Prof. Dr. Ingo Scholtes

• since 08/2021: Chair of Machine Learning for Complex Networks (W3) at Julius-Maximilians-Universität Würzburg
• 07/2019 - 08/2021: Chair of Data Analytics (W3) at Bergische Universität Wuppertal
• since 08/2018: SNF Professor for Data Analytics at University of Zurich, Switzerland
• 04/2016 - 08/2016: Temporary Professor (Vertretungsprofessor) for Applied Informatics at Karlsruher Institut für Technologie (KIT)
• 09/2011 - 07/2018: Postdoc and Lecturer at Chair of Systems Design, ETH Zürich, Switzerland
• 07/2011: Visiting Researcher at Eötvös-Lorand University Budapest, Hungary
• 2011: Dr. rer. nat. (summa cum lauda) in Computer Science from University of Trier
• 2004: Summer student in ATLAS Trigger and Data Acquisition Group, CERN
• 2005: Diploma in Computer Science (Minor in Mathematics) at University of Trier

Workshops, Symposium & Conference Organization

• Co-Organizer of CAIDAS Workshop Data Analysis for the Digital Humanities, February 6 - 8 2023, Würzburg, Germany
• Organizer of LoG Local Meetup Würzburg, December 21 2022, Würzburg, Germany
• Co-Organizer of Dagstuhl seminar Higher-Order Graph Models: From Theoretical Foundations to Machine Learning, August 29 - September 1st 2021, Dagstuhl, Germany
• Co-Chair of Workshop on Higher-Order Models in Network Science, July 2020, Rome, Italy
• Chair of Symposium Computational Social Science - Quo Vadis?, April 26, 2019, Zurich, Switzerland
• Program Co-Chair of Data Science Track at Informatik 2019, September 23-26, 2019, Kassel, Germany
• Co-Chair of Workshop on Higher-Order Models in Network Science, May 28, 2019, Burlington, Vermont, USA
• Co-Chair of Workshop on Higher-Order Models in Network Science, June 11-12, 2018, Paris, France
• Co-Chair of Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASOST 2017), September 22, 2017, Tucson, AZ, USA
• Co-Chair of Workshop on Higher-Order Models in Network Science, June 20, 2017, Indianapolis, IN, USA
• Co-Chair of Workshop Informatik Begeisterung held at Informatik 2016, September 26, 2016, Klagenfurt, Austria
• Doctoral Symposium Co-Chair of 10th IEEE International Conference on Self-Adaptation and Self-Organizing Systems (SASO 2016), September 15, 2016, Augsburg, Germany
• Co-Chair of Workshop on Higher-Order Models in Network Science, May 30, 2016, Seoul, Korea
• Co-Chair of Workshop on Higher-Order Models in Network Science, June 2, 2015, Zaragoza, Spain
• Co-Chair of Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'15), March 24-27, 2015, Porto, Portugal
• Co-Chair of Workshop on Social Influence held at 6th International Conference on Social Informatics (SocInfo 2014), November 10, 2014, Barcelona, Spain
• Co-Chair of Workshop on Dynamics on and of Complex Networks VII held at European Conference on Complex Systems (ECCS 2014), September, 2014, Lucca, Italy
• Co-Chair of Workshop on Higher-Order Models in Network Science, June 3, 2014, Berkeley, CA, USA
• Co-Chair of Workshop on Self-optimisation in organic and autonomic computing systems (SAOS'14), February 25 - 28, 2014, Lübeck, Germany
• Co-Chair of Workshop on Dynamics on and of Complex Networks VI held at European Conference on Complex Systems (ECCS 2013), September, 2013, Barcelona, Spain
• Co-Chair of Workshop on Sozioinformatik held at GI-Jahrestagung Informatik 2013, September 14, 2013, Koblenz, Germany
• Co-Chair of Workshop on Self-Adaptation and Self-Organization in Socio-Technical Systems (SASO^ST 2013) held at IEEE SASO 2013, September 9, 2013, Philadelphia, PA, USA
• Workshop Co-Chair of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2013), September 9-13, 2013, Philadelphia, PA, USA
• Sponsoring Co-Chair of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2013), September 9-13, 2013, Philadelphia, PA, USA
• Co-Chair of Workshop on Self-optimisation in organic and autonomic computing systems (SAOS'13), February 20, 2013, Prague, Czech Republic
• Program Co-Chair of 6th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2012), September 10-14, 2012, Lyon, France
• Co-Chair of Workshop on Complex Sciences in the Engineering of Computer Systems (CSECS 2012), February 28, 2012, Munich, Germany
• Co-Chair of Workshop on SocioAware Networked Computing Systems (SocioAware 2011), October 3, 2011, Ann Arbor, MI, USA

