Management Information Systems (MIS) have connected bridges of society and technology.  It drives progress across diverse healthcare, education, governance, business, and environmental sustainability sectors. By leveraging people, data, technology, and information systems, MIS enhances decision-making, empowers communities, and addresses global challenges like climate change and public health crises. MIS also fuels technological innovation, enabling digital transformation, smart cities, and the integration of emerging technologies such as artificial intelligence and the Internet of Things.

The interdisciplinary nature of MIS is critical to its success, as it brings together expertise from computer science, business, social sciences, and engineering to tackle complex, multifaceted problems. This collaborative approach fosters holistic problem-solving, drives innovation, and prepares society for an increasingly interconnected future. This article explores the societal and technological impacts of MIS, emphasizing the importance of interdisciplinary collaboration in addressing global challenges and securing a better future.

Leveraging interdisciplinary and cross-system data-intensive research will inform the State's efforts, as well as those of academia, in improving policies and practices that promote health, mental health, and education equity. This session will focus on upcoming research topics exploring the intersections of generative AI, machine learning, social justice, and health/education equity. 

This talk aims to unfold personal experiences and stories of a research study that evolved into a commercialization opportunity, navigating through ups and downs, and ultimately culminating in a merger. The presentation will begin with a brief introduction of NICU2HOME, a patient education and engagement app/service for parents of premature infants. It will then walk the audience through the process and actions taken to transition a research study into a commercial venture. Finally, the speaker will share the lessons learned from this experience to assist researchers in making a larger impact and reaping rewards from their dedication to research. 

A fundamental mystery in vision science is how we perceive a stable world despite frequent eye movements. Each time we shift our gaze, the visual scene moves across our retinas, yet our perception remains seamless. One proposed explanation is receptive field (RF) remapping, where neurons adjust their sensitivity before a saccade to anticipate changes in input. While invasive studies in non-human primates have provided key insights, the extent and nature of remapping in the human visual system remain unclear. This presentation will explore how a predictive encoding model of neural activity offers a more comprehensive understanding of RF remapping in the human visual cortex. Unvailing how the brain adapts to a dynamic environment not only advances our understanding of visual stability but also deepens insights into perception, cognition, and sensorimotor integration in future studies.