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Hochschulübergreifende transdisziplinäre Forschungsverbünde bieten die Möglichkeit, Erfahrungen, Wissen und Kompetenzen komplementär zu bündeln und somit Synergien zu schaffen, die zur Lösung gesellschaftlicher Fragestellungen genutzt werden können. Zugleich gehen Kooperationen in dieser Konstellation mit einem höheren Aufwand einher und erfordern entsprechende Abstimmungsprozesse. Gerade in den Phasen der Planung und Antragsstellung eines solchen Forschungsverbunds sowie zu dessen Start und dem damit einhergehenden Onboarding der Verbundmitglieder und Praxispartner*innen werden signifikante Strukturen und Rahmenbedingungen für eine erfolgreiche Verbundarbeit etabliert.
Ausgehend von der Fragestellung "Welche Informationen hätten sich die Projektbeteiligten bereits zu Beginn des Forschungsvorhabens gewünscht?" bündelt dieser Leitfaden die Erkenntnisse aus der Antrags- und Onboardingphase des Forschungsverbunds InNoWest, um sie Interessierten als Orientierung zur Verfügung zu stellen. Der Leitfaden richtet sich dabei besonders an Wissenschaftler*innen, Mitglieder der Hochschulleitungen und Koordinationsteams, die vergleichbare Verbundprojekte konzipieren oder die ihre Rolle in einem solchen Verbund besser verstehen und ausgestalten wollen. Aber auch kleinere inter- und transdisziplinär arbeitende Forschungsprojekte können bei der Beantragung und dem Onboarding ihrer Projekte von den hier zusammengetragenen Erfahrungen von InNoWest profitieren.
Wie verändert KI im Beziehungsgefüge der Hochschule Bildungsprozesse? Welche Rolle spielt dabei, wie wir über KI sprechen? Mit diesen Fragen haben wir uns in einem (zweistündigen) Online-Workshop im Rahmen des diesjährigen University:Future Festival am 24. Juni 2026 beschäftigt. Dieser Blog-Beitrag ist unser gemeinsamer Bericht. Mit diesem möchten wir einen Einblick in den Workshop geben, an dem ca. 25 Personen engagiert bis zum Schluss teilgenommen haben. Für die interessanten Beiträge aus den Gruppen und dem Plenum möchten wir uns an dieser Stelle noch einmal herzlich bedanken. Im Folgenden geben wir einen kurzen Überblick über den einführenden Impuls und gehen – nach Absprache mit Personen, die teilgenommen haben – exemplarisch auf die Gruppenarbeit ein.
Research at higher education institutions (HEIs) is increasingly expected to address societal problems. In this context, transdisciplinary research practice is often referred to as a novel co-creative mode of research. However, collaboration with actors from outside the scientific system in transdisciplinary research projects requires specific competences. The article presents the formats for competence development in transdisciplinary research developed as part of the InNoWest joint research project, as well as the results of their formative evaluation. It outlines the potential and limitations of continuing professional development during project work, and reflects on the possibilities for the institutionalised development of transdisciplinary competences at HEIs. Drawing on the experiences of the German InNoWest joint research project, the article elucidates the ambivalence between transdisciplinary research as a mode of inquiry and the qualification and excellence criteria of scientific institutions, which are often based on technical expertise. The article further examines the conditions required to establish transdisciplinary research within German HEIs.
As artificial intelligence (AI) tools increasingly shape academic, professional, and creative practices, higher education needs ways to assess students’ AI literacy. This poster presents the development and exploratory evaluation of a mixed-item-format AI literacy questionnaire at university entry. The instrument was administered as a baseline during the first weeks of the semester to first-year students in design and information science programmes. It combines self-report rating-scale items across cognitive, behavioural, affective, and ethical dimensions. These are complemented by embedded performance-oriented indicators, including a selected-response knowledge item and open-response prompts assessing articulated AI use and ethical reasoning. The complete questionnaire is publicly available at https://doi.org/10.5281/zenodo.18759246. Self-report results indicated comparatively higher perceived competence in the behavioural and ethical dimensions, whereas perceived cognitive competence was lower. In contrast, open-responses often showed limited elaboration of concrete AI-use scenarios and ethical implications. In the cognitive dimension, comparisons between self-ratings and performance on the knowledge item revealed a misalignment between perceived and demonstrated knowledge at entry. These initial results support the use of the instrument as a baseline, multi-format diagnostic measure, to be iteratively refined within a design-based research cycle. We discuss implications for refining the questionnaire, and how it can inform the improvement of early-semester AI teaching formats in design and information science curricula.
This contribution proposes an unconference at DH 2025 to strengthen the exchange between visualization research and digital humanities (DH) communities. Building on the DH 2023 workshop on visualization literacy and research opportunities, we aim to create a participant‑driven space where DH researchers, educators, and practitioners can learn about visualization practices and co‑develop a shared research agenda tailored to humanities needs. The unconference has three goals: introducing DH practitioners to the VIS4DH community and resources; enabling attendee‑guided dialogue around their own visualization questions and challenges; and strategically mapping open questions and future directions, including the option of forming an ADHO Special Interest Group.
