Filippo Venturini - Academia.edu (original) (raw)

Papers by Filippo Venturini

Con riferimenti alla L.40/2005 e ss.mm.ii. e aggiornato alla Legge di Bilancio del 2019

Abuso del Diritto. Evoluzione - Interpelli - Responsabilità - Difese, 2019

Il presente lavoro è stato elaborato dalla “Commissione di Studio-Diritto Tributario” costituita ... more Il presente lavoro è stato elaborato dalla “Commissione di Studio-Diritto Tributario” costituita all‟interno dell‟Ordine dei Dottori Commercialisti ed Esperti Contabili di Arezzo su iniziativa del Consiglio dell‟Ordine e del suo Presidente Giovanni Grazzini.
La formazione di Commissioni di Studio ha lo scopo di promuovere studi, ricerche ed approfondimenti nell‟ambito dei settori e delle materie assegnate ed è un‟occasione importante per agevolare l‟attività di interpretazione delle leggi, la diffusione di conoscenza delle norme, degli strumenti e delle tecniche operative necessarie per lo svolgimento della professione di Dottore Commercialista ed Esperto Contabile.
Questo primo lavoro, coordinato dal Dott. Pietro Benedetti ha come finalità la divulgazione, tra tutti i membri dell‟Ordine, dell‟argomento dell‟Abuso di Diritto, esaminandone l‟attuale normativa, la più autorevole dottrina e la più significativa giurisprudenza sia nazionale sia comunitaria. Il tutto affrontato, discusso ed elaborato secondo le conoscenze ed esperienze dei componenti della Commissione.

Books by Filippo Venturini

La Business Intelligence a Supporto della Riqualificazione Urbana: Firenze Smart City, 2016

It’s the era of data driven economy: already abundant data from institutional sources have been s... more It’s the era of data driven economy: already abundant data from institutional sources have been supplemented by private ones, particularly with regard to the whole series of new devices that we carry in everyday life (smartphones, tablets, mp3...) able to detect our position, hence to geolocalize us.
Information Technology has paved the way for an unprecedented revolution in the field of statistics, allowing faster and more efficient detections, real-time too.
Internet of Things (IoT), a term that basically means the digitalization of data from the sensors potentially present in any subject (from shoes to electric meters), is creating, among other things, Digital Cities.
The ‘Digital Administration Charter’, marked the position taken by the Italian Government in favour of the digitization of P.A., particularly by encouraging the creation of open data available to the citizens.
This script, though gives great importance to data processing (particularly, geo-referenced ones) does not discuss only about Digital City but rather about one that Professor Carlo Ratti, MIT1 expert, defines Senseable City, where technology is only a means to the real Smart City: hence, the focus is upon man 's needs, not upon technology by itself.
In practice, the script takes some typical tools of Business Intelligence - in particular Geomarketing - and apply them to a world unexplored before by the economic analysis, that of the 'Smart City elaboration', i.e. the study about how to concretely build a city that can be said intelligent, particularly, through urban renewal.
We are hopeful this will be a starting point for a constant implementation that may drive to the establishment of a real Decision Support System for the ‘public sphere’ as well as those ones already existing for the private one, in order to facilitate the management, control and intervention on ‘urban processes’ to every Public Administration as it has been for long time to corporate ones.
We have choosen to talk about of the most active cities in the transition to the Smart City in Italy, Florence, dividing it into districts and analyzing the situation, firstly by an aggregate sight, then more and more particular.
Specific task is the upgrading of the most deprived district starting from the conclusions drawn by statistical analysis tools.
More precisely, we will choose a district that, based on built smart indicators, will result the less 'smart’ and then we will drive it on the average of the other districts, suggesting at the same time the policy actions to revive those 'suffering’ indicators.
For the choice of the district of our interest, firstly we will point out from the initial dataset some descriptive statistics by smart indicators and then we will move to multivariate analysis. We will use most advanced statistical tools such as the Principal Component Analysis to cluster the city into homogeneous areas on the basis of new indicators, in order to reveal an even more tight idea of the context.
To retrain the district we will use also another dataset about data by telephone cells, able to provide a dynamic analysis of gravitating people, which will supply another valuable information.

