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Work Package 1 Management and Practical Aspects

Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

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Page 1: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Work Package 1 Management

and Practical Aspects

Page 2: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Task 1.1: Executive Management (UAB with support of all WP leaders) (M1-48). Task 1.2: Financial Management (UAB with support of all WP leaders) (M1-48). Task 1.3: Scientific Coordination Support (UAB with support of all WP leaders) (M1-48). Task 1.4: Coordination/Synergies with Relevant EU Projects and Other Initiatives (UAB with support of all WP leaders) (M1-48).

Page 3: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

This WP is dedicated to the management and coordination of the activities of the project, including overall legal, scientific, financial and administrative issues. This includes: -Management, administrative and financial procedures; -Financial transactions at the consortium level; -Project progress and outputs; -kick-off and progress meetings, Advisory Board meetings, and General Assembly; -Technical and financial reporting.

Page 4: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Carefully plan your travel budget Other direct costs

• Certificate on the Financial Statement;

• Open access publications;

• Conferences & workshops (dissemination) (travel and registration);

• Scheduled project meetings;

• Scheduled training session;

• Ad-hoc task-force meetings.

Page 5: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Reporting Periods

Coordination will sollicit information for technical and financial reporting

More info available at: H2020 Online Manual & AMGA http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/h2020-amga_en.pdf

Reporting Period Starting Month Ending Month Duration (M)

1 1 12 12

2 13 30 18

3 31 48 18

Page 6: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Yearly Progress Meetings

Any candidates to host the first progress meeting?

Progress meeting Month Date Observation

First 12 May 2017 Advisory Board Meeting

Second 24 May 2018

Third 36 May 2019 Advisory Board Meeting

Final 46 March 2020

Page 7: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,
Page 8: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

More information on Management Structure:

Magic Consortium Agreement

Magic Grant Agreement (Annex1 DoA Part B)

http://felipsoriano.com/magic-nexus/documents/ (http://magic-nexus.eu/documents)

Page 9: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Task Force/Work

Package WP2 WP3 WP4 WP7

Communication and visibility

GIS

Science for

Policy Energy

Water

Agriculture/food

WP1

Page 10: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Data management: Ansel Renner; Communication and Visibility, Dissemination: Samuele Lo Piano; Synergies Plans: Violeta Cabello; GIS: Tarik Serrano; Gender Issues: Maddalena Ripa; Thematic:

Science for Policy: Zora Kova; Water: Violeta Cabello; Energy: Mario Giampietro; Agriculture and food: Tarik Serrano.

UAB Taskforces – first contact point/responsible

Page 13: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Contacts – netiquette

- Subject: [MAGIC]

- Dedicated WP/taskforce/issue: [ENERGY], [WP4], [MINUTES], etc.

Page 14: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Moving toward Adaptive Governance

In Complexity: informing NEXUS security

kick-off meeting

.: WP3 wrap-up :.

[email protected] [email protected]

ICTA 15 june

2016

MAGIC LOGO

(we have to

vote for)

Page 15: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

WP3 objectives [M1— M48]

• This WP will design and implement applications of the

Nexus Information Space (NIS) capable of guaranteeing

the coherence over non-equivalent quantitative

representations of feasibility, viability and desirability of

socio-ecological systems in relation to the nexus across

different scales and different dimensions.

✧ SYSTEM: is the supporting technology that provides the data on

flow and fund, implements grammars (the expected relationships

between components of the system in a particular context).

✧ SPACE: handles the technical information system, the databases,

the GIS, the visualization, the info-graphics, and the video aspects

of MAGIC.

.

Page 16: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

WP3 objectives [M1— M48]

• This WP will deal with technical aspects making it possible to

carry-out a quality check on the integrated representation

across scales associated with the chosen Quantitative Story

Telling.

• The WP3 will solve the problem of how to generate different

types of quantitative analysis (individuating relevant data and

combining chosen models) on the basis of the grammars

developed in WP4.

• Fundamental is the contribution of WP4 [M1-M12] leader

UAB with support of all partners, specifically the task 4.2:

Making grammars.

.

Page 17: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Which expertizes we can rely upon?

