2023 Top Upcoming Calls for Participation
Last Updated: 15 November 2023
CURRENT CALLS FOR PARTICIPATION
The IEEE Computer Society is home to 217+ active technical standards, which promote the implementation of technologies moving humanity forward.
We’ve put together the most up-to-date opportunities for you to get involved in shaping the future standards in your technical domain in 2023.
Bookmark this page and come back regularly to see the most current calls for participation.
Calls for Participation
IEEE P3422™, Recommended Practice for Metaverse Ecosystem Reference Models
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3422™, Recommended Practice for Metaverse Ecosystem Reference Models.
WHY GET INVOLVED
This recommended practice defines reference models for ecosystems based on metaverse-related technologies and applications, including functional components, digital assets, data structures, interfaces, interoperability methods, and application types. This recommended practice addresses ethical as well as technical and architectural considerations.
Meeting Information
Date: 20 November 2023
Time: 0700-0900 EDT / 2000-2200 Beijing Time
VIRTUAL MEETING
To obtain additional information, please contact the IEEE Computer Society Standards Activities Board Standards Committee or the program manager through the provided email addresses below.
LEARN MORE
Indicate your interest in this working group to receive ballot invitations and other notifications about the project.
IEEE P3394™, Standard for Large Language Model Agent Interface
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3394™, Standard for Large Language Model Agent Interface.
WHY GET INVOLVED
Scope: This standard defines natural language interfaces that facilitate communication between Large Language Model (LLM) applications, agents, and human users. The standard defines a set of protocols and guidelines that enable applications and agents to effectively communicate with LLM enabled Agents. Thereby, the standard enables seamless interactions between multiple applications and agents. The standard covers a wide range of aspects related to LLM usage and application, including but not limited to API syntax and semantics, voice and text format, conversational flow, prompt engineering integration, LLM chain of thoughts integration, and API endpoint configuration, authentication and authorization for LLM plugins.
Purpose: This project addresses the growing need for a standardized approach to application interfaces in the LLM domain. With the rapid development of LLMs, there is an increased demand for their integration with other applications and agents, as well as the need for seamless communication with human users. The lack of a standardized approach has resulted in inconsistencies in the interfaces developed by different vendors, leading to interoperability issues and poor user experience.
LEARN MORE
Indicate your interest in this working group to receive ballot invitations and other notifications about the project.
For additional information, contact the IEEE P3394™ Working Group Chair, Richard Tong, at richard.tong@ieee.org or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
IEEE P3419™, Standard for Large Language Model Evaluation
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3419™, Standard for Large Language Model Evaluation.
WHY GET INVOLVED
Scope: This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal models. Primarily, the standard provides a multi-dimensional evaluation framework for the users, teams, and enterprises who evaluate or use LLM technology or models. The standard describes a three-dimensional evaluation framework anchored in the principles of “versatility, intelligence, efficiency, and safety.” This framework is categorized under “capability-task-metrics” and encompasses evaluations at different stages, including foundation models, pre-training algorithms, and fine-tuning algorithms. The standard provides objective and subjective viewpoints and offers an extensive understanding of LLMs’ multifaceted capabilities and potentialities. This comprehensive understanding greatly assists researchers and developers, as well as downstream users. Furthermore, the open-source evaluation platform operations embedded in the framework help stimulating innovation in model and algorithm research and drive forward their industrial applications.
Purpose: The purpose of this standard is to provide model producers, model consumers, and third-party model evaluators with a multi-dimensional evaluation tool template and framework in order to simplify and clarify the comparison and evaluation of models. Furthermore, the open-source evaluation tools developed by the WG participants aim to help to accelerate the implementation of the standard-compliant evaluation operations.
LEARN MORE
Indicate your interest in this working group to receive ballot invitations and other notifications about the project.
For additional information, contact the IEEE P3419™ Working Group Chair, Yonghua Lin, at lin.yonghua@outlook.com or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
IEEE P3396™, Recommended Practice for Defining and Evaluating Artificial Intelligence (AI) Risk, Safety, Trustworthiness, and Responsibility
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3396™, Recommended Practice for Defining and Evaluating Artificial Intelligence (AI) Risk, Safety, Trustworthiness, and Responsibility.
