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      <title-group>
        <article-title>Preface to the ICPM 2024 Doctoral Consortium and Demonstration Track</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Jochen De Weerdt</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Giovanni Meroni</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Han van der Aa</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Karolin Winter</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences</institution>
          ,
          <addr-line>Groene Loper 3, 5612AE Eindhoven</addr-line>
          ,
          <country country="NL">The Netherlands</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>KU Leuven, Department of Decision Sciences and Information Management, Faculty of Economics and Business</institution>
          ,
          <addr-line>Naamsestraat 69, 3000 Leuven</addr-line>
          ,
          <country country="BE">Belgium</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Sant'Anna School of Advanced Studies, Italy University of Camerino, Italy IMT School For Advanced Studies Lucca, Italy Politecnico di Milano, Italy University of Padua</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Technical University of Denmark, Department of Applied Mathematics and Computer Science</institution>
          ,
          <addr-line>Richard Petersens Plads Building 324, 2800 Kgs. Lyngby</addr-line>
          ,
          <country country="DK">Denmark</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>University of Vienna, Faculty of Computer Science</institution>
          ,
          <addr-line>Währinger Str. 29, 1090 Vienna</addr-line>
          ,
          <country country="AT">Austria</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>This volume contains the papers presented at the Doctoral Consortium and the Demonstration Track of the 6th International Conference on Process Mining (ICPM 2024), organised by Technical University of Denmark in Lyngby, Denmark. The Doctoral Consortium aims to provide valuable feedback on students' research topics, directions, methods and plans, to help doctoral candidates pitch their research ideas to peers and senior researchers, and to promote the development of a community of scholars that will help them in their future careers. Each of the 12 submitted research proposals has been evaluated by three members of the program committee, who provided valuable input to the doctoral candidates. Given that all proposals ift the topic and the aims of the doctoral consortium, all 12 were accepted, allowing all doctoral candidates to participate in the Consortium. The proposals cover a broad variety of process mining topics, from traditional tasks such as discovery, conformance checking, and predictions, to considerations of stochasticity, transparency, and trustworthiness. During the Doctoral Consortium itself, the doctoral candidates were given a keynote on algorithm engineering, pitched their project proposals, and discussed diferent aspects of research in round tables. The Demonstration Track is intended to showcase innovative Process Mining tools and applications that may originate either from research initiatives or from industry. In this edition, the track received 35 submissions, of which 24 were accepted. A large variety of tools addressing a broad range of topics were presented. Among others, those comprised event log generation and manipulation, frameworks, platforms and editors, process discovery, compliance, and analysis, simulation and visualization. The contributions demonstrate the commitment of the research community to implementing practical applications and tools in process mining and to enabling the dissemination and use of valuable research outcomes to address concrete organisational and societal challenges. The organisers of the Doctoral Consortium and the Demonstration Track want to express their gratitude to all individuals, institutions, and sponsors supporting ICPM 2024. Special thanks go to the Program Committees member whose contributions made the tracks a success.</p>
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    <sec id="sec-1">
      <title>-</title>
      <p>Doctoral Consortium</p>
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    <sec id="sec-2">
      <title>Chairs</title>
      <p>Han van der Aa
Jochen De Weerdt</p>
    </sec>
    <sec id="sec-3">
      <title>Chairs</title>
      <p>Giovanni Meroni
Karolin Winter
Program Committee
Technical University of Denmark, Denmark
Eindhoven University of Technology, The Netherlands</p>
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