Society Memberships

• Member of the Schweizer Informatik Gesellschaft (SI) (since 2018)
• Member of the Deutsche Physikalische Gesellschaft (DPG) (since 2018)
• Member of the Konrad Zuse Gesellschaft (since 2013)
• Member of the Gesellschaft für Informatik (GI) (since 2001)

PhD Committee Memberships & PhD Thesis Reviews

• ETH Zurich, Switzerland (2021)
• Ludwig-Maximilians-Universität München, Germany (2021)
• Northeastern University, USA (2020)
• IMT School for Advanced Studies, Lucca, Italy (2019)
• University of Luxembourg (2018)

External Reviewer for Professoral Hiring Commissions

• HTW Saar (2021)
• FernUniversität in Hagen (2020)
• RWTH Aachen (2019)

Committee & Board Memberships

• Vice-Director of the Interdisciplinary Center for Machine Learning and Data Analytics (IZMD) (since 2020)
• Elected Member of the Presiding Committee of the Gesellschaft für Informatik (GI) (2017 - 2020)
• Ambassador of the Gesellschaft für Informatik (GI) at University of Zurich (since 2018)
• Member of the Data Science Task Force of the Gesellschaft für Informatik (GI) (since 2017)
• Founding Chair of the Computational Social Science Working Group at the Gesellschaft für Informatik (GI) (since 2016)
• Member of the Scientific Advisory Board of swiss innovation valley ag (2016 - 2019)
• Elected member of the Steering Committee of the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO) (2014 - 2018)
• Chair of the Juniorfellows at Gesellschaft für Informatik (GI e.V.) (2015-2016)
• Management Committee Member of EU COST Action TD1210 KNOWeSCAPE: Analyzing the dynamics of information and knowledge landscapes (2014 - 2016)
• Member of the Steering Committee (Leitungsgremium) of the GI section (Fachgruppe) Organic Computing (2013 - 2016)

Editorial Activities

• Editor of EPJ Data Science (since 2018)
• Guest editor of Social Network Analysis and Mining
• Guest editor of Topical Issue in Advances in Complex Systems: Structure and Dynamics of Collaborative Software Engineering: A Complex Networks Perspective
• Co-editor of book Social Informatics - The Social Impact of Interactions between Humans and IT, Springer Proceedings in Complexity

Reviewer for Funding Agencies

• Evaluator for the Royal Society of New Zealand (Te Aparangi)
• Evaluator for the National Research, Development and Innovation Fund, Hungary
• Evaluator for the Research Council of the Universitë catholique de Louvain, Belgium
• Evaluator for the Polish National Science Centre, Poland
• Evaluator for the Israel Science Foundation (ISF), Israel

Reviewer for Journals

• PNAS
• Nature Physics
• Nature Machine Intelligence
• Science Advances
• Nature Communications
• Physical Review X
• Physical Review E
• Physical Review Letters
• EPJ Data Science
• Data Mining and Knowledge Discovery
• PlosONE
• Algorithms
• Palgrave Communications
• ACM Computing Surveys
• IEEE Software
• IEEE Technology and Society
• IEEE Transactions on Software Engineering
• Journal of Informetrics
• Scientometrics
• Network Science
• Journal of Complex Networks
• Physica A: Statistical Mechanics and its Applications
• Journal of Software: Evolution and Process
• Journal of Systems and Software
• Future Internet
• Concurrency and Computation: Practice and Experience
• IEEE Transactions on Cybernetics
• Special Issue in Journal of Internet Services and Applications: Software Engineering from a Social Network Perspective
• Special Issue in Mind & Society: Complexity Modeling in Social Science and Economics
• ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS)
• Advances in Complex Systems (ACS)
• European Physics Journal B
• Physica A: Statistical Mechanics and its Applications
• Modern Physics Letters B: Condensed Matter Physics; Statistical Physics and Applied Physics

