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https://kemlg.upc.edu ATICA Reunión de la Red ATICA Financiada parcialmente mediante la Acción Complementaria TIN2011-14083-E por el Ministerio de Economía y Competitividad (MINECO) ETSII, Universidad de Granada, 22 de noviembre de 2012

ATICA - php5.lsi.upc.eduphp5.lsi.upc.edu/atica/images/documents/Reuni-ATICA-Nov2012-posteditat.pdf · for Euratom (subject to a Commission proposal at an appropriate time) 1 Excellent

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https://kemlg.upc.edu

ATIC

AReunión de la Red ATICA

Financiada parcialmente mediante la Acción Complementaria TIN2011-14083-E

por el Ministerio de Economía y Competitividad (MINECO)

ETSII, Universidad de Granada, 22 de noviembre de 2012

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ATIC

A

2

Programa

Bienvenida 16:30– 16:35

Análisisdelasfichasdelosgruposdelared, 16:35– 17:45yHorizonte2020delaUniónEuropea(http://www.ec.europa.eu/research/horizon2020,http://oemicinn.es/programa‐marcohorizonte‐2020)

SpanishResearchConsortiumforInformaticsand 17:45– 18:15Mathematics(SparCim)(http://www.sparcim.es/)

Posiblefinanciaciónyplanificacióndeactividades 18:15– 18:25delaredparaelfuturo

Rondaabiertadepalabras 18:25– 18:40

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https://kemlg.upc.edu

ATIC

A

Horizonte 2020 de la Unión Europea

http://www.ec.europa.eu/research/horizon2020http://oemicinn.es/programa-marcohorizonte-2020

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The EU Framework Programme For

Research And Innovation

(2014-2020)

Brendan Hawdon

DG Research & Innovation

European Commission

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The Multiannual Financial Framework 2014-2020: Commission’s proposals of 29 June 2011

1. Smart & inclusive growth (€491bn)

2. Sustainable growth, natural resources (€383bn)

3. Security and citizenship (€18.5bn)

4. Global Europe (€70bn)

5. Administration (€62.6bn)

Total: € 1,025bn

Education, Youth, Sport

Connecting Europe

Cohesion Competitive Business SMEs

Horizon 2020

Key challenge: stabilise the financial and economic system

while taking measures to create economic opportunities

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Active involvement of stakeholders

• EU Presidencies: Sweden (societal challenges-based approach), Spain (integration of research and innovation), Belgium (simplification) Hungary (FP7 interim evaluation), Poland (widening participation); European Council conclusions from 4.2.2011 (Common Framework to bring together all EU research and innovation funding)

• European Parliament reports: Merkies (Innovation Union), Audy (FP 7 evaluation), Matias (Horizon 2020) and Carvalho (simplification)

• Overwhelming response to the public consultation on Horizon 2020 (more then 2000 contributions), including 775 position papers

• Survey on administrative costs for participants in FP7

• 25 workshops on the content of Horizon 2020

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What’s new

• A single programme bringing together three separate programmes/initiatives*

• Coupling research to innovation - from research to retail, all forms of innovation

• Focus on societal challenges facing EU society, e.g. health, clean energy and transport

• Simplified access, for all companies, universities, institutes in all EU countries and beyond.

*The 7th research Framework Programme (FP7), innovation aspects of Competitiveness and Innovation Framework Programme (CIP), EU contribution to the European Institute of Innovation and Technology (EIT)

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Proposed funding

• Budgets are presented in ‘constant 2011 prices’ – what it means in today’s prices.

• Figures in Horizon 2020 proposal are in ‘current prices’ - higher because they allow for inflation.

