Project description
Forecasting mobility patterns of the general population
Big Data can be used by stakeholders for planning and managing effective actions. Striving to make this a reality, the EU-funded DEMOGRAPHICA project envisions an algorithm that could analyse collective human behaviour and produce per-location, per-time-frame, actionable and reliable predictions fully customised to a client’s market needs. To forecast mobility patterns of the general population, the project makes use of socio-thermodynamics to analyse the complex, massive and anonymised data provided by mobile network operators. This will benefit vertical markets where an understanding of mobility patterns guides decision-making and can improve various key performance indicators for smart cities and a wide range of sectors.
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology civil engineering urban engineering smart cities
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks mobile network
- natural sciences computer and information sciences data science business intelligence
- natural sciences computer and information sciences computer security
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-2 - SME instrument phase 2
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1004 LAUSANNE
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.