Summer Hangouts: Robert J. DuRubeis, Bhuvnesh Jain, Sebastian Gonzalez, and Jacob Nibauer

• The Application of Multivariable Prediction Models to Aid Decision-making in Mental Health Contexts - Professor Robert J. DuRubeis, Department of Psychology.
• Tutorial: Introduction to Machine Learning - Professor Bhuvnesh Jain, Department of Physics and Astronomy.
• Application of Machine Learning to Galaxy Classification and Introduction to Neural Networks - Sebastian Gonzalez and Jacob Nibauer, Department of Physics and Astronomy.

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning. The research project could be in the humanities, social sciences or natural sciences. As part of SAS’s initiative in data science, we have set up a resource that we hope will be interactive and stimulating for you. Once a week, from 12-5pm, the Collaborative Classroom in the Weigle Information Commons at the Van Pelt library will be available to you to hang out, work collaboratively, learn about research by students in other departments, and listen to talks on data science from your peers and faculty.

We will provide pizza for lunch to start the afternoon, and cookies for a break at 3:30pm. Typically there will be talks from 12:30-1:30pm, and a tutorial on the basics of data science from 1:30-2:30pm. The rest of the time is largely open for you to use as you wish. We can help you set up activities including hack sessions on topics such as data visualization and machine learning tools. 

The classroom room has tables for joint work and walls you can use to write on and project from each table. The space around the room has “data diner booths" for informal discussions and study rooms for group work.