WHY GET INVOLVED
Scope: This recommended practice provides a comprehensive framework for understanding, defining, and evaluating AI risks, AI safety, AI trustworthiness, and AI responsibility in order to address and manage them while preserving the benefits of innovation. This recommended practice takes into consideration the global context, advocating for responsible AI adoption, governance, and collaboration. The recommended practice offers a principles-based framework that looks at the role of AI in information generation, decision-making, human agency, and responsibilities associated with AI usage while considering the full life cycle of AI application development, deployment, and operation.
Purpose: The purpose of this recommended practice is to create a standardized approach to define and evaluate the consequences of AI in order to promote and govern responsible use of AI. It aims to ensure the safety and benefit to humanity for actions by AI applications themselves as well as the human decision-making influenced by AI. The recommended practice provides a framework for evaluating AI system design, training, monitoring for accuracy, reliability, safety, and ensures clear responsibility and transparency in the deployment and use of AI systems. This framework can be used by government and international organizations in legislatures, policies, international treaties, agreements, and guidelines. It can also be adopted by vendors and developers to help shape their AI development process and deployment guidelines.
MEETING INFORMATION
Date: 12 December 2023
Time: 12:00PM EDT
*Virtual Meeting: The WebEx details will be provided to the listserv (email reflector) at a later date.
LEARN MORE
Indicate your interest in this working group to receive ballot invitations and other notifications about the project.
For additional information, contact the IEEE P3396™ Working Group Chair, Jeanine DeFalco, at jad2234@tc.columbia.edu or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
IEEE P3407™, Standard for End-to-End Software Testing Automation Tools
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3407™, Standard for End-to-End Software Testing Automation Tools.
WHY GET INVOLVED
This standard addresses end-to-end software testing automation tools that are used to test end-to-end functionalities of the system in real software integration environments. These standardized tools are used to prepare and execute testing automation scripts faster to deliver high quality products by reducing the overhead on automation scripts preparation, maintenance, and execution. The end-to-end testing automation covers the testing of each layer of the application that includes functional / integration testing (Includes but not limited to user interface testing, application programming interface (API) testing, data flow and data testing, business logic testing, messaging testing, and visualization testing), performance testing and load testing. This standard also covers the grouping mechanisms of the test scenarios to group the scenarios in different categories like regression test, sanity test, smoke test, load test and with the ability to support custom tags so that the categorized test scenarios can be executed independently. The scope of this standard is to provide a minimum set of requirements for these tools.
Many industries are developing software testing automation scripts to verify end-to-end functionalities of the software applications on real integration environments. But the overhead and cost of automation scripts development, maintenance and execution are very high. The purpose of this standard is to set the minimum set of rules for the end-to-end testing automation tools from the perspective to reduce overall software testing cost by increasing the productivity and reducing the overhead on the automation scripts development, maintenance and execution. Overall, the purpose is to increase product quality and reduce product cost by reducing effort on product testing.
PARTICIPATE
Indicate your interest in this working group to receive ballot invitations and other notifications about the project.
For additional information, contact the IEEE P3407™ Working Group Chair, Madhav Krishna, at madhav.krishna@gmail.com or the IEEE SA Program Manager, Patricia Roder, at p.roder@ieee.org.
PROTECTING OUR FUTURE FROM CYBERSECURITY THREATS WORKSHOP
This one and a half day workshop will cover various topics highlighting the current state of affairs of Cybersecurity, why we need to protect our future from cybersecurity threats and why the current set of technologies fall short.
The workshop will bring together various leaders from around the world to discuss ideas and research, some of which is being worked upon in IEEE’s program on ‘Cybersecurity for next generation connectivity systems’. The workshop is open to participation for both the members and non-members of the program.