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Proposed funding (million euro)

• EU REGULATION (2014-2020): 77 606

• EURATOM REGULATION (2014-2018): 1 665

• HORIZON 2020 TOTAL: 79 271

• Additional EUR 729 million to cover 2019-2020 for Euratom (subject to a Commission proposal at an appropriate time)

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1 Excellent science

2 Industrial leadership

3 Societal challenges

Three priorities:

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Priority 1 Excellent science

Why:

• World class science is the foundation of tomorrow’s technologies, jobs and wellbeing

• Europe needs to develop, attract and retain research talent

• Researchers need access to the best infrastructures

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European Research Council

Frontier research by the best individual teams

13 268

Future and Emerging Technologies

Collaborative research to open new fields of innovation

3 100

Marie Curie actions

Opportunities for training and career development

5 572

Research infrastructures (including e-infrastructure)

Ensuring access to world-class facilities

2 478

Proposed funding (million euro, 2014-20)

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Priority 2 Industrial leadership

Why:

• Strategic investments in key technologies (e.g. advanced manufacturing, micro-electronics) underpin innovation across existing and emerging sectors

• Europe needs to attract more private investment in research and innovation

• Europe needs more innovative SMEs to create growth and jobs

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Leadership in enabling and industrial technologies (ICT, nanotechnologies, materials, biotechnology, manufacturing, space)

13 781

Access to risk finance

Leveraging private finance and venture capital for research and innovation

3 538

Innovation in SMEs

Fostering all forms of innovation in all types of SMEs

619

Proposed funding (million euro, 2014-20)

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Priority 3 Societal challenges

Why:

• Concerns of citizens and society/EU policy objectives (climate, environment, energy, transport etc) cannot be achieved without innovation

• Breakthrough solutions come from multi-disciplinary collaborations, including social sciences & humanities

• Promising solutions need to be tested, demonstrated and scaled up

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Health, demographic change and wellbeing 8 033

Food security, sustainable agriculture, marine and maritime research & the bioeconomy

4 152

Secure, clean and efficient energy* 5 782

Smart, green and integrated transport 6 802

Climate action, resource efficiency and raw materials 3 160

Inclusive, innovative and secure societies 3 819

Proposed funding (million euro, 2014-20)

*Additional €1 788m for nuclear safety and security from the Euratom Treaty activities (2014-18). Does not include ITER.

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Horizon 2020 and partnering Public private partnerships:

• Through Joint Technology Initiatives or other formal structures (Art. 187)

• Through contractual agreements, which provide inputs for work programmes

• Only when criteria met, e.g. clear commitments from private partners

Public public partnerships:

• Through “ERA-Nets” for topping up individual calls/ actions (replacing current ERA-Net, ERA-Net Plus, Inco-Net, Inno-net)

• Through participation in joint programmes between Member States (Art. 185)

• Supporting agendas of Joint Programming Initiatives when in line with Horizon 2020

• Only when criteria met, e.g. financial commitments of participating countries

European Innovation Partnerships

• Not funding instruments, but for coordination with broader policies and programmes

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Role of the EIT and JRC in Horizon 2020

European Institute of Innovation and Technology (EIT) Combining research, innovation & training in Knowledge and Innovation Communities

1 360 +

1 440*

Joint Research Centre (JRC)**

Providing a robust, evidence base for EU policies

1 962

* Second tranche pro rata from LEIT and Societal challenges (subject to review)

**Additional €656 m for the JRC to be funded from the Euratom Treaty activities

Three priorities to be supported by:

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Why a Regulation for Horizon 2020

• Treaty does not specify the type of legal act. Legislator to take into account proportionality and the nature of the types of acts.

• A regulation is the most suitable type: – Programme is of direct interest for the citizens (beneficiaries)

– Contains provisions which confer rights and obligations and require an act of general application which is binding and directly applicable

– Serves the objective of smart and better regulation - coherence with the other MFF financial programmes.

• Type of legislative act has no impact on the procedure for its adoption (ordinary legislative procedure).

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Contributing to the European Research

Area (ERA)

• ERA framework proposal in 2012 to create a single market for knowledge research and innovation.

• Complemented by Horizon 2020:

- Boosting support to ERA priorities – mobility, infrastructures, knowledge transfer, policy learning

- Stronger partnerships with Member States and private sector to invest more efficiently

- Taking account of gender, ethical issues, researcher careers and open access to results

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Strong participation by SMEs

• Integrated approach - around 15% of the total budget for societal challenges and LEITs to go to SMEs.

• Simplification of particular benefit to SMEs (e.g. single entry point).

