Main invited keynotes

• Summer School on Artificial Intelligence for a Secure Society , Capo Vaticano, Italy, September 5-10, 2024.
• The 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024) , University of Calabria, Rende, Italy, September 02-05, 2024.
• The 21st Symposium on Intelligent Data Analysis (IDA 2023) , Louvain-la-Neuve, Belgium, 12-14, April 2023.
• The 2nd ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2020), Ghent, Belgium, September 14th, 2020.
• The 8th International Conference on Computational Data and Social Networks (CSoNet 2019), Ho Chi Minh City, Vietnam, November 18-20, 2019.
• The Global Forum on AI for Humanity (GFAIH) , invited talk and panel in the session "AI & Human values: inequalities, biases, fairness, representation of minorities, gender balance" together with Ricardo Baeza-Yates, Kate Crawford, Laurence Devillers, and Eric Salobir.
• Keynote "AI and Blockchain: Future Convergence and Synergies" at the Public Hearing on Initial Coin Offerings organized by CONSOB at Bocconi University, May 21, 2019.
• The 45th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2019), Nový Smokovec, Slovakia, January 27-30, 2019.
• The International School and Conference on Network Science (NetSciX 2019), Santiago, Chile, January 3-5, 2019.
• The 1st CIKM Workshop on Data and Algorithmic Bias (DAB 2017), Singapore, November 6, 2017.
• The 6th International Conference on Data Science, Technology and Applications (DATA 2017), Madrid, Spain, July 24-26, 2017.
• The 17th International Conference on Web Engineering (ICWE'17), Rome, Italy, June 5-8, 2017.
• INNS Conference on Big Data, Thessaloniki, Greece, October 23-25, 2016.
• CCS Warmup - The 3rd School on Complex Systems, Sept 16-18, 2016, Amsterdam.
• The 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2015), October 19-21, 2015, Paris, France.
• Big Data Mining, 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine'15) a workshop of KDD'15, August 10th, 2015 Sydney, Australia.
• Workhop on Diffusion Networks and Cascade Analytics, at WSDM 2014, February 2014, NYC.
• The Third IEEE ICDM Workshop on Data Mining in Networks (DaMNet 2013), December 2013, Dallas, Texas.
• 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE), an ECML-PKDD workshop, September 2013, Prague, Czech Republic.
• Workshop on Complexity in Online Social Networks and Big Data satellite of ECCS'13, September 2013, Barcelona, Spain.
• The IEEE ICDM 2012 PhD Student Forum, December 2012, Brussels.
• The 2011 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2011), July 2011, Lyon, France.

General Chair

• KDD 2024
• The 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023)
• The 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018)
• IEEE BigData 2018 Workshop on Big Social Media Data Management and Analysis (BSMDMA 2018)

PC Chair

• The 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020)
• The 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019) - Application Track
• The European Conference on Machine Learning and Principle and Practice of Knowledge Discovery in Databases (ECML PKDD 2018)
• PC Co-Chair of the "Social Network Analysis and Graph algorithms for the Web" track @ The International World Wide Web Conference (WWW 2018)
• The 28th ACM Conference on Hypertext and Hypermedia (HT 2017)
• The 16th IEEE International Conference on Data Mining (ICDM 2016)
• The International Workshop on Social Web Mining (SWM 2011)
• The 21st European Conference on Machine Learning and The 14th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2010)
• The Second ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2008)
• The First ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007)
• The IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006)
• The Fourth International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005)

Panels

• "The Responsibility Challenge for Data" SIGMOD'19 panel. Together with Tina Eliassi-Rad, Lise Getoor, Krishna Gummadi, and Julia Stoyanovich. Panel organizer: H. V. Jagadish.
• "Top-10 Data Mining Case Studies" ICDM'10 panel. Together with Ashok Srivasta, Bart Goethals, Rayid Ghani, Christos Faloutsos, Longbing Cao, Osmar Zaiane, Rong Duan, Paul Beinat, and Geoff McLachlan. Panel organizers: Gabor Melli and Xindong Wu.
• "Social Networks and Data Mining: Where’s the Beef?" ICDM'08 panel. Together with Tanya Berger-Wolf, Bettina Berendt, Elena Ferrari, Jiawei Han, and Dino Pedreschi. Panel organizer: Jean-François Boulicaut.