MEETING INFORMATION
Date: 14-15 November 2023
Time: 9:00 – 5:00PM ET
Location: Washington, DC
About IEEE SA Open
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Access to IEEE SA OPEN is easy and free with an IEEE Account.
Open and free to IEEE members, societies, standards working groups, university faculty and students, industry, startups, and open source developers, IEEE SA OPEN provides a space for innovators to develop advanced technologies with the global open source community.
Employing a customized platform with proven, stable, and easy-to-use GitLab software and Mattermost team collaboration and messaging, IEEE SA OPEN provides the ability to create, test, manage, and deploy innovative projects in a collaborative, safe, and responsible environment.
IEEE SA OPEN provides infrastructure for open software, open hardware, and open data projects with:
- Community management
- DevOp infrastructure
- Governance
- Philanthropic fund opportunities
Learn more about standards activities at the IEEE Computer Society
Past Calls for Participation
IEEE P3185, Standard for Hybrid Quantum-Classical Computing
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3185, Standard for Hybrid Quantum-Classical Computing.
WHY GET INVOLVED
This standard defines the hardware and software architecture of hybrid quantum-classical computing environments. It specifies the interconnection between one or more quantum processor units (QPUs) and one or more central processing units (CPUs) and/or graphics processing units (GPUs) and/or tensor processing units (TPUs) and/or field programmable gate arrays (FPGAs). This standard includes the definition of application programming interfaces (APIs) to improve high-performance computing (HPC) and excludes any definition of classical (super) computers and quantum computers.
MEETING INFORMATION
Date: 8 August 2023
Time: 8am -10am ET (UTC -4)
LEARN MORE
For additional information, contact the IEEE IEEE P3185™ Working Group Chair, Gilles Ceyssat, at ceo@evidenc3.eu or the IEEE SA Program Manager, Jonathan Goldberg, at goldberg.j@ieee.org.
IEEE P3361™, Standard for Evaluation Method of Robustness of Digital Watermarking Implementation in Digital Contents
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3361™, Standard for Evaluation Method of Robustness of Digital Watermarking Implementation in Digital Contents.
Note: This is an entity-based project and IEEE SA Entity Membership is required. Please review the SA Entity Member List to confirm if your company is an entity member.
WHY GET INVOLVED
Scope: This standard describes an evaluation method to assess the robustness of watermarking implementations in unstructured digital contents including images, video, audio, and documents. This standard describes attacks and corruptions that may result in the compromise of the watermarking information embedded in digital contents. Furthermore, the standard specifies robustness requirements for implementations of digital watermarking in the digital contents. Moreover, the standard defines metrics used for evaluation and test cases for assessing the robustness against different corruptions or attacks. This standard does not specify the evaluation for the robustness of the watermarking implementations in structured contents, for example, database. The risks faced with watermarking implementations in structured contents are different from those of unstructured contents, and need different test cases.
Purpose: Using the specified evaluation method, the relevant stakeholders of digital contents utilizing watermarking technology can have a clear understanding of the robustness of the watermarking implementations. Also based on the evaluation results, the relevant stakeholders can know the vulnerabilities in the watermarking implementations to help them make improvements.
MEETING INFORMATION
Date: Thursday, 20 July 2023
Time: 10 pm ET
Meeting registration is required.
LEARN MORE
For additional information, contact the IEEE P3361™ Working Group Chair, Juan Deng, at dengjuan.deng@alibaba-inc.com or the IEEE SA Program Manager, Tom Thompson, at thomas.thompson@ieee.org.
Artificial Intelligence Life Cycle (AILC) Related to Assets Beyond Code PAR Study Group
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for Artificial Intelligence Life Cycle (AILC) Related to Assets Beyond Code PAR Study Group.
WHY GET INVOLVED
Scope: General framework of practices that support systems that integrate various portions of Artificial Intelligence (AI). For example, how does a dataset used to collect data for training a Deep Neural Network (DNN) get instantiated, collect data, modify the data’s structure over time, train the model, define states of the model for use in inference (and so on), aligning with the codebase that acts upon the DNN? This Recommended Practice aims to be useful in a number of more traditional Software Development Lifecycles (SDLCs) such as “GitHub style Pull Requests,” as well as other SDLC-specific practices like Source Control Optimistic vs Pessimistic asset locking, etc.
