| NSF Org: |
BCS Division of Behavioral and Cognitive Sciences |
| Recipient: |
|
| Initial Amendment Date: | August 26, 2014 |
| Latest Amendment Date: | August 26, 2014 |
| Award Number: | 1444761 |
| Award Instrument: | Standard Grant |
| Program Manager: |
kerry marsh
BCS Division of Behavioral and Cognitive Sciences SBE Directorate for Social, Behavioral and Economic Sciences |
| Start Date: | September 1, 2014 |
| End Date: | August 31, 2015 (Estimated) |
| Total Intended Award Amount: | $49,998.00 |
| Total Awarded Amount to Date: | $49,998.00 |
| Funds Obligated to Date: |
|
| History of Investigator: |
|
| Recipient Sponsored Research Office: |
845 N PARK AVE RM 538 TUCSON AZ US 85721 (520)626-6000 |
| Sponsor Congressional District: |
|
| Primary Place of Performance: |
650 N Park Ave Tucson AZ US 85721-0078 |
| Primary Place of
Performance Congressional District: |
|
| Unique Entity Identifier (UEI): |
|
| Parent UEI: |
|
| NSF Program(s): | Social Psychology |
| Primary Program Source: |
|
| Program Reference Code(s): |
|
| Program Element Code(s): |
|
| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.075 |
ABSTRACT
The ability to predict how people will behave during social interactions would have implications for a broad array of domains, ranging across close relationships, education, parenting, business management, work performance, health behaviors, and conflict resolution. A major barrier to progress is that behavioral scientists, who are experts at understanding social interaction, do not usually have advanced mathematical modeling capability. On the other hand, computational scientists, who have the mathematical and computational ability to model complex systems, usually are not experts on social interaction. To address this, Emily Butler (University of Arizona) and colleagues will host a cross-disciplinary, collaborative workshop to bring together behavioral and computational scientists with a shared interest in computationally intensive modeling of dynamic social interactions. The workshop will be attended by approximately 50 invited scientists and is designed to establish new cross-disciplinary collaborations, and the sharing of information and resources across disciplines. More broadly, the larger goal is to foster cumulative research that supports pragmatic applications. Information about social interaction is important for developing parenting classes, family counseling programs, interventions for health behaviors, managerial and negotiation training, reducing bullying in schools, and promoting constructive international relations. Thus the workshop has the potential to inform theory and practice across a diverse range of human experiences.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
If we could accurately predict what people will do during social interactions we could intervene in a broad array of domains ranging across education, parenting, health behaviors, work performance, and political negotiations. A major impediment to progress has been a lack of mathematical modeling tools capable of representing the complexity of social interactions. To address this, we hosted an international scientific workshop with the goal of generating greater collaboration between social scientists (who have theories and big data sets relevant to social interaction) and computational scientists (who have the mathematical sophistication and computational power to develop and test complex theories with big data sets). The workshop was held in Tucson, AZ, in November 2014, and was attended by 65 researchers, ranging from graduate students to senior leaders in both social and computational science. Attendees came from across the United States, Canada, and Europe. The agenda included talks, tutorials, and poster sessions. The workshop was highly successful in generating new cross-disciplinary collaborative efforts, as evidenced by the fact that several edited books, special issues of journals, and numerous inter-disciplinary publications, presentations, and funding applications have since been generated by newly formed collaborative groups who met at the workshop. These efforts are contributing to cumulative knowledge production regarding the complexities of social interaction and so have the potential to impact a broad range of pragmatic applications in the future.
Last Modified: 10/04/2015
Modified by: Emily Butler
Please report errors in award information by writing to: awardsearch@nsf.gov.
