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dtcadvboard18mar2010.pptx - Welcome to the University of Warwick Presentation Transcript

  • 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
    Warwick Complexity
    Complex
    Centre for Complexity Science
    • 3 RCUK Fellows in Complexity Science
    (Maths, Physics, Comp. Sci)
    EPSRC Doctoral Training Centre
    • 3 further new staff
    • 2. 4 x 8 Research students
    • 3. Dedicated building
  • 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.
  • 4. 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
    • 5. dynamics of opinions and markets
    • 6. flow of people, cars
    • 7. diagnosis of cancer, hypertension, heart disease
    • 8. granular materials
    • 9. infectious diseases
    • 10. neural computing
    • 11. data storage
    • 12. Molecular biology
    • 13. 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:
    • Teamwork,
    • 14. collaboration,
    • 15. public communication of research,
    • 16. decision making,
    • 17. career advancement
    • 18. Two 10/12 week miniprojects (summer term, summer vac, different depts)
    • 19. 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
  • 20. Crossing disciplines: Student Distribution(First two cohorts only)
  • 21. 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
  • 22. 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;
    • 23. Joining European Study Group with Industry, April 2010
    • 24. Miniprojects (co-)supervised by HP Labs, BAS, NHSI, JLR, and more offered....
    • 25. PhD co-supervision from: BAS, SigLead
    • 26. Post-doc co-funded by Nikon Metrology (with R MacKay)
    Wider environment:
    • Visitors and seminar speakers
    • 27. Workshops, schools and conferences
    Practical orientation:
    • weather & climate
    • 28. dynamics of opinions and markets
    • 29. flow of people, cars
    • 30. diagnosis of cancer, hypertension, heart disease
    • 31. granular materials
    • 32. infectious diseases
    • 33. neural computing
    • 34. data storage
    • 35. molecular biology
    • 36. robotics
  • 2007
    Sijbren Otto (Cambridge) (F)
    BeataOborny (Eötvös) (F)
    Myrna Wooders (Vanderbilt) (F)
     
    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)
     
     
    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)
    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
  • 37. 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
    • 38. Complex Systems Society associate partner
    • 39. Two year Bologna joint masters programme
    • 40. Five intakes each with scholarships for 10-12 overseas and ca 6 EU students
    • 41. first overseas recruitment oversubscribed x 10.
    Related EM Doctorate bids 2010 with EP, Chalmers/GU, ETH Zurich, Torino
  • 42. 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
    • 43. New strategies for Social Science engagement
    • 44. Consolidate Postdoc layer into life of centre
    • 45. Public profile?
    • 46. Re-think agendas and structures as we become large
  • 47. Warwick Doctoral Training Centre in Complexity Science
    Aim
    • train a new generation of complexity scientists at PhD level,teaching knowledge and skills to
    • 48. understand, control and design complex systems
    • 49. do innovative research in complexity science
    via
    • critical thinking
    • 50. interdisciplinary teamwork
    • 51. end-user interaction.
    • 52. Comes under wider Warwick Centre for Complexity Science
    • 53. Housed in dedicated new extension to Maths & Stats building.
  • Welcome to Warwick
  • 54. 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
  • 55. Complexity Science
    Key themes
    • Systems of many inter-linked variables/components
    • 56. Emergent behaviour: not just an obvious scale up of individuals
    • 57. Robustness (under perturbation, damage)
    • 58. Fluctuations and Noise
    Common issues
    • Understanding system response
    • 59. Forecasting behaviour
    • 60. Optimising design (cost, performance, robustness ..)
    Other angles
    • Large datasets, hidden info (secondary analysis)
    • 61. The cost-benefit of [high degrees of] choice
    Boundaries
    • Complicated is not necessarily complex!
    • 62. 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.
  • 63. 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)
  • 64.
  • 65.
  • 66.
  • 67. 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
  • 68.
  • 69.
  • 70. 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)
  • 71. The leaders of tomorrow
    Presentation
    Communication
    Vision
    Teaching
    Theoretical analysis
    Networking
    Focus
    Practical skills
  • 72. Robin Ball
    Stefan
    Grosskinski
    Yulia Timopfeeva
    Robert MacKay
    Colm
    Connaughton
    Ellak Somfai
    Mario Nicodemi
    Sach Mukherjee
  • 73.
  • 74. Y Timofeeva: Modelling calciumwaves
    Fire-Diffuse-Fire model - a minimal model for Ca2+ waves
    • Biologically realistic, but computationally cheap
    • 75. 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
  • 76. Oleg Zaboronski:
    HDD decoding
  • 77. Ellak Somfai:
  • 78. Prof RC Ball
  • 79.
  • 80. 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
  • 81. European Dimension
    Framework 7 Initial Training Network: call stage 1 closes 7 May.
    • Ca 2ME bids with 4-6 nodes.
    • 82. Focus to be on structured training, boosting employability and career.
    • 83. Early stage researchers: PhD students;
    p/doc positions tricky.
    • Warwick leading bid, with other nodes:
    • 84. ISI Torino: Mario Rasetti
    • 85. Institut des Systemes Complexes, Paris: Paul Bourgine
    • 86. Max Planck Institute Leipzig: Jurgen Jost
    • 87. ETH Zurich: Frank Schweitzer
    • 88. Our industrial partners a key ingredient.
  • Schedule and Resources
    • Land Rover,
    • 89. British Antarctic Survey,
    • 90. RAND Europe Ltd,
    • 91. IBM UK Ltd,
    • 92. Hewlett-Packard Ltd,
    • 93. Dept of Health NCCRCD
    • 94. NHS Inst for Innov’n & Improvem’t
    • 95. UK MetOffice.
    Further
    Support:
  • 96. Warwick Complexity Complex
    Complexity Science Doctoral Training Centre
    • train new generation of complexity scientists at PhD level
    • 97. understand, control and design complex systems
    • 98. critical thinking
    • 99. interdisciplinary teamwork
    • 100. 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
    • 101. Socio Economic Dynamics Seminar
    EU Networks:
    • Networks for Science & Society
    • 102. Complex Markets
    • 103. Warwick Complexity Forum
    • 104. MIR@W research meetings
    • 105. 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
  • 106. 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.