Twente

water footprint

water accounting

grammar

Bergen

post-normal science

data for governance

C.A.

carbon footprint

climate change

water availability

UniNA

statistics

ML & visualization

UAB

assembling nexus

MuSIASEM

ITC

data engineering

water/energy

JRC

Sensitivity and QST

participatory processes

Wageningen

food production

crops & livestock

Hutton

land use

geography & GIS

Work package number 3 Start Date or Starting Event M1 - M48

Work package title Nexus Information Space

Participant number 7 9 1 2 3 4 8

Short name of UNINA ITC UAB JHI WUR UT UiB

Person/months per participant: 48 32 18 4 14 24 2

Page 18: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

STAD team @UniNA www.stad.unina.it/2016

STAD is “city” in Dutch.

[Statistics, technology, analysis of data] is a “research city” of University

of Naples Federico II in the flat world where a new "citizen" can

aggregate from almost anywhere.

This city contains a lot of "buildings" to create and work out ideas, provide

statistical science, transfer technology, analyze data with a meta-

disciplinary approach, "crossing the bridge" towards other scientific

communities.

tad

Massimo Aria

Antonio D’Ambrosio Roberta Siciliano Michele Staiano

Page 19: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

@UniNA expertise being leader WP3

• Statistical learning, Data science, Big data,

Multidimensional Data Analysis, Visualization

• Decision-Support Systems under Total Quality

Management perspective

• Data edits, Data warehouse, Missing data

• Abstract and conceptualize models

tad

Page 20: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Tasks of WP3

Task 3.1: Data Management Plan (UNINA with support of ITC and

UAB) [M1-M6]

Define a Data Management Plan on the structured metadata repository

maintained by the consortium, the various methods of formalization used in the

different case studies proposed in WP4, WP5, WP6, and the management of the

data generated during the project, in accordance with the “Guidelines on Data

Management in Horizon 2020”.

Task 3.2: Identifying Data and Populating and Structuring

Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU, UiB)

[M1-M48]

Identification of statistical, scientific and other databases at local, regional,

national and EU levels required for the chosen implementation of the NIS in the

various case studies and creation of a scheme for the deployment of a structured

metadata repository to be maintained by all partners in order to safely share the

data sources required to formalize the various grammars selected for the specific

assessments.

Page 21: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Tasks of WP3

Task 3.3 Supporting the Activities of WP4, 5 and 6 (UNINA with support

of ITC, UAB, HUTTON, WU, UT, UiB) [M6-M48]

Assisting the activities of WP4, WP5 and WP6 in the definition and integration of

different metrics, the integration of different analytical frameworks, the design and

integration of databases and visualization tools according to the chosen QST. The

experience accumulated during the project will be used to define a tool-kit making

it possible a quantitative characterization of different applications of the nexus

framework developed in WP4.

Task 3.4 Visualization (UNINA with support of ITC, UAB, HUTTON, WU,

UT, UiB) [M12-M48]

Development and testing of a system of integrated visualization of the quantitative

results about the feasibility, viability and desirability in the selected case studies to

be used for presenting the results of the project in the Nexus Dialogue Space

(WP2), and to be included in the Nexus Knowledge Hub (WP7).

Page 22: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

UniNA

Cooperate to deliver such

tools...

ITC

Statistics

Page 23: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Statistical Learning within TQM

Plan Do

Check

Act

survey design data collection

data validation

imputation

data selection data transformation

data organization

pre-processing

method selection data processing

statistical analysis

dissemination

I when data are not

available and need

to be collected

II when data are

accessible and

need to be selected

III when datasets

are available and

need to be

processed

Page 24: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

conceptual architecture

Nexus Information Space

Data sources Models

Support

ing t

echnolo

gie

s

Nexus Information System

Compiler

Page 25: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Visualisation

Page 26: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

D3.1 Data Management Plan on the structured metadata repository

maintained by the consortium, the various methods of

formalization used in the different case studies proposed in

WP4, WP5, WP6, and the management of the data generated

during the project (M6)

D3.2 Report on visualization methods developed in the NIS (M42)

D3.3 Report on the datasets and tools used to support the

applications of Quantitative Story Telling (M48)

MS15 Data Repository Responsible: 7 – UNINA month 12

Basic data repository to support the applications of WP4,5, and 6 for

use by all consortium members. To be in place by month 12, and then

gradually expanded during the course of the project

Deliverables & Milestones

Page 27: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,
Page 28: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

WP3 specific activities we are in charge of:

Compilation and catalogue of existing databases: we are

hiring two junior researcher (one dedicated to data

sources and one to models and their surrogates)

NIS relational structuring: we will structure metadata

and schemata for integration of sources (e.g. CIM★)

Visualization and coordination with web platform:

past experience and sub-contracting the last year.