Tutorials

• D. Koutra, J. Vreeken, F. Bonchi New Trends in Summarizing Graphs at Multiple Scales The 18th IEEE International Conference on Data Mining (ICDM 2018) ©IEEE November 17-20, 2018, Singapore.
• F. Bonchi Mining Information Propagation Data The 6th International Conference on Complex Networks and Their Applications. November 28, 2017, Lyon, France.
• A. Khan, S.S. Bhowmick, F. Bonchi Summarizing Static and Dynamic Big Graphs In Proceedings of the 43rd International Conference on Very Large Databases 2017 (VLDB 2017) ©VLDB Endowment August 28th - September 1, 2017, Munich, Germany.
• S. Hajian, F. Bonchi, C. Castillo Algorithmic bias: from discrimination discovery to fairness-aware data mining In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016) ©ACM August 13-17, 2016, San Francisco, California.
• F. Bonchi, G. De Francisci Morales, M. Riondato Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms In Proceedings of the 25th International World Wide Web Conference (WWW 2016) ©ACM April 11-15, 2016, Montreal, Canada.
• F. Bonchi, D. Garcia-Soriano, E. Liberty Correlation Clustering: from Theory to Practice In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014) ©ACM August 24-27, 2014, New York City, USA.

Other organization roles

• Tutorial Chair of The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019)
• Workshop Chair of The 2018 ACM International Conference on Information and Knowledge Management (CIKM 2018)
• Demonstration Chair of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015)
• Sponsorship Chair of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014)
• Demo Chair of The 2012 IEEE International Conference on Data Mining (ICDM 2012)
• Promotion Chair of The Second ACM International Conference on Web Search and Data Mining (WSDM 2009)
• Workshop Chair of The 2008 IEEE International Conference on Data Mining (ICDM 2008)
• Tutorial Selection Committee Member of The 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006)
• Organizing Committee Member of The 15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2004)

Program Committees (not a complete list)

• * = PC chair
• ^ = vice-chair, area chair, senior reviewer, meta-reviewer

• 2024: WSDM^, SDM^, WWW^,
• 2023: WSDM^, SDM^, KDD^
• 2022: WSDM^, SDM^, WWW^, IJCAI-ECAI^, KDD^, ICDM^, CIKM^, ECML/PKDD^
• 2021: SDM^, WWW^, VLDB, SIGMOD, ICDE, KDD^,ICDM^
• 2020: SDM^, WWW^, ECAI^,IJCAI^, KDD^, ECML/PKDD^, ICDM^, ICMLA*
• 2019: SDM^, WWW^, DSAA*, IJCAI^, KDD^, ECML/PKDD^, CIKM
• 2018: VLDB, ICDE, SDM^, WWW*, KDD^, ECML/PKDD*, IJCAI^,ICWSM^, NetSci^
• 2017: SDM^, WWW, EDBT, ICWSM^,HT*, KDD, CIKM^,ICDM, BigData^
• 2016: VLDB, SIGMOD, WSDM, SDM^, WWW, EDBT, ICWSM^, KDD^,ECML/PKDD^, CIKM^,ICDM*,BigData
• 2015: WSDM, SDM^, WWW, KDD^, IJCAI^, ICWSM^, ECML/PKDD^, BigData, ICDM
• 2014: ICDE, EDBT, WSDM, WWW, KDD^, ICWSM, ECML/PKDD, CIKM^, ICDM, WebDB, BigMine, COSN, BigData^
• 2013: WSDM, EDBT, SIGMOD, KDD, ECML/PKDD, CIKM^,ICDM, MLG,BigData, BigMine
• 2012: ICDE, KDD, ICDM^, SDM^, WWW, WWW [demo], ECML/PKDD^, ECML/PKDD [demo], CIKM, PAKDD, AMW, ESWC, MLG
• 2011: KDD, CIKM^,WWW, ECML/PKDD^, WI^, DaWaK, ASONAM, SEBD, SWM*, MLG
• 2010: WWW, ICDM, ECML/PKDD*, CIKM, AMW, ASONAM, SAC - Privacy on the Web Track
• 2009: ICDE, KDD, ICDM, ECML/PKDD^, PAKDD, IDEAS, ASONAM, MLG, PAIS, SAC - DM
• 2008: ICDM, SDM, ECML PKDD, PAKDD, PinKDD*, DaWaK, MLG, ADMA, HPDM, IPM, MMD, P3DM, PAIS, SAC - DM
• 2007: ICDM^, ECML-PKDD, PinKDD*, DaWaK, MLG, CMILE, ADMA, SAC - DM
• 2006: ICDM, ECML-PKDD, PADM*, KDID, DaWaK, ADMA, SAC - DM
• 2005: ICDM,ECML-PKDD, KDID*, ADMA
• 2004: KDID

Summer schools

• Lecturer at The EDBT Summer School 2013, September 2013, Aussois, France.
• Lecturer at The Second European Summer School on Knowledge Discovery for Ubiquitous Computing, March 2008, Porto, Portugal.
• Lecturer at The First European Summer School on Knowledge Discovery for Ubiquitous Computing, September 2006, Dortmund, Germany.

