Moritz

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Moritz

  1. 1. MORITZ STEFANERTRUTH & BEAUTYOPERATIONSChALS ’12 // GothenburgSep 2012
  2. 2. MORITZ STEFANERTRUTH&BEAUTY OPERATOR1999 – 2002 Web designer2002 – 2005 BSc Cognitive Science2005 – 2007 MA Interface Design2007 – 2009 Research assistant FH Potsdam2004 – Freelance information visualizer working for Skype, World Economic Forum, dpa, OECD…
  3. 3. Organic Link NetworkMoritz Stefaner, 2002
  4. 4. Elastic Tag MapsMoritz Stefaner, 2007
  5. 5. Elastic ListsMoritz Stefaner, 2007
  6. 6. Max Planck Research Networkshttp://max-planck-research-networks.net With Christopher Warnow / onformative
  7. 7. Quantitative analysis with Tableau Sheet  1 Sheet  1 name Year name nam e 40% 40% Max-­Planck-­Institut  für  Physik  (Werner-­Heisenberg-­Institut) %  of  Total  Weight %  of  Total  Weight 30% Max-­Planck-­Institut  für  extraterrestrische  Physik 30% Max-­Planck-­Institut  für  Physik  (Werner-­ Max-­Planck-­Institut  für  Physik  (Werner-­ Max  Planck  Institut  für  Kernphysik 20% Heisenberg-­Institut) 20% Heisenberg-­Institut) Max  Planck  Institute  for  Solid  State  Research 10% 10% Max-­Planck-­Institut  für  Radioastronomie 0% 0% 20% Max-­Planck-­Institut  für  Astronomie 20% %  of  Total  Weight %  of  Total  Weight 15% 15% Max  Planck  Gesellschaft  zur  Förderung  der  Wissenschaften Max-­Planck-­Institut  für  extraterrestrische Max-­Planck-­Institut  für  extraterrestrische Max-­Planck-­Institut  für  Sonnensystemforschung 10% Physik 10% Physik Max  Planck  Institute  of  Biochemistry 5% 5% Max-­Planck-­Institut  für  Astrophysik 0% 0% Max  Planck  Institute  for  Chemistry  (Otto  Hahn  Institute) %  of  Total  Weight %  of  Total  Weight 20% 20% Max  Planck  Institute  for  Molecular  Genetics Max  Planck  Institut  für  Kernphysik Max  Planck  Institute  for  Polymer  Research Max  Planck  Institut  für  Kernphysik 10% 10% Max-­Planck-­Institut  für  Plasmaphysik Max  Planck  Institute  for  Metals  Research 0% 0% Fritz  Haber  Institute  of  the  Max  Planck  Society %  of  Total  Weight %  of  Total  Weight 10% Max  Planck  Institute  for  Biophysical  Chemistry  (Karl  Friedrich  Bonhoeffer  Institute) 10% Max  Planck  Institute  for  Solid  State Max-­Planck-­Institut  für  Quantenoptik Max  Planck  Institute  for  Solid  State Research Research 5% Max-­Planck-­Institute  for  the  Physics  of  Complex  Systems 5% Max-­Planck-­Institut  für  Psychiatrie 0% 0% 15% 15% %  of  Total  Weight %  of  Total  Weight 10% 10% Max-­Planck-­Institut  für  Radioastronomie Max-­Planck-­Institut  für  Radioastronomie 5% 5% 0% 0% 10% 10% %  of  Total  Weight %  of  Total  Weight Max-­Planck-­Institut  für  Astronomie 5% Max-­Planck-­Institut  für  Astronomie 5% 0% 0% 10% %  of  Total  Weight 10% %  of  Total  Weight Max  Planck  Gesellschaft  zur  Förderung  der Wissenschaften 5% Max  Planck  Gesellschaft  zur  Förderung  der Wissenschaften 5% 0% 8% 0% %  of  Total  Weight 8% %  of  Total  Weight 6% 6% Max-­Planck-­Institut  für Sonnensystemforschung 4% Max-­Planck-­Institut  für Sonnensystemforschung 4% 2% 2% 0% 0% %  of  Total  Weight 6% %  of  Total  Weight 6% Max  Planck  Institute  of  Biochemistry 4% Max  Planck  Institute  of  Biochemistry 4% 2% 2% 0% Max-­Planck-­Institut  für  Astrophysik 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 0% Max-­Planck-­Institut  für  Astrophysik 1993 1998 2003 2008The  trend  of  %  of  Total  Weight  for  Year  broken  dow n  by  name.    Color  show s  details  about  name.    Details  are  show n  for  name.  The  view  is  fil-­ Calculation1tered  on  name  and  Year.  The  name  filter  has  multiple  members  selected.  The  Year  filter  keeps  22  members.  Percents  are  based  on  each  col-­umn  of  the  table. The  trend  of  %  of  Total  Weight  for  Calculation1  broken  dow n  by  name.    Details  are  show n  f or  name.  The  data  is  filtered  on  Year,  w hich  keeps  22  members.  The  view on  name,  w hich  has  multiple  members  selected.  Percents  are  based  on  each  column  of  the  table.
  8. 8. Data analysis with Gephi, custom tools
  9. 9. MPI of Experimental Endocrinology MPI für Zellbiologie Max Planck Research Unit for Enzymology of Protei… MPI of Neurobiology MPI für Herz- und Lungenforschung MPI für Psychiatrie Friedrich Miescher Laboratory of the Max Planck S… MPI für Hirnforschung MPI für Virusforschung MPI of Biophysics MPI of Immunobiology MPI für Evolutionsbiologie MPI für Experimentelle Medizin Max-Planck-Arbeitsgruppen für strukturelle Moleku… MPI for Biological Cybernetics MPI für Informatik MPI of Molecular Cell Biology and Genetics MPI für Medizinische Forschung Heidelberg MPI for Developmental Biology International Max Planck Research School for Comp… MPI für molekulare Biomedizin MPI of Biochemistry MPI for Molecular Genetics Max Planck Inst. Evol. Anthropol MPI for Infection Biology MPI for Ornithology (Former: Max Planck Research … MPI for Biophysical Chemistry (Karl Friedrich Bon… MPI for Evolutionary Anthropology MPI for Dynamics of Complex Technical Systems MPI of Molecular Plant Physiology MPI for Psycholinguistics MPI für molekulare Physiologie MPI für Verhaltensphysiologie MPI für Züchtungsforschung MPI für Terrestrische Mikrobiologie MPI für Bioanorganische ChemieMPI for the History of Science MPI fur Kolloid Und Grenzflachenforschung Potsdam Max-Plack-Institut für Neurologische Forschung Kö… Max-Plack-Institut für demografische Forschung MPI für Kognitions- und Neurowissenschaften MPI für marine Mikrobiologie MPI for Polymer Research MPI für Bildungsforschung MPI für Dynamik Und Selbstorganisation Göttingen MPI für Kohlenforschung MPI MPIMetals Physics of Complex Systems for for the Research MPI fur Chemische Okologie MPI für Eisenforschung Max Planck Gesellschaft zur Förderung der Wissens… Fritz Haber Institute of the Max Planck Society MPI of Microstructure Physics MPI for Solid State Research Max-Planck Institut für Chemische Physik fester S… MPI für Limnologie MPI fur Neurologische Forschung Koln MPI for Mathematics in the Sciences MPI für Quantenoptik MPI fur Mathematik MPI für Kernphysik MPI für MPI für Plasmaphysik Physik (Werner-Heisenberg-Institut) MPI for Chemistry (Otto Hahn Institute) Biogeochemie Jena MPI für MPI für Gesellschaftsforschung MPI für extraterrestrische Physik MPI for Gravitational Physics (Albert Einstein In… Astronomie MPI für MPI für Sonnensystemforschung MPI für Ökonomik MPI for Meteorology MPI for Gravitational Physics (Hannover) (Albert … MPI für Astrophysik MPI für Radioastronomie MPI for Research On Collective Goods International Max Planck Research School on Earth… MPI for Terrestrial Microbiology Marburg
  10. 10. Layouts
  11. 11. Interaction tests
  12. 12. DIVIDE & CONQUE R FIND TH E SMALL DATAINSIDE T HE BIG DATA
  13. 13. well-formed.eigenfactorMoritz Stefaner & Eigenfactor Team, 2009 | http://well-formed.eigenfactor.org
  14. 14. Hierarchical Edge Bundling Danny Holten: Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data, IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5, September/October 2006 Danny Holten and Jarke J. van Wijk: Force-Directed Edge Bundling for Graph Visualization, Eurographics/ IEEE-VGTC Symposium on Visualization 2009, Volume 28 (2009), Number 3
  15. 15. GROUP A ND ORD ERROUTE T HOSE ED GES
  16. 16. LOOK M A, N O LINESPHYSICA L METAPH OR
  17. 17. OECD Better Life Index
  18. 18. Country score profile x User–defined weight profile1 Dimensions Score x Importance2 Dimensions Score Importance3 Dimensions Score Opacity: Importance…
  19. 19. Rank visualization Controls for weights Country visualization Country changes scores andvisualization Country country visualizations visualization Country visualization Country Country visualization visualization Country Share visualization Legend / help Country Country visualization visualization Score
  20. 20. Controls for weights Controls for weights generic in line with visualization
  21. 21. Design Iterations (excerpt)
  22. 22. http://vimeo.com/24609043
  23. 23. How often has each rating been assigned to each topic? Most popular topics: Education, Health, Life satisfaction 0 1 2 3 4 5 Little clicks, despite being the default Governance is quite 280 unpopular 159 75 70 Housing Income Jobs 57 Community Education Environment Governance Health Life Satisfaction Safety Work-Life Balance
  24. 24. emoto design teamMoritz StefanerStudio NANDDrew Hemment(Future Everything)A FutureEverything project with MIT Senseable City Lab for the Cultural Olympiad programmeand London 2012 Festival.Co-sponsored by GE and funded by Arts Council England and WE PLAY/Legacy Trust UK.Infrastructure design & development by Gerrit Kaiser.Citizen journalism by Andy MiahEvaluation and blogging by Ege Sezen.Project management by Leon Seth and Nick Lawrenson.Communications by Jo Williams, Anita Morris Associates.Emoto is produced by FutureEverything and Studio NAND. Emoto in London is produced by(or presented by) MIT Senseable Cities Lab and GE as part of Emoto (emoto2012.org).
  25. 25. :) Real time data visualization #goldmedal x #hockey Data journalism :(The games Social media Sentiment analysis, response classification Data sculpture
  26. 26. SAMPLE DATATaken from the Athletics World Championships 2011 Nationshttp://twitter.com/#!/jnadzam11/status/10838926220185600228/08/2010 by Josh Nadzam!"#$%&()*%*+,%-(..//0/*,.%(1%()2%*,&3%*+/.%4,&25%{Emotion}67%82&9:%&;<%=/,0<>>>%?@,A2,67{Nation} {Discipline} {Emotion} Eventshttp://twitter.com/#!/NevilleABC17/status/10792320908041420828/08/2010 by Neville Miller6.&/;%B(0*%1&0.,%.*&2*.%&;<%CDE.%/;%FGG3%1/;&0%/;%{Athlete->Nation} {Emotion} {Event}C&,H)%@(20<%I+&3-/(;.+/-.%(1%82&9:%J%=/,0<% {Discipline}!""#$%%&&&()*+,-*./0)1%2#0+"%3{Press article}
  27. 27. emoto2012.org https://vimeo.com/46615102
  28. 28. these are crap --> Phelps Phelps Phelps Phelps Phelps Bolt Hockey Soccereach triangle corresponds to a number of tweets with a specific sentiment (e.g score +7) for that topic, size and intensity indicate amount of tweets
  29. 29. HOCKEY HOCKEY HOCKEY HOCKEY HOCKEY HOCKEYA) shortest cathethus B) shortest cathethus B) shortest cathethus aligned to hypothenuse aligned to hypothenuse aligned to hypothenuse swapping position alternately swapping position alternately swapping position alternately mirroring alternately mirroring after 4th element
  30. 30. emoto installation https://vimeo.com/49679699
  31. 31. HOW CAN WEUSE FOODFOR DATA EXPRESSION?
  32. 32. WHAT ARE THECULINARY VARIABLESWE CAN WORK WITH?
  33. 33. Antti Nurkka Natalie Aubret Susanne Jaschko Miska Knapekfoodidea.fi pixelache.ac prozessagenten.org knapek.org
  34. 34. Nathalie Aubret & Melinda Sipos http://data-cuisine.net/data-dishes/lakmoussetikka/Lakmoussetikka
  35. 35. Essi Kärkkäinen http://data-cuisine.net/data-dishes/alcohol-consumption-map/Kippis!
  36. 36. Matt Zumwalt http://data-cuisine.net/data-dishes/age-language-in-lentils/Age & Language in Lentils
  37. 37. Jen Lowe http://data-cuisine.netHappiness Cocktail
  38. 38. Nathalie Aubret and Melinda Sipos http://data-cuisine.net/data-dishes/lettuce-de-lux/Lettuce de lux
  39. 39. Symeon Delikaris-Manias http://data-cuisine.net/data-dishes/spiced-foreigners-between-Spice foreigners between pasta
  40. 40. Dmitrii Rogozhin http://data-cuisine.net/data-dishes/criminal-herring-in-fur-coat/Criminal herring in fur coat
  41. 41. A FEW THINGSI LEARNED
  42. 42. LEARNING THROUGHPLAYFUL EXPLORATION
  43. 43. TELL ASTORY
  44. 44. TELL ATHOUSAND STORIES…BUT NOT ALL AT ONCE!
  45. 45. EVEN WHEN ALL YOU HAVE IS NUMBERSIT IS ALL ABOUTRELATIONS
  46. 46. USAAnnual health spending per person: $7920Average life expectancy at birth: 78 years
  47. 47. http://blogs.ngm.com/blog_central/2009/12/the-cost-of-care.html
  48. 48. Workflow CONTEXT & GOALS DATA CLARIFY EXPLORE & DEFINE & MAINTAIN & WHAT & WHY SKETCH PRODUCE ANALYZE REDEFINE LAUNCH High level constraints, Data analysis with Visual design User tracking and analysis goals and intuitions standard tools: Excel, Tableau, R Interaction design Updates, extensions Visual explorations based Implementation on real data Testing Functional prototypes
  49. 49. Feedback loops LET THE USERS CHANGE YOUR MIND SET CONTEXT & GOALS DATA CLARIFY EXPLORE & DEFINE & MAINTAIN & WHAT & WHY SKETCH PRODUCE ANALYZE “LET THE DATA SET LAUNCH CHANGE YOUR MIND SET” (ROSLING)
  50. 50. ON TRUTH & BEAUTY
  51. 51. "When Im working on a problem,I never think about beauty.I think only how to solve the problem.But when I have finished, if the solutionis not beautiful, I know it is wrong."R. Buckminster Fuller (1895-1983)
  52. 52. THANKS!Q?A!http://moritz.stefaner.eu@moritz_stefanerhttp://well-formed-data.nethttp://datastori.es
  53. 53. http://datastori.espodcasttogether withEnrico Bertini

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