Reviewer for Conferences and Workshops

• The 20th Workshop on Machine Learning in Graphs (MLG) at ECML-PKDD, September 22 2023, Torino, Italy
• The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA
• The 32nd ACM Web Conference 2023 (WWW 2023), Austin, TX, USA
• Learning on Graphs Conference (LOG 2022), Virtual Event
• 30th International Symposium on Graph Drawing and Network Visualization (GD 2022), Tokyo, Japan
• 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2022), Washington, D.C., USA
• The 31st ACM Web Conference 2022 (WWW 2022), Lyon, France
• 38th International Conference on Machine Learning (ICML 2021), Virtual Conference
• 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada
• International School and Conference on Network Science (NetSci 2019), Burlington, Vermont, USA
• The 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA'18), Turin, Italy
• 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018)
• 7th International Workshop on Complex Networks and their Applications (Complex Networks 2018), Cambridge, UK
• Doctoral Symposium of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018), Trento, Italy
• International School and Conference on Network Science (NetSci 2018), Paris, France
• ACM Collective Intelligence 2018, Zurich, Switzerland
• COMPLENET 2018, Boston, MA, USA
• European Symposium Series on Societal Challenges in Computational Social Science, London, UK
• 5th International Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASOST 2017), Tucson, AZ, USA
• 9th IEEE Workshop on Network Science for Communication Networks (NetSciCom 2017), Atlanta, GA, USA
• International AAAI Conference on Web and Social Media (ICWSM-17), Montréal, Canada
• 5th International Workshop on Complex Networks and their Applications (Complex Networks 2016), Milano, Italy
• International AAAI Conference on Web and Social Media (ICWSM-16), Cologne, Germany
• 25th International World Wide Web Conference (WWW 2016), Montréal, Canada
• 8th IEEE Workshop on Network Science for Communication Networks (NetSciCom 2016), San Francisco, CA, USA
• International School and Conference on Network Science (NetSci-X 2016), Wroclaw, Poland
• 4th International Workshop on Complex Networks and their Applications (Complex Networks 2015), Bangkok, Thailand
• 24th International World Wide Web Conference (WWW 2015), Florence, Italy
• 3rd International Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASOST 2015), Boston, MA, USA
• 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2015), Boston, MA, USA
• Workshop on Self-Improving System Integration (SISSY 2015), Grenoble, France
• 1st International Workshop on Citizen-Oriented Autonomic Computing and Technologies for SmartCities (COACTS 2015), Grenoble, France
• 3rd International Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'15), Porto, Portugal
• 2nd International Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'14), Lübeck, Germany
• 8th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2014), London, UK
• Workshop on Social-aware Economic Traffic Management for Overlay and Cloud Applications 2013 (SETM 2013), October 14, 2013, Zurich, Switzerland
• 1st International Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'13), Prague, Czech Republic
• 2nd International Workshop on SocioAware Networked Computing Systems (SocioAware 2013), Philadelphia, PA, USA
• 2nd International Conference on Complex Sciences: Theory and Applications (Complex 2012), Santa Fe, NM, USA
• 6th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2012), Lyon, France
• International Workshop on Complex Sciences in the Engineering of Computer Systems (CSECS 2012), Munich, Germany
• 1st International Workshop on SocioAware Networked Computing Systems (SocioAware 2011), Ann Arbor, MI, USA
• 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2011), Ann Arbor, MI, USA
• 4th International Workshop on Massively Multiuser Virtual Environments (MMVE'11), Qinhuangdao, Hebei, China
• 3rd International Workshop on Massively Multiuser Virtual Environments (MMVE'10), Taipei, Taiwan
• 1st International Conference on Complex Sciences: Theory and Applications (COMPLEX'09), Shanghai, China
• 2nd International Workshop on Massively Multiuser Virtual Environments (MMVE'09), Lafayette, LA, USA

Monographs

• Ingo Scholtes: Harnessing Complex Structures and Collective Dynamics in Large Networked Computing Systems, Dissertation, University of Trier, 204 pages, May 2011
• Ingo Scholtes: A reimplementation of the CORBA-based Event Monitoring System for the ATLAS LHC Experiment at CERN, Diploma Thesis, University of Trier, 164 pages, November 2005

Journals and Refereed Conference Proceedings

• Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
  Predicting Variable-Length Paths in Networked Systems using Multi-Order Generative Models
  to appear in Applied Network Science, 2023
• Vincenzo Perri, Luka Petrovic, Ingo Scholtes
  Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior
  to appear in EPJ Data Science, 2023
• Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
  Locating Community Smells in Software Development Processes using Higher-Order Network Centralities
  to appear in Social Network Analysis and Mining, 2023
• Unai Alvarez-Rodriguez, Luka Petrovic, Ingo Scholtes
  Inference of time-ordered multibody interactions
  to appear in Physical Review E, 2023
• Leonore Röseler, Ingo Scholtes, Christoph Gote
  A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations
  Registered Report, ICSE CHASE, May 2023
• F Schweitzer, G Andres, G Casiraghi, C Gote, R Roller, I Scholtes, G Vaccario, C Zingg
  Modeling Social Resilience: Questions, Answers, Open Problems
  Advances in Complex Systems, December 2022
• Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
  De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
  In Proceedings of the First Learning on Graphs Conference, PMLR 198:51:1-51:21, December 2022
• Christopher Blöcker, Jelena Smiljanić, Ingo Scholtes, Martin Rosvall
  Similarity-based Link Prediction from Modular Compression of Network Flows
  In Proceedings of the First Learning on Graphs Conference, PMLR 198:51:1-52:18, December 2022
• Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
  One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
  In Proceedings of the Third Conference On Computational Humanities Research (CHR2022), December 2022
• Christoph Gote, Vincenzo Perri, Ingo Scholtes
  Predicting Influential Higher-Order Patterns in Temporal Network Data
  In Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2022), Istanbul, Turkey, November 10-13, 2022, [Best Paper Award]
• Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
  Sequential Motifs in Observed Walks
  In Journal of Complex Networks, Vol. 10, Issue 5, October, 2022
• Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Aniko Hannak
  Willing to revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition
  In Proceedings of The first International Conference on Hybrid Human-Artificial Intelligence (HHAI2022), Amsterdam, Netherlands, June 2022
• Luka V Petrović and Ingo Scholtes
  Learning the Markov order of paths in graphs
  In Proceedings of WWW '22: The Web Conference 2022, Lyon, France, April 2022
• Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes
  Big Data = Big Insights? Operationalizing Brooks’ Law in a Massive GitHub Data Set
  To appear in Proceedings of the 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA, May 2022
• Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
  Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352)
  Dagstuhl Reports, Vol. 11, No. 7, pp. 139 -- 178, December 2021
  [DOI] [Dagstuhl Research Online Publication Server]
• Jürgen Hackl, Ingo Scholtes, Luka V Petrović, Vincenzo Perri, Luca Verginer, Christoph Gote
  Analysis and visualisation of time series data on networks with pathpy
  In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
• Vincenzo Perri and Ingo Scholtes
  Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis
  In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
• Luka Petrović and Ingo Scholtes
  PaCo: Fast Counting of Causal Paths in Temporal Network Data
  In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
  [arXiv 1905.11287]
• Christoph Gote, Ingo Scholtes and Frank Schweitzer
  Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net
  In Empirical Software Engineering, May 26, 2021
  [arXiv 1911.09484] [SpringerLink]
• Yan Zhang, Antonios Garas and Ingo Scholtes
  Higher-order models capture changes in controllability of temporal networks
  In Journal of Physics: Complexity, Vol. 2, No. 1, January 29, 2021
  [DOI] [arXiv 1701.06331]
• Vincenzo Perri and Ingo Scholtes
  HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs
  In Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD 2020), Vancouver, BC, Canada, September 15-18, 2020
  [DOI] [arXiv 1908.05976] [DBLP BibTeX]
• Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad and Frank Schweitzer
  HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
  In Proceedings of SIAM International Conference on Data Mining (SDM 2020), May 7-9 2020
  [DOI] [DBLP BibTeX] [arXiv 1905.10580]
• Christoph Gote, Ingo Scholtes
  git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories
  In Proceedings of the 16th International Conference on Mining Software Repositories, MSR 2019, Montreal, QC, Canada, May 2019
  [MSR 2019 Website] [arXiv 1903.10180] [DBLP BibTeX] [Reproducibility repository]
• Renaud Lambiotte, Martin Rosvall, Ingo Scholtes
  From Networks to Optimal Higher-Order Models of Complex Systems