• A new SME instrument, building on the SBIR model, will be used across all societal challenges as well as for the LEITs

• A dedicated activity for research-intensive SMEs in 'Innovation in SMEs'.

• 'Access to risk finance' will have a strong SME focus (debt and equity facility)

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Socio-economic sciences and humanities

• Integrated approach: SSH included as an integral part of the activities, working beyond 'silos‘ (e.g. understanding the determinants of health and optimising the effectiveness of healthcare systems).

• The 'Inclusive, Innovative and Secure Societies' challenge: issues such as smart and sustainable growth, social transformations, social innovation and creativity, the position of Europe as a global actor as well as the social dimension of a secure society (SSH have the tools to contribute to addressing security challenges, enhancing the societal dimension of security policy and research).

• Bottom-up funding: ERC, MCA, Research Infrastructures.

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Widening participation

• Principle of excellence: continue to allocate funding on the basis of competitive calls, selecting only the best projects.

• Accompanying measures to ensure that excellence prevails wherever it exists - clear division of labour between cohesion policy and Horizon 2020.

• Cohesion policy: support for regions in building up their research and innovation capacity.

• Horizon 2020: widen participation, better coordination between the two Union funding programmes, support policy learning reforms.

• Drive for excellence + capacity-building will allow pockets of excellence to grow in less developed regions.

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International cooperation

• International cooperation is crucial to address many Horizon 2020 objectives.

• Principle of general openness: the programme will remain to be the most open funding programme in the world.

• Horizon 2020 shall be open to the association of: acceding countries, candidate countries and potential candidates and selected third countries that fulfil the relevant criteria (capacity, track record, close economic and geographical links to the Union, etc.).

• Targeted actions to be implemented taking a strategic approach to international cooperation (dedicated measures in the 'Inclusive, innovative and secure societies' challenge).

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Comitology

• One programme committee - cross-cutting issues to be discussed more effectively.

• Number of configurations - configuration for each societal challenge / part of Horizon 2020 with a horizontal configuration responsible for cross-cutting issues.

• Programme committees to have a more strategic role.

• Main role: focus on work programmes which should be more strategic, programmatic documents.

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Next steps

From 30/11: Parliament and Council negotiations on the basis of the Commission proposals

Ongoing: Parliament and Council negotiations on EU budget 2014-20 (including overall budget for Horizon 2020)

Mid 2012: Final calls under 7th Framework Programme for Research to bridge gap towards Horizon 2020

By end 2013: Adoption of legislative acts by Parliament and Council on Horizon 2020

1/1/2014: Horizon 2020 starts; launch of first calls

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https://kemlg.upc.edu

ATIC

A

Explorando la red

ATICA vista por sí misma,

e interpretada por Ulises Cortés y Miquel Sànchez-Marrè

Granada, Noviembre de 2012

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ATIC

A

Muestra

27 Grupos

88 Fichas (3,25/grupo) [1..4]

Keywords por ficha 2,44 (moda=3) [1 .. 10]

Gran dispersión por falta de un diccionario consensuado

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ATIC

A

Muestra (2)

Descriptor Aparición Descriptor Aparición

Machine Learning 5 Data Mining 11

Classification 13 Bayesian Networks 6

Artificial Neural Networks

5 RecommenderSystems

5

Decision Making 13 Fuzzy Sets 10

Metaheuristics 13

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ATIC

A

Agricultura

AYRNA

SIMD

FuzzyAidGIARA

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ATIC

A

Biología

AYRNA

PGM

GIC

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ATIC

A

Economía

AYRNA

SINBAD

SIMIDATITAKA

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ATIC

A

Energía

GECD

SIMD

MODO

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ATIC

A

Ambiente

MODOMODO

HEURIMINDHEURIMIND

ITAKAITAKA

SOCOSOCO

KEMLGKEMLG

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ATIC

A Grupos y keywords

MODO Environmental

Applicability of SoftComputing in Environment and Technological Areas: Sustainability

Artificial Neural Networks

Metaheuristics Data Mining fuzzy system

KEMLG Environmental

Supervision and control of a WastewaterTreatment Plant

metaheuristics Data Mining Fuzzy Control

HEURIMIND Environmental EcologicalDynamic Logistics

IntelligentDecisionSupportSystems

metaheuristics

HEURIMIND Environmental

Applicabilityof SoftComputing in Environment and Technological

Metaheuristics Data Mining fuzzy system

ITAKA Environmental Environmental risk analysis

Decision support systems

SOCO EnvironmentalOrigin of faecal pollution in surface water

Classification.

