Talks
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Deep Graph Learning for Science
Invited Talk at the Helmholtz AI Conference 2026: AI for Science, Munich, Germany, June 10, 2026 -
Using Temporal Graph Isomorphism to Understand the Expressivity of Temporal Graph Neural Networks
Talk at NetSci-X, Auckland, New Zealand, February 18, 2026 -
Enhancing Graph Neural Networks with Random Graph Ensembles
Talk at NetSci-X, Auckland, New Zealand, February 18, 2026 -
Using Temporal Collaboration Networks to Understand Activity Cascades in OSS Communities
Talk at NetSci-X, Auckland, New Zealand, February 18, 2026 -
A Gentle Introduction to (Temporal) Graph Neural Networks for Network Scientists
School Lecture at NetSci-X, Auckland, New Zealand, February 17, 2026 -
Using Temporal Graph Isomorphism to Understand the Expressivity of Temporal Graph Neural Networks
Invited Talk at Chair of Data Science in the Economic and Social Sciences, University of Mannheim, January 21, 2026
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Understanding the Expressivity of Causality-Aware Graph Neural Networks for Temporal Graphs
Invited Seminar Talk at Princeton University, New Jersey, USA, December 8, 2025
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Deep Learning for Temporal Graphs: On the Expressivity of Causality-Aware Graph Neural Networks
Invited Talk at Department of Computer Science and Information Engineering, National Cheng Kung University (NCKU), Tainan, Taiwan, November 28, 2025 -
Introduction to Graph Learning for Computational Humanities
Invited Talk at Workshop Trends aus der Informatik at Zentrum für Philologie und Digitalität (ZPD), Würzburg, Germany, November 12, 2025 -
Representation Learning on Complex Networks
Opponent Talk at KTH Stockholm, Stockholm, Sweden, November 7, 2025 -
Machine Learning for Complex Networks: From GNNs to Causality-Aware Graph Learning
Invited Talk at Integrated Science Lab (IceLab), Umeå University, Sweden, November 5, 2025 -
Causality-Aware Deep Learning for Complex Networks
Spotlight Talk at CAIDAS Scientific Opening Conference, Julius-Maximilians-Universität, Würzburg, Germany, October 29, 2025 -
Deep Learning for Temporal Graphs: On the Expressivity of Causality-Aware Graph Neural Networks
Invited Talk at Network Science Institute, Northeastern University, Boston, MA, USA, October 15, 2025
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Machine Learning for Complex Networks: From GNNs to Causality-Aware Graph Learning
Invited Talk at BIFOLD Colloquium, Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany, September 25, 202
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Temporal Graph Learning in Narrative Networks in Literature
Keynote at Workshop AI-based Methods for the Humanities, Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany, September 23, 2025 -
Machine Learning for Complex Networks: From GNNs to Causal Graph Learning
Invited Talk at Astronomy Seminar, University of Würzburg, Germany, July 3, 2025 -
Machine Learning für komplexe Netzwerke
Invited Talk at Forum KI und digitale Transformation, University of Würzburg, Germany, July 2, 2025 -
Directed Acyclic Graphs, Time and Causality in Networks
Invited Talk at NetSci Satellite DAGSHOP — A Workshop on directed acyclic graphs, Maastricht, The Netherlands, June 2, 2025 -
The Arrow of Time in Dynamic Graphs
Plenary Talk at Dagstuhl Seminar 25171: Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact, Schloss Dagstuhl, Germany, April 24, 2025 -
A Brief Intro to Machine Learning
Tutorial at Workshop CAIDAS meets UKW, Würzburg, Germany, March 17, 2025 -
Graph-based Data Science and Machine Learning - A Primer
Invited Lecture at Workshop Modeling Complex (Astro)Chemical Systems - Astrochemistry meets Data Science, Munich Institute for Astro-, Particle and BioPhysics, Origins Excellence Cluster, TU Munich, Germany, February 26, 2025 -
Towards Efficient and Robust Graph Learning - Bridging Statistical Inference and Deep Learning
Talk at COMFORT Kickoff-Meeting, University of Würzburg, Germany, February 6, 2025 -
Risks in the EU AI Act
Panelist Statement at 29th Europarechtstage at the Würzburg Residence, November 3, 2024 -
What makes teams successful? From Network Science to Causal Graph Learning
Talk at SG Symposium: The Complexity of Social and Economic Systems: From Models to Measures, ETH Zurich, Switzerland, October 31, 2024 -
How the Arrow of Time shapes the Causal Topology of Temporal Graphs
Invited Talk at Lernen. Wissen. Daten. Analysen (LWDA) 2024, Wuerzburg, Germany, September 24, 2024 -
Higher-Order Models of Causal Topologies in Temporal Networks - From Modelling to Deep Learning
