Process science

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Process science is the method of describing change from an inquiry-oriented process perspective. [1] [2] [3] Process science includes algorithms, heuristics, and sequences found in psychology, linguistics, anthropology, politics, and economics. [4] In sociology, processes are temporal. [5] In computer science, a process is the collective input/output. [6]

Contents

Overview

Principles and phases

Brocke et al. state that process science has four central tenets: [7]

  1. "Processes are in the focus" [7]
  2. A science of discovery (observation), explanation, and investigation [7]
  3. Interdisciplinarity [7]
  4. A science of social impact [7]

Brocke et al. subdivide process science into three phases: [8]

  1. Discovery (emergence) [8]
  2. Explanation (dynamics) [8]
  3. Intervention (change) [8]

History

The term "process science" has been used in different disciplines, including computer science, [9] business process management, [10] and engineering. [11]

In a paper published in 2021, a group of scholars from diverse scientific backgrounds used the term to introduce an "interdisciplinary study of continuous change". [12] They envisioned a scientific field that gives primacy to processes at various scales. Implicitly drawing on the tenets of process philosophy, [13] process science works on the premise that the world is in a constant state of change and becoming, and scientific work should target at understanding these processes in the study of phenomena of all kinds. [12]

The founding group of the interdisciplinary field of process science includes researchers from social science, management science, and computer science. One of the founding members is the computer scientist Wil van der Aalst. [14]

Other

Process science is an emerging scientific field concerned with studying the nature of change. [15] [14] It provides terminology and develops sets of methods and tools for studying change. [16] [17] Since it is characterized by a highly interdisciplinary approach and a focus on real-world problems, process science can be considered a form of post-disciplinary research. [18] Process science is influenced by numerous fields, including computer science, social science, psychology, natural science, urban science, economics, and engineering. [11]

Process science applies the concept of process to recognize sequences of actions (activities taken by specific actors) and events (dynamics that occur in the environment) that unfold over time. Both are abstract categories formed from instantaneous observations or occurrences. [19] Process science aims to identify and optimize opportunities related to digital trace data. [20] It also focuses on collecting and developing various algorithmic techniques to analyze these data. [21]

The study of processes has been applied to a diverse range of areas, including technological, economic, political, environmental, social, and human aspects of change. [22]

Researchers and practitioners who work on process science-related topics are referred to as process scientists. [12]

See also

Related Research Articles

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<span class="mw-page-title-main">Collective action</span> Action taken together by a group of people to further a common objective

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<span class="mw-page-title-main">Process modeling</span> Definition and description of a process or system

The term process model is used in various contexts. For example, in business process modeling the enterprise process model is often referred to as the business process model.

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A workflow pattern is a specialized form of design pattern as defined in the area of software engineering or business process engineering. Workflow patterns refer specifically to recurrent problems and proven solutions related to the development of workflow applications in particular, and more broadly, process-oriented applications.

<span class="mw-page-title-main">XPDL</span>

The XML Process Definition Language (XPDL) is a format standardized by the Workflow Management Coalition (WfMC) to interchange business process definitions between different workflow products, i.e. between different modeling tools and management suites. XPDL defines an XML schema for specifying the declarative part of workflow / business process.

Process mining is a family of techniques used to analyze event data in order to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other information such as resources, costs, and so on.

Business process discovery (BPD) related to business process management and process mining is a set of techniques that manually or automatically construct a representation of an organisations' current business processes and their major process variations. These techniques use data recorded in the existing organisational methods of work, documentations, and technology systems that run business processes within an organisation. The type of data required for process discovery is called an event log. Any record of data that contains the case id, activity name, and timestamp. Such a record qualifies for an event log and can be used to discover the underlying process model. The event log can contain additional information related to the process, such as the resources executing the activity, the type or nature of the events, or any other relevant details. Process discovery aims to obtain a process model that describes the event log as closely as possible. The process model acts as a graphical representation of the process. The event logs used for discovery could contain noise, irregular information, and inconsistent/incorrect timestamps. Process discovery is challenging due to such noisy event logs and because the event log contains only a part of the actual process hidden behind the system. The discovery algorithms should solely depend on a small percentage of data provided by the event logs to develop the closest possible model to the actual behaviour.