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ATIC

A

Medicina

AYRNAAYRNA

KEMLGKEMLG

SIMDSIMD

AHAAHA

GICGIC

SOCOSOCO

ICAIICAI

LIDIALIDIA

SIMIDATSIMIDAT

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ATIC

A

Grupos y KewordsAYRNA Medecine

Liver transplantations, Donor‐Recipient maching

Supervised Classification

Artificial Neural Networks

Decision‐making

Metaheuristics

GIC Medecine NeuroscienceProbabilistic Graphical Models

KEMLG MedecineNeurorehabilitation in traumatic brain injury

Clustering

KEMLG MedecineAssistive Technologies for the Elders

Decision‐making

SIMD MedecineMachine learning/Data mining in Medicine

Classification.

AHA Medecine

Parkinson Disease symptoms identification and quantification

Clustering

SOCO Medecine

Intelligent decision support for diagnosis in neuro‐oncology

Machine Learning

Medical DecisionSupportSystems

ICAI Medecine Expert System for Electro Cardio Gram

Classification.

Artificial Neural Networks

LIDIA Medecine 

Artificial Intelligence in Medicine. Intelligent Monitoring

Machine Learning Fuzzy Logic

SIMIDAT Medecine  Early diagnosis of Parkinson disease

Classification. Data Mining

SIMIDAT Medecine  Data mining in Psychiatry

Classification. Data Mining

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ATIC

AAreas

© Miquel Sànchez i Marrè, KEMLG, 201215

MEDICINE &E-HEALTH

NEUROSCIENCE

ENVIRONMENT, ENERGY, SUSTAINABILITY & INDUSTRY

BIOINFORMATICS & COMPUTATIONAL

BIOLOGY

EDUCATION, WEB,INTERNET & WELFARE

FORESTRY, AGRICULTURE

& FARMING

ECONOMY, BUSINESS MANAGEMENT & E-COMMERCE

GAMES, VIDEO & IMAGE PROCESSING,WIFI NETWORKS, ELECTRONICS & ROBOTICS

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ATIC

A

Reunión red ATICA, Granada, 22 de Noviembre de 201216

MicroArray Gene Datasets

Neurodegenerative Disease Analysis

Arrythmia recognition

Estimation of haemodynamic clinicalparameters in EchoCardiography

Intelligent Monitoringof Cardiac Patients

Intelligent Modelling of Clinical Guidelines

Intelligent Monitoringof sleep Apneas

Neurorehabilitationin Brain Injury

Parkinson DiseaseSymptoms Identificaction

Interpretation of ECG signal

Physicoterapy & Psychoteraphy

Treatment

Identification of PsychiatricEmergencies & Early detection

of Suicide Tendencies

Diagnosis of HumanBrain Tumors

Neuroimage Analysisin Mental Disorders

Liver Transplantations

Predicting Prostate Pathologies Assistive Technologies for the Elders

Image ForensicIdentification

Modelling Neuronal Morphology

Brain-Computer Interfaces

NEUROSCIENCE

Intelligent Supervision of a WasteWater Treatment Plant

Fecal Pollutionin Surface Water

Sustainability & Renewable Energy

EnergyEfficiency

EnvironmentalRisk Analysis

Nuclear Energy& Reactor Design

Container Port Terminal Logistic

Management

Container Loading Problem

Thermal ControllerManagement

Industrial Production

Fault Diagosis in Industrial Machinery

TransportationEnginnering

Intelligent RouteOptimization

EcologicalDynamic Logistics

Disaster Management & Humanitary Logistics

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ATIC

A

Reunión red ATICA, Granada, 22 de Noviembre de 201217

Predictive MicrobiologyClassification of Earth Surface

Genetic Plant Management

Identification of Agricultural Diseases

Identification of Ripeness degree of Rice

Sheep BreedingValue Computation

Prediction of Economic Crises

Most AccuratePrice of a Property

Robust FinancialPotfolio

