Doctoral Consortium Program

The Doctoral Consortium is an opportunity for PhD students to present their research projects, get some feedback and foster discussion.

The DC session is scheduled on Tuesday 28/06/22 and it will consist of two sessions:

  1. 10:30-13:00 – Flash DC talks: DC participants will hold a flash presentation of their research summaries/projects. The presentation will be 5-6 minutes long.
  2. 14:15-16:00 – Group discussion: Discussion groups will be created and senior CC-researchers will be assigned as scientific mentors to each group.

See the conference program here.

Accepted DC presentations

The list of DC of participants and their corresponding research summaries (papers can be found in the main program) is presented below. Remote presentations will be held first, followed by on-site presentations.
Presentations will be held in alphabetical order.

Remote presentations

  • Berker Banar
    Towards Composing Contemporary Classical Music using Generative Deep Learning (Research Summary)
  • Gabriel Lencione
    Nameling: Creative Neologism Generation with Transfer Learning
    (Research Summary).
  • Ezgi Şen
    Character Designs in Relation with Artificial Intelligence
    (Research Summary).

On-site presentations

  • Janita Aamir
    Implementation of an Anti-Plagiarism Constraint Model for Sequence Generation Systems (Short Paper 9)
  • Sean Anderson
    Towards automatic harmony analysis with Minimalist syntax and program synthesis (Research Summary)
  • Marta Arbab
    Hybrid Innovation with Artificial Intelligence
    Personal Subjectivity: Conceptualization (Research Summary)
  • Andrea Bolzoni
    Sound-based music style modelling, for a free improvisation musical agent. (Research Summary)
  • Alex Calderwood
    Spinning Coherent Interactive Fiction through Foundation Model Prompts (Long Paper 2)
  • Patrick Chieppe – Bayesian Modelling of the Well-Made Surprise
    (Long Paper 16)
  • Amanda Curtis
    Interactive Research Artifacts as Design Tools for Knowledge Creation (Research Summary)
  • Ziv Epstein
    AI-generated media for collaborative speculation
    (Research Summary).
  • Petra Jääskeläinen
    Sustainability and Ethics Perspectives on Creative-Ai (Research Summary)
  • Marcio Lima Inácio
    Analysis and Generation of Verbal Humor in Portuguese (Research Summary)
  • Tyler Liu
    The Resistance Aesthetics of Algorithms: Exploring the Ambiguity in AI-generative Art
    (Research Summary)
  • Max Peeperkorn
    Using an Artificial Social Context for Evaluating Creative Output (Research Summary)
  • Piera Riccio
    Algorithmic Censorship of Art: A Proposed Research Agenda (Short Paper 17)
  • André C. Santos
    Co-creative Musical Repurposing by Modelling Rhythmic Compatibility (Research Summary)
  • Luís Espírito Santo
    Theoretical Learning Creators and Creative Scientists (Research Summary)
  • Hope Schroeder
    When happy accidents foster creativity: Bringing collaborative speculation to life with generative AI (Short Paper 16)

  • Amy Elizabeth Smith
    The @artbhot Text-To-Image Twitter Bot (Research Summary)
  • Marvin Zammit
    Seeding Diversity into AI Art
    (Long Paper 15)