Con riferimenti alla L.40/2005 e ss.mm.ii. e aggiornato alla Legge di Bilancio del 2019

Abuso del Diritto. Evoluzione - Interpelli - Responsabilità - Difese, 2019

Il presente lavoro è stato elaborato dalla “Commissione di Studio-Diritto Tributario” costituita ... more Il presente lavoro è stato elaborato dalla “Commissione di Studio-Diritto Tributario” costituita all‟interno dell‟Ordine dei Dottori Commercialisti ed Esperti Contabili di Arezzo su iniziativa del Consiglio dell‟Ordine e del suo Presidente Giovanni Grazzini.
La formazione di Commissioni di Studio ha lo scopo di promuovere studi, ricerche ed approfondimenti nell‟ambito dei settori e delle materie assegnate ed è un‟occasione importante per agevolare l‟attività di interpretazione delle leggi, la diffusione di conoscenza delle norme, degli strumenti e delle tecniche operative necessarie per lo svolgimento della professione di Dottore Commercialista ed Esperto Contabile.
Questo primo lavoro, coordinato dal Dott. Pietro Benedetti ha come finalità la divulgazione, tra tutti i membri dell‟Ordine, dell‟argomento dell‟Abuso di Diritto, esaminandone l‟attuale normativa, la più autorevole dottrina e la più significativa giurisprudenza sia nazionale sia comunitaria. Il tutto affrontato, discusso ed elaborato secondo le conoscenze ed esperienze dei componenti della Commissione.

La Business Intelligence a Supporto della Riqualificazione Urbana: Firenze Smart City, 2016

It’s the era of data driven economy: already abundant data from institutional sources have been s... more It’s the era of data driven economy: already abundant data from institutional sources have been supplemented by private ones, particularly with regard to the whole series of new devices that we carry in everyday life (smartphones, tablets, mp3...) able to detect our position, hence to geolocalize us.
Information Technology has paved the way for an unprecedented revolution in the field of statistics, allowing faster and more efficient detections, real-time too.
Internet of Things (IoT), a term that basically means the digitalization of data from the sensors potentially present in any subject (from shoes to electric meters), is creating, among other things, Digital Cities.
The ‘Digital Administration Charter’, marked the position taken by the Italian Government in favour of the digitization of P.A., particularly by encouraging the creation of open data available to the citizens.
This script, though gives great importance to data processing (particularly, geo-referenced ones) does not discuss only about Digital City but rather about one that Professor Carlo Ratti, MIT1 expert, defines Senseable City, where technology is only a means to the real Smart City: hence, the focus is upon man 's needs, not upon technology by itself.
In practice, the script takes some typical tools of Business Intelligence - in particular Geomarketing - and apply them to a world unexplored before by the economic analysis, that of the 'Smart City elaboration', i.e. the study about how to concretely build a city that can be said intelligent, particularly, through urban renewal.
We are hopeful this will be a starting point for a constant implementation that may drive to the establishment of a real Decision Support System for the ‘public sphere’ as well as those ones already existing for the private one, in order to facilitate the management, control and intervention on ‘urban processes’ to every Public Administration as it has been for long time to corporate ones.
We have choosen to talk about of the most active cities in the transition to the Smart City in Italy, Florence, dividing it into districts and analyzing the situation, firstly by an aggregate sight, then more and more particular.
Specific task is the upgrading of the most deprived district starting from the conclusions drawn by statistical analysis tools.
More precisely, we will choose a district that, based on built smart indicators, will result the less 'smart’ and then we will drive it on the average of the other districts, suggesting at the same time the policy actions to revive those 'suffering’ indicators.
For the choice of the district of our interest, firstly we will point out from the initial dataset some descriptive statistics by smart indicators and then we will move to multivariate analysis. We will use most advanced statistical tools such as the Principal Component Analysis to cluster the city into homogeneous areas on the basis of new indicators, in order to reveal an even more tight idea of the context.
To retrain the district we will use also another dataset about data by telephone cells, able to provide a dynamic analysis of gravitating people, which will supply another valuable information.