Web Miningfor E-Commerce

Periodical MarketingServices

Business Intelligence

Sensory Evaluationof Products

Integral EmployeePerformance Appraisal

ForecastingOlive Oil Price

Company Risk Scenario/ Reputation Analysis

Fast Identificationof Fingerprint

Customers

Intelligent Management of Incidences in a Customer

Service Centre

Customer MorosityAnalysis

Performance IndicatorsAnalysis in Higher Education

Estimation of Web Opinions

Web SemanticBehavioural Targeting

Personalised SportsAdvising

Recommendation of Cultural Activities Smart Cities

DistributedSystems

ScientometricsIntelligentElectronic Books

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ATIC

A

Reunión red ATICA, Granada, 22 de Noviembre de 201218

Game Theory

Video Games

Mobile Games

Acoustic EchoCancellation

Resource Allocation inWIFI Networks & Cognitive Radios

Indoor LocationSystems for

WIFI Networks & Cognitive Radios

Domotics / Emotional Robotics Electric Control

CAD Tools for Neurofuzzy

Systems

Software Engineering/ Distributed Systems

VideoProcessing

Missile WarningSystems

BiometricDescription

ImageCompression

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ATIC

A

Reunión red ATICA, Granada, 22 de Noviembre de 201219

Keywords

MACHINE LEARNING, DATA MINING, CLUSTERING

IMAGE/SIGNAL/PATTERN PROCESSING, INTELLIGENT CONTROL

EVOLUTIONARY COMPUTATIONOPTIMIZATION,METAHEURISTICS,CSP

KERNEL METHODS, CLASSIFICATION, PREDICTION

SEMANTIC TECHNOLOGIES,ONTOLOGIES,COMP. LINGUISTICS

AGENT SYSTEMS & ELECTRONIC INSTITUTIONS

PROBABILISTICREASONING

CASE-BASED REASONINGRECOMMENDER SYSTEMS, (INTELLIGENT )DECISION SUPPORT

ANN,NUMERICAL PREDICTION

FUZZY TECHNIQUES

HUMAN-COMPUTERINTERACTION

RULE-BASED REASONING

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ATIC

A

Reunión red ATICA, Granada, 22 de Noviembre de 201220

Image Processing Image Segmentation

3D Modelling Pattern recognition

Remote Sensing Intelligent Signal Processing

Intelligent Control

Kernel/Multi-Kernel Methods Adaptive Filtering

SVM Automatic Learning of Filters

Classification Prediction, Identificaction

Semantic Classification Supervised Classification

Multi-dimensional ClassificationText Classification

ClusteringMachine Learning /

Online Machine Learning

Feature Selection Data Mining

Data VisualizationAssociation Rules

Ontologies

Semantic Web

Semantic Technologies

Information Retrieval

Computational Linguistics

Fuzzy Control

RecommenderSystems

Decision Making

Decision SupportSystems (DSS)

Intelligent DecisionSupport Systems (IDSS)

Multi-CriteriaDecision SupportSystems (DSS)

Multi-strategyDecision SupportSystems (DSS)

CooperativeDecision Making

Case-BasedReasoning

ANNTime Series

gLinear

Regression

gLogistic

Regression

Wavelet

ySequenceAnalysis

Fuzzy Logic

Fuzzy InferenceSystems

BayesianNetworks

BayesianInference

g

ProbablisticGraphicalModelling

ProbablilisticReasoning

Cost-SensitiveAlgorithms

UncertaintyManagement

gRule-BasedReasoning

EvolutionaryComputation

CollectiveIntelligence

OptimizationCSP

Multi-ObjectiveOptimization

Heuristic / Stochastic

Optimization

NonLinearOptimization

Metaheuristics

Interfaces

Emotional Robotics

AutonomousAgents

NormativeSystems

Electronic Institutions

Agent-OrientedSystems

Keywords

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https://kemlg.upc.edu

ATIC

A

Spanish Research Consortium for Informatics and Mathematics (SparCim)

http://www.sparcim.es/