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User participation is often time and resource intensive for both the designers and participants. This is especially problematic in cases where designers and users are not co-located and have to travel to participatory meetings. Distributed co-design ...

Governments are currently endorsing and implementing strategies to establish diverse platforms fostering collaborative efforts among different stakeholders to achieve long-term policy goals in disaster risk reduction (DRR). However, there is an ongoing ...

Algorithmic recommendation is one of the most popular applications of machine learning (ML) systems. While the implication of algorithmic recommendation has been studied in the context of high-stakes domains such as finance and healthcare, there has ...

Maintainers are now self-sabotaging their work in order to take political or economic stances, a practice referred to as "protestware". In this poster, we present our approach to understand how the discourse about such an attack went viral, how it is ...

We present the Center for Inclusive Computing's data collection and visualization system, which enables computing departments to track and visualize their enrollment and course outcome data intersectionally and longitudinally. The system tracks the ...

While research suggests that workarounds are generative mechanisms for an organisation's innovation, it remains unclear what organisational structure facilitates workarounds’ emergence. This study investigates the organisational structure that ...

The study deals with evaluating the production system for manufacturing batik, then developing a scenario for improving the system.

The study aims to point out the possibilities of computerized simulations in designing, ...

Case study-based learning has been successfully integrated into various courses, including software engineering education. In the context of software design courses, the use of case studies often entails sharing of real successful or failed software ...

Scrum teams are at the heart of the Scrum framework. Nevertheless, an integrated and systemic theory that can explain what makes some Scrum teams more effective than others is still missing. To address this gap, we performed a 7-year-long mixed-methods ...

Bringing AI technology into clinical practice has proved challenging for system designers and medical professionals alike. The academic literature has, for example, highlighted the dangers of black-box decision-making and biased datasets. Furthermore, end-...

Building energy benchmarking is a proven energy management strategy that can positively quantify - and relatively quickly provide objective and reliable information on building energy use and the benefits of improvements. Energy benchmarking is a ...

Over the past decade, data science courses have been growing more popular across university campuses. These courses often involve a mix of programming and statistics and are taught by instructors from diverse backgrounds. In our experiences launching a ...

Real-world cases describing (product) variability in production systems are rare and often not accessible. Thus, researchers often use toy examples or develop fictitious case studies. These are designed to demonstrate their approach but rarely to ...

In this essay, I describe 10 critical complicating factors that directly affect the six basic modeling components of problem definition, assumptions, decision variables, objective functions, constraints, and solution approach. The proposed 10 contextual ...

As the field of technical and professional communication (TPC) has moved toward more inclusive perspectives, the use of decolonial frameworks has increased rapidly. However, TPC scholarship designed using decolonial frameworks lacks a clear, centralized ...

In this paper, we examine the impact of cyberattacks in an integrated transmission and distribution (T&D) power grid model with distributed energy resource (DER) integration. We adopt the OCTAVE Allegro methodology to identify critical system assets, ...

Therapist-operated robots can play a uniquely impactful role in helping children with Autism Spectrum Disorder (ASD) practice and acquire social skills. While extensive research within Human Robot Interaction has focused on teleoperation interfaces for ...

Within sustainable HCI research, we see a growing interest to study how designing interactive technology can improve the utilisation of renewable energy resources. In this case study, we explore the concept of energy communities and how technology can ...

While the literature on learning at scale has largely focused on MOOCs, online degree programs, and AI techniques for supporting scalable learning experiences, informal learning communities have been relatively underrepresented. None-theless, these ...

Reproducible research is becoming essential for science to ensure transparency and for building trust. Additionally, reproducibility provides the cornerstone for sharing of methodology that can improve efficiency. Although several tools and studies ...