Purpose: For the personas mentioned in the stakeholders’ section of the document who are looking for recommended development practices that extend beyond the standard software development lifecycle centered around code management, we would like to propose a software development framework for AI/ML. This framework permits the mentioned stakeholders to embrace both the software and the data used to drive solutions in the software that drives the software. Unlike the currently accepted software lifecycles that end with code management, our lifecycle is designed with the various stakeholders’ interests in mind.
Our approach provides guidance appropriate to the various stakeholders’ role and their context in the overall project being considered. It also anticipates the long-term use of code development, training, and inference. Additionally, this approach promotes the use of open-source tools and frameworks where possible, aligning with the spirit of the IEEE’s mission of “Advancing Technology for the Benefit of Humanity.”
THE MEETING WILL TAKE PLACE IN JULY 2023
To participate in this PAR Study Group, please email the IEEE SA Program Manager, Christy Bahn, c.bahn@ieee.org.
LEARN MORE
For additional information, contact the PAR Study Group Chair, Howard Deiner, at howard.deiner@deinersoft.com or the IEEE SA Program Manager listed above.
LEARN MORE
Entity-Based IEEE SA Ballot: IEEE P3156™ Standard for Requirements of Privacy-preserving Computation Integrated Platforms
IEEE Computer Society/ Artificial Intelligence Standards Committee (C/AISC) invites you to participate in the new Standards Association (SA) Ballot for: IEEE P3156™, Standard for Requirements of Privacy-preserving Computation Integrated Platforms.
BALLOT INFORMATION
Scope
This standard provides architecture and requirements of privacy-preserving computation integrated platforms, that include:
- Overview of privacy-preserving computation integrated platforms
- The reference architecture of privacy-preserving computation integrated platforms
- Functional requirements of privacy-preserving computation integrated platforms
- Performance requirements of privacy-preserving computation integrated platforms
- Security requirements of privacy-preserving computation integrated platforms.
Purpose
The purpose of this standard is to provide the architecture and requirements that enable industry stakeholders to develop privacy-preserving computation integrated platforms.
PARTICIPATE
If you would like to participate in IEEE P3156™, you must enroll as a member of the ballot group by 8 July 2023.
Instructions to join the ballot can be found in the IEEE SA Support Portal. For system questions, please visit the myProject ‘Help’ Page; or contact your IEEE SA Program Manager or the IEEE SA Balloting Center at sa-ballot@ieee.org.
IEEE P7004™, Standard for Child and Student Data Governance
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P7004™, Standard for Child and Student Data Governance.
WHY GET INVOLVED
This standard provides stakeholders with certifiable and responsible child and student data governance methodologies.
This standard is designed to provide organizations handling child and student data governance-oriented processes and certifications guaranteeing the transparency and accountability of their actions as it relates to the safety and wellbeing of children, their parents, the educational institutions where they are enrolled, and the community and societies where they spend their time, both on and offline. It is also designed to help parents and educators, with an understanding that most individuals may not be tech-savvy enough to understand underlying issues of data usage, but still must be properly informed about the safety of their children’s data and provided with tools and services that provide proper opportunities for content based, pre-informed choice regarding their family’s data.
MEETING INFORMATION
Through regular communication, you’ll unlock a world of benefits, including exclusive meeting invites, up-to-date insights into the latest advancements, and comprehensive updates on IEEE SA activities.
Don’t miss out on the opportunity to be part of the next upcoming virtual meeting:
Date: Thursday, 29 June 2023
Time: 10:00 AM – 11:30 AM ET
*If you already have an IEEE account, simply use your existing account to access myProject, where you can indicate your interest and kick-start your journey.
