Trusted Smart Statistics Strategy

WP L Final Meeting

London

3-5 June 2019

Principles of Trusted Smart Statistics

• Multi-source statistics

• Multi–purpose data sources

• Layered organisation: the hourglass model

• Modular methodological frameworks

• Pushing computation out

• Use data without sharing

Multi-source statistics……based on multi-purpose data

Classes of Sources

Mobile Phone

Network Data

TourismDemography Regional Business Labour Transport

Statistical Domains

……

Satellite Images

Online Social

Network Data

Online Platforms

Mobile Phone

Network Data

SurveysAdministrative

Registers

Hourglass model

StatisticsS-Layer

DataD-Layer

ConvergenceC-layer

Embeds raw data •Data Heterogeneity•Diversity of data collection methods•Complexity of data semantics•Multiple data holders

Definitions of statistical indicators•Heterogeneity of applications & use-cases•Diversity of statistical definitions•Complexity of statistical objects•Multiple NSIs

Few common definitions

Domain of ExpertiseStatisticians, NSI

Domain of ExpertiseTelco Engineers, MNO

StatisticsS-Layer

MNO DataD-Layer

ConvergenceC-layer

Few common definitions

…

…

Multiple data sources: MNO#1, MNO#2…Different data types: CDR, signalling data, …

Multiple data consumers: ESTAT, NSI#1, NSI#2…Different subject matter experts & use-cases: tourism, population, transport, …

rawmicrodata

standardized/uniformedmicrodata

aggregates,macrodata

Modular meth. frameworks

society,economy

policy, media,researchSO

Public sector

collection processing

Handle the new in new waysPush computation out (partially)

processingprocessingprocessingprocessing

processingprocessingprocessingprocessingprocessingprocessingprocessingprocessing

Private sector

processing

Trusted Smart Statistics

Sharing input data Using input data on per-purpose basis

Statistical Office

agreement #1

agreement #2

query #1

query #2

Statistical Office

agreement

data importquery #1

query #2

query #3

Service Priority Areas

• Inferences from data on the web

• Trusted Smart Surveys

• Mobile network operator data for human presence and mobility

• Transport and logistics data

• Statistics from smart systems (incl. energy)

• Earth observation

Inferences from data on the web

• Online job vacancies

• Skills, job vacancies

• Enterprise websites

• Business registers, jobs, information society

• Wikipedia

• EuroGroups Register

Smart Surveys, Citizen Statistics

interactive dataresponses to queries

passive datacollected by sensors(e.g. position tracks,activity traces)

Statistical SystemSecure

Private Computing

Give backClose the loop

It seems you are travellingtodayon the Belgian coast.Is this trip related to yourwork?

AI

Mobile Networks

Develop a unified methodological view:

Reference Methodological Framework [RMF]for processing MNO data for Official Statistics

in order to:

• facilitate interworking MNO-ESS at technical & organisational level

• ensure consistency, reproducibility, evolvability and portability of processing methods (between MNOs and SOs)

• provide concrete basis to clarify legal aspects (GDPR)

• enable multi-MNO analysis (fusion of data from different MNO)

Mobile Networks

MNO 1

NSI A

MNO 2 MNO 3

NSI B

MNO 4

NSI C

Convergence Layer

researchinstitution

scrutinyvalidation

improvementinnovation

commercial analyticsproduct

privatecompany

non-personaldata

processingcomponents

C-layer as a common base for statistical usage

Transport and logistics

Use of tracking data to provide long-distance transportation and logistics.

Initial focus on Ship position data

Extension to air andrailway traffic data

Flash estimates of economic indicators

Trusted statistics from smart systems

• Proofs of Concept and pilots

What does “Smart” mean?

non-smart objects

• Set of passive objects House: lamps, heater, windows

Car: wheels, brakes, lamps

• Analog or digital, non-interacting

• Regulated by humans

smart system

• One coherent system of active objects• With sensing, actuation,

communication capabilities

• Interacting with a central control & “reasoning” unit

• Self-regulating

• Delivering a “service” to humans• Comfort, Mobility

Trusted Smart Statistics

Trusted Smart Statisticsservice centres

Community of experts

Web Intelligence

Online job vacanciesWikipediaEnterprise websitesInternet

platforms…

Trusted Smart Surveys

Time useHousehold

budget…

Mobile Network Operator

Data

Human presence and movements

Tourism…

Transport and

Logistics

Vessel trafficAir traffic

Railway traffic…

Smart Systems

Smart farmingSmart devices

IoT for smart citiesSmart traffic

Earth Observation