Faculty Chats

Faculty Chats

Join the UW-Madison Data Science in Human Behavior Master’s Program Faculty for a virtual introduction and informal conversations on Thursdays from 8:30-9am CST (1:30-2p GMT).

During this time, anyone can visit the Zoom room to share conversations and ask questions. Feel Free to come late or leave early.

We look forward to meeting you! Register below for the faculty chats that you can join.

Faculty Chats are Thursdays from 8:30-9am CST (1:30-2p GMT) November 9th, November 30th, December 14th, January 11th and January 25th. Please Register!

November 9th, 2023 Joe Austerweil 

He is a leader in the application of advanced data science approaches to better understand complex human behavior and is a dedicated and stellar teacher and mentor.

 

 


November 30th, 2023 Nick Buttrick 

Nick is interested in socioecological and cultural psychology, specifically exploring issues such as why people own guns, the psychological consequences of reading fiction, cultural dynamics of residential mobility, and historical change in moral foundations of political persuasion. Join us in a conversation to hear more about his data science challenges!

 

 


 

December 14th, 2023 John Curtin

Join a conversation with Dr. Curtin. He will be able to share more about his research in machine learning & addiction prediction modeling. His lab is called the Addiction Research Center, where he uses machine learning approaches to develop predictive models for addiction related interventions.

 


 

January 11th, 2024 Caitlin Roa

Caitlin Iverson

Join a conversation with Dr. Roa. She will be able to answer your questions related to the program, the proseminar course, capstone projects and the application process.

 

 

 


REGISTER NOW

 

January 25th, 2024 Siddharth Suresh

Join a conversation with Siddharth Suresh, a PhD student in Psychology and Program Assistant who can speak to advising and mentorship in our program and in the capstone projects as well as provide a student perspective on the department and life at UW – Madison.  

 

 

 

 


 

Previous Faculty Chats:

 John Curtin

Join a conversation with Dr. Curtin. He will be able to share more about his research in machine learning & addiction prediction modeling. His lab is called the Addiction Research Center, where he uses machine learning approaches to develop predictive models for addiction related interventions.

 

 

 

Siddharth Suresh 

Join a conversation with Siddharth Suresh, a PhD student in Psychology and Program Assistant who can speak to advising and mentorship in our program as well as provide a student perspective on the department and life at UW – Madison.  

 

 

 

Karen Schloss 

Join a conversation with Dr Schloss. She will be able to discuss her research in visual perception as well as her course in data visualization. 

 

 

 

Emma Davis

Emma Davis

Join a conversation with Emma Davis, Enrollment Coach who can answer any of your application related questions. 

 

 

 

Tim Rogers

Tim RogersJoin a conversation with Dr. Rogers, the director of the Data Science in Human Behavior program and will also be teaching the environments & tools for large-scale behavioral data science course. He is happy to answer any of your questions related to the program, what you will learn, and types of projects you could get involved in while you are a masters student at UW!

 

 

 

 Joe Austerweil 

He is a leader in the application of advanced data science approaches to better understand complex human behavior and is a dedicated and stellar teacher and mentor.

 

 

Gary Lupyan              

Gary Lupyan (teaching Programming for Human Behavioral Data Science) researches the evolution of language and its effects on human cognition. Visit his lab for more information about Gary: Lupyan Lab

 

 

 

 

 

 Karen Schloss & Emily Ward

Join us for a special Faculty Friday that will focus on visual perception.

Karen Schloss and her team, aim to understand how people use visual reasoning for visual communication.  Specifically, how people form associations between visual features (e.g., color, shape) and concepts, and how they use those associations to interpret meanings of visual features in information visualizations (e.g., graphs, maps, diagrams, signs). The Visual Reasoning lab also investigates how to increase engagement in science through immersive experiences in scientific visualizations using virtual reality. This work can be translated to making visual communication more effective and efficient.

 

 

Emily Ward’s explores the nature of human visual processing, with an emphasis on the ways in which high-level perception interacts with and constrains other processes in the mind. Some of the specific questions that the Visual Cognition Lab have explored are: What determines whether we become aware of something? What factors determine how accurately we perceive something? How do visual factors constrain what we remember?  To address these topics, we use a combination of behavioral, computation and neuroimaging methods, including both creating novel visual tasks and applying pattern analysis and machine learning to explore neural representations and transformation.

 

 

 Markus Brauer

Markus will be teaching Design and Analysis of Psychological Experiments (stats) courses. His research focuses on group and inter-group processes such as social power, intergroup perception, and civil courage. For more information about his research: Brauer Group Lab