LEARN MORE
For additional information, contact the IEEE P7004™ Working Group Chair, Boris Radanovic, at boris.radanovic@swgfl.org.uk or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
IEEE P3347™, Standard for Description Schemas for Neural Network Architectures
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3347™, Standard for Description Schemas for Neural Network Architectures.
WHY GET INVOLVED
This standard defines a unified text approach to describing neural network architectures. It specifies data requirements, coding formats of neurons in neural networks, schemas for neural network architectures, and application scenarios.
It also defines a text description method for neural networks that can be used for data mining. This leads to new state of arts that researchers never explored, which in turn enhances and enlarges the application scenario of neural network models. Newly generated neural network architectures are easily shared and exchanged via this standard. This makes neural network algorithms very easily transferred because they do not depend on the particular neural network platform or libraries.
LEARN MORE
Indicate your interest in this working group to receive ballot invitations and other notifications about the project.
For additional information, contact the IEEE P3347™ Working Group Chair, Jiancheng Lv, at lvjiancheng@scu.edu.cn or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
IEEE P3349™, Standard for Space System Cybersecurity
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3349™, Standard for Space System Cybersecurity.
WHY GET INVOLVED
This standard defines cybersecurity controls for space systems including modules for the ground system, space vehicle, link segment, and the integration layer.
The purpose of this standard is to provide requirements to help secure space systems and establish trustworthiness criteria amongst the various elements of the space systems ecosystem.
MEETING INFORMATION
Date: Thursday, 1 June 2023
Time: 10:30 AM ET (16:30 CET)
This is a hybrid meeting taking place during the 2023 IEEE International Conference on Communications in Rome, Italy. There will be a teleconference option.
LEARN MORE
For additional information, contact the IEEE P3349™ Working Group Chair, Greg Falco, at gfalco@cornell.edu or the IEEE SA Program Manager, Tom Thompson, at thomas.thompson@ieee.org.
IEC/IEEE 60802, Time-Sensitive Networking Profile for Industrial Automation
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEC/IEEE 60802 Joint Project on Time-Sensitive Networking Profile for Industrial Automation.
WHY GET INVOLVED
The IEEE SA announces that the IEC/IEEE 60802 project has progressed to Working Group ballot. A cooperative IEC/IEEE 60802 Joint Project has been established between the International Electrotechnical Commission (IEC) and the Institute of Electrical and Electronics Engineers (IEEE) involving experts across the networking and industrial automation domains specifying the use of IEEE 802.1™ Time-Sensitive Networking (TSN) for industrial automation.
The IEC/IEEE 60802 project specifies profiles that select features, options, configurations, defaults, protocols, and procedures of bridges, end stations, and LANs to build industrial automation networks. The profiles meet the industrial automation market objective of converging Operations Technology (OT) and Information Technology (IT) networks by defining a common, standardized network infrastructure. This objective is accomplished by taking advantage of the improvements that TSN provides to IEEE 802.1™ and IEEE 802.3™ standard Ethernet networks by delivering data transport with bounded low latency, low latency variation, zero congestion loss for critical traffic, and high availability.
The stakeholders include developers, integrators, industrial automation manufacturers and suppliers, test equipment vendors, certification agencies, and users of networking services and components for industrial automation.
Those interested in further progressing this important work are encouraged to join the standardization process.
KEEP YOURSELF INFORMED
The first step is to keep yourself informed by subscribing to the main email list of the IEEE 802.1™ Working Group at http://www.ieee802.org/1/email-pages/. Also subscribe to https://listserv.ieee.org/cgi-bin/wa?A0=STDS-802-1-MINUTES to receive emails with detailed information about Working Group meetings.
HOW TO PARTICIPATE
The best way to get involved in the project is to attend in-person or electronic meetings as listed on the IEEE 802.1™ page. The IEC/IEEE 60802 Joint Project also holds weekly electronic meetings on Mondays and Fridays from 9:00 AM – 11:00 AM ET. Interested parties are welcome to attend.