Develop adapters with the tight collaboration of ITC:

we already started to cooperate (active exchanges).

Action plan

Page 29: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Z O R A K O V A C I C , T A R I K S E R R A N O

WORK PACKAGE 4

Page 30: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

WP3 NEXUS Information Space

NEXUS Dialogue Space

WP4

Defining the

Quantitative

Story-Telling

WP2

EU

administration WP1

interactions

during the

project

permanent

platform of

interaction

WP7

NEXUS

Knowledge

Hub Quality check on the

assessment of innovations WP6

Quality check on the

robustness of narratives WP5

CASE STUDIES

Page 31: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

QUANTITATIVE STORY-TELLING FOR GOVERNANCE

• Problems of evidence based policy:

• Over-simplification

• Dealing with complexity

Page 32: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

OVERSIMPLIFICATION

“Based on historical trends, our projections show that population

numbers should keep increasing: we look to the upcoming Thanksgiving

with confidence…”

Page 33: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

GDP WILL RESUME GROWTH IN 2009

European Commission, Economic Forecast, autumn 2007.

Directorate-General for Economic and Financial Affairs,

European Economy, No. 7/2007

Page 34: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

GDP WILL RESUME GROWTH IN 2010

European Commission, Economic Forecast, autumn 2008.

Directorate-General for Economic and Financial Affairs,

European Economy, No. 6/2008

Page 35: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

GDP WILL RESUME GROWTH IN 2011

European Commission, Economic Forecast, autumn 2009.

Directorate-General for Economic and Financial Affairs,

European Economy, No. 10/2009

Page 36: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

GDP WILL RESUME GROWTH IN 2012

European Commission, Economic Forecast, autumn 2010.

Directorate-General for Economic and Financial Affairs,

European Economy, No. 7/2010

Page 37: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

GDP WILL RESUME GROWTH IN 2013

European Commission, Economic Forecast, autumn 2011.

Directorate-General for Economic and Financial Affairs,

European Economy, No. 6/2011

Page 38: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

GDP WILL RESUME GROWTH IN 2014

European Commission, Economic Forecast, autumn 2013.

Directorate-General for Economic and Financial Affairs,

European Economy, No. 7/2013

Page 39: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

EU (28 countries) Eurostat EC Forecast, abs

average error

2.4 pts (140%)

2009 -4.8 2.4 error=7.2

2010 1.7 1 error=0.7

2011 1.4 1.5 error=0.1

2012 -0.7 2 error=2.7

2013 -0.1 1.5 error=1.6

Euro Area (18

countries)

Eurostat EC Forecast,

abs.

average error

2.5 pts (170%)

2009 -4.8 2.1 error=6.9

2010 1.7 1 error=0.7

2011 1.3 1.5 error=0.2

2012 -0.9 2 error=1.1

2013 -0.6 1.4 error=2.0

Eurostat http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&plugin=1&language=en&pcode=tsdec100

Page 40: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

FORECASTS HAVE A MEAN REVERTING CORE

Page 41: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

COMPLEXITY

Page 42: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Multi-scale analysis

Event: THE DEATH OF A PARTICULAR INDIVIDUAL

EXPLANATION 1 --> “no oxygen supply in the brain”

Space-time scale: VERY SMALL Example: EMERGENCY ROOM

Implications for action: APPLY KNOWN PROCEDURES

Based on known HOW - past affecting strongly present actions

EXPLANATION 2 --> “affected by lung cancer”

Space-time scale: SMALL Example: MEDICAL TREATMENT

Implications for action: KNOWN PROCEDURES & EXPERIMENTATION

Looking for a better HOW - past affecting present, but room for change

EXPLANATION 3 --> “individual was a heavy smoker”

Space-time scale: MEDIUM Example: MEETING AT HEALTH MINISTRY

Implications for action: MIX EXPERIENCE AND WANTS INTO POLICY

Considering HOW and WHY - past and “virtual future” affecting present

EXPLANATION 4 --> “humans must die”

