International Collaborative Data Analysis

UF Faculty: Beth Johnson Department: Statistics College: College of Liberal Arts and Sciences	Partner Faculty: Michaela Kiermeier Department: Economics and Business Administration Partner Institution: Darmstadt University of Applied Sciences, Germany

Project details
Title:	International Collaborative Data Analysis in Finance
Project Description:	Students will work in teams of no more than four people to complete a research project based on an assigned topic. Each team will write a statistical paper, of approximately 10 pages, and give an oral presentation to a class audience. Each member of a team will be required to utilize a different statistical technique or type of analysis to analyze the common data set and include their own contribution in the final common report.
Learning Outcomes:	Develop familiarity with analyzing financial data with reference to ESG in an international context.
Participating Countries:	Germany
Number of Participants:	12 UF students & 9 Darmstadt students
Discipline:	Statistics and Data Science
UF Course Code & Name:	STA3180 - Statistical Modeling
Project Duration:	6 weeks
Activity Type(s):	Student-to-Student Project
Time allotted to each activity:	Synchronous Activities: 3 hours for 6 weeks Asynchronous Activities: 3 hours for 6 weeks Local Group Activities: 2 hours per week Individual Work: 2 hours per week
Technology Tools:	Padlet Zoom Whatsapp R for statistical analysis SPSS
Sequence of Activities:	Icebreaker Activity: Students from both universities will introduce themselves in Padlet. Collaboration Activity: Students at UF will use data collected at Darmstadt University of Applied Sciences to conduct a statistical analysis. UF students will work with the students in Germany in order to understand the financial variables in the data set. Reflection Activity: UF students held a class discussion on the completion of the project on the impact of the VE project on their statistical learning and professional skills.