If you would like to participate in the IEC/IEEE 60802 Joint Project, please email Ludwig Winkel, IEC/IEEE 60802 Joint Project Chair, Jordon Woods, IEC/IEEE 60802 Editor, Glenn Parsons, IEEE 802.1™ Working Group Chair, and/or János Farkas, IEEE 802.1™ TSN Task Group Chair with the following information:
- Your name and email address
- Name of your employer or other affiliation
- Particular areas of interest
IEEE P3329™, Standard for Quantum Computing Energy Efficiency
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3329™, Standard for Quantum Computing Energy Efficiency.
WHY GET INVOLVED
This working group aims to provide a standard of energy efficiency for quantum computing, by comparing the performance of the computation to its energy consumption. Doing so requires connecting different areas of expertise, from fundamental quantum physics and thermodynamics, to quantum software and algorithmics as well as enabling technologies (cryogeny, control electronics, lasers, detectors, etc.). The standard will apply to all types of quantum bits and quantum computations, whether in the Noisy Intermediate Scale Quantum (NISQ) regime or in the fault-tolerant tolerant regime, as well as to quantum annealers and simulators.
MEETING INFORMATION
Date: Thursday, 25 May 2023
Time: 5:00 AM – 1:00 AM ET
This is a virtual meeting.
LEARN MORE
For additional information, contact the IEEE P3329™ Working Group Chair, Alexia Auffeves, at alexia.auffeves@cnrs.fr or the IEEE SA Program Manager, Jonathan Goldberg, at goldberg.j@ieee.org.
IEEE P2301™, Guide for Cloud Portability and Interoperability Profiles (CPIP)
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P2301™, Guide for Cloud Portability and Interoperability Profiles (CPIP).
WHY GET INVOLVED
This guide advises cloud computing ecosystem participants (cloud vendors, service providers, and users) of standards-based choices in areas such as application interfaces, portability interfaces, management interfaces, interoperability interfaces, file formats, software bill of materials, and operation conventions. It groups these choices into multiple logical profiles, which are organized to address different cloud roles.
The purpose of this guide is to assist cloud computing vendors and users in developing, building, and using standards-based cloud computing products and services, which should lead to increased portability, commonality, and interoperability. Cloud computing systems contain many disparate elements. For each element there are often multiple options, each with different externally visible interfaces, file formats, and operational conventions. In many cases these visible interfaces, formats, and conventions have different semantics.
It also enumerates options, grouped in a logical fashion, called profiles, for such definitions of interfaces, formats, and conventions from a variety of sources. In this way, cloud ecosystem participants will tend toward more portability, commonality, and interoperability, growing the cloud computing adoption rate overall.
LEARN MORE
For additional information, contact the IEEE P2301™ Working Group Chair, Brian D’Andrade, at bdandrade@exponent.com or the IEEE SA Program Manager, Ron Hotchkiss, at r.w.hotchkiss@ieee.org.
IEEE P3348™, Recommended Practice for the Framework and Evaluation Methods of Two-Dimensional (2D) Real-Person Digital Clothes Model Generation System Based on Artificial Intelligence
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3348™, Recommended Practice for the Framework and Evaluation Methods of Two-Dimensional (2D) Real-Person Digital Clothes Model Generation System Based on Artificial Intelligence.
WHY GET INVOLVED
This standard defines a framework including requirements and evaluation methods for a two-dimensional (2D) real-person digital clothes model generation system using artificial intelligence (AI). The framework includes functional modules and the input/output interfaces of the 2D real-person digital clothes model generation system. The input interface includes pictures of the clothes to be presented, clothes measurements, and model types, while the output interface provides a mechanism to export images of the generated models in clothes and multiple postures. The framework also includes modules for digital model face generation, clothes generation, digital model posture generation, and image fusion. Methods for evaluating the generated 2D real-person digital clothes models are also specified in this standard.
The purpose of this standard is to provide guidance for individuals and organizations to develop systems for generating 2D real-person digital clothes models based on AI. It can be used by developers and users of the systems and third-party evaluation laboratories to evaluate the generated 2D digital real-person clothes models.