Invited Keynote at Workshop on Mining and Learning Real-world Dynamics via High-order Networks (MLH), Satellite Workshop in conjunction with ECML-PKDD, Vilnius, Lithuania, September 13, 2024 -
PathpyG: GPU-accelerated Causality-aware Learning in Temporal Graphs
Invited Keynote at SDCS: Software and Data for Complex Systems, Satellite Workshop in conjunction with the Conference on Complex Systems (CSS) 2024, Exeter, UK, September 3, 2024 -
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
Invited Talk at TU Munich, Munich, Germany, June 28, 2024 -
The Arrow of Time in Networks: From Laplacian Dynamics to De Bruijn Graph Neural Networks
Invited Talk at Computer Science Colloquium, University of Bonn, Germany, May 23, 2024 -
Using Higher-Order De Bruijn Graphs to Learn Causality-Aware Representations of Temporal Graphs
Invited Talk at Dagstuhl Seminar 24122: Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications, Schloss Dagstuhl, Germany, March 21, 2024 -
The Map Equation Goes Neural
Talk at Focus Session: Machine Learning for Complex Socio-Economic Systems, Annual Meeting of the German Physical Society, Berlin, Germany, March 18, 2024 -
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
Invited Keynote at Temporal Graph Learning Workshop, NeurIPS 2023, New Orleans, LA, USA, December 16, 2023
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Causality-Aware Deep Learning for Time Series Data on Graphs
Talk at Research Seminar of Department of Informatics (IfI), University of Zurich, September 27, 2023 -
Higher-Order Models of Causal Topologies in Temporal Networks - From Modelling to Deep Learning
Invited Keynote at Dutch NetSci Summer Symposium, TU Delft, The Netherlands, August 30, 2023 -
How to get your paper rejected: An editor's perspective
Invited Keynote at NetPLACE Panels at NetSci 2023, Vienna, Austria, July 10, 2023 -
Mapping Complex Networks
Invited PhD Opponent Talk at Umeå University, Sweden, May 12, 2023 -
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
Invited Talk at Temporal Graph Reading Group, McGill University, Montréal, Canada, May 4, 2023
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Networks in Space and Time - Exploring the Physics in Graph Learning
Invited Talk at 86th Spring Meeting of the Condensed Matter Section of the German Physical Society (DPG), Dresden, Germany, March 30, 2023 -
De Bruijn Goes Neural: Towards Causality-Aware Graph Neural Networks for Time Series Data
Invited Talk at University of Mannheim, Germany, March 28, 2023 -
Networks in Space and Time - Exploring the Physics in Graph Learning
Invited Lecture at Akademische Feier der Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, December 12, 2022 -
From Networks to Optimal Higher-Order Models of Complex Systems
Invited Keynote at ICDM 2022 Workshop on Machine Learning on Higher-Order Structured Data, Orlando, USA, November 28, 2022 -
Using Big Data and Network Science to Understand Productivity in Software Teams
Talk at Campus Oerlikon, Zurich, Switzerland, November 24, 2022 -
De Bruijn Goes Neural: Towards Causality-Aware Graph Neural Networks for Time Series Data
Invited Talk at ETH Symposium, Zurich, Switzerland, November 24, 2022 -
[Photo]graphing Middle-Earth: A Visual Exploration of Tolkien's Legendarium
Invited Talk at Meeting of Tolkiengesellschaft, Zurich, Switzerland, November 22, 2022 -
From Aristotle to Ringelmann: Using Big Data and Network Science to Understand Productivity in Software Teams
Invited Talk at Inetum User Conference, Zurich, Switzerland, November 1, 2022 -
Data Science und Sozialwissenschaften: Eine Geschichte voller Missverständnisse
Invited Talk at University of Mannheim, Germany, October 13, 2022 -
Introduction to Network Science
Lecture at Ghent Summer of DANS 2022, Ghent, Belgium, September 20, 2022 -
Temporal Networks and Higher-Order Models of Causal Topologies
Invited Talk at NetDat international seminar and workshop, Dresden, Germany, September 12/13, 2022 -
From Networks to Optimal Higher-Order Models of Complex Systems
Invited Talk at CCTB Seminar, Centre for Computational and Theoretical Biology, University of Würzburg, Germany, July 27, 2022 -
From Networks to Optimal Higher-Order Models of Complex Systems
Lecture at Summer School on Mathematics of Complex Social Systems, Berlin Mathematics Research Center Math+, Germany, June 13, 2022 -
From networks to optimal models of complex systems
Invited Talk at National Center for Scientific Research "Demokritos", Athens, Greece, February 23, 2022 -
Introduction to Supervised and Unsupervised Learning
Invited Talk at Second Zurich Machine Intelligence in Clinical Neuroscience Symposium, Zürich, Switzerland, January 20, 2022
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What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering
Invited Talk at AI Talks @ JMU Series, Julius-Maximilians-Universität Würzburg, Germany, January 14, 2022
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What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering
Invited Keynote at Institute for AI in Management, Ludwig-Maximilians-Universität München, München, November 18, 2021
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From networks to optimal models of complex systems
Invited Talk at Computational Social Science Seminar, ETH Zürich, Switzerland, November 16, 2021
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Optimal Models of Causal Topologies in Temporal Networks
Keynote at 4th International Workshop on Self-Organised Construction (SOCO), Washington, D.C., USA, October 1, 2021
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Higher-Order Network Science: From Theoretical Foundations to Machine Learning
Opening Talk at Dagstuhl Seminar 21352, Dagstuhl, Germany, August 29, 2021
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Combining Collective and Artificial Intelligence in Human-AI Cyber-Organizations (online talk)
Talk for VolkswagenStiftung, Wolfsburg, Germany, July 29, 2021
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Higher-Order Network Science: From Theoretical Foundations to Machine Learning (online talk)
Keynote at HONS 2021, Washington D.C., USA, July 2, 2021
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Next Generation Network Analytics for Time Series Data (online talk)
Talk at Julius-Maximilians-Universität Würzburg, Germany, January 14, 2021
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Next Generation Network Analytics for Time Series Data (online talk)
Talk at University of Mannheim, Mannheim, Germany, November 9, 2020
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Data Science in den Sozialwissenschaften: Eine Geschichte voller Missverständnisse (online talk)
Keynote at biannual Conference of the Gesellschaft für Fachdidaktik (GFD), Regensburg, Germany (online), September 23, 2020
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Next Generation Network Analytics for Time Series Data (online talk)
Talk at University of Tübingen, Tübingen, Germany, September 15, 2020
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Introduction to Network Science(canceled due to CoViD-19)
Lecture at Ghent Summer School, DANS 2020, Ghent, Belgium, September 15, 2020
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Next Generation Network Analytics for Time Series Data
Talk at University of Koblenz-Landau, Koblenz, Germany, September 11, 2020
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Temporal Networks and Higher-Order Models (online lecture)
Lecture at 5th International Summer School on Data Science (SSDS 2020), Split, Croatia (online), September 8, 2020
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Networks in Space and Time
Interdisciplinary Symposium on Resilience and Performance of Networked Systems, ETH Zurich, January 16, 2020
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Networks in Space and Time
Talk at IMACM Colloquium, University of Wuppertal, Germany, October 22, 2019
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Networks in Space and Time
Inaugural Lecture, University of Zurich, September 16, 2019
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Higher-Order Network Analytics for Time-Stamped Data on Social Interactions
Tutorial at EuroCSS 2019, ETH Zürich, September 2, 2019
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What makes teams successful? A Data Science Perspective
Invited Talk at advAIsor AG, Zurich, July 12, 2019
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pathpy: From Past to Future
Opening Talk at the first pathpy user meeting, ETH Zurich, June 17, 2019
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Data, Networks, Social Science
Opening Talk at Symposium Computational Social Science - Quo Vadis?, University of Zurich, April 26, 2019
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Demystifying Machine Learning
Invited Talk at Klinik für Neurochirurgie, University Hospital of Zürich, April 25, 2019
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Data Analytics in Social Organizations
Invited Talk at Behavioral Studies Colloquium, ETH Zurich, April 16, 2019
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Data Analytics in Social Organizations: Lessons from Software Engineering and Scientometrics
