Centre for Complexity Science & DTC
Antecedants include:
Maths Interdisciplinary Research @ Warwick
EU network Complex Mar...
Our ambition is to lead the UK in Complexity Science, with a ground-
breaking “Complexity Complex” to connect and develop ...
Research Themes & Application Areas
Complexity, Emergence & Upscaling. In
mathematically oriented research we attempt to
c...
Skills training:
• Teamwork,
• collaboration,
• public
communication
of research,
• decision
making,
• career
advancement
...
Is the training component useful for your PhD project?
4= directly useful;
3 = generally useful;
2= marginal;
1 = no obvio...
Crossing disciplines: Student Distribution
(First two cohorts only)
degree background Maths Physics CompSci Chemistry Eng'...
Published:
1.Instability of condensation in the zero-range process with random interaction. S.
Grosskinsky, P. Chleboun, G...
We link with end-users as sources of real-world problems and beneficiaries
from the resulting knowledge and trainees, and ...
Complexity
Visitors and Speakers
Uwe Täuber (Virginia Tech, USA) (S)
Malte Henkel (Nancy, France) (S)
David Mukamel (Weizm...
International dimension
Speakers and visitors
Maths Symposium year: Complexity Science and Systems Biology
ECCS09 ~440 del...
Summary and to do...
• Vibrant Centre, growing large...
• Dynamic cross-disciplinary research programme
• Consolidating te...
Warwick Doctoral Training Centre in
Complexity Science
Aim
•train a new generation of complexity scientists at PhD level,
...
Welcome to Warwick
Open Day schedule
(coffee from 11.00)
11.30 Welcome to Warwick A welcome and introduction to Warwick Un...
Warwick Doctoral Training Centres
http://warwick.ac.uk/go/WISP
2008
Molecular Organisation & Assembly in Cells
Systems Bio...
Complexity Science
Key themes
•Systems of many inter-linked variables/components
•Emergent behaviour: not just an obvious ...
Taught MSc modules:
1. Self-organisation and Emergence.
2. Complexity Science in the real world.
3. Complexity in the time...
Warwick Complexity Forum Tuesdays
Some Past talks:
• Some hard graph problems in telecoms
• Minimising the Cost of Anarchy...
Warwick Interdisciplinary Science PG Certificate in
Transferable Skills
Developed by the DTCs in partnership:
Team buildin...
Miniproject 1 Miniproject 2 PhD project
Nonequilibrium phase transitions in
perturbed particle systems (Maths)
Mitigating ...
Student-side
• Systematic training:
Taught -> Miniprojects (2) -> PhD Project
Transferable skills – to cope with the real ...
The leaders of tomorrow
Vision Communication Presentation
Networking
Practical skills
Theoretical analysis
Teaching
Focus
Robin Ball
Robert MacKay
Yulia TimopfeevaStefan
Grosskinski
Sach Mukherjee
Ellak Somfai
Colm
Connaughton Mario Nicodemi
Y Timofeeva: Modelling calciumwaves
Fire-Diffuse-Fire model - a minimal model for Ca2+
waves
 Biologically realistic, but...
Oleg Zaboronski:
HDD decoding
Ellak Somfai:
Prof RC Ball
Fractal Growth Res. Students & Collaborators
DLA (Diffusion Limited Growth) Sander (Michigan)
ultimate scalin...
Social Sciences –pitch to ESRC
• Information age -> data deluge
– Already revolutionising biology
– Social science area of...
European Dimension
Framework 7 Initial Training Network: call stage 1 closes 7 May.
• Ca 2ME bids with 4-6 nodes.
• Focus ...
Schedule and Resources
06-07 07-08 08-09 09-10 10-11 11-12 12-13 13-14 14-15
3 Assistant Prof’s (EPSRC funds) continuing (...
Warwick Complexity Complex
Origins
•Math’cs of Complex
Systems
•Socio Economic
Dynamics Seminar
EU Networks:
•Networks for...
People and Resources
• EPSRC £4.1M + University contributions
• External support from Land Rover, BAS, RAND, IBM, HP, Dept...