  In Nature Physics, Vol. 15, p. 313-320, March 25 2019
  [nature.com] [arXiv 1806.05977]
• Renaud Lambiotte, Martin Rosvall, Michael Schaub, Ingo Scholtes and Jian Xu
  Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
  Hands-On Tutorial at KDD'18 - 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, August 19-23, 2018
  [Tutorial Website] [KDD 2018 Website]
• Ingo Scholtes
  Data Science in den Sozialwissenschaften (in German)
  In Data Literacy und Data Science Education: Digitale Kompetenzen in der Hochschulausbildung, April 2018
  [Online article] [GI e.V.]
• Ingo Scholtes
  When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks
  In KDD'17 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, August 13-17, 2017
  [ACM Digital Library] [DOI] [arXiv 1702.05499] [python module] [Supplementary Code][Promotional video] [News Coverage]
• Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
  From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles
  In Social Informatics. SocInfo 2017, Lecture Notes in Computer Science, Vol. 10540, September 2017
  [SpringerLink] [DOI] [arXiv 1706.04370] [Poster presented at MLG2017 @ KDD17]
• Emre Sarigöl, David Garcia, Ingo Scholtes, Frank Schweitzer
  Quantifying the effect of editor-author relations on manuscript handling times
  Scientometrics, March 2017
  [SpringerLink] [DOI] [Media Coverage]
• Vikramjit Singh, Markus Esch, Ingo Scholtes
  Decentralized Cluster Detection in Distributed Systems based on Self-Organized Synchronization
  In Proceedings of the 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Augsburg, Germany, September 2016
  [IEEE Digital Library] [DOI]
• Ingo Scholtes, Pavlin Mavrodiev, Frank Schweitzer
  From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects
  Empirical Software Engineering, Volume 21, Issue 2, pp 642-683, April 2016
  [SpringerLink] [DOI]  [Media Coverage 1]  [Media Coverage 2]
• Ingo Scholtes, Nicolas Wider, Antonios Garas
  Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities
  The European Physical Journal B, 89:61, March 2 2016
  [SpringerLink] [DOI] [arXiv 1508.06467]
• Ingo Scholtes
  Understanding Complex Systems: When Big Data meets Network Science
  it - Information Technology, De Gruyter, August 1 2015
  [De Gruyter] [DOI] [DBLP BibTeX]
• Marcelo Cataldo, Ingo Scholtes, Giuseppe Valetto
  A Complex Networks Perspective on Collaborative Software Engineering
  Advances in Complex Systems, May 7 2015
  [World Scientific Online Library] [DBLP BibTeX]
• Ingo Scholtes, Nicolas Wider, René Pfitzner, Antonios Garas, Claudio Juan Tessone and Frank Schweitzer
  Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks
  Nature Communications, Vol. 5, Article 5024, September 24, 2014
  [Nature.com] [arXiv 1307.4030] [DOI] [Research Insight]
• Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas and Frank Schweitzer
  Predicting Scientific Success Based on Coauthorship Networks
  EPJ Data Science, 2014:9, September 25 2014
  [EPJ.org] [arXiv 1402.7268] [DOI] [Media Coverage]
• Marcelo Serrano Zanetti, Claudio Juan Tessone, Ingo Scholtes and Frank Schweitzer
  Automated Software Re-modularization Based on Move Refactoring
  In Proceedings of the 13th International Conference on Modularity (Modularity), Lugano, Switzerland, April 2014
  [ACM Digital Library] [DBLP BibTeX]
• Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker and Ingo Scholtes
  Engineering and Mastering Interwoven Systems
  In Proceedings of the 2nd International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), Lübeck, Germany, February 2014
  [IEEE Digital Library] [DBLP BibTeX]
• René Pfitzner, Ingo Scholtes, Antonios Garas, Claudio Juan Tessone and Frank Schweitzer
  Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks
  Physical Review Letters, Volume 110, Issue 19, Article 198701, May 10 2013
  [American Physical Society] [arXiv 1208.0588] [DOI] [Research Insight]
• Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
  Enhancing Consensus Under Opinion Bias By Means Of Hierarchical Decision Making
  Advances in Complex Systems, Vol. 16, December 2013
  [World Scientific Online Library]
• Valentin Burger, Tobias Hoßfeld, David Garcia, Michael Seufert, Ingo Scholtes and David Hock
  Resilience in Enterprise Social Networks
  In Proceedings of the GI Jahrestagung 2013, pp. 1177-1179, Koblenz, Germany, September 16-20, 2013
  [DBLP BibTeX]
• Ingo Scholtes, René Pfitzner and Frank Schweitzer
  The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches
  In Proceedings of the GI Jahrestagung 2013, pp. 1177-1179, Koblenz, Germany, September 16-20, 2013
  [DBLP BibTeX]
• Ingo Scholtes and Markus Esch
  Complex Structures and Collective Dynamics in Networked Systems: A Tutorial
  In Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 271-272, Philadelphia, PA, USA, September 9-13, 2013
  [IEEE Digital Library] [DBLP BibTeX]
• Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
  The Rise and Fall of a Central Contributor: Centralization and Performance in the Gentoo Community
  In Proceedings of the 6th International Workshop on Cooperative and Human Aspects in Software Engineering (CHASE) held at ICSE 2013, San Francisco, CA, USA, May 2013
  [IEEE Digital Library] [arXiv 1302.7191] [DBLP BibTeX]
• Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
  Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
  In Proceedings of the 35th International Conference on Software Engineering (ICSE '13), pp. 1032-1041, San Francisco, CA, USA, May 2013
  [ACM Digital Library] [arXiv 1302.6764] [DBLP BibTeX]
• Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
  A Quantitative Study of Social Organization in Open Source Software Communities
  In Proceedings of Imperial College Computing Student Workshop (ICCSW), Open Access Series in Informatics, pp. 116-122, London, UK, September 27-28, 2012
  [Dagstuhl Research Online Publication Server] [arXiv 1208.4289] [DBLP BibTeX]
• Joydeep Chandra, Ingo Scholtes, Niloy Ganguly and Frank Schweitzer
  A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks
  In Proceedings of 11th IEEE International Conference on Trust, Securit and Privacy and Communications (TrustCom), pp. 722-729, Liverpool, UK, June 25-27, 2012 [Best Paper]
  [IEEE Digital Library] [arXiv 1204.5314] [DBLP BibTeX]
• Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
  Hierarchical Consensus Formation Reduces The Influence of Opinion Bias
  In Proceedings of the 26th European Conference on Modelling and Simulation (ECMS), Koblenz, Germany, May 29 - June 1, 2012
  [arXiv 1204.0015] [DBLP BibTeX]
• Ingo Scholtes and Claudio Juan Tessone
  Organic Design of Massively Distributed Systems: A Complex Networks Perspective
  Informatik Spektrum, Vol. 35, No. 2, pp. 75-86, Springer, April 2012
  [SpringerLink] [arXiv 1201.3480] [DBLP BibTeX]
• Markus Esch, Aleksandrina Kovacheva, Ingo Scholtes, Steffen Rothkugel
  TweetGames: A framework for Twitter-based Collaborative Social Online Games
  In Proceedings of the 7th International Conference on Collaborative Computing (CollaborateCom), pp. 436-442, Orlando, FL, USA, October 15 - 18, 2011
  [IEEE Digital Library] [DBLP BibTeX]
• Jean Botev, Markus Esch,Herman Schloss, Ingo Scholtes and Peter Sturm
  HyperVerse: simulation and testbed reconciled
  International Journal of Advanced Media and Communication, pp. 167-181, Vol. 4, No. 2, 2010
  [Inderscience Library] [DBLP BibTeX]
• Jean Botev and Ingo Scholtes
  A self-organized resource allocation scheme for decentralized distributed virtual environments
  In Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 1-7, Chicago, IL, USA, October 9 - 12, 2010
  [IEEE Digital Library] [DBLP BibTeX]
• Ingo Scholtes
  Distributed Creation and Adaptation of Random Scale-Free Overlay Networks
  In Proceedings of the 4th IEEE Conference on Self-Organizing and Self-Adaptive Systems (SASO), pp. 51-63, Budapest, Hungary, September 27 - October 1, 2010
  [IEEE Digital Library] [arXiv 1005.5628] [DBLP BibTeX]
• Ingo Scholtes, Jean Botev, Markus Esch, Peter Sturm
  Epidemic Self-Synchronization in Complex Networks of Kuramoto Oscillators
  Advances in Complex Systems, Vol. 13, No. 1, pp. 33-58, World Scientific, June 2010
  [World Scientific Online Library] [DBLP BibTeX]
• Markus Esch and Ingo Scholtes
  Resilience and Multicast Aspects of the Structured Network Overlay GP3
  In Proceedings of the 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 1117-1122, Krakow, Poland, February 15 - 18, 2010
  [IEEE Digital Library] [DBLP BibTeX]
• Markus Esch, Wei Tsang Ooi, Ingo Scholtes
  Evaluation of the HyperVerse Avatar Management Scheme Based on the Analysis of Second Life Traces
  In Proceedings of the 15th International Conference on Parallel and Distributed Systems (ICPADS), Shenzhen, Guangdong, China, pp. 692-699, December 8 - 11, 2009
  [IEEE Digital Library] [DBLP BibTeX]
• Markus Esch and Ingo Scholtes
  A scale-free and self-organized P2P overlay for massive multiuser virtual environments
  In Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 1-10, Washington DC, USA, November 11 - 14, 2009
  [European Union Digital Library] [DBLP BibTeX]
• Markus Esch, Jean Botev, Hermann Schloss and Ingo Scholtes
  Performance Evaluation of GP3 - A Grid-Based Spatial Index Infrastructure
  In Proceedings of the 6th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, pp. 663-670, April 27 - 29, 2009
  [IEEE Digital Library] [DBLP BibTeX]
• Markus Esch, Jean Botev, Hermann Schloss, Ingo Scholtes
  P2P-Based Avatar Interaction in Massive Multiuser Virtual Environments
  In Proceedings of the 3rd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 977-982, Fukuoka, Japan, March 16-19, 2009
  [IEEE Digital Library] [DBLP BibTeX]
• Alexander Hohfeld, Patrick Gratz, Angelo Beck, Jean Botev, Hermann Schloss, Ingo Scholtes
  Self-organizing collaborative filtering in global-scale massive multi-user virtual environments
  In Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, pp. 1719-1723, March 9 - 12, 2009
  [ACM Digital Library] [DBLP BibTeX]
• Ingo Scholtes, Jean Botev, Markus Esch, Peter Sturm
  Epidemic Self-Synchronization in Complex Networks
  In Proceedings of the First International Conference on Complex Sciences (Complex), pp. 1794-1809, Shanghai, China, February 23 - 25, 2009
  [SpringerLink] [DBLP BibTeX]
• Hermann Schloss, Jean Botev, Alexander Hohfeld, Ingo Scholtes; Rainer Oechsle and Markus Esch
  HiOPS overlay - efficient provision of multicast in peer-to-peer systems
  In Proceedings of the 16th International Conference on Networks (ICON), New Delhi, India, pp. 1 - 6, December 12 - 14, 2008
  [IEEE Digital Library] [DBLP BibTeX]
• Markus Esch, Jean Botev, Hermann Schloss and Ingo Scholtes
  GP3 - A Distributed Grid-Based Spatial Index Infrastructure for Massive Multiuser Virtual Environments
  In Proceedings of the 14th International Conference on Parallel and Distributed Systems (ICPADS), Melbourne, Victoria, Australia, pp. 811-816, December 8 - 10, 2008, 
  [IEEE Digital Library] [DBLP BibTeX]
• Ingo Scholtes, Jean Botev, Markus Esch, Hermann Schloss and Peter Sturm
  Using Epidemic Hoarding to Minimize Load Delays in P2P Distributed Virtual Environments
  In Proceedings of the 4th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 578-593, Orlando, FL, USA, November 13 - 16, 2008
  [SpringerLink] [DBLP BibTeX]
• Ingo Scholtes, Jean Botev, Markus Esch, Alexander Hohfeld, Hermann Schloss
  Awareness-Driven Phase Transitions in Very Large Scale Distributed Systems
  In Proceedings of the 2nd IEEE Conference on Self-Organizing and Self-Adaptive Systems (SASO), pp. 25-34, Venice, Italy, October 20 - 24, 2008
  [IEEE Digital Library] [DBLP BibTeX]
• Markus Esch, Patrick Gratz, Steffen Rothkugel, Jörg Jakoby, Ingo Scholtes and Peter Sturm
  CrePes - Warum und wie Schüler ab 8 Jahren Programmieren lernen sollten [In German]
  In Proceedings of 6th e-Learning Fachtagung Informatik der Gesellschaft für Informatik e.V., pp. 413-424, September 7 - 10, 2008, Lübeck, Germany
  [GI Lecture Notes] [DBLP BibTeX]
• Ingo Scholtes, Serguei Kolos and Pasquale Federico Zema
  The ATLAS Event Monitoring Service-Peer-to-Peer Data Distribution in High-Energy Physics
  IEEE Transactions on Nuclear Science, Vol. 55, No. 3, pp. 1610-1620, June 2008
  [IEEE Digital Library] [Research Insight]
• Ingo Scholtes, Jean Botev, Markus Esch, Alexander Hohfeld, Hermann Schloss and Benjamin Zech
  TopGen - internet router-level topology generation based on technology constraints
  In Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems (SimuTools), pp. 30-38, Marseille, France, March 3 - 7, 2008
  [ACM Digital Library] [DBLP BibTeX]
• Markus Esch, Jean Botev, Hermann Schloss, Alexander Hohfeld, Ingo Scholtes and Benjamin Zech
  SimCon - a simulation and visualization environment for overlay networks and large-scale applications
  In Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems (SimuTools), pp. 68-76, Marseille, France, March 3 - 7, 2008
  [ACM Digital Library] [DBLP BibTeX]
• Jean Botev, Markus Esch, Alexander Hohfeld, Herman Schloss, Ingo Scholtes and Peter Sturm
  The HyperVerse: concepts for a federated and Torrent-based '3D Web'
  International Journal of Advanced Media and Communication, pp. 331-350, Vol. 2, No. 4, 2008
  [Inderscience Library] [DBLP BibTeX]
• Markus Esch, Hermann Schloss and Ingo Scholtes
  The SEMPA prototype - using XAML and web services for rich interactive Peer-to-Peer applications
  In Proceedings of the 3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 271-277, White Plains, New York, USA, November 12 - 15, 2007
  [ACM Digital Library] [DBLP BibTeX]
• Ingo Scholtes, Serguei Kolos, Pasquale Federico Zema
  The ATLAS Event Monitoring Service - Peer-to-Peer Data Distribution in High-Energy Physics
  In Proceedings of the IEEE Nuclear Science Symposium (NSS/MIC), San Diego, CA, USA, October 29 - November 4, 2006
  [IEEE Digital Library]
• Ingo Scholtes, Daniel Görgen, Patrick Gratz
  Web Service Interface Syndication and its Application to a Collaborative Weblog Search
  In Proceedings of the 2nd International Conference on Collaborative Computing, Networking, Applications and Worksharing (CollaborateCom), Atlanta GA, USA, November 17-20, 2006
  [IEEE Digital Library]
• Ingo Scholtes and Peter Sturm
  Web Federates - Towards a Middleware for Highly Scalable Peer-to-Peer Services
  In Proceedings of the Second International Conference on Web Information Systems and Technologies (WEBIST), Setubal, Portugal, April 11 - 13, 2006
  [DBLP BibTeX]
• Doris Burckhart-Chromek et al.
  Testing on a Large Scale: running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC Nodes
  In Proceedings of the 15th International Conference on Computing In High Energy and Nuclear Physics (CHEP), Mumbai, India, pp.60-65, February 13 - 17, 2006
  [CERN Document Server]

