Mathematics in H2020. ICT Proposers' Day. Anni Hellman DG CONNECT European Commission

Transcription

1 Mathematics in H2020 ICT Prpsers' Day Anni Hellman DG CONNECT Eurpean Cmmissin

2 The cnclusins frm ur cnsultatin n mathematics fr H2020 Why mathematics is imprtant in prpsals Messages frm mathematicians t prpsers

3 Cnsultatins fr Excellence in Science

4 Why? Because The wrld has becme very cmplex. T many parameters T much data t make cnclusins withut help Mathematics is needed because Science has becme data driven. Data needs analysing, and analysing needs mathematical tls and methds

5 Why? Because The wrld has becme very cmplex. T many parameters T much data t make cnclusins withut help Mathematics is needed because Data crunching needs cmputing pwer, and cmputing, especially HPC, needs algrithms and mathematics. Quantum cmputing is mathematics

6 Why? Because The wrld has becme very cmplex. T many parameters T much data t make cnclusins withut help Mathematics is needed because Prblems and required mdels are mre and mre cmplex Slutins need t cnsider mre and mre parameters Als imprbabilities need t be cnsidered (lk at twin twers) Online cnstant changes need t be built in

7 The nline cnsultatin was carried ut between January and May 2016 was cmplementary t the cnsultatin and wrkshp n mathematics in 2014 Wanted t identify imprtant existing and emerging mathematical dmains Lked fr ptential fr H2020 WP New mathematical areas r ideas t cnsider Mathematics t include int tpics Identified ptential als fr H2020 WP2017 tpics t cnsider mathematical participatin

8 The Cnsultatin was a success! We received 181 respnses frm a wealth f mathematical disciplines frm high level cntributrs the fields which are especially relevant t DG CONNECT were well present: Mdelling, simulatin and ptimisatin (MSO) Bimathematics Algrithms and ptimizatin methdlgies fr HPC and cmputing Varius methdlgies data analytics

9 What tpics were cvered? 1. EXECUTIVE SUMMARY 2. BACKGROUND 3. MATHEMATICS IN EUROPE TODAY 4. COLLABORATION, CONVERGENCE AND INTERACTION 5. CHALLENGES TO TACKLE 6. MATHEMATICS FOR INDUSTRY AND INNOVATION 7. MATHEMATICS FOR HPC 8. QUANTUM 9. DATA ANALYSIS 10. MODELLING AND SIMULATION METHODOLOGIES 11. BIOMATHEMATICS 12. OTHER MATHEMATICAL AREAS 13. SUMMARY

10 Areas cvered

11 Actins prpsed

12 Cuntries f cntributrs Participants per cuntry

13 Summary

14 Cnclusin frm the Cnsultatin There is vast ptential in the mathematical wrld in Eurpe There is relevance fr ur WP tpics Prpsals will have better quality with mathematical participatin We recmmend mathematicians t be active We recmmend partners t talk with mathematicians

15 FET ICT NANO LEIT FETHPC : Transitin t Exascale Cmputing Specific FETHPC : Exascale HPC ecsystem develpment ICT : Interfaces fr accessibility ICT : Micr- and nanelectrnics technlgies NMBP : Next generatin system integrating tangible and intangible materials mdel cmpnents t supprt innvatin in industry NMBP : Innvative slutins fr the cnservatin f 20th century cultural heritage COMPET : High speed data chain Scietal Challenges SC1-PM : Persnalised caching fr well-being and care f peple as they age SC1-PM : In-silic trials fr develping and assessing bimedical prducts SC1-PM : Persnalised cmputer mdels and in-silic systems fr well-being

16 Scietal challenges LCE : New knwledge and technlgies LCE : Next generatin innvative technlgies enabling smart grids, strage and energy system integratin with increasing share f renewables: distributin netwrk MG : Innvative ICT slutins fr future lgistics peratins MG : Ptential f the Physical Internet ART : ICT infrastructure t enable the transitin twards rad transprt autmatin CO-CREATION : Plicy-develpment in the age f big data: datadriven plicy-making, plicy-mdelling and plicy-implementatin DS : Cryptgraphy DS : Addressing Advanced Cyber Security Threats and Threat Actrs FOF FOF : ICT Innvatin fr Manufacturing SMEs (I4MS)

17 The reprt: