Workshop on Methods and Applications of Process Science - MAPS 2022

Process Science is an emerging multidisciplinary approach to support business process management using concepts and tools of computer science, management science, and information systems. Process Science aims at gathering a better understanding of application, organizations, or systems by studying their events in terms of coherent series of changes that evolves over time, occur at various levels, and perform functions. The ubiquitous availability of data, combined with advanced data analytics capabilities and artificial intelligence methods offers new opportunities to study processes integrating quantitative and qualitative approaches in unprecedented automated procedures.

The workshop aims at fostering the interaction between members of the national and international research community working on the different aspects of process science. This includes industrial and academic researchers and other professionals who are actively working in the field. Participants are welcome to present their ongoing initiatives and experience either as talks or demonstrations. Commercial products presentation will not be considered for presentation.

Interesting topics include, but are not limited to:

  • Process profiling and variant analysis
  • Performance mining
  • Trace clustering
  • Comparative process mining
  • Process discovery
  • Conformance checking
  • Process optimization
  • Real-time process monitoring
  • Predictive process monitoring
  • Root cause analysis
  • What-if analysis with process data
  • Decision mining
  • Decision point analysis
  • Process data augmentation
  • Process simulation

Important Dates

Submission deadline: July 31st, 2022
Conference days: September 20-21, 2022
Workshop Day: September 20, 2022 (9.00 to 13.00)



Paolo Ceravolo, Università degli Studi di Milano, Italy (

Program Committee

  • Annalisa Appice

  • Pasquale Ardimento

  • Lerina Aversano

  • Sylvio Barbon

  • Valerio Bellandi

  • Marta Cimitile

  • Ernesto Damiani

  • Maggi Fabrizio

  • Mario Luca

  • Donato Malerba

  • Gabriel Marques

Format/structure of the workshop (tentative schedule)

Submission and selection

Submissions can be in different formats including, abstracts, slides, demos, and short papers. In general, for each proposal, the authors must submit 2 pages describing the presentation content. Presentations can include live demonstrations of tools and techniques. Also, walkthroughs of attack scenarios are welcome. The program committee will be in charge of the review of the proposed presentation and of the related selection process. The committee will consider, in particular, the potential interest of the expected audience for the presentations. There will be no official publication for the presented works, but we will make available on the website the material that the authors want to share with the workshop community.

Submissions can be sent to paolo.ceravolo [at]


  • 9:00 - 9:10 - Opening
  • 9:10 - 9:30 - Data-aware next activity explainable prediction - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
  • 9:30 - 9:50 - Meta-learning for automatic Process Mining - Sylvio Barbon Junior, Paolo Ceravolo, Gabriel Marques Tavares
  • 9:50 - 10:10 - Data-Aware Process Discovery for Malware Detection: An Empirical Study - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone, Fabrizio Maggi
  • 10:10 - 10:30 - Log2Enc: an event log encoding comparison tool - Gionata Forello, Gabriel Marques Tavares, Paolo Ceravolo
  • 10:30 - 10:50 - Rule Mining with RuM Francesco Riva, Fabrizio Maria Maggi
  • Coffee Break
  • 11:15 - 11:35 - Leveraging predictive process mining in process discovery - Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Wil M. P. van der Aalst
  • 11-35 - 11:55 - Challenges and opportunities for applying process mining in understanding coding behavior - Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile