Key Details
Host Centre: Brij Disa Centre for Data Science and Artificial Intelligence (CDSA)
Submission Requirements: Extended Abstract (1000 words) OR Complete Paper
Submission Link: https://easychair.org/conferences/?conf=imrc2024
Awards: Best Research Paper: ₹ 25,000; Honorable Mentions: ₹ 10,000
Call for Papers
The track on Data Science & Artificial Intelligence invites paper submissions that delve into the latest advancements and methodologies that are shaping the future of analytics, particularly from a business context. This track will cover a broad range of topics including predictive analytics, machine learning algorithms, deep learning frameworks, and the use of optimization techniques for prescriptive analytics. Papers may focus on both theoretical foundations and practical applications with strong contributions in at least one of the two focus areas. Papers that document practices and insights are also welcome and will be considered.
Participants can submit papers from various business research topics, including but not limited to big data analytics techniques, user and enterprise-generated content analytics, analytics for emerging technologies, business applications of deep learning, analytics for social good, ethical and legal issues in analytics, social media analytics, future of work, GenAI for business, image and video analytics in business, supply chain analytics, retail analytics, assortment optimization, dynamic pricing and nonlinear pricing, logistics optimization, supply chain optimization, algorithms for multi-period optimization, network algorithms, causal inference, etc. Categories include:
| Predictive Analytics: Theory and Methods | Prescriptive Analytics: Theory and Methods | Prescriptive Analytics Based on Prediction: Theory and Applications |
| Predictive Analytics: Innovative Applications | Prescriptive Analytics: Innovative Applications |
Scientific Committee
- Prof Dinesh Kumar (IIM Bangalore)
- Prof Sumit Kunnumkal (Indian School of Business)