Abstract

Title: Transforming Research Administration with Practical Artificial Intelligence Applications

Subtitle: How AI is Currently Enhancing Everyday Tasks in Research Administration and Its Future Potential

Authors:
Shandra White, Assistant Vice President, University of Michigan
Clay Arnett, Senior Director, Contracts and Negotiations, Northwestern University

Format: Oral 30/20 Minutes

Topic: Use of Artificial Intelligence in Research Management

Category: Case Study

Abstract: This case study examines how two leading institutions have leveraged artificial intelligence to enhance administrative processes:

1. University of Michigan: Artificial Intelligence in Award Setup and Contract Management
In 2024, the University of Michigan introduced a tailored artificial intelligence system to automate the setup of award accounts, boost efficiency, ensure compliance, and prepare staff for future-oriented roles. This section will explore the design and implementation of this system, the challenges faced, and potential future applications. Additionally, the University of Michigan is set to launch a web-based software solution in early 2025. This platform will digitize contracts to improve searchability, automate contract negotiation, creation, and execution, and provide analytics and reporting to support data-driven business process optimization. Both solutions will be integrated with existing electronic research administration systems to enhance ecosystem-wide impact and transparency.

2. Northwestern University: Artificial Intelligence in Contract Review

Northwestern University has employed artificial intelligence for contract review over the past three years, focusing on clinical trial agreements and non-disclosure agreements. The artificial intelligence system is used for redlining and editing contracts, identifying discrepancies with Northwestern’s preferred terms, and adjusting the agreements accordingly. This section will provide a detailed analysis of these early experiences, exploring the hurdles encountered during the deployment phase and the strategies employed to overcome them. Additionally, it will examine the impact of artificial intelligence on the efficiency and accuracy of contract management processes at Northwestern. Finally, the discussion will extend to future prospects, considering how advancements in artificial intelligence could further enhance contract management practices, improve decision-making, and potentially be applied to other areas of administrative operations within the university.