ISO/IEC

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Domenico Natale

Description of Activities

Considering the publication of the AI Act, in the next months a challenge will be given to supporting the application of the EU Regulation with a complete vision of existing standards, giving also some orientations to individuate possible new standardisation requests where needed.

Fellow's country
Open Call Topics
Open Call
Organisation type
Organization
Independent Expert
Portrait Picture
natale
Proposal Title (3rd Open Call)
Completion of TR "Data Governance & Quality for AI in EU context" including Quality in use
Standards Development Organisation
StandICT.eu Year
2026
Year
Topic (3rd Open Call)

Rania Wazir

Description of Activities

This project should therefore have a positive impact on the ability of SMEs to produce and assess quality NLP systems, and should simplify compliance with the AI Act requirements.

Fellow's country
Open Call Topics
Open Call
Organisation type
Organization
Co-founder and CTO, leiwand AI gmbh
Portrait Picture
wazir
Proposal Title (3rd Open Call)
Accuracy and evaluation methods in the context of NLP systems
Standards Development Organisation
Year
Topic (3rd Open Call)

Piercosma Bisconti Lucidi

Description of Activities

With this fellowship, I am addressing the standardisation of AI systems, with particular focus on the standardisation request of the EU Commission in relation to the AI Act. 

Fellow's country
Open Call Topics
Impact on SMEs (3rd Open Call)
The AI Trustworthiness Framework will serve as an entry point for industries and SMEs in order to facilitate this process, fostering conformity and facilitating industry competitiveness.
Impact on SMEs (4th Open Call)
The AI Trustworthiness Framework will serve as an entry point for industries and SMEs in order to facilitate this process, fostering conformity and facilitating industry competitiveness.
Impact on SMEs (5th Open Call)
Industries and SMEs in the EU are facilitated in adopting standards. One of the main barriers for standard adoption is the complexity of the standardisation processes. In order to claim conformity, multiple requirements coming from multiple standards should be met. The AI Trustworthiness Framework will serve as an entry point for industries and SMEs in order to facilitate this process, fostering conformity and facilitating industry competitiveness.
Impact on SMEs (6th Open Call)
The framework simplifies compliance by serving as a single reference point for multiple obligations under the AI Act. This helps SMEs adopt standards more easily, reducing barriers and supporting competitiveness through clearer, harmonized guidance.
Impact on society (3rd Open Call)
The AI Trustworthiness Framework will reinforce social trust in AI systems, by providing companies, consumers and ultimately citizens with a clear understanding of the fundamental requirements for trustworthy AI.
Impact on society (4th Open Call)
The AI Trustworthiness Framework will reinforce social trust in AI systems, by providing companies, consumers and ultimately citizens with a clear understanding of the fundamental requirements for trustworthy AI.
Impact on society (5th Open Call)
Trustworthiness fosters social acceptance. One of the outstanding barriers in the deployment of innovative technologies is social acceptance. This barrier damages both the economic benefits and the social benefits of designing innovative AI systems. The AI Trustworthiness Framework will reinforce social trust in AI systems, by providing companies, consumers and ultimately citizens with a clear understanding of the fundamental requirements for trustworthy AI.
Impact on society (6th Open Call)
By clarifying what makes AI trustworthy and aligning it with EU values, the project increases public trust and supports responsible innovation. It also helps make ethics a professional role, reinforcing societal oversight over AI technologies.
Organisation type
Organization
Researcher in AI Ethics, Co-Founder of DEXAI – Artificial Ethics, Italian Interuniversity Consortium for Computer Science
Portrait Picture
Lucidi
Proposal Title (3rd Open Call)
Building trustworthiness for artificial intelligence
Proposal Title (4th Open Call)
Building trustworthiness for artificial intelligence
Proposal Title (5th Open Call)
The AI Trustworthiness Framework - delivering a harmonized standard for the EU AI Act
Proposal Title (6th Open Call)
development of the AI Trustworthiness Framework within CEN-CENELEC JTC21 WG4 and supports ISO/IEC work on human oversight.
Role in SDO
Standards Development Organisation
StandICT.eu Year
2026
Year
Topic (3rd Open Call)
Topic (5th Open Call)
Topic (6th Open Call)

Matthieu Briottet

Description of Activities

The expected impact of the project is to provide stakeholders with a certification as defined in article 42 of the GDPR, thus improving trust between actors in a context of PII processing.

Fellow's country
Open Call Topics
Open Call
Organisation type
Organization
IT Consultant, TRAX
Portrait Picture
Briottet
Proposal Title (3rd Open Call)
Build certification scheme for En17926 (refining ISO27701 in EU context) complying with art 42 GDPR
Standards Development Organisation
StandICT.eu Year
2026
Year
Topic (3rd Open Call)

Elzbieta Andrukiewicz

Description of Activities

"Once the revision is done, we will disseminate it across the different stakeholders, and it will allow the community to learn the newest editions of widely recognised international standards that support the cybersecurity certification and technical aspects of the process of revision"

