1,720,967 research outputs found
THE ATTRACTIVENESS OF COUNTRIES FOR FDI. A FUZZY APPROACH
Full text linkThis paper presents a new method for measuring the attractiveness of countries for FDI. A ranking is built using a fuzzy expert system whereby the function producing the final evaluation is not necessarily linear and the weights of the variables, usually defined numerically, are replaced by linguistic rules. More precisely, weights derive from expert opinions and from econometric tests on the determinants of countries’ FDI. As a second step, the view-point of investors from two different investing economies, the UK and Italy, are taken into account. Country-specific factors, such as the geographic, cultural and institutional distances existing between the investing and the partner economies are included in the analysis. This shows how the base ranking changes with the investor’s perspective
The interaction between parents and children as a relevant dimension of child well being. The case of Italy
No full textThis paper follows in the study of the building of children' social interaction with parents using the capability approach. Parents' role in child well being is well documented by evolutionary psychology and psychoanalysis, here we will try to put in relation and to come to a measure of different factors that can affect its development. We propose a fuzzy expert system to measure this capability both at a theoretical and empirical level. The applied part of the paper use a data set based on a matched data source of ISTAT (Italian National Statistical Office 2008) multipurpose survey on family and on children condition in Italy to recover information on children’s education, the socio-demographic structure of their families, child care provided by relatives and parents according to the type of activities in which the children are involved, and Bank of Italy Survey on household income and wealth year 2008 (SHIW08) to control how family income may enter in the final evaluation This is one step of a more complex system allowing for a richer set of indicators and of dimension of child well being as well as for their interaction
Sen's Capability and Functionings: A fuzzy system to evaluatehow parents interact with their children.
No full textThis paper follows in the study of the building of children' social interaction with parents using the capability approach. Parents' role in child well being is well documented by evolutionary psychology and psychoanalysis, here we will try to put in relation and to come to a measure of different factors that can affect its development. We propose a fuzzy expert system to measure this capability both at a theoretical and empirical level. The applied part of the paper use a data set based on a matched data source of ISTAT (Italian National Statistical Office 2008) multipurpose survey on family and on children condition in Italy to recover information on children’s education, the socio-demographic structure of their families, child care provided by relatives and parents according to the type of activities in which the children are involved, and Bank of Italy Survey on household income and wealth year 2008 (SHIW08) to control how family income may enter in the final evaluation This is one step of a more complex system allowing for a richer set of indicators and of dimension of child well being as well as for their interaction
IgM anti-SARS-CoV-2-specific determination: useful or confusing? Big Data analysis of a real-life scenario
Full text linkThe interaction between parents and children as a relevant dimension of child well being. The case of Italy
Full text linkGender equality in tertiary education and research institutions. An evaluation proposal.
No full textGender inequality in research and innovation is well documented (European Commission, 2016) and tools to
measure and monitor it have been proposed and tested within EU funded projects as GenderTime (Badaloni & Perini, 2016)
or Effective gender equality in research and academia (EGERA) (http://www.egera.eu/). The evaluation proposal at the heart
of this contribution has been developed within EQUAL-IST project (Gender Equality Plans for Information Sciences and
Technology Research Institutions) funded under the European Union's Horizon 2020 research and innovation programme
that aims at introducing structural changes in research organizations to enhance gender equality within Information System
and Technology Institutions. The dimensions and indicators used to measure gender equality are consistent to those that
the literature on gender equality in research and academic institutions have shown to be significant. Our contribution shows
an innovation in the choice on how to measure gender equality by using Fuzzy Multi Criteria Decision Analysis (FMCDA). We
propose a Fuzzy Expert System, a cognitive model that, by replicating the expert way of learning and thinking, allows to
formalize qualitative concepts and to reach a synthetic measure of the institution's gender equality (ranging from 0 to 1
increasing with gender equality achievements) that can be then disentangled in its different dimensions. The latter
characteristic of the model that we propose can be fruitfully used by policy makers and Equal opportunity officers in order
to detect and address the critical elements in the organization and carry out changes to improve gender equality. A first
application of the model has been experimented within the EQUAL-IST project and is available for other universities and
research institutions wishing to obtain an assessment of their organization in terms of gender equality. Further developments
of the model, together with its wider implementation, include the assessment by using fuzzy logic of gender equality policies
and institutional factors affecting gender equality within the institution
Measuring Gender Equality in Universities
No full textThe paper proposes a fuzzy expert system for gender equality evaluation in tertiary education that has been experimented in 6 European universities in Italy, Lithuania, Finland, Germany, Portugal, Ukraine within the EQUAL-IST Horizon 2020 project with the goal to design and implement Gender Equality Plans (GEPs) for IST Research Institutions. We propose a Fuzzy Expert System (FES), a cognitive model that, by replicating the expert way of learning and thinking, allows to formalize qualitative concepts and to reach a synthetic measure of the institution’s gender equality (ranging from 0 to 1 increasing with gender equality achievements), that can be then disentangled in different dimensions. The dimensions included in the model relate to gender equality in the structure of employment (academic and non academic) and in the governance of the universities, to the equal opportunity machinery and to the work-life balance policies promoted by the institutions. The rules and weights in the system are the results of a mixed strategy composed by gender equality experts and by a participatory approach that has been promoted within the EQUAL-IST project. The results show heterogeneity in the final index of gender equality and allow to detect the more critical areas where new policies should be implemented to achieve an improvement in gender equality. The value of the final gender equality index resulting from the application of the FES is then compared to the gender equality perceived by each institution involved in the project and will be used to improve also the awareness in gender gap in important dimensions in tertiary education setting
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“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
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