Examining the generalizability of research findings from archival data

This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability—for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples

Comparison of Machine Learning Tree-Based Algorithms to Predict Future Paratuberculosis ELISA Results Using Repeat Milk Tests

Machine learning algorithms have been applied to various animal husbandry and veterinary-related problems; however, its use in Johne’s disease diagnosis and control is still in its infancy. The following proof-of-concept study explores the application of tree-based (decision trees and random forest) algorithms to analyze repeat milk testing data from 1197 Canadian dairy cows and the algorithms’ ability to predict future Johne’s test results. The random forest models using milk component testing results alongside past Johne’s results demonstrated a good predictive performance for a future Johne’s ELISA result with a dichotomous outcome (positive vs. negative). The final random forest model yielded a kappa of 0.626, a roc AUC of 0.915, a sensitivity of 72%, and a specificity of 98%. The positive predictive and negative predictive values were 0.81 and 0.97, respectively. The decision tree models provided an interpretable alternative to the random forest algorithms with a slight decrease in model sensitivity. The results of this research suggest a promising avenue for future targeted Johne’s testing schemes. Further research is needed to validate these techniques in real-world settings and explore their incorporation in prevention and control programs

Tiger Strides: A History of Student Leadership at University of the Pacific

In just five weeks, a project based learning fellowship of six students created Tiger Strides, an augmented reality smartphone app which aims to connect the study of local history to a wider audience through technology and placemaking. We explored the question “How has student leadership led to changes in equity, access to higher education, and civic engagement?” We utilized our historical research skills in the University’s Special Collections as we searched through primary sources, including the student newspaper, photographs, and promotional material spanning decades. Through this research, we showcased examples of student leaders pushing the boundaries of dialogue at Pacific. Built using Unity game engine, with graphic assets designed on Adobe software, the app was originally developed for Android and then made compatible with iOS devices. We connected our abstract historical research to the digital world using modern technology; the app utilizes the smartphone camera, GPS, and audiovisual elements to create an immersive experience. One site on the tour showcases original 3D art that we created using the virtual reality painting application “TiltBrush”. To connect classmates past and present with these findings, the fellows designed, developed and published an app which features an augmented reality walking tour of selected campus sites. Throughout the guided tour of campus, app users stop at notable sites where students demonstrated a commitment to social change and used their leadership abilities. The smartphone app guides users through videos, audio narratives, and images of historical events. Our research showed that this is the first phone application of its kind. With the support of knowledgeable Pacific faculty and staff from a variety of disciplines, we completed and published an accessible phone app that all campus visitors are welcome to experience

Tiger Strides: A History of Student Leadership at University of the Pacific

In just five weeks, a project based learning fellowship of six students created Tiger Strides, an augmented reality smartphone app which aims to connect the study of local history to a wider audience through technology and placemaking. We explored the question “How has student leadership led to changes in equity, access to higher education, and civic engagement?” We utilized our historical research skills in the University’s Special Collections as we searched through primary sources, including the student newspaper, photographs, and promotional material spanning decades. Through this research, we showcased examples of student leaders pushing the boundaries of dialogue at Pacific. Built using Unity game engine, with graphic assets designed on Adobe software, the app was originally developed for Android and then made compatible with iOS devices. We connected our abstract historical research to the digital world using modern technology; the app utilizes the smartphone camera, GPS, and audiovisual elements to create an immersive experience. One site on the tour showcases original 3D art that we created using the virtual reality painting application “TiltBrush”. To connect classmates past and present with these findings, the fellows designed, developed and published an app which features an augmented reality walking tour of selected campus sites. Throughout the guided tour of campus, app users stop at notable sites where students demonstrated a commitment to social change and used their leadership abilities. The smartphone app guides users through videos, audio narratives, and images of historical events. Our research showed that this is the first phone application of its kind. With the support of knowledgeable Pacific faculty and staff from a variety of disciplines, we completed and published an accessible phone app that all campus visitors are welcome to experience