dtcadvboard18mar2010.pptx - Welcome to the University of Warwick
dtcadvboard18mar2010.pptx - Welcome to the University of Warwick
dtcadvboard18mar2010.pptx - Welcome to the University of Warwick
dtcadvboard18mar2010.pptx - Welcome to the University of Warwick
dtcadvboard18mar2010.pptx - Welcome to the University of Warwick
dtcadvboard18mar2010.pptx - Welcome to the University of Warwick
dtcadvboard18mar2010.pptx - Welcome to the University of Warwick
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dtcadvboard18mar2010.pptx - Welcome to the University of Warwick

  1. 1. Centre for Complexity Science & DTC Antecedants include: Maths Interdisciplinary Research @ Warwick EU network Complex Markets Warwick Complexity in Primary Care UniNet EC coordination action Physics: research in Theory Group and CFSA •3 RCUK Fellows in Complexity Science (Maths, Physics, Comp. Sci) EPSRC Doctoral Training Centre •3 further new staff •4 x 8 Research students •Dedicated building Warwick Complexity Complex Centre for Complexity Science
  2. 2. Our ambition is to lead the UK in Complexity Science, with a ground- breaking “Complexity Complex” to connect and develop interdisciplinary research in complexity science at all levels. 0 10 20 30 40 50 60 70 80 2007 2008 2009 2010 2011 2012 P/doc PhD Erasmus M MSc prov MSc academics admin
  3. 3. Research Themes & Application Areas Complexity, Emergence & Upscaling. In mathematically oriented research we attempt to crystallise clear and applicable definitions of information content and emergent behaviour. Complex Fluids and Complex flows. How do a small fraction of interacting particles conspire to dominate their flow properties, and how do those properties influence particular flows? Clustering, Condensation and Jamming. Clustering phenomena are ubiquitous with applications ranging from raindrops to galaxies, and from facebook to traffic jams. Complex Networks & their dynamics. The interplay between the connectivity of a network and its dynamics are central to key challenges today, such as epidemiology, biodiversity, neuroscience and markets. Network Statistical Inference. The inference of network structure is a key approach we use in applications spanning multiple fields, from molecular biology to health and economics. New Applications of Statistical Mechanics. This well developed set of tools finds fresh use in molecular biology, traffic theory and opinion dynamics. •weather & climate •dynamics of opinions and markets •flow of people, cars •diagnosis of cancer, hypertension, heart disease •granular materials •infectious diseases •neural computing •data storage •Molecular biology •theory of complex systems
  4. 4. Skills training: • Teamwork, • collaboration, • public communication of research, • decision making, • career advancement • Two 10/12 week miniprojects (summer term, summer vac, different depts) • 3 year PhD projects each having two supervisors (different depts) The DTC will train a new generation of complexity scientists at PhD level, teaching knowledge and skills to understand, control and design complex systems, and training students to do innovative research in complexity science via critical thinking, interdisciplinary teamwork and end-user interaction. Taught MSc modules: Core: 1. Self-organisation and Emergence. 2. Complexity Science in the real world. 3. Complexity in the time domain. 4. Advanced Statistical Methods. 5. Quantifying correlation and spatio-temporal complexity Options 1. Time Series from a Stochastic Viewpoint. 2. Micro to Macro: PDE methods & applications 3. Quantitative Biology 4. Molecular Modelling 5. Modelling and statistics in Systems Biology 6. Game Theory 7. Maths & Statistics options
  5. 5. Is the training component useful for your PhD project? 4= directly useful; 3 = generally useful; 2= marginal; 1 = no obvious benefit
  6. 6. Crossing disciplines: Student Distribution (First two cohorts only) degree background Maths Physics CompSci Chemistry Eng'ing Economics 10 7 1 1 2 2 dept totals project dept miniproj PhD phd Maths mmmmmmmPPPP mmmPPp P mP 11 8 1 Physics mmPppp mmPPp m m(m)p 6 3 5 Statistics mmmP mmPp mp 6 2 2 Computer Science mmp m P P 3 2 1 Chemistry m 1 Systems Biology m 1 Biology pp m 1 2 Engineering m m p mP 3 1 1 Manufacturing mp 1 1 Medical School mP 1 1 Economics mP mp 2 1 1 Business School mp 1 1 External Partners mpp mmp m (m) 5 3 Left after MSc E EE withdrew w 42 18 18 m= miniproject; P= PhD first supervisor; p= phd second supervisor.
  7. 7. Published: 1.Instability of condensation in the zero-range process with random interaction. S. Grosskinsky, P. Chleboun, G.M. Schutz. Phys. Rev. E 78(3), 030101(R) (2008) 2.Finite size scaling of the spontaneous symmetry breaking model of X-chromosome inactivation, Barker D, Griffiths A, Physica A, Volume: 388 Issue: 6 Pages: 843-850 Published: MAR 15 2009 3.Model Averaging for Biological Networks with Prior Information, S. Mukherjee, T. P. Speed and S. Hill, in Medical Biostatistics for Complex Diseases, ed. F. Emmert- Streib and M. Dehmer, Wiley-VCH April 2010. (Book Chapter) Accepted (conditionally): 2 papers in Adv Complex Systems Submitted: 9 papers to: PLoS Computational Biology, Advances in Complex Systems, J. Evaluation in Clinical Practice, Econometrica, J. Stat. Mech., Nature Methods, J. Stat Phys, Eur. Physics Letters, PNAS. DTC Student Publications 14 publications by 10 of 18 students after MSc+ average 1 year of PhD. Conference presentations: 10 given plus 8 submitted by 11 of 18 students
  8. 8. We link with end-users as sources of real-world problems and beneficiaries from the resulting knowledge and trainees, and sustain a lively intellectual and practically based environment for complexity science. Wider environment: •Visitors and seminar speakers •Workshops, schools and conferences End user engagement: •Visits, seminars and presentations; •Joining European Study Group with Industry, April 2010 •Miniprojects (co-)supervised by HP Labs, BAS, NHSI, JLR, and more offered.... •PhD co-supervision from: BAS, SigLead •Post-doc co-funded by Nikon Metrology (with R MacKay) Practical orientation: •weather & climate •dynamics of opinions and markets •flow of people, cars •diagnosis of cancer, hypertension, heart disease •granular materials •infectious diseases •neural computing •data storage •molecular biology •robotics
  9. 9. Complexity Visitors and Speakers Uwe Täuber (Virginia Tech, USA) (S) Malte Henkel (Nancy, France) (S) David Mukamel (Weizmann, Israel) (S) Alain Comtet (Paris-Sud, France) (S) Beate Schmittmann (Virginia Tech, USA) (S) Claude Godreche (CEA Saclay, France) (S) Federico Vázquez (Palma de Mallorca) (S) Mauro Mobilia (Leeds) (S) Thierry Bodineau (ENS Paris) (S) Gesine Reinert (Oxford) (S) Agnes Radl (Tübingen) (S) Etienne Birmele (Genopole, Evry) (S) Peter Grindrod (Reading) (S) Fatihcan Atay (Leipzig) (S) Keith Briggs (BT) (S) Josef Hofbauer (Wien) (S) Peter Ashwin (Exeter) (S) Mike Field (Houston) (S) David Gilbert (Brunel) (S) Guido Sanguinetti (Sheffield) (S) Z. Bar-Joseph (CMU, USA) (S) M. Girolami (Glasgow, UK) (S) C. Holmes (Oxford, UK) (S) D. Husmeier (Edinburgh, UK) (S) N. Lawrence (Manchester, UK) (S) J. Leskovec (Stanford, USA) (S) G. Sanguinetti (Sheffield, UK) (S) E. Schadt (Pacific Biosciences, USA) (S) R. Silva (UCL, UK) (S) J. Skilling (MEDC, Ireland) (S) M. Stumpf (Imperial, UK) (S) S. Tavaré (Cambridge, UK) (S) J. Winn (Microsoft, UK) (S) E. Xing (CMU, USA) (S)
  10. 10. International dimension Speakers and visitors Maths Symposium year: Complexity Science and Systems Biology ECCS09 ~440 delegates 2 miniprojects & 3 PhD co-supervisors abroad Erasmus Mundus Masters in Complex Systems Science: •Joint with Ecole Polytechnique (Paris), Chalmers University & U. Gothenburg •Complex Systems Society associate partner •Two year Bologna joint masters programme •Five intakes each with scholarships for 10-12 overseas and ca 6 EU students •first overseas recruitment oversubscribed x 10. Related EM Doctorate bids 2010 with EP, Chalmers/GU, ETH Zurich, Torino
  11. 11. Summary and to do... • Vibrant Centre, growing large... • Dynamic cross-disciplinary research programme • Consolidating teaching • Practical and widenning impact • Expanding International dimension • More routes to industry • New strategies for Social Science engagement • Consolidate Postdoc layer into life of centre • Public profile? • Re-think agendas and structures as we become large
  12. 12. Warwick Doctoral Training Centre in Complexity Science Aim •train a new generation of complexity scientists at PhD level, teaching knowledge and skills to •understand, control and design complex systems •do innovative research in complexity science via – critical thinking –interdisciplinary teamwork –end-user interaction. •Comes under wider Warwick Centre for Complexity Science •Housed in dedicated new extension to Maths & Stats building.
  13. 13. Welcome to Warwick Open Day schedule (coffee from 11.00) 11.30 Welcome to Warwick A welcome and introduction to Warwick University. 11.35 Introduction to the DTC Director Prof. Ball introduces the Complexity Science Doctoral Training Centre, including research, curriculum and aims of the centre (with opportunity for Q&A). 12.00 interviews/tours Optional interviews and tours of Complexity Centre and campus. 12.30 Lunch Buffet-style lunch. A good opportunity to meet our current students, some of whom will have organised the lunch. 13.00 Complexity Forum talk Informal and introductory research talk. 14.00- 15.00 interviews/tours; Closing discussion Further opportunities for interviews and tours. Closing discussion with further opportunity for Q&A.
