Summary
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.
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.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/872249 |
| Start date: | 01-09-2019 |
| End date: | 31-08-2021 |
| Total budget - Public funding: | 2 039 120,00 Euro - 1 427 384,00 Euro |
Cordis data
Original description
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.
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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