Back to Top

Methods and Speed Networking Lunches

Speed Networking Luncheon (sold out)
 
Saturday, April 28, 2018 
12:00 noon-1:30 p.m.
Registration is complimentary and includes lunch
 
The Speed Networking Lunch will provide attendees the opportunity to interact briefly in an informal setting with several leaders in the field of affective science. These leaders will serve as faculty hosts who will be seated at tables with an empty seat next to them. These empty seats will be filled by attendees who will be scheduled to spend several minutes conversing with their faculty host until the signal is given to move to their next appointment. By the end of this session, attendees will come away having enjoyed a series of brief, engaging interactions with leaders in the field. Attendance is limited.
 
Invited Faculty (to date):          

  • Lisa Feldman Barrett
  • Colin Camerer  
  • Susan Turk Charles
  • Nathan Consedine  
  • Naomi Eisenberger
  • james Gross
  • Derek Isaacowitz
  • Ann Kring
  • Peter Kuppens  
  • Bob Levenson  
  • Linda Levine 
  • Matt Lieberman
  • Sonja Lyubomirsky 
  • Iris Mauss
  • Wendy Berry Mendes
  • Batja Mesquita
  • Greg Miller
  • Dean Mobbs
  • Nikki Prause
  • Greg Siegle
  • Maya Tamir  
  • Jeanne Tsai           

 

Methods Lunches (all methods lunches are sold out except the new one below as Methods Lunch 9)

Friday, April 27, 2018
12:00 noon-1:30 p.m.
Registration is complimentary and includes lunch (attendance is limited to 10 people per table including speakers)
 
In affective science, our questions  (”the what”) and methods (”the how”) are deeply intertwined. The Methods Lunches offer 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,  experimental innovations, and mechanisms for obtaining funding. The Methods Lunches are meant to help you to expand, refine, or rethink your methodological toolkit, whatever your career stage.
 
Methods Lunch 1
Studying Emotion and Emotion Regulation in Daily Life with Ecological Momentary Assessment: Pete Koval, University of Melbourne
Description: This will be a general introduction to EMA and related methods, focusing on how to design and conduct an EMA study of emotion and emotion regulation, including development of EMA protocols and survey items, software and hardware options, and potential challenges and pitfalls of intensive longitudinal studies. Screen reader support enabled.
 
Methods Lunch 2
Psychoneuroimmunology and Affective Science: Integration and Interpretation of Immunological Measures in Emotion Research: Aric Prather, University of California at Los Angeles
Description: This methods lunch will focus on both conceptual and practical concerns and opportunities for integrating immune system measures in human affective science research. All levels of expertise and experience welcomed.
 
 
Methods Lunch 3 
Network Approaches to Characterizing Relationships Among Units of Analysis in Affective Science: Greg Siegle & Becky Silton
Description: Graph theoretic formulations are increasingly applied across domains of affective science, clinical psychology, and neuroscience yielding insights into relationships among affective experiences, psychological symptoms, and brain systems. We will discuss how to capitalize on network formulations to yield opportunities for cross-domain inference while also critically examining the limitations of these methods.
 
 
Methods Lunch 4
Cultural Psychology Methods: Batja Mesquita, KU Leuven
Description: Cultural psychology is not merely a description of cultural differences in emotions, but rather it tries to understand the (social) processes by which emotions become socialized and remain encultured; both early and life, and in adulthood. Includes an overview of the methods in cultural psychology of emotions, and discuss strengths, limitations, and future directions. 
 
 
Methods Lunch 5
Lesion Models of Emotion: Kate Rankin, University of California at San Francisco
Description:  While most affective neuroscience research is done with healthy individuals, a subculture of important investigation is ongoing in neurologic patient populations.  These studies require distinct methodologic approaches, but are invaluable for clarifying brain-behavior relationships, including revealing the real-life impact of dysfunction in key neural networks underpinning socioemotional behavior.
 
 
Methods Lunch 6 (sold out)
How can Computational Models Help You Quantify Individual Differences: Yael Niv, Princeton University
Description: Affective responses and their effects on future behavior are often illusive and hard to quantify. Discussion will revolve around how computational models can be used to state hypotheses precisely, and how, together with behavioral and neural measurements, they allow us to quantify, on an individual or group level, the existence and strength of a process that we hypothesize.
 
 
Methods Lunch 7
NIH Funding for Affective Science: Becky Ferrer & Lis Nielsen
Description: Many affective scientists examine topics of relevance to NIH institutes such as NCI and NIA, but do not realize it, and/or do not know how to present their science in ways that align with these institutes’ missions. During this methods lunch, Program Officials from these institutes will discuss how affective science research can be framed and designed to address institute-specific research priorities.
 
Methods Lunch 8
Meta-Analysis Software with R: W. Kyle Hamilton, University of California at Merced
Description: This talk will go through the process of starting your own meta-analysis using MAVIS and MAJOR. Both are free, opensource, and user-friendly R packages with graphical user interfaces.
 
 
Methods Lunch 9 -- New!
Knowing Emotion: Emotion Understanding in Social and Developmental Contexts with Amy Halberstadt, Family Affect, Beliefs, and Behavior Lab, North Carolina State University
 
Description: What are the issues involved in measuring emotion understanding? Are you interested in emotion knowledge, emotion recognition, emotion intelligence, or what?  And for whom (e.g., your participant's self-awareness or understanding of others)?  And in what contexts and ages? At this table, we will discuss how one's theoretical definition of emotion understanding (should) direct(s) one's empirical measurement.  Along the way, I am happy to discuss how to measure emotion understanding within social contexts and across development, and describe innovations in measuring emotion understanding.