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<span class="mw-page-title-main">Wil van der Aalst</span> Dutch computer scientist and professor

Willibrordus Martinus Pancratius van der Aalst is a Dutch computer scientist and full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group. His research and teaching interests include information systems, workflow management, Petri nets, process mining, specification languages, and simulation. He is also known for his work on workflow patterns.

<span class="mw-page-title-main">Conformance checking</span>

Business process conformance checking is a family of process mining techniques to compare a process model with an event log of the same process. It is used to check if the actual execution of a business process, as recorded in the event log, conforms to the model and vice versa.

Arthur Harry Maria ter Hofstede is a Dutch computer scientist, and professor of information systems at the Queensland University of Technology in Australia, and professor at the Eindhoven University of Technology, known for his work in workflow patterns, YAWL, and business process management.

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Mathias Weske is a German computer scientist, and Professor of Business Process Technology at the University of Potsdam, known for his contributions in the field of business process management and as a founder of the business Signavio.

Jacobus (Jaap) Wessels was a Dutch mathematician and Professor of Stochastic Operations Research at the Eindhoven University of Technology, known for his contributions in the field of Markov decision processes.

Markus F. Peschl is an Austrian cognitive scientist, philosopher of mind, philosopher of science and researcher on innovation, and professor for Cognitive Science and Philosophy of Science at the University of Vienna, Austria. He is known for his early work on cognitive modelling, and his more recent work concerning a"socio-epistemological approach to innovation."

Epistemology of finance is a broad field of study that aims at providing a conceptual framework(s) for the interpretation of mathematical models in finance as well as the study of their possible limitations, in order to determine the epistemological standards according to which financial theory should be assessed against any associated empirical reality. A key problem is to what extent the combination of self-reference and adaption (reflexivity) undermine the stability, uniqueness, and usefulness of predictive models in finance and economics.

The International Conference on Business Process Management is an academic conference organized annually by the BPM community. The conference was first organized in 2003 Eindhoven, Netherlands. Since then the conference has been organized annually. The conference is the premium forum for researchers, practitioners and developers in the field of Business Process Management (BPM). The conference typically attracts over 300 participants from all over the world.

<span class="mw-page-title-main">Michael Rosemann</span>

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References

  1. Millar, Robin (2015). "Process science". Encyclopaedia of Science Education. Dordrecht: Springer. Retrieved 26 July 2024. Most lists of processes however include observing, measuring, classifying, inferring, predicting, hypothesizing, and finding patterns, and some also add experimenting, planning investigations, controlling variables, communicating, and others. A 'process approach' to science contrasts with the more usual 'content approach,' in which the development of students' practical and inquiry skills is seen as secondary to, or a by-product of, the development of their scientific knowledge and understanding. [...] The process approach emphasizes science as a form of inquiry, rather than as a body of knowledge.
  2. Kyle, William C.; Bonnstetter, Ronald J.; Gadsden, Thomas; Shymansky, James A. (1988). "...About Hands-on Science". Science and Children. 25 (7): 39–52. JSTOR   43166898 . Retrieved 26 July 2024. The overall goal [of the 'Science Curriculum Improvement Study'] was to provide everyone with an understanding of inquiry, process approach, and the goals of science education.
  3. Gatchel, Stanley G.; Tanik, Murat M. (December 2001). "Process Science And Philosophy: For Want Of Synthetic Thought And A Unifying Philosophy". Journal of Integrated Design and Process Science. 5 (4): 1–21. Retrieved 26 July 2024. Let the term 'process' be defined as all our attempts to describe this concept of change. So defined, process science becomes the scientific undertaking to seek methods of describing change in human-comprehensible forms, e.g. mathematics, language, experimentation, logic, and observation. The task of process philosophy is to interpret the findings of process science for effective coordination and use within human civilization.
  4. vom Brocke, Jan; van der Aalst, Wil; Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Pentland, Brian T.; Recker, Jan; Roeglinger, Maximilian; Rosemann, Michael; Weber, Barbara (3 September 2021). "Process Science: The Interdisciplinary Study of Continuous Change". SSRN. doi:10.2139/ssrn.3916817. S2CID   237452856 . Retrieved 26 July 2024. These include psychology, linguistics, anthropology, politics, economics, and others (Cornwell, 2015). In the broadest sense, a process brings about change through a sequence of temporally and causally related activities or events. To this end, the term has been appropriated by various disciplines in different ways (Mendling, Berente, Seidel, & Grisold, 2021; Pettigrew, 1997; Van de Ven & Poole, 1995).
  5. vom Brocke, Jan; van der Aalst, Wil; Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Pentland, Brian T.; Recker, Jan; Roeglinger, Maximilian; Rosemann, Michael; Weber, Barbara (3 September 2021). "Process Science: The Interdisciplinary Study of Continuous Change". SSRN. doi:10.2139/ssrn.3916817. S2CID   237452856 . Retrieved 26 July 2024. For example, in the context of sociology, processes serve to uncover the temporal aspects of a given phenomenon, e.g. life trajectories (Abbott, 1995).
  6. vom Brocke, Jan; van der Aalst, Wil; Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Pentland, Brian T.; Recker, Jan; Roeglinger, Maximilian; Rosemann, Michael; Weber, Barbara (3 September 2021). "Process Science: The Interdisciplinary Study of Continuous Change". SSRN. doi:10.2139/ssrn.3916817. S2CID   237452856 . Retrieved 26 July 2024. [C]omputer science uses the term to depict intended computational sequences to accomplish a specific outcome.
  7. 1 2 3 4 5 vom Brocke, Jan; van der Aalst, Wil; Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Pentland, Brian T.; Recker, Jan; Roeglinger, Maximilian; Rosemann, Michael; Weber, Barbara (3 September 2021). "Process Science: The Interdisciplinary Study of Continuous Change". SSRN. doi:10.2139/ssrn.3916817. S2CID   237452856 . Retrieved 26 July 2024. Process science emphasizes the following key charactersistics [sic]; (1) process are in the focus, (2) we scientifically investigate processes (3) through an interdisciplinary lens, and (4) we intend to influence and change processes to create impact.
  8. 1 2 3 4 vom Brocke, Jan; van der Aalst, Wil; Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Pentland, Brian T.; Recker, Jan; Roeglinger, Maximilian; Rosemann, Michael; Weber, Barbara (3 September 2021). "Process Science: The Interdisciplinary Study of Continuous Change". SSRN. doi:10.2139/ssrn.3916817. S2CID   237452856 . Retrieved 26 July 2024. Discovery emphasizes the detection of (emergent) dynamics constituting the phenomenon of interest. [...] Explanation aims at understanding the dynamics of processes. [...] Intervention aims at changing processes as they unfold [...] [three] phase[s.]
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  10. Mendling, Jan (2016). "From Scientific Process Management to Process Science: Towards an Empirical Research Agenda for Business Process Management" (PDF). In Hochreiner, Christoph; Schulte, Stefan (eds.). Proceedings of the 8th ZEUS Workshop. Vienna, Austria. pp. 1–4. ISSN   1613-0073.{{cite book}}: CS1 maint: location missing publisher (link)
  11. 1 2 Judd, Simon; Stephenson, Tom, eds. (2002). Process Science and Engineering for Water and Wastewater Treatment (1st ed.). London, United Kingdom: IWA Publishing. ISBN   9781900222754.
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