Webinar: Tackling Judicial Congestion Through Strategic Scheduling of Cases

DAKSH invites you to a thought-provoking webinar on improving judicial efficiency through better case scheduling. This session will feature a discussion on the paper "Service Operations for Justice-on-Time: A Data-Driven Queueing Approach," by Nitin Bakshi, Jeunghyun Kim, and Ramandeep S. Randhawa, which explores innovative ways to reduce judicial delays by up to 65%—without increasing the number of judges.

The paper, using data from the Supreme Court of India, challenges the conventional wisdom that judicial backlogs can only be solved by appointing more judges. Instead, the research highlights how strategic scheduling and capacity allocation can significantly improve efficiency. By identifying key bottlenecks and reallocating judicial resources more effectively, the study presents a practical, data-driven solution to one of India’s most pressing judicial challenges.

ABOUT THE SPEAKERS

• Prof. Dr Nitin Bakshi is department chair and Professor of Operations and Information Systems at the David Eccles School of Business, University of Utah. He is an expert in the study of congested systems. His doctoral thesis studied how to design and manage port congestion in the face of terrorism risk.
• Prof. Aparna Chandra is a Professor of Law at the National Law School of India University, Bengaluru. She researches and writes on constitutional law, human rights, gender and the law, and judicial process reform. She is the co-author of "Court on Trial: A Data Driven Account of the Supreme Court of India."
• Siddarth Raman is the Project Lead on Legal Systems at XKDR Forum and a consultant with Janaagraha on municipal state capacity in Odisha. He previously helped the BMC set up data systems for managing the COVID-19 pandemic.