108 research outputs found
Intentionality and design in the data sonification of social issues
Data sonification is a practice for conducting scientific analysis through the use of sound to represent data. It is now transitioning to a practice for communicating and reaching wider publics by expanding the range of languages and senses for understanding complexity in data-intensive societies. Communicating to wider publics, though, requires that authors intentionally shape sonification in ways that consider the goals and contexts in which publics relate. It requires a specific set of knowledge and skills that design as a discipline could provide. In this article, we interpret five recent sonification projects and locate them on a scale of intentionality in how authors communicate socially relevant issues to publics
Eywear design - Innovazioni di processo, di prodotto e di progetto nella produzione degli occhiali: il caso Killer Loop
Beyond Visualization
Between 1500 and 1800, the rapid evolution of postal communication allowed ordinary men and women to scatter letters across Europe like never before. This exchange helped knit together what contemporaries called the ‘respublica litteraria’, a knowledge-based civil society, crucial to that era’s intellectual breakthroughs, formative of many modern values and institutions, and a potential cornerstone of a transnational level of European identity. Ironically, the exchange of letters which created this community also dispersed the documentation required to study it, posing enormous difficulties for historians of the subject ever since. To reassemble that scattered material and chart the history of that imagined community, we need a revolution in digital communications. Between 2014 and 2018, an EU networking grant assembled an interdisciplinary community of over 200 experts from 33 different countries and many different fields for four years of structured discussion. The aim was to envisage transnational digital infrastructure for facilitating the radically multilateral collaboration needed to reassemble this scattered documentation and to support a new generation of scholarly work and public dissemination. The framework emerging from those discussions – potentially applicable also to other forms of intellectual, cultural and economic exchange in other periods and regions – is documented in this book
Ways of Seeing Data: Toward a Critical Literacy for Data Visualizations as Research Objects and Research Devices
Gray, Bounegru, Milan and Ciuccarelli contribute towards a critical literacy for data visualizations as research objects and devices. The chapter argues for methodological reflexivity around the use of data visualizations in research as both instruments and objects of study. The authors develop a heuristic framework for studying three forms of mediation which data visualizations enact – drawing on research and insights from new media studies, science and technology studies, the history and philosophy of science, cultural studies and critical theory. The chapter illustrates these three forms of mediation with an analysis of visualizations of public finances from civil society organizations, media outlets and public institutions. The authors conclude with an argument towards a broader program of critical literacy for reading and doing research with data visualizations
Developing evaluation models for patient-centeredness
This paper presents the process and outcomes of a three-month lab activity conducted in preparation for and during the 2024 DRS. Our research focused on developing a framework for an evaluation system designed to integrate patient-centered care (PCC) principles into orthopedic practices. PCC emphasizes the importance of improving health outcomes and fostering inclusivity for individual patients, as healthcare systems often grapple with challenges like fragmented care. Through a collaborative design research lab (DRS) partnership among Polifactory (Politecnico di Milano-Department of Design), the Center for Design at Northeastern University, and healthcare experts at local healthcare institutions (IRCCS Galeazzi and Massachusetts General Hospital), we identified key factors influencing patient-centeredness. Interviews with healthcare professionals and analyses of orthopedic care processes informed the creation of evaluation models aimed at enhancing and evaluating patient-centeredness in order to foster a more inclusive healthcare environment
Sena Gallica: nuovi scavi a Villa Tarsi e prime considerazioni sulle fasi tardoantiche-altomedievali dell'antico centro.
Shaping Public Sector Digital Transformation through Design. Translation approaches on training programs as multi-stakeholder ecosystems
In the evolving landscape of public sector digital transformation, the integration of design thinking and stakeholder engagement presents a pressing challenge and a valuable opportunity. As a response to this challenge, there is a growing interest in the implementation of training programs within the theoretical framework of translational practices. This study adopts an organisational lens and an analytical framework to look into three instances of design translation in multi-stakeholder ecosystems. Drawing insights from a three-year exploration, it examines the dynamics within two ecosystems: the multidisciplinary and multi-operational partners responsible for designing and executing the training program, and the program participants. By investigating these instances, this study sheds light on favourable or hindering circumstances in the transition of design to the public sector digital transformation within collaborative, multi-stakeholder environments
I depositi di anfore lungo il litorale fermano: nuovi dati per la produzione e commercio del vino piceno, p. 1-6 FOLD&R.
AI-against-design map: A systematic review of 20 years of AI-focused studies in design research
In the rapidly evolving field of Artificial Intelligence (AI) in design, identifying key subjects and their development over time can be challenging. This study addresses this challenge through a systematic review of AI in design literature over the past 20 years, aiming to discern major academic trajectories. To manage the fragmented nature of the literature, we developed the ‘AI-againstdesign’ method, an interpretative approach capable of identifying the scholars’ position, intended as Position 1⁄4 Place W Proposition, which creates a coherent body of literature and highlights key discourse patterns. This approach led to the development of the ‘AI-against-design’ map, which provides insights into current trends and serves as a tool for exploring future research directions. The scalability of this method and map allows for the future inclusion of additional sources and adaptation to other studies. This framework promises to enhance understanding and stimulate new academic inquiries into AI’s role in design
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