Computers are increasingly being used to simulate and analyze complex social phenomena, but do not account geographical, cultural, economic, and sociopolitical systems that influence social relationships. We identify the need to account for real-world, localized information in social simulation. Our research objectives are to create computational models of social influence and opinion change that support believable social simulation and facilitate novel insights for experts through scaffolded interaction. This project, if successful, will contribute fundamental advances in computational social science, including advances individually in both computer science and social science as well as bidirectional exchange of ideas across disciplines.

This proposal includes scope to study the use of gamified modalities of curriculum for education and training in acquisition methods and simulation tools for the defense workforce.

The North Carolina Department of Transportation (NCDOT) created a new knowledge repository called Communicate Lessons, Exchange Advice, Record (CLEAR) as an official platform to store and retrieve knowledge. We will transfer a construction domain language model to improve the search capabilities of CLEAR database. A construction language inference model has already been developed as a prototype that can make meaningful connections between lessons learned and best practices within the construction domain vocabulary. A proof of concept will be validated by project managers on a set of pre-selected projects by the NCDOT Value Management Office.

1) Literature review of gamification of training, particularly in business or procurement fields. 2) Identify industry contacts that were used for interviews or focus groups to inform phase I products (organization names, points of contact, email and phone numbers) 3) Develop an attribute map of ideal game attributes for acquisition training based on stakeholder and expert interviews (in coordination with NPS MBA team) (link: https://executiveeducation.wharton.upenn.edu/thought-leadership/wharton-at-work/2012/07/attribute-map-2/#:~:text=An%20Attribute%20Map%20is%20a,position%20with%20respect%20to%20competitors.) 4) Identify other game features or design considerations gathered through stakeholder interviews or expert interviews. 5) Develop case vignettes of games being used in commercial or public business training to date. 6) Provide user feedback from MBA students playing the game prototype developed at NPS (will be provided to MBA students as an executable file). 7) Complete IRB preparation required for future Phase II experiments at NC State. 8) Finalize contact list and short capabilities statement for potential commercial partners for future game development at NC State.

transVRse is an automatic viewpoint computation and navigation support toolkit in VR. The current version is being used for the analysis of para-hydrogen pathways in dynamic molecular simulations by the Ab Inito Materials Simulations Group at Duke and Hyperpolarization Lab at NCSU.

We are interested in projects that will develop and demonstrate methods and tools to identify data relevant to a given analytic question within diverse and potentially large data sets. The process of finding the ����������������right��������������� data to support an analysis could potentially introduce significant errors and biases, and so methods and tools for data triage must be characterized in a way that makes clear their appropriate use in rigorous analytic processes. Finally, data increasingly must be discovered within less traditional formats, such as audio or speech recordings or video, that challenge more common triage and search techniques.

This project seeks to create an intelligent monitoring and visualization framework for communication across different groups involved in design, development, and release of hardware and software products within Lenovo.