Invited Talk at Brownbag Lunch of Digital Society Initiative, University of Zurich, March 21, 2019
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Next Generation Network Analytics for Time Series Data
Talk at Department of Computer Science, University of Zurich, March 8, 2019
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Optimal Network Models for Time Series Data
Invited Talk at CRiSM Seminar Series, Department of Statistics, University of Warwick, UK, February 14, 2019
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Learning [with] Graphs
Internal Research Pitch, University of Zurich, February 11, 2019
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What makes teams successful? A Data Science Perspective
Talk at UZH Executive MBA Information Event, Zürich, November 6, 2018
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Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
Invited Talk at IBM Research, Rueschlikon, Switzerland, October 11, 2018
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Understanding Complex Systems: From Networks to Optimal Higher-Order Models
Invited Talk at Complexity Science Hub Vienna, Austria, September 5, 2018
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Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
Hands-on Tutorial at 2018 ACM SIGKDD Conference on Kowledge Discovery and Data Mining, London, UK, August 19, 2018
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Learning Optimal Models of Causal Topologies in Temporal Network Data
Invited Talk at Max-Planck-Institute for Ornithology, University of Konstanz, Germany, July 10, 2018
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Next Generation Network Analytics for Time Series Data
Talk at University of Stuttgart, Germany, July 5, 2018
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Entropy-based detection of inherent time scales in temporal networks
Talk at NetSci 2018, Paris, France, June 15, 2018
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Learning optimal models of causal topologies in temporal data streams
Talk at Symposium on Machine Learning in Network Science, Paris, France, June 12, 2018
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When networks are not enough: Inference of optimal higher-order models of complex systems
Talk at Symposium on Statistical Inference for Network Models, Paris, France, June 11, 2018
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Next-Generation Network Analytics for Time Series Data
Talk at Faculty of Mathematics and Natural Sciences, Bergische Universität Wuppertal, Germany, June 4, 2018
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Data Analytics in Social Organizations: Lessons from Software Engineering and Scientometrics
Invited Talk at Computation and Society Workshop, EPFL Lausanne, Switzerland, May 22, 2018
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Next-Generation Network Analytics for Time Series Data
Talk at Department of Informatics, University of Fribourg, Fribourg, Switzerland, April 24, 2018
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Learning Optimal Models of Causal Topologies in Temporal Data Streams
Invited Talk at Symposium on Networks, Time and Causality, ETH Zurich, Zurich, Switzerland, April 13, 2018
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Next-Generation Network Analytics for Time Series Data
Talk at Faculty of Mathematics and Computer Science, Philipps-Universität Marburg, Marburg, Germany, April 12, 2018
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Understanding Social Systems: From Sociophysics to Computational Social Science
Talk at Spring meeting of the German Physical Society, Berlin, Germany, March 15, 2018
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When is a network a network? Multi-order graphical model selection in time series data on networks
Talk at Spring meeting of the German Physical Society, Berlin, Germany, March 14, 2018
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Data Science in den Sozialwissenschaften
Talk at Workshop of GI Data Science Task Force, Berlin, Germany, January 30, 2018
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Modelling Social Networks
Invited Talk at Workshop on Ethics in Complex Systems, Potsdam, Germany, January 29, 2018
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Next Generation Network Analytics for Time Series Data
SNSF Interview Talk, Bern, Switzerland, January 11, 2018
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Mining Social Organizations - A Network Perspective!?!
