research: Workflows, Possibilities, and Ensuring Rigor & Research Integrity

​In this session, we’ll explore how researchers can effectively integrate SciSpace AI into their academic workflows—from literature review to writing and analysis, while maintaining high standards of research integrity.

​We’ll walk through practical, real-world workflows that show how AI can:

• ​Discover and synthesize relevant literature faster

• ​Extract insights and structure research arguments

• ​Assist in drafting, coding, and data analysis

• ​Streamline citations and formatting

​Beyond the “how,” we’ll also address the critical “should”:

• ​How to avoid hallucinations and verify outputs

• ​Best practices for maintaining transparency and reproducibility

• ​Where AI adds value—and where human judgment remains essential

• ​Ethical considerations and institutional expectations

​About Speaker

​Marija Đukić holds a master’s degree in Business Intelligence from the Faculty of Organizational Sciences, University of Belgrade, where she is currently pursuing her doctoral studies. She is employed as a Teaching Assistant at the Department of Information Systems.

​Her teaching and research interests focus on business intelligence, big data analytics, and business information systems. She has authored and co-authored several papers in these domains and has been a member of the organizing committees of several international conferences.