Research & Innovation - Participant Portal


TOPIC : Cloud, IoT and AI technologies

Topic identifier: EUK-01-2018
Publication date: 27 October 2017

Types of action: RIA Research and Innovation action
Opening date:
31 October 2017
Deadline: 31 January 2018 17:00:00

Time Zone : (Brussels time)
  Horizon 2020 H2020 website
Pillar: Industrial Leadership
Work Programme Year: H2020-2018-2020
Topic Description
Specific Challenge:

Over the last years Cloud computing technologies have evolved into the major driver that brought together IoT, Big Data and mobile computing into an integrated and ubiquitous computing platform. The capability offered by the cloud platforms to deliver on-demand computing power and the ability to process the vast amount of data coming from an abundance of devices/sensors will provide a huge impetus to AI technologies as never realized before. In order to provide AI services on Cloud computing platforms, the harmonious management of computing resources through multi-cloud federation environment as well as huge data management and analytics are necessary. In addition, there is a need for new mechanisms using intelligence to manage the deluge of data from various surroundings; standardizing open IoT data management platforms to enable launching new value-added AI services; data acquisition method using IoT technologies.

Combining Cloud, IoT and AI will bring tremendous technological advances with enormous benefits to business and societal applications.


The main focus of the joint research is to develop innovative solutions integrating AI with Cloud and IoT technologies to support future AI applications in an efficient way.

A number of R&D areas need to be considered so as to deliver these advanced cloud platforms with IoT for AI (i.e., innovative cloud computing models to deliver cross-border future AI applications; new data management models built on AI-based optimal resource allocation; new approaches for cloud resources orchestration for AI data processing; new approaches to handle a dynamic dataset in the federated clouds for AI functions; Cloud and IoT combined platforms managing intelligence from IoT objects and surroundings and supporting data-intensive applications; efficient navigation, device control and enhanced decision-making technologies using intelligence, etc.).

The technologies developed should be validated through concrete cross-border AI applications in business (cross-border enterprise settings) and/or societal contexts (e.g. autonomous vehicles in a complex urban area, smart living environments, personal health systems, etc.).

The Commission considers that proposals requesting a contribution from the EU of EUR 2.2 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Expected Impact:
  • Concrete implementation of interoperable and reliable combined cloud/IoT solutions to support robust AI applications.
  • Facilitate and enhance the adoption of combined cloud/IoT platforms and development, operation and delivery of AI services in future.
  • Credible demonstrations based on cross-border business and/or societal AI applications on the cloud platform developed.
  • Joint contributions to international standardization and/or forum activities.
Cross-cutting Priorities:

International cooperation

Topic conditions and documents

1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.


2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.

Additional admissibility criterion:

Participants in the EU collaborative projects are required to conclude a coordination agreement with the participants in the coordinated project funded by MSIT (Ministry of Science and ICT/IITP (Institute for Information and Communications Technology Promotion). A final draft of this agreement has to be provided with the proposal.

Additional eligibility criteria:

  • Proposals submitted to this call which do not include coordination with a South Korean proposal submitted to MSIT/IITP for evaluation will be considered ineligible.
  • The proposed project duration shall not exceed 36 months.
  • The Korean authorities can consider non-eligible proposals with participation of partners from third countries (countries other than South Korea, EU and Associated states). Consultation to MSIT/IITP representatives is highly advisable before submitting proposals involving third country organisations.
  • Proposals will only be selected on the condition that their corresponding coordinated South Korean project will be funded by MSIT/IITP.

Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.


3. Evaluation:

  • Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
  • Submission and evaluation processes are described in the Online Manual.


4. Indicative time for evaluation and grant agreements:

Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.


5. Proposal templates, evaluation forms and model grant agreements (MGA):

Research and Innovation Action:

Specific provisions and funding rates
A specific proposal template, which includes an additional statement on third-country participants and on the coordination agreement with the Korean coordinated project, is available through the submission system below.
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement


6. Additional provisions:

Horizon 2020 budget flexibility
Classified information
Frequently asked question (FAQ) on the required Coordination Agreement

Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.

Grants awarded under this topic will be jointly funded with:

MSIT (Ministry of science and ICT)/IITP (Institute for Information and Communications Technology Promotion)

The respective options of Article 2, Article 41.5 and Article 50.3.1 (i) (j) of the Model Grant Agreement will be applied.


7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.

Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.

Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.

Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.

Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.

Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.

Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.

The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.


8. Additional documents:

1. Introduction WP 2018-20
5. Introduction to Leadership in enabling and industrial technologies (LEITs) WP 2018-20
5i. Information and communication technologies (ICT) WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20

General annexes to the Work Programme 2018-2020

Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme


Additional documents

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