Invited Lecture at Computational Social Science Seminar, ETH Zürich, Zürich, Switzerland, November 20, 2017
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Optimal Models of Complex Systems: From Networks to Multi-order Models
Invited Talk at Network Science Institute, Northeastern University, Boston, MA, USA, November 7, 2017
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Optimal Models of Complex Systems: From Networks to Multi-order Models
Talk at Research Unit in Engineering Sciences, University of Luxembourg, October 26, 2017
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Optimal Models of Complex Systems: From Networks to Multi-order Models
Talk at Icelab, Umeå University, Umea, Sweden, October 19, 2017
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From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles
Spotlight Talk at 13th International Workshop on Machine Learning in Graphs (MLG 2017), Halifax, Nova Scotia, Canada, August 13, 2017
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When is your network a network? Statistical Inference in Multi-Order Network Models of Pathway Data
Talk at NetSci 2017, Indianapolis, IN, USA, June 22, 2017
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Multi-Order Graphical Models: A Unified Perspective on Pathways and Temporal Networks
Talk at HONS 2017, Indianapolis, IN, USA, June 20, 2017
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Learning from Relational Data: Beyond Maximum Entropy Models
Invited Panel Talk at the 10th workshop on Dynamics on and of Complex Networks, Indianapolis, IN, USA, June 19, 2017
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Controllability of Temporal Networks: An Analysis using Higher-order Networks
Invited Talk at Symposium of Controlling Complex Systems, Indianapolis, IN, USA, June 19, 2017
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Data Science in Software Engineering
Talk at genua GmbH, Kirchheim bei München, Germany, May 17, 2017
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Network Analytics for Complex Data
Talk at Institute for Informatics, University of Zurich, Switzerland, April 5, 2017
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From Big to Complex Data: Pushing the Limits of Graph Mining and Network Analysis
Talk at Institute for Machine Learning, ETH Zürich, Switzerland, December 19, 2016
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A Quantitative Study of the Ringelmann Effect in Software Development Teams
Plenary Talk at 2nd CSS Winter Symposium, Cologne, Germany, December 1, 2016
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Mining Time-stamped Network Data
Invited Talk at LIP6, Université Pierre et Marie Curie, Paris, France, October 19, 2016
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Computational Social Science
Invited Lightning Talk at Symposium of topical section "Informatik und Gesellschaft", Informatik 2016, Klagenfurt, Austria, September 26, 2016
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Knowledge Discovery in Complex Relational Data
Talk at Oberseminar at AIFB, Karlsruhe Institute of Technology, Germany, June 7, 2016
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From Aristotle to Ringelmann: A large-scale analysis of productivity and coordination in Open Source Software projects
Invited Talk at International Conference on Software Engineering (ICSE 2016), Austin, TX, USA, May 18, 2016
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When Network Science meets Software Engineering
Invited guest lecture at Elite Graduate Program in Software Engineering, Augsburg University, Germany, April 20, 2016
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Knowledge Discovery in Complex Relational Data
Berufungsvortrag at Department of Computer Science, Paderborn University, Germany, February 25, 2016
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From Aristotle to Ringelmann: A large-scale analysis of productivity and coordination in Open Source Software projects
Talk at Software Engineering 2016 (SE), TU Wien, Austria, February 24, 2016
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Mining high-frequency data on temporal networks
Invited Lecture at Workshop on Complex Network Mining and Analysis, Wroclaw University of Technology, Poland, January 9, 2016
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PhD Course: Modeling and Analysis of Complex Networks
Invited Series of 9 Lectures at Singapore-ETH Centre (SEC), CREATE Campus, Singapore, December 7-11, 2015
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Mining Time-Stamped Network Data: Spectral Methods and Centrality Measures
Invited Talk at workshop Application of network theory on computational social science, GESIS Winter Symposium, Cologne, Germany, December 1, 2015
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Mining Social Organizations: A Network Perspective
Invited Talk at Leibniz Institute for the Social Sciences (GESIS), Cologne, Germany, November 30, 2015
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Understanding Social Organizations
Talk at Dagstuhl Seminar Social Concepts in Self-organising Systems, Dagstuhl, Germany, November 26, 2015
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Analysis of Non-Markovian Temporal Networks: Spectral Methods and Centrality Measures
Seminar Talk at Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, November 25, 2015
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Mining Social Organizations: A Network Perspective
Invited Talk at Symposium on computational social science, ETH Zürich, Zürich, Switzerland, November 6, 2015
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Understanding Complex Systems: When Big Data meets Network Science
Invited Talk at Workshop on Self-adaptive and self-organising socio-technical systems held at IEEE SASO 2015, MIT, Cambridge, MA, USA, September 25, 2015
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Spectral Methods in the Analysis of Non-Markovian Temporal Networks
Invited Talk at Harvard Medical School, Prof. Dr. Yang-Yu Liu, Boston, MA, USA, September 25, 2015
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Analysis of Non-Markovian Temporal Networks: Spectral Methods and Centrality Measures
Invited Talk at Network Science Institute, Northeastern University, Boston, MA, USA, September 24, 2015
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Analysis of Non-Markovian Temporal Networks
Talk at interdisciplinary workshop Recognizing the Relevance of Change: Analysis and Control of Time-evolving Networks in Epidemiology and Evolutionary Medicine, Freie Universität Berlin, Germany, July 20-22, 2015
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Spectral Methods in the Analysis of Non-Markovian Temporal Networks
Talk at NetSci, Zaragoza, Spain, June 4, 2015
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Analyzing time-stamped network data: When ordering matters
Talk at NetSci satellite Higher-Order Models in Network Science, Zaragoza, Spain, June 2, 2015
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Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach
Talk at GI Conference on Software Engineering and Management, Dresden, Germany, March 17-20, 2015
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The Social Dimension of Citations
Invited Talk at COST Workshop Quantifying scientific impact: networks, measures, insights?, Zurich, Switzerland, February 12-13, 2015
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Aggregate Networks Considered Harmful: Towards Higher-Order Models of Time-Varying Networks
Talk at Second Annual KnowEscape Conference, Thessaloniki, Greece, November 26, 2014
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Modeling Time-Varying Complex Networks: The Importance of Non-Markovianity
Invited Talk at Zürich Seminar on Applied Statistics, Zürich, Switzerland, October 23, 2014
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The Social Dimension of Information Ranking
Talk at Big Data und Gesellschaft: interdisziplinäre Analysen, Stuttgart, Germany, September 22, 2014
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Big Data and Socio-Technical Systems
Invited Keynote at SASO^ST 2014, London, United Kingdom, September 12, 2014
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Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization
Tutorial Lectures at IEEE SASO 2014, London, United Kingdom, September 8, 2014
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Diffusion in Non-Markovian Temporal Networks: Slow-Down or Speed-Up?
