Objectives
Welcome to 2020 data science online mini-conference!
This site presents the collaborative class projects of PSYC 500 Data Science from University of Kansas.
Our objectives are:
1) To present the data science projects PSYC 500 students created to explore various real world problems.
2) To show how data science techniques help us better understand the phenomenon of interest.
3) To show how Python programming environment (Colab) enable clear communication and knowledge transparency.
4) To share with colleagues and public the knowledge generated by our collective and collaborative scientific activities.
Theme
The theme of 2020 project is Seeing the World through Data.
Psyc 500 students formed 10 data science teams. These teams have been working closely together throughout the half of the semester. Teams used the python language and data science technique they learned in the class to create your own data science research project. In this online mini-conference, our data science teams present and communicate our projects.
Projects
Emily Doffing, Wanheng Li, Meredith Wilcox
Madeline Anderson, Natalie Hammer, Delaney Burns, Myjae Maloy
Arianna Fallahian, Hiroko Kobayashi, Brooke Shuey, Gloria Strong
Abigail Driggers, Erica Flores, Juliamaria Coromac
Jaya Chakka, Dylan Gunderson, Ying Qing Won, Samuel Clark
Scott Landholm, Shelby Parmer, Brandon Pitts, Jocelyn Blander, & Dannie Dilsaver
Hannah Flickner, Riley Ricket, Abeer Iqbal, Akshat Gupta, Antonio Soares De Almeida
Maggie Mullen, Emily Bette, Jason Zysk, and Andrew Reece