1,720,989 research outputs found
Data in design: How big data and thick data inform design thinking projects
Scholars and practitioners have recognized that making innovation happen today requires renewed approaches focused on agility, dynamicity, and other organizational capabilities that enable firms to cope with uncertainty and complexity. In turn, the literature has shown that design thinking is a useful methodology to cope with ill-defined and wicked problems. In this study, we address the question of the little-known role of different types of data in innovation projects characterized by ill-defined problems requiring creativity to be solved. Rooted in qualitative observation (thick data) and quantitative analyses (big data), we investigate the role of data in eight design thinking projects dealing with ill-defined and wicked problems. Our findings highlight the practical and theoretical implications of eight practices that differently make use of big and thick data, informing academics and practitioners on how different types of data are utilized in design thinking projects and the related principles and practices
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Design Policy Issues N° 4
Toward an European platform for design Policy.
DeEP has finally delivered its objective. Understanding the efficacy of design in innovation policy is currently one of the challenges facing new socio-economic development in Europe.
The evaluation of policies is an outstanding issue that is difficult to interpret, even in established areas like measuring innovation, where indicators and statistical models already exist.
An important issue is therefore the lack of comparative data relating to design innovation and the almost total lack of data regarding the quantitative description of design policies in terms of outputs and outcomes.
The main question leading the development of the DeEP Evaluation Tool has been: how to enable data comparison and allow evaluation of design innovation policy effectiveness?
The DeEP Tool aims at collecting specific knowledge, albeit incomplete and imperfect, which can fuel a monitoring system for design innovation policies.This could support policy makers to collect data for macro and micro national performance using a web-tool which makes knowledge accessible to the European design driven innovation community.
Design Policy Issues 4 describes the overall strategy, the approach, the structure and the main results of the DeEP Evaluation Tool, envisioning the benefits for the European Commission and the main answers to the European Design Driven Action Plan
Design Policy Issues N° 1
Design is becoming a strategic lever for innovation policies in Europe. Together with innovation, it is feeding the sustainable development of private and public sectors for increasing competitiveness, growth and jobs. In particular, the European Commission has promoted the EDII Initiative to support the uptake of design culture and through this nurture the EU socio-economical capital.
DeEP – Design in European Policies, is one of the funded EDII projects focused on mainstreaming an evaluation culture within design policies. This stands on multiple souls: the link between design and innovation, the awareness around design policies, and the reinforcement of a policy evaluation culture. As part of this, the forecast scenario envisions tools to orienteer policy makers in their future tasks, helping them understand the potential of design in business innovation. The complex path envisioned will surely take longer than a two-years project to be fulfilled. Nevertheless, we wish for this to be the first step toward a design-driven funding/evaluation system, based on radical efficiency, open data, and transparency.
DeEP envisions an open, shared, transparent, generative policy evaluation system for design policies. This is our overarching challenge driving an exciting research journey that we hope will ultimately aim at more effective policymaking
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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