  14. 14. Warwick Doctoral Training Centres http://warwick.ac.uk/go/WISP 2008 Molecular Organisation & Assembly in Cells Systems Biology Complexity Science Maths & Statistics DTC Biomedical Research DTC 2010
  15. 15. Complexity Science Key themes •Systems of many inter-linked variables/components •Emergent behaviour: not just an obvious scale up of individuals •Robustness (under perturbation, damage) •Fluctuations and Noise Common issues •Understanding system response •Forecasting behaviour •Optimising design (cost, performance, robustness ..) Other angles •Large datasets, hidden info (secondary analysis) •The cost-benefit of [high degrees of] choice Boundaries •Complicated is not necessarily complex! •Problems need inspiration from outside their field, with prospect to return it.
  16. 16. Taught MSc modules: 1. Self-organisation and Emergence. 2. Complexity Science in the real world. 3. Complexity in the time domain. 4. Advanced Statistical Methods. 5. Time Series from a Stochastic Viewpoint. 6. Micro to Macro: PDE methods and applications. 7. Quantifying correlation and spatio-temporal complexity 8. Option from MOAC or Systems Biology: 1. Quantitative Biology 2. Molecular Modelling 3. Modelling and statistics in Systems Biology or beyond: 4. Game Theory; Maths options; Statistics Options.
  17. 17. Warwick Complexity Forum Tuesdays Some Past talks: • Some hard graph problems in telecoms • Minimising the Cost of Anarchy in Urban Road Networks • Reliability of Projections of Climate Change • The collective behaviour of animals: from locusts, ants, chickens, pigeons to humans • I am not a heat engine (Jack Cohen, UoW) • Biophysical modelling of single neurons and small neural networks. • Finite size effects in turbulent inverse cascades. • Ant Colonies as Complex Systems • Combinatorial Chemistry • Complexity, Resilience and Safety • Agent modelling of Chemical systems • Natural Complexity (British Antarctic Survey)
  18. 18. Warwick Interdisciplinary Science PG Certificate in Transferable Skills Developed by the DTCs in partnership: Team building, communication of science, decision making, leadership, ethics, finances, research proposals, careers •To enable our programme to be adopted by DTC’s and deptartments •To help students in the job-race  ???? The future Challenge students on every front: multidisciplinary science needs more than just world leading science
  19. 19. Miniproject 1 Miniproject 2 PhD project Nonequilibrium phase transitions in perturbed particle systems (Maths) Mitigating harbour storms by enhancing nonlinear wave interactions (Engineering) Dynamics of clustering and condensation in granular media (Maths/Physics) Collective dynamics and evolutionary game theory (Maths) Measuring and Modelling the PDF of Energy Flux in Two--dimensional Turbulence (Maths) Quantifying Emergence in Complex Systems (Physics/Maths) Synchronisation in complex networks (Maths) Sparse Bayesian Learning for Targeted Cancer Therapy (Statistics) Dynamic network inference for cancer subtypes (Statistics/Physics) Granular segregation (Physics) The abundance of species in ecosystems (CFSA & British Antarctic Survey) (to be chosen Feb) Filtering properties of resonant dendrites (Computer Science) Citation Analysis (Maths) Designing detectors for different gene regulation states in cells. (Systems Biology/Physics/Biology) Game theoretic modelling in economics (Statistics) Out-of-equilibrium dynamics in markets and games (Economics) Bargaining and out-of-equilibrium dynamics in large markets (Economics/Statistics) Unravelling Combinatorial Chemistry (Theoretical Physics) Complexity in Service Science (HP Labs, Bristol, & W Business School) Biologically Plausible Attractor Networks - in neuroscience. (Computer Science/Engineering) Automated classification of astronomical spectra using artificial neural networks (Astronomy) The Vitroskeleton (Systems Biology) (chose to leave with MSc)
  20. 20. Student-side • Systematic training: Taught -> Miniprojects (2) -> PhD Project Transferable skills – to cope with the real world nationally acclaimed programme developed by (MOAC) • Dedicated new staff from across: Physics (2), Mathematics(2), Computer Science, Statistics, plus 12 experienced staff as directors/co-directors • Own desk in our dedicated Research Centre – for all students • International Environment (MRC and EM) • Budget responsibility: Consumables for projects, travel, and training. • ‘Pastoral care’. • Departmental research environments (2 PhD supervisors). • Four years full funding & laptop (EU national, UK resident)
