Centre for Complexity Science & DTC Antecedants include:

Maths Interdisciplinary Research @ WarwickEU network Complex MarketsWarwick Complexity in Primary CareUniNet EC coordination actionPhysics: 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

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.

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P/docPhDErasmus MMSc provMScacademicsadmin

Research Themes & Application AreasComplexity, 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

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 complexityOptions6. Time Series from a Stochastic Viewpoint.7. Micro to Macro: PDE methods & applications8. Quantitative Biology9. Molecular Modelling10. Modelling and statistics in Systems Biology

11. Game Theory 12. Maths & Statistics options

Is the training component useful for your PhD project?

4= directly useful; 3 = generally useful; 2= marginal; 1 = no obvious benefit

Crossing disciplines: Student Distribution(First two cohorts only)

degree background Maths Physics CompSci Chemistry Eng'ing Economics

10 7 1 1 2 2 dept totalsproject dept miniproj PhD phdMaths mmmmmmmPPPP mmmPPp P mP 11 8 1Physics mmPppp mmPPp m m(m)p 6 3 5Statistics mmmP mmPp mp 6 2 2Computer Science mmp m P P 3 2 1Chemistry m 1Systems Biology m 1Biology pp m 1 2Engineering m m p mP 3 1 1Manufacturing mp 1 1Medical School mP 1 1Economics mP mp 2 1 1Business School mp 1 1External Partners mpp mmp m (m) 5 3Left after MSc E EEwithdrew w

42 18 18m= miniproject; P= PhD first supervisor; p= phd second supervisor.

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

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

Complexity Visitors and Speakers

2007Sijbren Otto (Cambridge) (F)Beata Oborny (Eötvös) (F)Myrna Wooders (Vanderbilt) (F) 

2008Ole Peters (UCLA and Imperial) (F)Gunter Schuetz (Forschungszentrum Juelic) (F) Alan McKane (Manchester) (F)Edmund Chattoe-Brown (Leicester) (F)Christian von Ferber (Coventry) (F)Stuart Crampin (Edinburgh) (F)Emma Uprichard (York) (F)Chris Burton (Edinburgh) (F)Chris Budd (Bath) (F)Andreas Dress (Shanghai) (O)Thomas Fink (Institut Curie) (F)Seth Bullock (Southampton) (F)Sergei Petrovskii (Leicester) (F)Alexandra Tzella (ENS, Paris) (F)Paul Krapivsky (Boston) (O)D. Feldman (College of the Atlantic) (M)D. Nerukh (Cambridge) (M)R. Clarke and M. Freeman (British Antarctic Survey) (M) Pica Ciamarra (Napoli) (M)P. Richard (Rennes) (M)A. Valence (Rennes) (M)M. Swift (Nottingham) (M)J. Yeomans (Oxford) (M)D.E. Wolf (Duisburg) (M)R. Delannay (Rennes) (M)David Colquhoun (UCL) (M)Alan G. Hawkes (Swansea) (M)Frank G. Ball (Nottingham) (M)Denis Noble (Oxford) (M)A. Pombo (Imperial) (M)R. Goldstein (Cambridge) (M)P. Fraser (Cambridge) (M) M. Caselle (Turin) (M)D. Marenduzzo (Edinburg) (M) T. Biler (Wroclaw) (M)J. Levy-Vehel (INIRA, Paris) (M)F. Mainardi (Bologna) (M)M. Meerschaert (Michigan state University) (M)S. Samko (Universidade do Algarve) (M)R. Schilling (Dresden) (M)J.L. Wu (Swansea) (M)Eddie Wilson (Bristol) (M)Armin Seyfried (Jülich) (M)Richard Connors (Leeds) (M)Rosemary Harris (QML) (M)Ben Mestel (Open University) (M)Alberto Pinto (Minho, Portugal) (M)Alan Kirman (Marseille) (M)David Broomhead (Manchester) (M)Tomas Bohr (Lyngby, Denmark) (M)Phil Holmes (Princeton) (M)Chris Bauch (Guelph, Canada) (M)Andrew Millar (Edinburgh) (M)Minus van Baalen (Paris) (M)Erik Mosekilde (Lyngby, Denmark) (M)S. Redner (Boston) (O)O. Alexandrova (Koeln) (S)P. Bartello (McGill) (S)P. Berloff (Woods Hole) (S)W. Bos (Lyon) (S)J-M. Chomaz (CNRS-Ecole Polytechnique) (S)S. Cowley (UCLA) (S)P. Davidson (Cambridge) (S) W. Dorland (Maryland) (S)D.  Dritschel (St. Andrews) (S)R. Ecke (CNLS-LANL) (S)S. Fauve (ENS Paris) (S)J.-B. Flor (Grenoble) (S)B. Galperin (Florida) (S)S. Galtier (U. Paris-Sud) (S)P. Haynes (Cambridge) (S)J. Hunt (UCL) (S)M. McIntyre (Cambridge) (S)K. Moffatt (Cambridge) (S)J.-F. Pinton (ENS Lyon) (S)A. Pouquet (NCAR) (S)F. Sahraoui (CNRS) (S)A. Schekochihin (Imperial) (S)J. Shipton (Oxford) (S)C. Staquet (Grenoble) (S)J. Sukhatme (Wisconsin) (S)S. Sukoriansky (Ben Gurion) (S)C. V. Tran (St. Andrews) (S)J.C. Vassillicos  (Imperial) (S)T. Yousef (Cambridge) (S)V. Zeitlin (ENS Paris)  (S) 

