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Komplexität und die neue Aufklärung

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Elisabeth-Herz-Kremenak-Saal
Plenary / Panel
in englischer Sprache

Die Menschheit wird immer vernetzter und es wird immer schwieriger, unseren Planeten für uns Menschen lebenswert zu erhalten. Immer höhere Komplexität schafft riesige Potenziale, aber ebenso große Bedrohungen. Bedeutet dies, dass wir in ein neues Zeitalter der selbstverursachten Unmündigkeit eintreten? In diesem Panel wird diskutiert, ob die Wissenschaft neue Strategien anbieten kann, um diesen Gefahren zu entkommen, und wie sie zur „Neuen Aufklärung“ beitragen kann.

Vortragende

Robert Gray Dodge Professor of Network Science; Distinguished Professor and Director, Center for Complex Network Research, Northeastern University, Boston, MA Abstract
Systems as diverse as the World Wide Web, Internet or the cell are described by highly interconnected networks with amazingly complex topology. Recent studies indicate that these networks are the result of self-organizing processes governed by simple but generic laws, resulting in architectural features that make them much more similar to each other than one would have expected by chance. I will discuss the order characterizing our interconnected world and its implications to network robustness, and control. Indeed, while control theory offers mathematical tools to steer engineered and natural systems towards a desired state, we lack a framework to control complex self-organized systems. I will discuss a recently developed analytical framework to study the controllability of an arbitrary complex directed network, identifying the set of driver nodes whose time-dependent control can guide the system's dynamics.
Professor of Computational Social Science, Department of Humanities, Social and Political Sciences, ETH - Swiss Federal Institute of Technology in Zurich
Assistant Professor, Center for Network Science, Central European University, Budapest Abstract
Performance, representing the objectively measurable achievements in a certain domain of activity, like the publication record of a scientist or the winning record of an athlete, captures the actions of an individual entity. In contrast, success, captured by impact or visibility, is a collective measure, representing a community's reaction and acceptance of an individual entity's performance. We are often driven by the belief that the detection of extraordinary performance is sufficient to predict exceptional success. However, the link between these two measures, while often taken for granted, is actually far from being understood. Indeed, even experts of performance assessment are notoriously bad at predicting long-term success. Nevertheless, differently from performance, success is quantifiable and predictable: given its collective nature, its signatures can be uncovered from the many pieces of data around us using the tools of network and data science.
In this talk I will focus on success in science as a way to testing our ability to measure and predict success. I will discuss the role of luck in achieving success, and will address the relation between performance and success in a variety of settings, highlighting the challenges of gauging performance through success.
Professor and Head, Section for Science of Complex Systems, Medical University of Vienna; President, Complexity Science Hub Vienna Chair

Dr. Dr. h.c. Dirk HELBING

Professor of Computational Social Science, Department of Humanities, Social and Political Sciences, ETH - Swiss Federal Institute of Technology in Zurich

1986 B.Sc. First diploma, Physics, Georg-August University Göttingen
1990 M.Sc Diploma, Physics, Georg-August University Göttingen
1992 Ph.D. Physics, Collective University of Stuttgart, Germany
1996 Habilitation, Theoretical Physics, University of Stuttgart, Germany
1997 Assistant Professor, University of Stuttgart, Germany
1997 Visiting Scientist Weizmann Institute of Science, Israel
1998 Consultant, Xerox Palo Alto Research Center
1998 Visiting Scientist Eötvös University, Hungary
1999 Visiting Scientist Tel Aviv University, Israel
2000 Senior Fellow, Collegium Budapest, Hungary
2000 Full Professor, Dresden University of Technology
2004 Visiting Scientist, INRETS, Paris
since 2007 Full (Ordinary) Professor, ETH Zurich, Switzerland
2010 Visiting Scientist Harvard University
2010 Visiting Scientist University of Oxford
2015 Affiliate Professor, TU Delft

Ph.D. Roberta SINATRA

Assistant Professor, Center for Network Science, Central European University, Budapest

2002-2005 Laurea Triennale (Bachelor equivalent) in Physics and Mathematics (summa cum laude), University of Catania
2002-2005 Diploma di Licenza Triennale per l Eccellenza in Physics (summa cum laude), Scuola Superiore di Catania
2005-2007 Laurea Specialistica (Master equivalent) in Theoretical Physics (summa cum laude), University of Catania
2005-2008 Diploma di Licenza Specialistica per l Eccellenza in Physics (summa cum laude), Scuola Superiore di Catania
2008-2012 Ph.D. in Physics (summa cum laude), University of Catania
2008-2012 PhD Student with fellowship (dottorato di ricerca con borsa), Physics Department, University of Catania
2012-2014 JSMF Postdoctoral Research Fellow at the Center for Complex Network Research and Physics Department, Northeastern University
2015-2016 Research Assistant Professor at the Center for Complex Network Research and Physics Department, Northeastern University
2014-2015 Visiting Research Scholar, Dana Farber Cancer Institute, Harvard Medical School
since 2016 Assistant Professor at the Center for Network Science and Mathematics Department, Central European University, Hungary
since 2016 Visiting Research Assistant Professor at the Center for Complex Network Research, Northeastern University

