Invitation new RE course: Coping with Complexity in Socio-technical Systems | Tarcisio A. Saurin & Tor Olav Grotan

Brazilian and Norwegian universities are promoting the 4th edition of a free course on resilience engineering. This year´s edition starts on the 2nd of September and is comprised of 15 online meetings with lectures given by leading scholars from several countries. Participants can attend either some specific lectures of interest or the whole course. A certificate will be given to those who attend the whole course and complete the course assignments – if this is your case, please contact Prof. Tarcisio Saurin (saurin@ufrgs.br) to be included as a full participant. If your participation will be occasional, there is no need for registration. The course syllabus, timeline, and zoom link are available below.

Course title

Coping with Complexity in Socio-technical Systems: principles and practices for resilient performance

Coordinators: Tarcisio A. Saurin; ORCID: 0000-0003-2929-5888, saurin@ufrgs.br

                       Tor Olav Grotan; ORCID: 0000-0002-6863-7038, tor.o.grotan@sintef.no

Classes will be on-line with live meetings on Fridays 9 am – 12 am (Brasilia Time, BRT)  

Zoom platform will be used for the live meetings on Fridays. There will be 15 live meetings from September to December, 2022. All course materials (recorded lectures, videos, papers, etc.) will be available on a Google Drive folder to be defined.   

Zoom link for all classes: https://us02web.zoom.us/j/89466510577?pwd=UUxFTVVyU01MVUxTY0NwTXlYMHpFdz09

Password: 141509

Course description

The course will address the theory and practice of Resilience Engineering (RE), which is a systems-oriented approach for coping with complexity in socio-technical systems. Although RE was originally focused on safety performance, its scope has evolved over time and it is nowadays concerned with resilient performance per se and has implications to several business dimensions such as productivity, reliability, and quality. The course covers the theoretical foundations of RE stemming from complexity science, followed by a presentation of approaches for the modelling of systems functioning and resilient performance. It also addresses practical applications of RE in several domains (e.g., healthcare, construction, oil and gas) and management sub-systems such as training and performance measurement.                    

Learning objectives

At the end of this course, students will be able to:

  • Recognize terminology and key themes related to resilience, complexity, and safety;
  • Differentiate the characteristics of RE in relation to other management approaches;
  • Discuss the strengths and weaknesses of two system modelling tools (i.e., social network analysis and Functional Resonance Analysis Method);
  • Identify opportunities for applying RE in different sectors such as construction and healthcare;
  • Map attributes of complex socio-technical systems (e.g., diversity, variability) onto resilience principles and practices useful to cope with them; and
  • Propose changes in existing safety and production management practices as to make them more aligned to the complexity of the systems where they are applied.        

Assignment and weighting

The course includes only one assignment, namely the development of a paper reporting a case study of safety or production management practices from the RE viewpoint. Literature reviews will not be accepted. Students will self-organize in groups of no more than four people and seek a company that fits their objectives and is open to data collection. The specific practices studied should be chosen by each group and they may encompass practices other than those discussed during the course. The last two classes are reserved for the oral presentations of this assignment by each group, which will have a 30-minute slot: 20 minutes for presentation plus 10 minutes for questions and answers.

This paper is expected to be strong enough so as it can be published as a conference or journal paper in the year following the course. A draft of this paper must be delivered up to 31/01/2023, containing at least the following sections: title, abstract, keywords, introduction, literature review, and research method.              

The oral presentation of the case study accounts for 25% of the overall grade, while the remaining 75% stems from the paper. The assessment of the paper will be based on the rubric below.

