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dtcadvboard18mar2010.pptx - Welcome to the University of WarwickPresentation Transcript
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 Warwick Complexity Complex Centre for Complexity Science
3 RCUK Fellows in Complexity Science
(Maths, Physics, Comp. Sci) EPSRC Doctoral Training Centre
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.
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
theory of complex systems
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: Self-organisation and Emergence. Complexity Science in the real world. Complexity in the time domain. Advanced Statistical Methods. Quantifying correlation and spatio-temporal complexity Options Time Series from a Stochastic Viewpoint. Micro to Macro: PDE methods & applications Quantitative Biology Molecular Modelling Modelling and statistics in Systems Biology Game Theory Maths & Statistics options Skills training:
public communication of research,
Two 10/12 week miniprojects (summer term, summer vac, different depts)
3 year PhD projectseach having two supervisors (different depts)
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)
DTC Student Publications 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. 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. 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)
Visitors and seminar speakers
Workshops, schools and conferences
weather & climate
dynamics of opinions and markets
flow of people, cars
diagnosis of cancer, hypertension, heart disease
2008 Ole Peters (UCLA and Imperial) (F) Gunter Schuetz (ForschungszentrumJuelic) (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-EcolePolytechnique) (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)
2009 Vincent 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)MoezDraief (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) MaximeClusel (New York) (M) Christian Franzke (British Antarctic Survey) (M) Francois Képès (Paris) (M) Holger Kantz (Dresden) (M) AndrasLorincz (Budapest) (M) Mark Chaplain (Dundee) (M) Felix Reed-Tsochas (Oxford) (M) Jeffrey Johnson (Open Univ) (M) S. Cowley (Culham) (M) A. Schekochihin (Oxford) (M)
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) JeremieBec (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) SatyaMajumdar (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) UweTäuber (Virginia Tech, USA) (S) Malte Henkel (Nancy, France) (S) David Mukamel (Weizmann, Israel) (S) Alain Comtet (Paris-Sud, France) (S) BeateSchmittmann (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) GesineReinert (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) Complexity Visitors and Speakers
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 EcolePolytechnique (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
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
Comes under wider Warwick Centre for Complexity Science
Housed in dedicated new extension to Maths & Stats building.
Welcome to Warwick
Warwick Doctoral Training Centres http://warwick.ac.uk/go/WISP Molecular Organisation & Assembly in Cells Systems Biology Complexity Science 2008 Biomedical Research DTC Maths & Statistics DTC 2010
Complexity Science Key themes
Systems of many inter-linked variables/components
Emergent behaviour: not just an obvious scale up of individuals
Problems need inspiration from outside their field, with prospect to return it.
Taught MSc modules: Self-organisation and Emergence. Complexity Science in the real world. Complexity in the time domain. Advanced Statistical Methods. Time Series from a Stochastic Viewpoint. Micro to Macro: PDE methods and applications. Quantifying correlation and spatio-temporal complexity 8. Option from MOAC or Systems Biology: Quantitative Biology Molecular Modelling 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 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
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)
The leaders of tomorrow Presentation Communication Vision Teaching Theoretical analysis Networking Focus Practical skills
Robin Ball Stefan Grosskinski Yulia Timopfeeva Robert MacKay Colm Connaughton Ellak Somfai Mario Nicodemi Sach Mukherjee
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) Spiral waves in living cells Spiral wave in FDF model N Callamaras et al., J. Physiol., 1998
Oleg Zaboronski: HDD decoding
Prof RC Ball
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 Resources
British Antarctic Survey,
RAND Europe Ltd,
IBM UK Ltd,
Dept of Health NCCRCD
NHS Inst for Innov’n & Improvem’t
Warwick Complexity Complex Complexity Science Doctoral Training Centre
train new generation of complexity scientists at PhD level
understand, control and design complex systems
end-user interaction: Healthcare, IT based Services, Manufacturing, Environment …
4 x 8 MScPhD + O/S 3 dedicated Lecturers New building Graduate “summer” Schools Origins
Math’cs of Complex Systems
Socio Economic Dynamics Seminar
Networks for Science & Society
Warwick Complexity Forum
MIR@W research meetings
3+3 RCUK Fellows
Future International links developing: ISI Torino Boston U discussions/proposals: MPI Leipzig ISC Paris ETH 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.