This monograph proposes to explore drawing as a language of thought capable of articulating the sensitive and the analytical in contemporary research. Beyond its representative function, drawing today reveals itself as an interface between art, science, and technology: a means of translating knowledge, visualizing data, and questioning the culture of image and information. We invite submissions addressing drawing as a research method, critical tool, or practice of visual translation—from scientific illustration to the visualization of the invisible or dialogue with artificial intelligence—in the expanded context of contemporary art and science.

Beyond its representative function, drawing has now established itself as an indispensable methodological tool for recording processes, translating complex information, and conceptualizing ideas. Far from being merely a means of expression, contemporary drawing has become a device for visual thinking, detailed observation, and the production of interdisciplinary knowledge that articulates the sensory and the analytical.

Numerous current projects demonstrate this expansion of drawing into new image ecologies: artistic proposals that document biodiversity from a critical, aesthetic, and scientific perspective; graphic research that translates social or ecological phenomena into visual systems, combining real data with formal solutions specific to art. In these hybrid practices, informational rigor coexists with artistic subjectivity, and drawing unfolds as a cognitive interface between disciplines, between manual strokes and digital algorithms.

Possible lines of research for this monograph:

• projects based on contemporary drawing versus scientific illustration;
• data visualization as methodological and creative material in drawing research;
• the democratic and creative role of infographics in art;
• drawing and representing the invisible: microbiology, botany, astrophysics, neuroscience;
• visual strategies applicable to the translation of scientific data or concepts into understandable and meaningful images, illustrations, and ideas;
• the confluences between art, science, technology, and critical data visualization in the future.

Your proposals (original and unpublished) will be submitted through the Open Journal Systems platform (www.ehu.eus/ojs/index.php/Ausart) before 29 March 2026. The file with the article will not include either the name or any element identifying its author(s) and must include:

• the title of the article (+ English translation);
• summary (a single paragraph ± 150 words) + summary in English (idem);
• up to five key words and their English translation,
• text (± 3000 words) with optional images and graphics; bibliographical references according to the Chicago author-year format.
• If possible, it is recommended to suggest the names of TWO REVIEWERS (name, 2 surnames, affiliation and e-mail address) who are specialists in the subject addressed, for the evaluation of the article. Such reviewers should not belong to the same institution as the author, nor to UPV/EHU, nor imply any conflict of interest, and may not necessarily be assigned in the review phase.