What is a Study Group?

Per SISO-ADM-002-2011 (Policies & Procedures), a Standing Study Group (SSG) may be established to represent a specific community or national group, to mature a potential standard, or potentially to provide support to open-source software. SSGs may have an indefinite life span.

Study Groups are established to consider specific issues and to provide recommendations concerning proposed courses of action. The SISO Study Group mechanism is intended to provide a wide range of flexibility. As examples, the study groups may be formed to define key terminology, recommend modifications to SISO processes, or generate a plan for (or an initial prototype of) a proposed SISO product.  

Each Study Group shall operate under specific Terms of Reference that identify the issues they are being asked to consider and the specific questions they are being asked to address. These Terms of Reference will designate the leadership of the Study Group, the form of the outputs expected, and the time schedule for the generation of these outputs. Appendix B is a template for a Terms of Reference.  

Normally, the life span of a Study Group will not exceed one or two workshop cycles. Depending on the time phasing of the Group's formation, a Study Group will ordinarily conduct an organizational session at one workshop and outbrief at the next workshop.

For more information, see Operations.

Terms of Reference
View SG, SSG, PSG  Terms of Reference (TORs)  in the File Library. 
Create A New Study Group

To propose a new study group, complete the SISO-TOR Study Group Template available in the Templates folder of SISO’s Digital Library.  Email the completed TOR to the CC Chair and the SAC Chair for consideration.
Study Groups
HPML SG - Human Performance Markup Language  
The Human Performance Markup Language (HPML) Study Group (SG) will be kicking off at the 2014 Fall Simulation Interoperability Workshop.  HPML is an XML-Schema-based language intended to cover all meaningful aspects of human performance measurement in various training and operational environments. The HPML hierarchy enables the representation of both generic concepts (e.g., measurements and assessments) and mission specific concepts (e.g., instances of measurements and instances of assessments) necessary for capturing the experiences associated with human performance and human behavior.
LSA SG - Layered Simulation Architecture 
The LSA Study Group will provide a forum to explore and develop a consensus view of the applicability of modern principles of network centric interoperability and open systems architecture.  In particular the definition of different layers to enable looser coupling among simulation applications will be addressed. The participation of people involved in the Live-Virtual-Constructive Architecture Roadmap Implementation (LVCAR-I) project, is encouraged due to the potential to produce a cost effective solution to many of the issues identified and not yet resolved. The architecture resulting from this study may better define a modular, loosely coupled structure that enables more flexibility and performance than current approaches. 
Standing Study Groups
Economics of M&S SSG 
SSG approved 4 Apr 06, under EXCOM oversight. 
The original Economics of Simulation Study Group members continue to receive requests for data and analysis results, and decision makers continue to ask for Economics of M&S information.

Simulation Australia SSG 
SISO SSG - SISO's first International SSG, approved by SISO and SIAA 16 May 2006. First Annual Report approved as SISO-REF-018-2006. The SIAA and SISO established the Australia Standing Study Group (SISO Australia) to liase and inform the Simulation Interoperability Standards Organisation in order to meet the needs of the Australian simulation community.

PDMS SSG- Parallel and Distributed M&S
OSI-PDMS SG transitioned to PDMS SSG in Mar 09.
As a standing study group, the PDMS-SSG will operate with an open-ended completion date. The PDMS-SSG will conduct a continuous long-term study of vital and high-impact issues relating to parallel and distributed modeling and simulation.