Fellow's country
Impact on SMEs (4th Open Call)
A unified approach to developing cybersecurity certification schemes and the possibility of reusing evaluation results produced under different certification schemes would be a dominant factor in decreasing the costs and workload needed for the certification of composite products or services. This could, at least partly, remove financial barriers for SMSs to enter the certification market.
Impact on society (4th Open Call)
The societal impact measured by increasing confidence in the certification as a powerful cybersecurity tool would be real.
Impact on society (6th Open Call)
The resulting study in the form of PWI 25543 is aimed at keeping the reference standards as the-state-of_the_art documents which cope with emerging and future technologies in cybersecurity certification.
The goal set up in the plan is strongly supported by sound standards with appropriate scope of application. In this way the assessments can be repeatable and comparable thus create the basis for wide recognition of results which usually appear as certificates respected by all EU Member States.
Organisation type
Organization
Project Leader, National Institute of Telecommunications
Portrait Picture
Plz
Proposal Title (3rd Open Call)
Revision of ISO/IEC 15408-1:2022
Proposal Title (4th Open Call)
Upgrading prEN 18037 to final stage
Proposal Title (6th Open Call)
revision of ISO/IEC 15408:2022 (all parts) and ISO/IEC 18045:2022
Standards Development Organisation
StandICT.eu Year
2026
Year

Information technology — Sustainability for and by information technology — Smart data centre resource monitoring and control

ISO/IEC 19395:2015 provides Messages that facilitate integrated or "smart" monitoring and control of Resources in those islands. The Messages are exchanged between the Management Function and Resources. ISO/IEC 19395:2015 acknowledges that those Resources may be composed of other Resources (e.g. a rack may contain servers, ventilators, etc.). In addition, e.g. those servers may be viewed from their computing, energy consumption or dissipation aspects which ISO/IEC 19395:2015 models as Resource Components and groups into IT, power and fluid Domains, respectively.

ISO/IEC 19395:2015

Information technology - Data centres key performance indicators - Part 9: Water usage effectiveness (WUE)

This document specifies water usage effectiveness (WUE) as a key performance indicator (KPI) for quantifying the water consumption of a data centre during the use phase of the data centre life cycle.

WUE is a simple method for reporting the water intensity of the data centre operating. By reporting water consumption, it is possible to present the data centre's resource effectiveness.

This document:

a) defines the WUE of a data centre;

b) introduces WUE measurement categories;

c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations;

d) defines the measurement, the calculation and the reporting of the parameter; and

e) provides information on the correct interpretation of the WUE.

ISO/IEC 30134-9:2022

Information technology - Data centres key performance indicators - Part 8: Carbon usage effectiveness (CUE)

This document specifies carbon usage effectiveness (CUE) as a key performance indicator (KPI) for quantifying the CO2 emissions of a data centre during the use phase of the data centre life cycle.

CUE is a simple method for reporting the CO2 intensity of the data centre operating. By reporting CO2emissions, it is possible to present the data centre's contribution to climate change (enhanced greenhouse effect).

This document:

a) defines the CUE of a data centre;

b) introduces CUE measurement categories;

c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations;

d) defines the measurement, the calculation and the reporting of the parameter; and

e) provides information on the correct interpretation of the CUE.

ISO/IEC 30134-8:2022

Information technology - Data centres key performance indicators - Part 7: Cooling efficiency ratio (CER)

This document specifies the cooling efficiency ratio (CER) as a key performance indicator (KPI) for quantifying the efficient use of energy to control the temperature of spaces within a data centre (DC).

This document:

a)    defines the CER of a DC;

b)    describes the relationship of this KPI to a DC’s infrastructure, information technology equipment and information technology operations;

c)    defines the measurement, the calculation and the reporting of the parameter; and

d)    provides information on the correct interpretation of the CER.

Annex A describes the correlation of the CER and other KPIs.

Annex B provides examples of the usage of the CER.

Annex C introduces the parameters that affect the CER.

Annex D describes requirements and recommendations for derivatives of KPIs associated with the CER.

This document is not applicable to cooling systems that are not powered by electricity (e.g. heat-driven absorption chillers).

ISO/IEC 30134-7:2023

Information technology - Data centres key performance indicators - Part 6: Energy Reuse Factor (ERF)

This document specifies the energy reuse factor (ERF) as a KPI to quantify the reuse of the energy consumed in a data centre. ERF is defined as the ratio of energy being reused divided by the sum of all energy consumed in a data centre. The ERF does reflect the efficiency of the reuse process; the reuse process is not part of a data centre.

ISO/IEC 30134-6:2021

Information technology - Data centres - Key performance indicators - Part 5: IT Equipment Utilization for servers (ITEUsv)

ISO/IEC 30134-5:2017 specifies the IT Equipment Utilization for servers (ITEUsv) as a Key Performance Indicator (KPI) to quantify the utilization of servers in a data centre. ISO/IEC 30134-5:2017 is intended as a KPI for improving the aggregate energy efficiency of servers in a given data centre.

ISO/IEC 30134-5:2017

a) describes the purposes of ITEUsv,

b) defines ITEUsv in a conceptual manner,

c) describes how to use ITEUsv, and

d) describes reporting of ITEUsv.

ISO/IEC 30134-5:2017

Information technology - Data centres - Key performance indicators - Part 4: IT Equipment Energy Efficiency for servers (ITEEsv)

ISO/IEC 30314-4:2017 specifies Information Technology Equipment Energy Efficiency for servers (ITEEsv), a key performance indicator (KPI) which quantifies the energy efficiency characteristics of servers in a data centre. ITEEsv can be calculated using a choice of pre-existing or context specific server performance benchmarks. ITEEsv intends to assist in improving the aggregate energy effectiveness of servers in a given data centre.

ISO/IEC 30314-4:2017:

a) defines ITEEsv;

b) describes the purpose of ITEEsv;

c) describes how to use ITEEsv;

d) describes reporting of ITEEsv.

ISO/IEC 30134-4:2017