Impactful. Interdisciplinary. Intervention.
Impactful. Interdisciplinary. Intervention.
The Human-centered Analytics Lab (HAL) is a uniquely interdisciplinary research lab that examines the interaction of people with technology to understand the human condition in our increasingly digital world.
We view analytics as the translational arm of data science — a powerful tool for explaining, predicting and ultimately enhancing our understanding of human behavior in organizational and technological contexts.
Unlike traditional academic silos, HAL integrates computer science, statistics, psychology, and information systems into a cohesive approach. Our "T-shaped" structure features broad theoretical foundations with deep methodological expertise. We develop and apply rigorous analytical methods to frame, evaluate and solve real-world problems.
Led by two endowed chairs in analytics from different specializations, HAL transcends traditional disciplinary boundaries. Our business school foundation ensures research remains pragmatic and applicable, treating the world as our laboratory while maintaining methodological rigor.
Notable Research Papers
The Challenge of Large-Scale Digital Experiment Platforms for Scientific Discovery
Robust digital experimentation platforms have become increasingly pervasive at major tech and e-commerce firms. This article in MIS Quarterly sheds light on how orthogonal test planes can lead to incorrect inferences.
Examining User Heterogeneity in Digital Experiments
Digital experiments have grown exponentially in organizations and a wide variety of research areas. In ACM Transactions on Information Systems, HAL faculty explore how the expansion of experimentation platforms has prompted new challenges.
Pathways for Design Research on Artificial Intelligence
In Information Systems Research, HAL faculty address some of the challenges faced in publishing design research related to AI and examine viable pathways for making such work more acceptable to critical readers.
Theory to Practice
Mendoza research laboratories are examining business challenges in new ways. These collaborative hubs bring together diverse experts to tackle complex problems no single discipline can solve alone. These innovative spaces are transforming research, enhancing classroom learning and preparing students to address society's most urgent business challenges with fresh perspectives.
Read more about the labs
NSF grant will help address AI’s diversity problem
Large language models have morphed from research curiosities to everyday tools powering Google searches and customer service chatbots. Mendoza researcher John Lalor warns these revolutionary systems mirror our human flaws—carrying our biases in their digital DNA. His NSF-funded project aims to ensure these powerful AI systems speak for everyone, not just the majority.
Learn more about the grant
Path to purpose
Ahmed Abbasi doesn't just analyze data—he reveals the human stories hidden within our clicks. His research unveils how our online shopping journeys dramatically differ based on whether we're buying necessities or indulgences. By mapping millions of digital footprints across search engines, social media, and retail sites, Abbasi gives marketers unprecedented insight into the psychology driving our purchase decisions.
Read more about the researchConnect with HAL
Whether you’re a student seeking to learn or a researcher interested in our focus areas, HAL welcomes you. For all inquiries, please contact us at the link below.