Mag. DDr. Stefan THURNER

Professor and Head, Section for Science of Complex Systems, Medical University of Vienna; President, Complexity Science Hub Vienna

1993 Magister rer.nat. (MS in Theoretical Physics), University of Vienna (honors)
1995 Dr.techn. (PhD in Theoretical Physics), Vienna University of Technology (honors)
1995, 1996 Guest Researcher, Columbia University, New York
1996 Postdoctoral Position, Humboldt University, Berlin
1996-1997 Research Associate, Boston University, Boston
1998-1999 Postdoctoral Position, Vienna University of Technology, Vienna
1999-2001 Tenure track position (Universitätsassistent), University of Vienna
2001 Dr.rer.soc.oec. (PhD in Financial Economics), University of Vienna (honors)
2001 Habilitation (Theoretical Physics), Vienna University of Technology
2001-2004 Associate Professor (a.o. Universitätsprofessor, tenure), University of Vienna
2004-2009 Associate Professor, Medical University Vienna
2007 Fellow, Collegium Budapest
since 2007 External Professor, Santa Fe Institute
since 2009 Full Professor for Science of Complex Systems, Medical University Vienna
since 2010 Senior Researcher, IIASA, Laxenburg
since 2015 Visiting Professor Nanyang Technologica University, Singapur
since 2015 President of the Complexity Science Hub Vienna
2017 Visiting Fellow, Magdalen College, Oxford

Technologiegespräche

Timetable einblenden

25.08.2016

13:00 - 13:10EröffnungPlenary
13:10 - 14:15FTI-TalkPlenary
14:30 - 14:50Von Österreich ins Silicon Valley - Cyber-Sicherheit als globaler FaktorPlenary
14:50 - 16:10Kybernetik in modernen Energie- und ProduktionssystemenPlenary
16:30 - 17:45Komplexität und die neue AufklärungPlenary
20:00 - 20:15Best of Art and ScienceCulture
20:15 - 21:15Tickets to Berlin: Falling Walls Lab Austria and Alpbach Summer School on EntrepreneurshipPlenary
21:30 - 23:30AbendempfangSocial
21:30 - 23:00KarriereloungeSocial

26.08.2016

09:00 - 10:30Digitale MedizinPlenary
09:00 - 18:00Junior Alpbach - Wissenschaft und Technologie für junge MenschenBreakout
09:00 - 15:00Ö1 Kinderuni Alpbach - Wissenschaft und Technologie für KinderBreakout
10:30 - 12:30Cross-sektorale Kooperationen von ClusternPartner
11:00 - 12:30Personalisierte KrebsmedizinPlenary
12:30 - 13:00Imbiss für die TeilnehmerInnen der Breakout SessionsSocial
13:00 - 18:00Breakout Session 01: Innovation by Making: Paradigmenwechsel und neue InnovationskulturenBreakout
13:00 - 18:00Breakout Session 02: Silicon Austria: Ein Game-Changer für den österreichischen Hochtechnologiestandort?Breakout
13:00 - 18:00Breakout Session 03: Zukunft erfinden: Innovationsprozesse neu gestaltenBreakout
13:00 - 18:00Breakout Session 04: Der Zyklus der Innovation und seine ÖkologieBreakout
13:00 - 18:00Breakout Session 05: Zukunftstechnologie LeichtbauBreakout
13:00 - 18:00Breakout Session 06: Der Blick ins Ungewisse und die Verschiebung des HorizontsBreakout
13:00 - 18:00Breakout Session 07: Radikale Innovationen: Mehr Mut zum RisikoBreakout
13:00 - 18:00Breakout Session 08: Technologierezeption von neuen Bildungswerbenden - ein Plädoyer für transkulturelle Kompetenz als neue AufklärungBreakout
13:00 - 18:00Breakout Session 09: Cyber Security: Ein GrundrechtBreakout
13:00 - 18:00Breakout Session 10: Open Access & Open Innovation als Instrumente einer neuen Aufklärung?Breakout
13:00 - 18:00Breakout Session 11: Robotik - Realitäten und ZukunftsperspektivenBreakout
13:00 - 18:00Breakout Session 12: Energiewende - die Macht der KonsumentenBreakout
13:00 - 18:00Breakout Session 13: Standortfaktor VersorgungssicherheitBreakout
19:00 - 20:30Innovations-Marathon: Ideen auf Bestellung - 24 Stunden nonstopPlenary

27.08.2016

09:00 - 10:30Art Meets Science and Technology - Wege einer neuen AufklärungPlenary
10:45 - 11:45Open Innovation: Neue Aufklärung? Partizipation - Demokratisierung - neue LösungenPlenary
12:15 - 13:30Die ETH Zürich zu Gast bei den TechnologiegesprächenPlenary
13:30 - 14:00Imbiss zum Abschluss der VeranstaltungSocial