Data work is increasingly collaborative and multidisciplinary, yet teams struggle with mismatched semantics, uneven data literacy, and variable trust in automation. Large Language Models (LLMs) now assist with cleaning, integration, annotation, and querying, but their role in mediating collaboration, aligning goals, translating vocabularies, coordinating decisions, remains underexplored. This workshop examines LLMs as collaborators, in data-intensive workflows. We take Interdependence Theory as a starting lens to reason about dependence, mutual responsiveness, and shared outcomes in human-LLM interaction, while explicitly reasoning on its fit and considering alternative or complementary frameworks. Through interactive discussions and case-driven activities, we will surface core principles, design considerations, and evaluation criteria (e.g., trust, coordination, equity, transparency) for human-LLM collaboration. Expected outcomes include an initial conceptual framework, high-level guidance for practice, and a forward-looking research agenda to inform the design and assessment of collaborative, responsible LLM-enabled data workflows.

The EmpathiCH Workshop aims to blend a diverse set of expertise to expand upon the nascent field of Empathy-Centric Design. Building on the discussions in previous editions of the workshop, this iteration invites contributions which scrutinize the use of empathy as a design principle in digital interfaces. We encourage inquiry in a number of research dimensions: examining the multifaceted nature of empathy; establishing both the requirements and shortcomings of empathy in design research; discussing key post-human stakeholders in digital interfaces (social groups, causes, digital avatars, artificial agents etc.); and expanding the scope of empathy research beyond preliminary perspective-taking. The workshop, structured as a combination of author panels, expert discussion, and interactive activities, provides the ideal venue to foster a critical discussion on the nature of the suitability of empathy in digital design, especially in the rapidly approaching context of its role in post-humanist HCI.