On June 5-6 2020, Temple University will host the 10th Annual Interdisciplinary Symposium on Decision Neuroscience (ISDN) in Philadelphia, PA.
This symposium is unique in that it brings together a range of constituencies involved in the use of neuroscience techniques to understand consumer decision making – world renowned academics, neuroscience research companies, marketing research executives and industry leaders. It offers an opportunity to learn, present and discuss the latest breakthroughs on using neuroscientific and physiological measures to inform decision making in individuals, groups, societies, organizations, and markets. For more information, please visit our website: https://www.fox.temple.edu/conferences/isdn2020/ or contact us at .
Deadline for Oral presentations: February 15, 2020
Late-breaking poster presentations will be accepted for review until May 10, 2020 (11:59 p.m. EDT).
The organizing committee will select papers for presentation at the symposium based on extended abstracts (one page, single spaced). The abstract should state the study’s objectives, briefly describe the methods, summarize the results and state the conclusions. The body of the abstract should be no longer than 2,300 characters, including punctuation (not spaces). All abstracts should be emailed to by 11:59 pm EST on February 15, 2020. Decisions about the abstracts will be communicated to the authors by March 15, 2020. Selected papers would ideally not be published prior to the symposium.
Selections will be based on quality, relevance to decision neuroscience, and contribution to breadth of topics and interdisciplinary approaches and relevance for industry. (Note that all abstracts do not necessarily require neuroscience data but should have the potential to encourage discussions about a possible role for neuroscience.) We consider not just the individual merits of the papers, but how they complement other submissions from scholars in different fields to form a cohesive session. The organizers will invite authors of the abstracts not selected for talks to present their work as posters. Preference will also be given to new speakers.
Limited travel awards will be available to offset expenses for students and junior faculty. More details about the conference, registration, invited speakers, travel awards and accommodations will be updated regularly on our website https://www.fox.temple.edu/conferences/isdn2020/. If you have any additional questions, please do not hesitate to contact us by email: .
SPECIAL PRE-CONFERENCE ON SOCIAL INFLUENCES ON LEARNING
Chairs: Johanna Jarcho and Vishnu Murty, College of Liberal Arts, Temple University
This year’s conference will feature a special pre-conference on June 4 examining Social Influences on Learning. Humans are experts at navigating complex social environments. These processes rely on the ability to integrate prior experiences of social exchanges with current information to make adaptive decisions. This pre-conference will focus on the behavioral and neural mechanisms that guide our ability to extract and store information from social interactions and use this information to support concurrent behavior. The pre-conference will provide a unique opportunity to examine social learning through the lens of multiple academic disciplines including cognitive neuroscience, social psychology, marketing, and decision making. There is no fee to attend the pre-conference as long as you are registered for the main conference. This half-day session will consist of three invited talks, three accepted talks and a poster session. If you would like to present in this pre-conference, please submit your abstracts (in the same format as the main conference) to by 11:59 pm EST on Mar 31, 2020. You may submit the same abstract to both the main conference and pre-conference, but they must be emailed independently for consideration in both.
Crystal Reeck Temple University
Vinod Venkatraman Temple University
Carolyn Yoon University of Michigan
Uma Karmarkar University of California San Diego
Angelika Dimoka University of Houston
Drazen Prelec MIT