HORIZON-CL4-2022-DATA-01-01
Methods for exploiting data and knowledge for extremely precise outcomes (analysis, prediction, decision support), reducing complexity and presenting insights in understandable way (RIA) -
Call text (as on F&T portal)
View on F&T portalExpected Outcome
Proposal results are expected to contribute to the following expected outcomes:
- Improving automated ways for extracting meaning and providing insights from data extremely fast and/or accurately in order to optimize decision making (ranging from crisis/emergency management to predictive maintenance) or action planning, as well as demonstrating how these improvements can have great positive impacts for society, people, economy, or the environment
Scope
The actions under this topic are expected to exploit “extreme data”: (defined as data that exhibits one or more of the following characteristics, to an extent that makes current technologies fail: increasing volume, speed, variety; complexity/diversity/multilinguality of data; the dispersed data sources; sparse/missing/insufficient data/extreme variations in values) to push the frontiers of analytics, prediction, simulation and visualisation to provide extremely precise, timely and useful results from data and knowledge, to support (human or automated) decision-making, saving lives or otherwise providing great positive impact (economic, societal, environmental) compared to traditional methods of decision making. Integrity and ethical aspects of the outcomes should be in line with the principles of responsible/trustworthy AI. The use of European data sources (such as Copernicus, Galileo/EGNOS for satellite data) is encouraged in the use cases, where appropriate. Analytics should be transparent, trustworthy, flexible, fit for the purpose and user needs, intuitive and (when necessary) provided as efficient and scalable “Analytics-as-a-Service”, including, where appropriate, federated analytics on distributed/decentralized data. Prediction should be extremely precise and/or span over longer time period and/or account for uncertainty factors. Simulation should allow precise replication and modelling of the real phenomenon or system (generating accurate synthetic data, when appropriate), with minimal differences and/or minimize the footprint/cost of the simulation model while generating useful data (considering context), exploiting augmented reality when appropriate. Actions should consider quality standards and assessment criteria for data generated by simulation. Visualisation should be interactive (and facilitate human interaction and collaboration), intuitive, accessible and allow people (with different needs, interests and backgrounds) to understand complex phenomena by smart selection of parameters, anticipation of user needs/interest and by novel ways of combining visual and non-visual elements and/or augmented reality.
In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.
Specific Topic Conditions:Activities are expected to start at TRL 2-3 and achieve TRL 4-5 by the end of the project – see General Annex B.
Cross-cutting Priorities:Artificial IntelligenceDigital Agenda
News flashes
Please note that affiliated and associated partners and entities are eligible to participate under this call for proposals.
Opening date: 2021-11-23 (4 years ago)
Closing date: 2022-04-05 (4 years ago)
Procedure: single-stage
Budget: 33,000,000
Expected grants: not specified
This call topic has been appended 2 times by the EC with news.
-
2021-11-24
the submission session is now available... -
2021-08-05
please note that affiliated and associat...
HORIZON-CL4-2022-DATA-01
Call topics are often grouped together in a call. Sometimes this is for a thematic reason, but often it is also for practical reasons.
There are 4 other topics in this call:
Showing the latest information. Found 1 version of this call topic in the F&T portal.
Information from
- 2024-03-30_20-31-22
Annotations
Events
Hand-picked events relevant to this call topic.
No events yet
There are currently no events linked to this call topic.
Timeline
Call published · 30 Sep 2024 (2 years ago)
All expected milestones for this call have passed.
Work programme published
16 Apr 2021 · est.
Call opens
23 Nov 2021
Call closes
05 Apr 2022
Outcome expected
05 Sep 2022 · est.
Grant agreement signed
05 Dec 2022 · est.
Call published
30 Sep 2024
-
Work programme published Estimated
16 Apr 2021 · 5 years ago
Topics are listed in the Work Programme before the call opens. Spotting this early gives you a head start on partner search and proposal planning.
-
Call opens
23 Nov 2021 · 4 years ago
Submissions can be made from this date.
-
Call closes
05 Apr 2022 · 4 years ago
Deadline to submit a proposal.
-
Outcome expected Estimated
05 Sep 2022 · 4 years ago
The maximum time to inform applicants of the evaluation outcome is five months after the call closes.
-
Grant agreement signed Estimated
05 Dec 2022 · 3 years ago
The maximum time to sign the grant agreement is three months after applicants are informed of the outcome.
-
Call published
30 Sep 2024 · 2 years ago
This topic was first published in TopicTree.
Funded Projects
Loading...
Project information comes from CORDIS (for Horizon 2020 and Horizon Europe) and will be sourced from F&T Portal (for Digital Europe projects)
Ecosystem bubbles
This call topic is part of the following thematic bubbles.
AI, Data & Robotics
This large ecosystem bubble includes all the call topics in the field of AI, data and robotics from H2020, Horizon Europe Cluster 4 and Digital Europe...
AR, XR and Virtual Worlds
The call topics in this bubble are part of the Virtual Worlds ecosystem. In Horizon Europe, there is a co-programmed partnership on Virtual Worlds wit...
Data Technologies
This bubble includes call topics focusing on data, data analysis and compliance technologies from H2020, Digital Europe and Horizon Europe. This inclu...