Opendata, web and dolomites

DEMOGRAPHICA SIGNED

ACTIONABLE BUSINESS INTELLIGENCE UPON POPULATION MOBILITY PATTERNS ANALYSIS

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "DEMOGRAPHICA" data sheet

The following table provides information about the project.

Coordinator
KIDO DYNAMICS SA 

Organization address
address: AVENUE DE SEVELIN 46
city: LAUSANNE
postcode: 1004
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 2˙039˙120 €
 EC max contribution 1˙427˙384 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KIDO DYNAMICS SA CH (LAUSANNE) coordinator 1˙427˙384.00

Map

 Project objective

What if an algorithm could analyse collective human behaviour and produce per-location, per-time-frame, actionable and reliable predictions fully customised as per each clients’ market needs? This would benefit all those verticals that depend on mobility patterns to plan effective actions. Marketers would count with tools to design efficient and viral advertising, awareness or fundraising campaigns. Smart- cities/Municipalities’ mobility and tourism responsibles would count with scientific tools to effectively put into practice their politics. Toll-roads planners/managers would count with reliable tools to manage actions. DEMOGRAPHICA makes use of socio-thermodynamics to analyse the complex, massive and anonymised data (i.e. Call Detail Records -CDR-) provided by Mobile Network Operators (MNOs) to forecast mobility patterns of general population. This allows us to understand and reliably forecast citizens’ mobility patterns without violating their privacy. This is useful in many verticals where understanding these mobility patterns is essential to drive informed decisions and improve different KPIs (key performance indicators), from profitability to service level, especially in the whole world of smartcities, and particularly in some niches of this big market such as Transportation, Tourism and Out-of-Home Marketing, but it also has application in other sectors such as Health (epidemics evolution prediction), energy or cybersecurity, to mention a few.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DEMOGRAPHICA" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "DEMOGRAPHICA" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

Dyme (2019)

Dyme gives its users complete control over their financial situation. The Dyme application provides insight into users’ spending and subscriptions, and lets users cancel, negotiate, or switch any cont

Read More  

DeltaQon (2019)

IOT and cloud computing for online medical analysis service platform

Read More  

Totem Spoon (2019)

Interactive Digital Signage with emotional intelligence for smart cities

Read More