LEARN MORE
For additional information, contact the IEEE P3348™ Working Group Chair, Qing An, at anqing.aq@alibaba-inc.com or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
IEEE P9274.3.1™, Standard for Packaging, Launch, and Run-time of Experience Application Programming Interface (xAPI) in Session-based Learning
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P9274.3.1™, Standard for Packaging, Launch, and Run-time of Experience Application Programming Interface (xAPI) in Session-based Learning.
WHY GET INVOLVED
Legacy e-Learning standards brought stability to the creation and distribution of courses or “content packages”. Systems that managed learners, particularly in single interactions with a series of web-based modules launched within a Web Browser, came commonly to be known as Learning Management Systems (LMSs). Management of the content itself, the learner, and the learner’s access and authorization to that content was also facilitated by the LMS.
Fast forward to a time where learning experiences are much more diverse, but still require the structure of a system’s registration, launch, authorization and access to published content. In addition, The early web-constructs of plug-ins and run-time environments are being replaced with web services, many of which expose data through common Application Programming Interfaces (APIs). In the current environment, a common format is JavaScript Object Notation (JSON) and the communication protocols are defined by Representational State Transfer (REST or RESTful) APIs).
This standard takes an existing IEEE standard (editorial pending), the Experience API (IEEE 9274.1.1™-2023) and adds a set of rules to it, creating an application profile. By focusing on common events within a learning session, establishing interoperability for the “basics”, the aperture of future learner performance data can be opened wider, and the data shared broadly for multiple applications.
If you are interested in modernizing your approach to learner data for your Learning Platform Products (Authoring tools and LMSs) that offers a path to adding new product features in an interoperable and scalable way, please attend the kickoff meeting to join the Working Group.
MEETING INFORMATION
Date: Friday, 12 May 2023
Time: 10:30 AM – 12:30 PM ET
This is a virtual meeting.
LEARN MORE
For additional information, contact the IEEE P9274.3.1™ Working Group Chair, Bill McDonald, at mraicc@gmail.com or the IEEE SA Program Manager, Vanessa Lalitte, at v.lalitte@ieee.org.
IEEE P3330™, Standards for Shape Expression Schemas
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3330™, Standards for Shape Expression Schemas.
WHY GET INVOLVED
This standard defines the syntax of Shape Expression schemas represented in JavaScript Object Notation (JSON), Resource Description Framework (RDF), and plain text. Shape Expressions (ShEx) is a structural schema language for RDF graphs that expresses structural requirements for terms and relationships in a graph.
This standard also includes formal semantics for validation of RDF knowledge graphs using ShEx. This validation process includes the definition of ShapeMaps to associate nodes in RDF graphs with labeled ShEx. A test suite covers all aspects of syntax and validation.
MEETING INFORMATION
Date: Wednesday, 19 April 2023
Time: 10:00 AM – 12:00 PM ET
This meeting will be held via Webex.
LEARN MORE
For additional information, contact the IEEE P3330™ Working Group Chair, Kat Thornton, at katherine.thornton@yale.edu or the IEEE SA Program Manager, Soo Kim, at s.h.kim@ieee.org.
IEEE P3338™, Guide for Framework for Data Contribution Evaluation in Federated Machine Learning
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3338™, Guide for Framework for Data Contribution Evaluation in Federated Machine Learning.
WHY GET INVOLVED
This guide provides data contribution measurement methods for federated machine learning. It provides guidance with respect to data trading feasibility for federated machine learning. It also describes three main aspects:
- Framework for data contribution evaluation of federated machine learning
- Specific scenario under data contribution
- Measurement methods for data contribution of federated machine learning
MEETING INFORMATION
Date: Friday, 31 March 2023
Time: 9:00 AM – 5:00 PM (GMT+8)
This meeting will be held in-person at:Luxemon Hotel (Pudong Shanghai) and New Int’l Expo Center in Pudong, Shanghai, China. Teleconference details will also be available.