The CLEF-2026 CheckThat! Lab
(2026)
The CheckThat! lab aims to advance the development of innovative technologies combating disinformation and manipulation efforts in online communication across a multitude of languages and platforms. While in early editions the focus has been on core tasks of the verification pipeline (check-worthiness, evidence retrieval, and verification), in the past three editions, the lab added additional tasks linked to the verification process. In this year’s edition, the verification pipeline is at the center again with the following tasks: Task 1 on source retrieval for scientific web claims (a follow-up of the 2025 edition), Task 2 on fact-checking numerical and temporal claims, which adds a reasoning component to the 2025 edition, and Task 3, which expands the verification pipeline with generation of full-fact-checking articles. These tasks represent challenging classification and retrieval problems as well as generation challenges at the document and span level, including multilingual settings.
Provocation has long been used in HCI to challenge audiences’ assumptions about technology. However, designers and researchers themselves operate within implicit assumptions that shape the technologies they imagine - invisible constraints that limit what futures we design for. In this paper, we introduce self-provocation as a complementary concept that turns the disruptive impulse inward to make designers’ familiar thinking patterns strange through self-imposed constraints. Our approach builds on avant-garde artistic movements (Surrealism, Oulipo, Fluxus) and critical practices in HCI embracing speculation, anti-solutionism, and non-determinism as epistemic forces, focusing on process over outcomes. We provide a framework dividing self-provocation methods into two levels building on defamiliarization and estrangement. Self-provocation functions analytically - understanding boundaries of current design imaginaries - and generatively - fostering creative friction to explore alternative possibility spaces. We present two self-provocation strategies and the methods we developed for them, and demonstrate through two case studies how these can be implemented in practice.
Transformationsprozesse wie demographischer Wandel, Nachhaltigkeit und Digitalisierung verändern die Wirklichkeit in den Städten vor Ort. Wie bleibt die Stadtverwaltung der Zukunft leistungsfähig? In einer Forschungskooperation nahmen Lehrende und Studierende der Fachhochschule Potsdam und Fach- und Führungskräfte der Landeshauptstadt Potsdam gemeinsam die Arbeitswelten von Kommunen in den Blick – mit besonderem Fokus auf das Spannungsfeld von Fachkräftemangel und den qualitativen Veränderungen von Kompetenzen einer Stadtverwaltung. Für die inter- und transdisziplinäre Projektarbeit von Studierenden des Masterstudiengangs Urbane Zukunft bildeten diese Entwicklungen den Ausgangspunkt, um konkrete Handlungsansätze für zukunftsfähige kommunale Arbeitswelten und Berufe zu entwickeln. Auf Basis ausführlicher Analysen entwickelten die Studierenden praxisnahe Szenarien, Modelle und Prototypen: neue Kompetenzansätze, KI-gestützte Wissenssysteme sowie Konzepte für Zusammenarbeit, Engagement und kulturelle Öffnung. Gerahmt werden diese Arbeiten durch die zugrundeliegenden Analysen des Forschungsprojekts, das Einblicke in Fachkräftebedarfe und sich wandelnde kommunale Berufsbilder bis 2030 im Raum Berlin-Brandenburg liefert.
Introduction.
While the nonlinear and interconnected nature of flowcharts makes them well-suited for representing and communicating complex narratives, flowcharts can appear impersonal, unapproachable, and disorienting, especially with a large number of elements. We propose an interaction technique for flowcharts that combines the narrative depth of linear storytelling with the autonomy of open-ended exploration.
Related Work.
This research builds on existing research on interactivity in data visualizations, sonic approaches to representing data, and flowcharts as a usually static genre of node-link diagrams conveying the structure and dynamics of nonlinear systems.
Design.
We introduce a flowchart interface that integrates audio narration, progressive disclosure, and animated transitions with interactive capabilities for navigating the content of the narration and flowchart. Readers of the interactive flowchart can choose between narrated or exploratory perspectives, switching between linear and nonlinear readings of the chart.
Demonstration.
We illustrate the technique’s design principles using the case study “I Want a Better Catastrophe”, a flowchart taking viewers on a journey through the diverging paths of our climate predicament.
Evaluation.
We study the potential of the technique by analyzing the reception of the case study through a feedback survey and anonymous activity logs, and by reflecting on the authoring of further interactive flowchart projects using an open-source template in the context of a university design course.
Conclusion.
The results of the evaluation demonstrate the potential of an interactive flowchart that combines linear storytelling and open-ended exploration. Additionally, several directions for further development as well as new design opportunities emerge from the project. We believe the outlined technique underscores a more general potential for the harmonization and integration of narrative and exploratory approaches into data visualizations.
As accuracy and performance increasingly dominate interactive systems, the temporal processes through which human understanding develops often recede into the background. Reasoning unfolds gradually through action, inspection, hesitation, and revision. In this paper, we investigate how embodied reasoning during physical calculation can be made perceptible by attending to how people act, look, and pause while interacting with a material artifact. We present a hybrid sensing prototype centered on a physical abacus that combines gaze, head movement, and bead manipulation to respond to moments of inspection as they emerge. Rather than displaying information continuously or inferring cognitive states, the system briefly surfaces numerical feedback when interaction patterns indicate checking or reflection. Findings suggest that usefulness depended less on what information was shown and more on when it appeared. We argue for interaction aligned with human sense-making rhythms, in which system responses follow observable reasoning activity without directing or accelerating it.