A Beginner’s Guide to Vandalizer
Authors: Barrie Robison, Luke Sheneman, John Brunsfeld, Labib Ehsan, Jason Cahoon, Nathan Layman, and Sarah Martonick | Contribution Guidelines
What is Vandalizer?
Vandalizer is an AI management tool designed to assist Research Administrators in managing and streamlining their work.
At research institutions across the United States, Research Administration (RA) offices are facing increasing demands with limited resources. AI tools promise to ease the burden of routine administrative tasks, but commercially available AI tools do not reliably meet RA offices’ high standards for accuracy, reproducibility, flexibility and security. While general use AI tools create exciting opportunities for augmentation, there is a gap between their potential and their practical implementation in RA offices.
The goal in developing Vandalizer is not to replace administrators, whose specialized expertise in interpreting policies, exercising judgment, and ensuring compliance cannot be replicated. Rather, Vandalizer serves as a tool to enhance their efficiency by automating routine, repetitive tasks and supporting data-driven decision-making.
DOMAIN KNOWLEDGE: Vandalizer is purpose-built for Research Administration, enabling offices to deploy AI tools at scale without compromising standards.
ACCURACY: Vandalizer ensures correct data extraction and transformation without hallucinations.
REPRODUCIBILITY: Vandalizer delivers consistent results across repeated inputs between users.
FLEXIBILITY: Vandalizer adapts to diverse data environments, evolving workflows, and advancing AI models.
SECURITY: Vandalizer complies with organizational IT policies and data governance requirements.