  21. 21. The leaders of tomorrow Vision Communication Presentation Networking Practical skills Theoretical analysis Teaching Focus
  22. 22. Robin Ball Robert MacKay Yulia TimopfeevaStefan Grosskinski Sach Mukherjee Ellak Somfai Colm Connaughton Mario Nicodemi
  23. 23. Y Timofeeva: Modelling calciumwaves Fire-Diffuse-Fire model - a minimal model for Ca2+ waves  Biologically realistic, but computationally cheap  Ideal for exploring the effects of spatial heterogeneity and stochastic Ca2+ release events Living cell FDF model Parker lab (Irvine) Clapham lab (Boston) N Callamaras et al., J. Physiol., 1998 Spiral wave in FDF model Spiral waves in living cells
  24. 24. Oleg Zaboronski: HDD decoding
  25. 25. Ellak Somfai:
  26. 26. Prof RC Ball Fractal Growth Res. Students & Collaborators DLA (Diffusion Limited Growth) Sander (Michigan) ultimate scaling; three dimensions; Bowler anisotropy; Somfai (->Oxford) Fractal Dendritic Growth Goold Snowflake Aggregation P. Field (MetOffice) Westbook Fracture Dynamics Parisi →France Granular Matter Edwards, Blumenfeld Marginally rigid state (Cambridge) Stress transmission laws KITP programme Somfai (Oxford) Protein Folding Associative memory: sequence->morphology Fink →Inst Curie Size vs folding kinetics Faisca → CFTC Lisbon Emergent Fermions Local Quantum Spins + particular coupling non-trivial ground state order with fermions as elementary excitations New: works backwards, rather generally. PRL (2005) 95, 176407  x x z z  y y     
  27. 27. Social Sciences –pitch to ESRC • Information age -> data deluge – Already revolutionising biology – Social science area of opportunity • Seek to complement EPSRC support – Research fellows – PhD places: social science orientation and problems BUT training in and developing science-based methods – High employability
  28. 28. European Dimension Framework 7 Initial Training Network: call stage 1 closes 7 May. • Ca 2ME bids with 4-6 nodes. • Focus to be on structured training, boosting employability and career. • Early stage researchers: PhD students; p/doc positions tricky. • Warwick leading bid, with other nodes: • ISI Torino: Mario Rasetti • Institut des Systemes Complexes, Paris: Paul Bourgine • Max Planck Institute Leipzig: Jurgen Jost • ETH Zurich: Frank Schweitzer • Our industrial partners a key ingredient.
  29. 29. Schedule and Resources 06-07 07-08 08-09 09-10 10-11 11-12 12-13 13-14 14-15 3 Assistant Prof’s (EPSRC funds) continuing (Univ funds): Maths, Physics, Statistics. [3 RCUK Fellows “Core Complexity Science”: CS, Physics, Maths] 7 EPSRC funded students ??? 8 EPSRC funded students ??? 8 EPSRC funded students ??? 8 EPSRC funded students ??? Centre management costs (EPSRC) continuing (Univ) Physical Location for Complexity Science Centre (Univ provision) •Land Rover, •British Antarctic Survey, •RAND Europe Ltd, •IBM UK Ltd, •Hewlett-Packard Ltd, •Dept of Health NCCRCD •NHS Inst for Innov’n & Improvem’t •UK MetOffice. Further Support:
  30. 30. Warwick Complexity Complex Origins •Math’cs of Complex Systems •Socio Economic Dynamics Seminar EU Networks: •Networks for Science & Society •Complex Markets •Warwick Complexity Forum •MIR@W research meetings •3+3 RCUK Fellows Complexity Science Doctoral Training Centre -train new generation of complexity scientists at PhD level -understand, control and design complex systems -critical thinking -interdisciplinary teamwork -end-user interaction: Healthcare, IT based Services, Manufacturing, Environment … 4 x 8 MScPhD + O/S 3 dedicated Lecturers New building Graduate “summer” Schools Future International links developing: ISI Torino Boston U discussions/proposals: MPI Leipzig ISC Paris ETH Zurich Santa Fe Key challenge: impact society
  31. 31. People and Resources • EPSRC £4.1M + University contributions • External support from Land Rover, BAS, RAND, IBM, HP, Dept of Health, NHSI, UK MetOffice. • Dedicated ‘hothouse’ Centre (in Maths & Stats extension) • 31 x 4-year studentships split across four intake years • 3 Assistant Professors + 0.5 Director + 0.1 Chair (5 years) • 3 RCUK Fellows • Interest -> involvement from associated staff in 12 departments.

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