LEARN MORE
For additional information, contact the IEEE P3338™ Working Group Chair, Chen Jianing, at shsa@chinatelecom.cn or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
IEEE P3120.1™, Standard for Quantum Simulator Architecture
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3120.1™, Standard for Quantum Simulator Architecture.
WHY GET INVOLVED
This standard defines technical architectures for quantum simulators based on technological type (e.g., analog quantum simulator) and one or more quantum objects (e.g., neutral atoms) or quantum systems (e.g., arrays of optically trapped atoms). It further defines the hardware and software components (e.g., quantum operating device) of quantum simulators, and excludes any mathematical construct that can be used to describe the time evolution of a quantum system of interest known as Hamiltonian.
The purpose of this standard is to describe the unique characteristics of quantum simulator architectures that are not fully captured in related standards development activities, as quantum simulators are a unique branch of quantum-driven devices within quantum technologies more generally.
MEETING INFORMATION
Date: Monday, 27 March 2023
Time: 10:00 AM ET
This meeting will be held via Webex.
LEARN MORE
For additional information, contact the IEEE P3332™ Working Group Chair, Catherine Lefebvre, at catherine.lefebvre@pasqal.com or the IEEE SA Program Manager, Tom Thompson, at thomas.thompson@ieee.org.
IEEE P1450.1™, Standard for Extensions to Standard Test Interface Language (STIL) (IEEE 1450-1999™) for Semiconductor Design Environments
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P1450.1™, Standard for Extensions to Standard Test Interface Language (STIL) (IEEE 1450-1999™) for Semiconductor Design Environments.
WHY GET INVOLVED
This standard defines structures in STIL to support usage as semiconductor simulation stimulus; including:
- Mapping signal names to equivalent design references
- Interface between Scan and Built-In Self-Test (BIST), and the logic simulation
- Data types to represent unresolved states in a pattern
- Parallel or asynchronous pattern execution on different design blocks
- Expression-based conditional execution of pattern constructs.
It also defines structures in STIL to support the definition of test patterns for sub-blocks of a design (i.e., embedded cores) such that these tests can be incorporated into a complete higher-level device test as well as to relate fail information from device testing environments back to original stimulus and design data elements.
The purpose of this standard is to enhance the STIL language definition to support the usage of STIL in the design environment, define extensions to support the definition of sub element tests, and the mechanisms to integrate those tests into a complete device test. Lastly, it defines the constructs necessary to correlate test failure information back to the design environment, to allow debug and diagnosis operations to be performed based on failure information in STIL format.
MEETING INFORMATION
Date: Tuesday, 14 March 2023
Time: 12:00 PM ET (9:00 AM PT)
This meeting will be held virtually via Webex.
LEARN MORE
For additional information, contact the IEEE P3164™ Working Group Chair, Ric Dokken, at ric.dokken@ieee.org or the IEEE SA Program Manager, Tom Thompson, at thomas.thompson@ieee.org.
IEEE P3332™, Standard for Control-Oriented System Safety Analysis
IEEE Standards Association (IEEE SA) invites you to participate in the Working Group for IEEE P3332™, Standard for Control-Oriented System Safety Analysis.
WHY GET INVOLVED
Where traditional hazard analyses such as Failure Modes and Effects Analysis, and Fault Tree Analysis look at accidental harm as caused by failure, control-oriented safety analysis is different in that it looks at accidental harm first as caused by inadequate control. Failure plays a role in the control loops; however, control-oriented analysis makes failure subject to control. Without the primacy of failure, control-oriented safety analysis avoids the probabilistic nature of the traditional analyses. The absence of a probabilistic nature makes control-oriented analysis suitable for software-intensive systems.
Find more information on the PAR.
MEETING INFORMATION
Date: Wednesday, 01 March 2023
Time: 9:00 AM – 1:00 AM ET (14:00 – 15:00 UTC)
This meeting will be held via Webex.
LEARN MORE
For additional information, contact the IEEE P3332™ Working Group Chair, Rob Schaaf, at rjschaaf@ieee.org or the IEEE SA Program Manager, Christy Bahn, at c.bahn@ieee.org.