  Criteria/levelPotential as a journal paperPotential only as a conference paperNo publication potential    Points
  Originality    The topic is new/current or is an old topic that will be interpreted from a new perspective 2.0 ptsWell-known and widely studied topic but still relevant for incremental innovation 1.0 ptsOld topic that is no longer mainstream   0.0 pts2.0
  Quality of writing and text structure      Writing follows a logic structure and the paper is easily readable from the beginning to end       2.0 ptsWriting quality and structure are inconsistent across the paper sections, alternating clear and confusing portions         1.0 ptsWriting is confusing throughout the whole paper and ideas are disconnected from each other 0.0 pts2.0
  IntroductionIntroduction is concise and convincing, clearly stating a research gap or research question 2.0 ptsIntroduction presents some good ideas; however it is far from clear what is the research gap/question    1.0 ptsIntroduction is long and repetitive, far from indicating a research gap/question 0.0 pts2.0
Literature review sectionLiterature review is concise and clearly related to the paper scope   1.0 ptsLiterature review is either too long/short or unrelated to the paper scope 0.5 pts Literature review is too long/short and unrelated to the paper scope.  0.0 pts1.0
    Method    Data collection and analysis procedures are clearly described and framed within known research strategies (e.g., case study, survey). High quality data is likely to be produced. 2.0 ptsData collection and analysis are described in very general terms and disconnected from research methods theories. High uncertainty regarding the quality of the data that will be produced.      1.0 ptsEither data collection or data analysis are described but not both. There is no reliable plan for the field work.    0.0 pts2.0
    References        Most references stem from journal papers published in the last three years.       1.0 ptsA minor portion of the references is from the last three years, and many sources are non-academic (e.g., blogs, books for practitioners, etc.).     0.5 pts Mostly old references (more than 5 years ago), many references in languages other than English and few journal papers. 0.0 pts1.0
   Total points10.0

Course policies

Attendance of the on-line classes is mandatory and a frequency of at least 75% is required. Students must keep their cameras on during the classes and turn on their microphones only when speaking. Participation during the classes, while not graded, is strongly encouraged. Students are not expected to communicate in perfect English and they should not be afraid of making language mistakes. Plagiarism in the assignment will not be tolerated.     

Course timeline

ClassDateInstructorTopics
1September 2Tarcisio Saurin (UFRGS)Introduction to the course; What is complexity and guidelines for coping with it. Principles for the modelling of socio-technical systems.
2September 9Ivonne Herrera (Research Council, Norway)What is resilience (why, what, and how)? 
  3September 16Oriol Artime (Italy)* and Flavio Fogliatto (UFRGS)*1-hour REA/IEA webinar Modelling the structure and dynamics of socio-technical systems through network science. It will be followed by STERNA lecture
4September 23Riccardo Patriarca (Sapienza University, Italy) and Gesa Praetorious (Swedish National Road and Transport Research Institute and University of South-eastern Norway)FRAM – underlying principles, application steps.
5September 30Mike Rayo (Ohio State University)Outmanoeuvring complexity 
6October 7Paulo Victor Carvalho and Jose Orlando Gomes (UFRJ), Alessandro Jatoba (UFF)  The Brazilian COVID-19 crisis: case studies on resilience engineering
7October 14Éder Henriqson (Pontifical Catholic University of Rio Grande do Sul, PUCRS, Brazil) Resilience engineering in distributed and integrated operations
8October 21Tarcisio Saurin and Tor Olav GrotanSupervision of case studies and paper development
9October 28Kristine Storkersen (NTNU) and Sina Øyri (University of Stavanger)*1.5 hours REA/IEA webinar Can regulations support resilient performance? It will be followed by discussion of papers in STERNA class   
10November 4Tor Olav Grotan (NTNU) Training for operational resilience capabilities
11November 11Trond Kongsvik (NTNU)   Balancing Safety-I and Safety-II in performance measurement and training
12November 18Dayana Costa (UFBA) and Alejandro Frank (UFRGS)Industry 4.0 and resilience engineering
13November 25Carlos Formoso (UFRGS)Built environment and resilience engineering
14December 2Seminars (part I)Presentations of case studies
15December 9Seminars (part II)Presentations of case studies

About one week before each class, students will receive one or two papers for reading in preparation for the class. They are expected to bring at least one question or comment for discussion during the class. In addition, most instructors will post in advance to the class a video teaser (about 10 minutes) summarizing the main topics that will be covered during the class.