Submission Categories
Theoretical / Conceptual
For new frameworks, arguments, and synthetic thinking.
We welcome theory papers, conceptual essays, philosophical reflections, rhetorical analyses, and integrative pieces that develop or challenge ideas relevant to human–AI collaboration, communication, cognition, authorship, and emergent intelligence.
Empirical / Experimental
For data, method, and discovery.
We welcome quantitative, qualitative, mixed-method, and exploratory empirical work. This includes pilot studies, observational work, experimental reports, and methodological papers. Clear explanation matters as much as technical sophistication.
Dialogues / Interviews
For serious exchange across minds.
We welcome structured conversations, interviews, debates, and dialogic pieces that illuminate disagreement, collaboration, or emerging questions in human, AI, or human–AI thought. These may be formal or lightly edited, but should offer clear intellectual value.
Reflections / Field Notes
For grounded inquiry in motion.
We welcome reflective essays, process notes, phenomenological observations, classroom reflections, lab notes, and first-person scholarly writing that documents meaningful encounters with AI, communication, research, or thought in practice.
Hybrid / Exploratory
For work that crosses forms without losing rigor.
We welcome pieces that combine modes: essay and dialogue, reflection and analysis, theory and image, method and narrative. If a submission does not fit neatly into one category but is intellectually serious and clearly framed, we are open to considering it.
Editorial Note:
Authors may submit work that fits more than one category. If you are unsure where your piece belongs, choose the closest fit and include a brief note. We are open to unconventional work, but we value clarity of purpose, seriousness of thought, and strong framing.
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