Ph.D. Supervising (current students)

• Àlex Martínez Miguel, (University of Barcelona, Spain) biases in recommender systems.
• Ilaria Taddei, (Pompeu Fabra University, Barcelona, Spain) algorithmic bias, fair ranking.
• Marco Minici, (Italian National PhD program in Artificial Intelligence for Society, University of Pisa, Italy) recommender systems, algorithmic bias, and behavioral modeling.
• Stefano Di Giovenale, (La Sapienza University, Rome, Italy) machine learning and data science for cancer data.
• Carlo Abrate, (La Sapienza University, Rome, Italy) explainability in machine learning and data science.
• Federico Cinus, (La Sapienza University, Rome, Italy) opinion dynamics and social networks analysis.
• Gabriele D'Acunto, (La Sapienza University, Rome, Italy) machine learning methods for finance, causal analysis.

Graduated Ph.D. Students

• (2023) Tommaso Lanciano, "Dense Subgraph Mining: Novel Concepts and Real-world Applications" May 2023, La Sapienza University, Rome, Italy.
• (2020 - Co-supervisor together with Carlos Castillo) Francesco Fabbri, "Algorithmic Bias in Graph-Based Recommender Systems", October 2023, Pompeu Fabra University, Barcelona, Spain.
• (2020 - Co-supervisor together with Giancarlo Ruffo) Edoardo Galimberti, "Substructures in multilayer, temporal, and signed networks: methods and applications", March 2020, University of Turin, Italy.
• (2018 - Co-supervisor together with Ricardo Baeza-Yates) Ioanna Tsalouchidou, "Temporal Analysis of Large Dynamic Graphs", October 2018, Pompeu Fabra University, Barcelona, Spain.
• (2016 - Co-supervisor together with Ricardo Baeza-Yates) Cigdem Aslay, "From Viral Marketing to Social Advertising: Ad Allocation under Social Influence", December 2016, Pompeu Fabra University, Barcelona, Spain.
• (2016 - Co-supervisor together with Ricardo Baeza-Yates) Yasir Mehmood, "Modeling the Roles of Individuals and Groups in the Dynamics of Information Propagation", April 2016, Pompeu Fabra University, Barcelona, Spain.
• (2009 - Co-supervisor together with Fosca Giannotti) Michele Berlingerio, "Graph and Network Data: Mining the Temporal Dimension", December 2009, IMT, Lucca, Italy.

Ph.D. Committees

• (2022) George Panagopoulos, "Learning Influence Representations: Methods and Applications", February 2022, Ecole Polytechnique, Paris, France.
• (2021) Eliana Pastor, "Pattern-based algorithms for Explainable AI", October 2021, Politecnico di Torino, Italy.
• (2021) Lorenzo Dell'Amico, "Spectral Methods for Graph Clustering", October 2021, University of Grenoble, France.
• (2020) Jose Mena Roldan, "Modelling Uncertainty in Black-box Classification Systems", December 2020, University of Barcelona, Spain.
• (2019) Leonardo Gutiérrez Gómez, "Machine Learning On Complex Networks: Dynamical Fingerprints, Embeddings and Feature Engineering", October 2019, Université catholique de Louvain, Belgium.
• (2018) Muhammad Aamir Saleem, "Location analytics for location-based social networks", May 2018, Aalborg University, Denmark.
• (2017) Yllka Velaj, "Information spreading with network augmentation", November 2017, Gran Sasso Science Institute (GSSI), Italy.
• (2017) Mauro Coletto, "Analysis of Polarized Communities in Online Social Networks", March 2017, IMT School for Advanced Studies, Lucca, Italy.
• (2016) Corrado Monti, "Modeling and Mining Complex Networks with Feature-Rich Nodes", December 2016, University of Milan, Italy.
• (2015) Eduardo Graell, "Biased Behavior in Web Activities", May 2015, Pompeu Fabra University, Barcelona, Spain.
• (2013) Diego Sáez Trumper, "Finding Relevant People in Online Social Networks", December 2013, Pompeu Fabra University, Barcelona, Spain.
• (2013) Ida Mele, "Web Usage Mining and its Applications to Web Search and Recommendation", December 2013, La Sapienza University of Rome, Italy.
• (2013) Nhat Hai Phan, "Mining Object Movement Patterns from Trajectory Data", October 2013, LIRMM, Montpellier, France.
• (2012) Thi Kim Ngan Nguyen, "Generalizing Association Rules in N-ary Relations: Application to Dynamic Graph Analysis", October 2012, INSA, Lyon, France.
• (2011) David Laniado, "Social production of knowledge by online communities", November 2011, Politecnico di Milano, Italy.
• (2010) Loic Cerf, "Constrained-based mining of closed patterns in noisy n-ary relations", July 2010, INSA, Lyon, France.
• (2010) Fabricio Benevenuto, "An Empirical Analysis of Interactions in Online Social Networks", March 2010, Federal University of Minas Gerais, Belo Horizonte, Brazil.
• (2009) Barbara Poblete, "Query-Based Data Mining for the Web", October 2009, Pompeu Fabra University, Barcelona, Spain.