2009Vincent Danos (Edinburgh) (F)Jerry Gollub (Haverford) (F)Nick Watkins (BAS) (F)Sandra Eldridge (QMUL) (F) Eduardo Lopez (Oxford) (F)Alan Winfield (UWE) (F)Carl May (Newcastle) (F)Marc Timme (Gottingen) (F)Tim Evans (Imperial) (F)Konstantin Blyuss (Bristol) (F)Ivan Tyukin (Leicester) (F)Moez Draief (Imperial) (F)Mark Muldoon (Manchester) (F)Roger Guesnerie (College de France) (M)Herbert Gintis (Santa Fe Institute) (M)Gabriel Desgranges (University of Cergy-Pontoise) (M)John Cardy (Oxford) (M)Markus Kraft (Cambridge) (M)James Norris (Cambridge) (M)Amanda Turner (Lancaster)(M)Martin Evans (Edinburgh) (M)Tomohiro Sasamoto (Munich)(M)Neil Johnson (Miami) (M)Ed Bullmore (Cambridge) (M)Lenny Smith (Oxford) (M)Maxime Clusel (New York) (M)Christian Franzke (British Antarctic Survey) (M)Francois Képès (Paris) (M)Holger Kantz (Dresden) (M)Andras Lorincz (Budapest) (M)Mark Chaplain (Dundee) (M)Felix Reed-Tsochas (Oxford) (M)Jeffrey Johnson (Open Univ) (M)S. Cowley (Culham) (M)A. Schekochihin (Oxford)  (M)  

2010 Karoline Wiesner (Bristol) (F)Sarah Teichmann(Cambridge) (F)Damon Centola (MIT) (O)Tobias Galla (Manchester) (F)Martin Weigt (ISI Torino) (F)Ralph Kenna (Coventry) (F)R.Blythe (Edinburgh) (M)T.Alarcon (Bilbao) (M)A.Black (Manchester) (M)N.Britton (Bath) (M)J.Tailleur (Edinburgh) (M)Jeremie Bec (Observatoire de la Cote d'Azur) (M)Tim Nattkemper (Bielefeld) (M)Chris Taylor (Manchester) (M)Henrik Jensen (Imperial) (S) Martin Evans (Edinburgh) (S) Eli Ben-Naim (Los-Alamos National Laboratory) (S) Satya Majumdar (Orsay) (S)Deepak Dhar (Tata Institute) (S) Ronald Dickman (Universidade Federal de Minas Gerais, Brasil) (S) Ravindran Rajesh (IMS, Chennai, India) (S)Martin Howard (Norwich, UK) (S)Sergei Petrovskii (Leicester, UK) (S)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)

International dimensionSpeakers and visitorsMaths 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

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

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.

Welcome to WarwickOpen 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.

Warwick Doctoral Training Centreshttp://warwick.ac.uk/go/WISP

2008

Molecular Organisation & Assembly in Cells

Systems Biology

Complexity Science

Maths & Statistics DTC

Biomedical Research DTC

2010

Complexity ScienceKey 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.

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 Biology2. Molecular Modelling3. Modelling and

statistics in Systems Biology

or beyond:4. Game Theory; Maths

options; Statistics Options.

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)

Warwick Interdisciplinary Science PG Certificate in

Transferable SkillsDeveloped 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

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)

Student-side• Systematic training:Taught -> Miniprojects (2) -> PhD ProjectTransferable 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)

The leaders of tomorrow

Vision Communication Presentation

Networking

Practical skills

Theoretical analysis

Teaching

Focus

Robin BallRobert MacKay

Yulia TimopfeevaStefan Grosskinski

Sach Mukherjee

Ellak SomfaiColmConnaughton Mario Nicodemi

Y Timofeeva: Modelling calcium wavesFire-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

Oleg Zaboronski: HDD decoding

Ellak Somfai:

Prof RC BallFractal 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 → CFT C 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

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

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.

Schedule and Resources06-07 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.

FurtherSupport:

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/S3 dedicated LecturersNew building

Graduate “summer” Schools

Future

International links developing:

ISI TorinoBoston U

discussions/proposals:

MPI LeipzigISC ParisETH Zurich

Santa Fe

Key challenge: impact society

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.