Ignite Talk at NetSci 2014, Berkeley, CA, USA, June 6, 2014
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Higher-Order Aggregate Representations of Temporal Networks
Talk at NetSci satellite Higher-Order Models in Network Science, Berkeley, CA, USA, June 3, 2014
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Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization
Invited Lecture Series at iSocial Summer School, Stockholm, Sweden, June 1, 2014
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Automated Software Re-modularization Based on Move Refactoring: A Complex Systems Approach
Contributed Talk at 13th International Conference on Modularity 2014, Lugano, Switzerland, April 23, 2014
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When your social position predicts your success: lessons from Open Source communities and citations
Contributed Talk at Lorentz Centre Workshop Simulating the Social Processes of Science, Leiden, The Netherlands, April 9, 2014
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Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
Talk at Software Engineering (SE 2014), Kiel, Germany, February 27 2014
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Challenges and Research Directions for Self-optimisation, Organic and Autonomic Computing
Statement at 2nd International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS 2014), Lübeck, Germany, February 25, 2014
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The Social Dimension of Collaborative Information Spaces
Talk at First Annual KNOWeSCAPE Conference, Aalto University, Espoo, Finland, November 18-20, 2013
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Force-based Layout of Non-Markovian Temporal Networks
Talk at European Conference on Complex Systems (ECCS), Barcelona, Spain, September 20, 2013
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Predicting success based on social network analysis
Invited Talk at ECCS satellite workshop Quantifying Success, Barcelona, Spain, September 18, 2013
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The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches
Talk at Workshop Sozioinformatik 2013, Koblenz, Germany, September 16, 2013
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Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization
3 x tutorial lectures at IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2013), Philadelphia, PA, USA, September 13, 2013, [Tutorial material]
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Self-Adaptation and Self-Organization in Socio-Technical Systems: A Tale of Two Layers
Invited Panel Talk at IEEE SASO 2013, Philadelphia, PA, USA, September 12, 2013
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Topological and Temporal Complexity in Socio-Technical Systems
Talk at Workshop on Self-Adaptation and Self-Organization in Socio-Technical Systems (SASO^ST 2013), Philadelphia, PA, USA, September 9, 2013
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Topological and Temporal Complexity in Socio-Technical Systems
Invited Talk at University of Nebraska at Omaha, NE, USA, September 5, 2013
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Topological and Temporal Complexity in Socio-Technical Systems
Invited Talk at Google Zurich Lab, Zurich, Switzerland, August 26, 2013
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Modeling and Analysis of Complex Dynamic Networks: Why Should Computer Scientists Care?
Invited Talk at Computer Science Colloquium, Augsburg University, Germany, July 18, 2013
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The Paths Not Taken: Aggregate Networks Considered Harmful!
Ignite Talk at NetSci 2013, København, Denmark, June 7, 2013
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Social Dynamics in Open Source Communities: Research Methods, Applications and Perspectives
Talk at NetSci satellite workshop Social Dynamics, København, Denmark, June 4, 2013
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Modeling and Analysis of Complex Dynamic Networks: Why Should Computer Scientists Care?
Invited Talk at NetSci satellite workshop Dynamic Information and Communication Networks, København, Denmark, June 3, 2013
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Structure and Dynamics of Collaborative Software Engineering: A Complex Networks Perspective
Invited Talk at IBM Switzerland, Zürich, Switzerland, April 11, 2013
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Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
Invited Talk at Monte Verita Symposium Augmenting Software Developer Support to Improve Productivity, Monte Verita, Ascona, Switzerland, March 10-15, 2013
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Vom Programmierer zum Team, vom Team zur Community - Perspektiven des Social Software Engineering
Invited Talk at DATEV TrendScout Workshop, Nürnberg, Germany, November 27, 2012
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A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks
11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012), Liverpool, UK, June 25 - 27, 2012
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Designing adaptive distributed systems: A complex networks perspective
Invited talk at research seminar of Prof. Dr. Vincent D. Blondel, Catholic University of Louvain-La-Neuve, Belgium, April 20, 2012
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Statistical Mechanics of Networks: Applications in Future Information Systems
Invited Lecture Series at Summer School "Modeling and Analysis of Novel Mechanisms in Future Internet Applications", University of Wuerzburg, Germany, March 27 - April 3, 2012
