Exploring how artificial intelligence will affect the investment management landscape from a decision-making and company structure standpoint.

We are studying how exposure to a natural disaster, the 2004 Indian Ocean Tsunami, affects population health over time. For fifteen years we have been interviewing a group of people who were part of a government survey before the tsunami, in 2004. Our goal is to understand the evolution of well-being after a disaster and how government and private assistance programs affect people.

This study seeks to better understand food, nutrition and communication needs in Oceania to help create a needs assessment and information guide and/or recommendations. These resulting assessment and/or recommendation guides aim to help the region in addressing any needs or opportunities that arise, as it relates to topics such as food, nutrition, health and the environment/sustainability more broadly.

This study explores the use of 90-second kickboxing demonstrations as an innovative educational intervention to teach undergraduate nursing students the research process. It aims to enhance engagement and understanding of key research concepts through experiential learning.

The purpose of the study is to understand if and how teachers use experiential teaching.

The purpose of this study is to understand how employees interact with each other at work.

Train a machine learning algorithm to identify normal eyes compared to eyes with trichiasis (an infectious eye disease that causes lashes to turn inwards)

This study is designed to be conducted in K-12 math contexts in order to examine how personalizing math tasks to involve familiar and interesting careers and out of school interests can enable students to engage in effective math learning.

This is a research study to better understand people's health behaviors.

Study and compare the priming and anchoring effects in both multi-view and single-view scatterplots.