As algorithmic decision-making and data collection become pervasive in higher education,
how can educators make sense of the systems that shape life and learning in the twenty-first …

Artificial intelligence (AI) applications can profoundly affect society. Recently, there has been
extensive interest in studying how scientists design AI systems for general tasks. However, it …

The rise of big data and smart sensing, with the promise of more educated and informed
decisions, has fuelled a shift towards more data-driven decision-making in local and …

In this paper, we describe how we used workshops as boundary objects that bridged the
dual goals of data infrastructure literacy and design. We organized 11 workshops with …

Fostering a sense of connection to a place and building relations between residents are
goals of community engagement. Engagement doesn't have to be serious, rather it can be …

We report a codesign effort to envision a community water quality data platform with local
stakeholders. We employed interviews, field observations, and hackathons through a 9 …

Citizen science project leaders collecting field data in a hyperlocal community often face
common socio-technical challenges, which can potentially be addressed by sharing …

This article is a response to scholars calling for conceptualizing local values of data justice.
Such values are grounded in the ways local communities utilize and understand data that …

This study looks at water quality monitoring and management as a new form of community
engagement. Through a series of a unique research method calleddesign hackathons', we …

This study investigates the use of citizen-generated data to optimize a large language model
(LLM) chatbot that gives nutrition advice. By actively participating in the data collection and …