Thursday, March 21, 2019
The Sixth Annual SAS Student Social will be held in the evening, following the opening poster session. Trainees of all levels are invited to join in the social, which will be held at the conference center or a nearby location within walking distance. Entry to the social is free, and no prior registration is needed. Appetizers will be provided. Save the date; more details to come in early 2019! Contact Katie Hoemann, SAS Student Committee Chair, at firstname.lastname@example.org with any questions.
Speed Networking Event
Saturday, March 23, 2019
The Speed Networking Event will provide attendees the opportunity to interact with several leaders in the field of affective science, briefly and in an informal setting. Each networking event attendee will get to meet one-on-one with several of these mentors. This meeting will give mentees an opportunity to introduce themselves and ask the mentor questions related to their research, career advice, or any other burning questions they have. Each of these meetings will last around five minutes, after which mentees will rotate to meet with another host.
Faculty and industry hosts will include: Lisa Feldman Barrett (Northeastern University), David DeSteno (Northeastern University), Phoebe Ellsworth (University of Michigan), Alan Fiske (UCLA), Dan Foti (Purdue University), James Gross (Stanford University), Ann Kring (UC Berkeley), Jennifer Lerner (Harvard Kennedy School), Bob Levenson (UC Berkeley), Terry Maroney (Vanderbilt University), Batja Mesquita (University of Leuven), Paula Niedenthal (University of Wisconsin, Madison), Michael Norton (Harvard Business School), Kevin Ochsner (Columbia University), Tali Sharot (University College London), Leah Somerville (Harvard University), and Heather Urry (Tufts University).
Registration is required to attend this event. Attendance is limited. You can register for this event using the main conference registration system. Contact Amitai Shenhav, Ph.D., at email@example.com, with inquiries related to the Speed Networking event.
Saturday, March 23, 2019
In affective science, our questions (”the what”) and methods (”the how”) are deeply intertwined. The Methods Event offers an opportunity to focus on the “how” in a structured small-group setting. Discussion leaders will draw on their expertise to introduce and summarize selected methodologies, and then will facilitate dialogue within the small group. Topics range from tools used in the laboratory to those used in the field. They will include well-established methods and experimental innovations. The Methods Event is meant to help you to expand, refine, or rethink your methodological toolkit, whatever your career stage.
The following sessions are available:
Translational and Comparative Affective Science: The Power of (Nonhuman) Animal Models
Eliza Bliss-Moreau, Ph.D. (University of California, Davis)
Dr. Bliss-Moreau will discuss how science conducted with nonhuman animals can inform a wide variety of questions in affective science. This methods session will also include how to determine which animal models are appropriate for which types of questions and the types of methods and behavioral that are commonly employed by labs that work with nonhuman animals.
Bayesian Approaches to Modeling Cognitive and Neural Dynamics
Jeremy Manning, Ph.D. (Dartmouth College)
The ongoing stream of people’s internal dialogues and mental states (i.e., moment-by-moment thoughts, feelings, emotions, etc.) cannot be directly measured. Nevertheless, psychologists often hope to gain insights into these hidden mental processes. In this methods session Dr. Manning will provide an introduction to Bayesian approaches to studying the dynamics of our mental states and how our brains support them.
Data-driven Approaches in Social Psychology and its Neuroimaging
Phillippe Schyns, Ph.D. (University of Glasgow)
Dr. Schyns will showcase cutting-edge data-driven methods that can be used to understand social signals and their processing in the brain, using simple computations. This session will also illustrate how these methods can be surprisingly powerful to discover new patterns in data that, in turn, can enrich theories.
Behavioral Methods in the Context of Affective Science
Michael Kraus, Ph.D. (Yale University)
Links between behavior and affect are complex and multifaceted. In this methods session Dr. Kraus will discuss practical tradeoffs and best practices in behavioral approaches to affect. Topics will include experimental design and the measurement of behavior in the lab and field.
Alan Anticevic, Ph.D. (Yale University)
In this methods session, Dr. Anticevic will discuss how computational approaches can be used to improve clinical treatments and diagnoses. He will present examples of how these methods are facilitating novel ways to characterize behavior and brain activity and their potential as biological markers of mental illness.
Modeling Interpersonal Emotion Dynamics
Emily Butler, Ph.D. (University of Arizona)
Dr. Butler will introduce attendees to a new R package, rties, that makes it (relatively) easy to model interpersonal emotion dynamics, including between-partner emotional co-ordination, co-regulation and co-dysregulation. This methods session will cover: 1) a theoretical introduction to the topic, 2) an overview of rties capability, and 3) a worked example.
How to Use Twitter to Study Emotion
Nick Obradovich, Ph.D. (MIT Media Lab)
The Twitter Public API provides one of the best resources for the high-resolution study of human sentiment (and possibly emotion). In this methods session, Dr. Obradovich will discuss the use of Twitter in affective science, including how to access the data, what Twitter data can provide to the study of emotion, and, importantly, what limitations are present with Twitter as a data source.
Mobile and ubiquitous emotion sensing
Akane Sano, Ph.D. (Rice University)
How can we measure emotion in daily life settings and what do we need to be careful about? Dr. Sano will discuss mobile and ubiquitous emotion sensing and recognition in our daily life settings. The topic includes emotion measurement using wearable sensors, mobile phones, camera, and wireless signals, the underlying challenges and applications.
Sarah Holley, Ph.D. (San Francisco State University) and Virginia Sturm, Ph.D. (University of California, San Francisco)
Dr. Holley and Dr. Sturm will provide an introduction to the core physiological systems that are most relevant to human affective science research. Ideally, you will leave the event with a sense of the autonomic measures most relevant to your research questions, as well as an understanding of the practical considerations related to utilizing these methods in your work. All levels of expertise and experience welcomed.
Registration is required to attend this event. Attendance is limited to ten people per table, including the host. You can register for this event using the main conference registration system. Contact Tammy English, Ph.D., at firstname.lastname@example.org with inquiries related to the Methods Event.