Despina

Despina DESPINA is the lab on Big Data Analytics at the Department of Economics and Statistics of the Università degli Studi di Torino.

We conduct exploratory and applied research into collection, integration, management, and analysis of data related to business, economy, and society. Despina merges different expertise able to explore on the verge of ICT, social sciences and mathematical sciences to provide first-class theoretical and applied research. Despina has implemented collaborations with its four main constituencies. We pr

omote research cooperation and exchange with scholars and universities in Italy and abroad; we facilitate spillovers with companies and business partners; we support public administrations in policy formulation; and we stimulate public debate and dissemination of good practices in data management and analytics. With the fast-evolving technological reality we live in, interest in an area called “Big Data” has increased exponentially, yet no clear definition of what “Big Data” is took shape. For us, Big Data is an articulate emerging framework which allows a different way to improve knowledge and understanding of social and economic phenomena. Over the last decade, advances in the collection, analysis, and application of data have transformed the way decisions are made in a wide variety of fields. Data-driven economy is not only changing consumer behaviour and business models, but will increasingly affects society and our interaction with real and digital world.

Sei interessato all'economia della complessità e dell'innovazione? Vuoi scoprire di più sulle applicazioni di network an...
27/09/2019

Sei interessato all'economia della complessità e dell'innovazione? Vuoi scoprire di più sulle applicazioni di network analysis e machine learning agli ecosistemi innovativi?
Dal 7 al 9 ottobre 2019 si terrà a Torino, negli spazi di Talent Garden Fondazione Agnelli, la conferenza “Tracking Innovation Trajectories in the Complex Economy. Network analysis and big data for risk mitigation”.

L'evento esplorerà tecniche quantitative per prevedere le traiettorie dell’innovazione e valutare i relativi impatti socio-economici. I partecipanti potranno assistere a relazioni da parte di studiosi di rilievo da tutto il mondo (CERN, Oxford, ETH Zürich, UC Berkeley, Bogotà, Yonsei University – tra le altre) e prendere parte a due workshop esclusivi
uno su Complexity Economics, organizzato dal NAEC Innovation Lab dell'OCSE;
uno su Innovation Mapping, organizzato da Nesta UK, che analizzerà alcuni metodi quantitativi di data visualization.
Le registrazioni per la conferenza sono aperte fino al 4 ottobre. Maggiori info sul sito della conferenza.

L’evento è promosso e organizzato dal CEST in collaborazione con INET, Despina — Big Data Lab (Università di Torino), EAEPE e Politecnico di Torino. Sponsorizzano l'iniziativa: Nesta UK, IN Srl, OCSE, Talent Garden Fondazione Agnelli.

It is now quite well accepted that innovation can be modelled as an evolutionary process in a complex space involving patents, countries, innovators, assignees, companies and products. Forecasting innovation trajectories and emerging value chains would be of paramount importance to mitigate and mana...

Presentazione di SEED per futuri studenti ma aperta a tutti!
07/06/2019

Presentazione di SEED per futuri studenti ma aperta a tutti!

19/03/2018
02/02/2018

Call for APPLICATIONS for the III edition starting August 2018 is NOW open at: www.madas.carloalberto.org

MADAS Master in DATA SCIENCE for Complex Economic Systems is a one year full-time Master program offered by the prestigious Collegio Carlo Alberto in Torino (Italy).
Taught in English MADAS takes a path-breaking perspective on knowledge from Machine Learning to real problems of social science and innovation economics with dedicated labs on agent-based modelling and network analysis, econometrics, marketing and risk, IoT.
The course is composed of more than 400 hours of teaching plus seminars plus internships in partner companies.
cohort 2017/18

08/11/2017

A big picture view of the state of data science and machine learning that shares who is working with data, what’s happening at the cutting edge of machine learning across industries, and how new data scientists can best break into the field.

15/06/2017

On line sono disponibili moltissime soluzioni completamente gratuite che permettono di impratichirsi con i Big Data.

15/02/2017

MADAS is a one year full-time postgraduate program (II level Master Degree) taught in English that welcomes young scholars and professionals with different backgrounds (e.g. economics, physics, computer science). MADAS takes a path-breaking perspective on economics by focusing on nonlinearities of p...

13/02/2017

Nel mercato Iot sono presenti pochi grandi gruppi aziendali che operano dentro una moltitudine di mercati e una grossa parte della competizione avviene esclusivamente tra loro. Le piccole e medie imprese sono dunque confinate in una coda della domanda

Do not miss the next Nexa Conference on Internet & Society 2016 organized by Nexa Center for Internet & Society that wil...
28/11/2016

Do not miss the next Nexa Conference on Internet & Society 2016 organized by Nexa Center for Internet & Society that will take place December 2nd at Politecnico di Torino.
This year the theme is "Internet of Things: heaven or hell?"
Experts will discuss the interface between the IoT and the circular economy, focusing on two parallel tracks: the risks embedded in the new era of the Internet, and IoT as a potential facilitator of the circular economy.
Massi Milian O Nuccio will be there discussing IoT and competitiveness, monopoly and price discrimination.


http://www.despina.unito.it/content/nexa-conference-internet-society-2016-internet-things-heaven-or-hell

Friday, December 2nd 201

Indirizzo

Turin
10153

Notifiche

Lasciando la tua email puoi essere il primo a sapere quando Despina pubblica notizie e promozioni. Il tuo indirizzo email non verrà utilizzato per nessun altro scopo e potrai annullare l'iscrizione in qualsiasi momento.

Contatta L'università

Invia un messaggio a Despina:

Condividi