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Organic Distributed Systems: A Complex Networks Perspective
First International Workshop on Complex Sciences in the Engineering of Computing Systems (CSECS), held at ARCS 2012, Munich, Germany, February 28, 2012
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Modeling of Emerging Internet Servíces: Social Networks and Crowdsourcing
Invited Talk at EuroView 2011, University of Würzburg, Germany, August 1, 2011
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Harnessing Complex Structures and Collective Dynamics in Large Networked Computing Systems
Disputation lecture, University of Trier, Germany, May 27, 2011
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Physics-inspired Self-Organization and Adaptation in Large Dynamic Overlay Networks
Invited Talk at Dagstuhl Seminar 11181 "Organic Computing - Design of Self-Organizing Systems", Schloss Dagstuhl, Germany, May 11, 2011
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Menschen, Rechner und Atome - Über die Soziophysik verteilter Systeme
Invited Talk at Colloquium of the Institute of Computer Science, Group of Prof. Dr. Phuoc Tran-Gia, Würzburg, Germany, February 22, 2011
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Total vernetzt - Über die Beherrschbarkeit großer verteilter Rechnersysteme
Invited Talk at Colloquium of the Multimedia Communications Lab, Group of Prof. Dr. Ralf Steinmetz, Darmstadt, Germany, February 9, 2011
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Social Web APIs - Die Durchdringung des WWW
Talk at DATEV TrendScout Workshop, Nürnberg, Germany, December 2, 2010
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Distributed Creation and Adaptation of Random Scale-Free Overlay Topologies
Talk at IEEE Conference on Self-Organizing and Self-Adaptive Systems (SASO), Budapest, Hungary, September 27 - October 1, 2010
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Ordnung im Chaos - Über die statistische Physik vernetzter Rechnersysteme
DATEV TrendScout Workshop, Nürnberg, Germany, July 27, 2010
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Moore, Amdahl und Gustafson - ManyCores - Hardware- und Softwaretrends
DATEV TrendScout Workshop, Nürnberg, Germany, November 19, 2009
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Die Zukunft von Microsoft .NET
DATEV TrendScout Workshop, Nürnberg, Germany, November 19, 2009
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Breathing Life into Networks
NetSci 2009, Venice, Italy, July 3, 2009
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Harnessing Complexity in Large-Scale Distributed Systems
Invited Talk at Colloquium of the Department of Biological Physics, Group of Prof. Dr. Tamas Vicsek, Budapest, Hungary, April 16, 2009
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Harnessing Complexity in Large-Scale Distributed Systems
Invited talk at Colloquium of the Computer Networks Group of Prof. Dr. Holger Karl, University of Paderborn, Germany, April 8, 2009
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HyperVerse: Simulation and Testbed Reconciled
Second International Workshop on Massively Multiuser Virtual Environments (MMVE2009) at IEEE Virtual Reality 2009, LaFayette, Louisiana, USA, March 15, 2009
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Epidemic Self-Synchronization in Complex Networks
First International Conference on Complex Sciences (Complex 2009), Shanghai, China, February 23-25, 2009
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Rich Internet Applications
DATEV TrendScout Workshop, Nürnberg, Germany, December 2, 2008
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Self-Organization Aspects in the HyperVerse Project
Invited Talk at EECS Seminar Series, Group of Prof. Dr. Dan Marinescu, University of Central Florida, Orlando, FL, USA, November 17, 2008
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Minimizing Load Delays in Distributed Virtual Environments Using Epidemic Hoarding
Talk at 4th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom’08), Orlando, FL, USA, November 13 - 16, 2008
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Awareness-Driven Phase Transitions in Very Large Scale Distributed Systems
Talk at 2nd IEEE International Conferences on Self-Adaptive and Self-Organizing Systems (SaSo), Venice, Italy, October 20 - 24, 2008
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Dualcore, Quadcore, Octcore ...
DATEV TrendScout Workshop, Nürnberg, Germany, July 24, 2008
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TopGen - Internet Router-Level Topology Generation Based on Technology Constraints
Talk at 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems (SimuTools’08), Marseille, France, March 3 - 7, 2008
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Trends in Virtualization
DATEV TrendScout Workshop, Nürnberg, Germany, October 30, 2007
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SOA in the Small
Invited Talk at McKinsey Workshop, Berlin, Germany, September 5, 2007
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Interface-based Web Service Syndication and its Application to a Collaborative Weblog Search Service
Talk at 2nd International Conference on Collaborative Computing (CollaborateCom’06), Atlanta, Georgia, USA, November 17 - 20, 2006
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Web Federates - Towards A Middleware for Highly Scalable Peer-To-Peer Services
Talk at 2nd International Conference on Web Information Systems and Technologies (WEBIST), Setubal, Portugal, April 11-13, 2006