2023

• De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Invited Keynote at Temporal Graph Workshop, NeurIPS 2023, New Orleans, LA, USA, December 16, 2023
• Higher-Order Models of Causal Topologies in Temporal Networks - From Modelling to Deep Learning 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
• 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

2022

• 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
• 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

2021

• 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
• From networks to optimal models of complex systems
  Invited Talk at Computational Social Science Seminar, ETH Zürich, Switzerland, November 16, 2021
• 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
• Higher-Order Network Science: From Theoretical Foundations to Machine Learning
  Opening Talk at Dagstuhl Seminar 21352, Dagstuhl, Germany, August 29, 2021
• Combining Collective and Artificial Intelligence in Human-AI Cyber-Organizations (online talk)
  Talk for VolkswagenStiftung, Wolfsburg, Germany, July 29, 2021
• Higher-Order Network Science: From Theoretical Foundations to Machine Learning (online talk)
  Keynote at HONS 2021, Washington D.C., USA, July 2, 2021
• Next Generation Network Analytics for Time Series Data (online talk)
  Talk at Julius-Maximilians-Universität Würzburg, Germany, January 14, 2021

2020

• Next Generation Network Analytics for Time Series Data (online talk)
  Talk at University of Mannheim, Mannheim, Germany, November 9, 2020
• 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
• Next Generation Network Analytics for Time Series Data (online talk)
  Talk at University of Tübingen, Tübingen, Germany, September 15, 2020
• Introduction to Network Science (canceled due to CoViD-19) 
  Lecture at Ghent Summer School, DANS 2020, Ghent, Belgium, September 15, 2020
• Next Generation Network Analytics for Time Series Data
  Talk at University of Koblenz-Landau, Koblenz, Germany, September 11, 2020
• 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
• Networks in Space and Time
  Interdisciplinary Symposium on Resilience and Performance of Networked Systems, ETH Zurich, January 16, 2020

2019

• Networks in Space and Time
  Talk at IMACM Colloquium, University of Wuppertal, Germany, October 22, 2019
• Networks in Space and Time
  Inaugural Lecture, University of Zurich, September 16, 2019
• Higher-Order Network Analytics for Time-Stamped Data on Social Interactions
  Tutorial at EuroCSS 2019, ETH Zürich, September 2, 2019
• What makes teams successful? A Data Science Perspective
  Invited Talk at advAIsor AG, Zurich, July 12, 2019
• pathpy: From Past to Future
  Opening Talk at the first pathpy user meeting, ETH Zurich, June 17, 2019
• Data, Networks, Social Science
  Opening Talk at Symposium Computational Social Science - Quo Vadis?, University of Zurich, April 26, 2019
• Demystifying Machine Learning
  Invited Talk at Klinik für Neurochirurgie, University Hospital of Zürich, April 25, 2019
• Data Analytics in Social Organizations
  Invited Talk at Behavioral Studies Colloquium, ETH Zurich, April 16, 2019
• 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
• Next Generation Network Analytics for Time Series Data
  Talk at Department of Computer Science, University of Zurich, March 8, 2019
• Optimal Network Models for Time Series Data
  Invited Talk at CRiSM Seminar Series, Department of Statistics, University of Warwick, UK, February 14, 2019
• Learning [with] Graphs
  Internal Research Pitch, University of Zurich, February 11, 2019

2018

• What makes teams successful? A Data Science Perspective
  Talk at UZH Executive MBA Information Event, Zürich, November 6, 2018
• Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
  Invited Talk at IBM Research, Rueschlikon, Switzerland, October 11, 2018
• Understanding Complex Systems: From Networks to Optimal Higher-Order Models
  Talk at Complexity Science Hub Vienna, Austria, September 5, 2018
• 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
• Learning Optimal Models of Causal Topologies in Temporal Network Data
  Talk at Max-Planck-Institute for Ornithology, University of Konstanz, Germany, July 10, 2018
• Next Generation Network Analytics for Time Series Data
  Talk at University of Stuttgart, Germany, July 5, 2018
• Entropy-based detection of inherent time scales in temporal networks
  Talk at NetSci 2018, Paris, France, June 15, 2018
• Learning optimal models of causal topologies in temporal data streams
  Talk at Symposium on Machine Learning in Network Science, Paris, France, June 12, 2018
• 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
• Next-Generation Network Analytics for Time Series Data
  Talk at Faculty of Mathematics and Natural Sciences, Bergische Universität Wuppertal, Germany, June 4, 2018
• Data Analytics in Social Organizations: Lessons from Software Engineering and Scientometrics
  Invited Talk at Computation and Society Workshop, EPFL Lausanne, Switzerland, May 22, 2018
• Next-Generation Network Analytics for Time Series Data
  Talk at Department of Informatics, University of Fribourg, Fribourg, Switzerland, April 24, 2018
• 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
• Next-Generation Network Analytics for Time Series Data
  Talk at Faculty of Mathematics and Computer Science, Philipps-Universität Marburg, Marburg, Germany, April 12, 2018
• Understanding Social Systems: From Sociophysics to Computational Social Science
  Talk at Spring meeting of the German Physical Society, Berlin, Germany, March 15, 2018
• 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
• Data Science in den Sozialwissenschaften
  Talk at Workshop of GI Data Science Task Force, Berlin, Germany, January 30, 2018
• Modelling Social Networks
  Invited Talk at Workshop on Ethics in Complex Systems, Potsdam, Germany, January 29, 2018
• Next Generation Network Analytics for Time Series Data
  SNSF Interview Talk, Bern, Switzerland, January 11, 2018