Space-time scale: VERY LARGE Example: SUSTAINABILITY ISSUES

Implications for action: DEALING WITH THE TRAGEDY OF CHANGE

Considering WHY - “virtual future” (values) affecting present

Page 43: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

pre-analytical definition

of what should be analyzed

car

airplane

boat

truck

bike

horse

WHAT

tank

Economic

Criterion

Safety

Criterion

Cultural

Criterion

Driving quality

Criterion

SEMANTIC FRAMING OF THE ANALYSIS

WHY

moving people

on land

moving people

on water

moving people

short distance

moving people

long distance

moving around

when at war

moving heavy

loads

GOALS

+

CONTEXT

Page 44: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Economic

Criterion Safety

Criterion

Cultural

Criterion

Driving quality

Criterion

Page 45: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

Can we use the same multi-criteria space

to characterize the choice between

a TRABANT and a FERRARI?

NO WAY!

It does not provide enough information to either

those interested in buying a TRABANT, nor

those interested in buying a FERRARI

The two types of buyer will requires a different

selection of indicators and attributes: a different WHAT

Page 46: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

(18 October 1919 – 28 March 2013)

George Box

Box, G. E. P., and Draper, N. R.,

(1987), Empirical Model Building and

Response Surfaces, John Wiley & Sons,

New York, NY. P 424

“Essentially, all models are

wrong, but some are useful.”

Page 47: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

decoding

Non-equivalent Perceptions

encoding

Non-equivalent Representations

ecologist

economist

biologist

engineer

sociologist

“SYSTEM”

Plurality of Observations

relevant

attributes

models

PLURALISM

19

Page 48: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

ROSEN’S MODELLING RELATION

Narrative

Page 49: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

NEW NARRATIVES

What makes a model useful?

Who defines the purpose?

GDP was created during WWII in order to measure

productive capacity to face the war – is this model

still useful to assess economic performance?

Page 50: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

QUANTITATIVE CHECK OF THE USEFULNESS OF NARRATIVES

• A different way of doing science

• Using quantitative methods to check the usefulness

of narratives

• Quantitative tools are used as heuristic tools

• Beware of spurious quantification

Page 51: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

TET

GDP

$

MJ

El Salvador = 12.6 MJ/$

Finland = 12.6 MJ/$

=

TET

THA

GDP

THA

Year 1997

MJ

US$ = 12.6 !!!

No significance !

No external referent !

Finland = 29.73 MJ/hr

El Salvador = 2.92 MJ/hr

Finland = 2.35 $/hr El Salvador = 0.23 $/hr

(20,600 $/year p.c) (2,020 $/year p.c)

ELPPW level n-1

ELPAG

ELPPS

ELPSG

14 $/hour 27 $/hour

31 $/hour

2 $/hour

0.8 $/hour

5 $/hour

HAAG HASG

HAPS

Page 52: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

DEALING WITH UNCERTAINTY

Technical know-how ≠ Large scale application

Page 53: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

• Grammars

• Semantic description of the interaction of elements in the system

• Metabolic patterns

• levels of consumption in extensive and intensive variables

• Domestic production vs imports/exports in flows/hour and

flows/ha

WHAT TYPE OF QUANTIFICATION?

Page 54: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

DAY 2 – WP4

Page 55: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

HOW WP4 WORKS

1. Training

2. Development of analytical tools

3. Analysis of 8-10 EU countries

4. Global drivers

5. Planetary boundaries

6. Externalization

7. Interaction with EC

8. Updating Grammars

Case studies WP5 Case studies WP6

Page 56: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

WP4 TASKS

1. Training

(UAB with support of all other partners)

MuSIASEM Internal Project Training Session

• Month 4: 5-9 September 2016

• MILESTONE 1

Alternatively

Liphe4 Summer School

in 11-15 July !!!

Page 57: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

WP4 TASKS

2. Development of analytical tools

(UAB with support of HUTTON, WU, UT, UiB,

UNINA, CA, ITC)

Definition of a general framework for the

quantitative analysis of the nexus based on

“grammars”

• Months 1 to 12

• DELIVERABLE 4.1

Page 58: Work Package 1 1-7 Presentation.pdfManagement in Horizon 2020”. Task 3.2: Identifying Data and Populating and Structuring Databases (UNINA with support of ITC, UT, UAB, HUTTON, WU,

WP4 TASKS

3. State of the Play of 8-10 EU countries

(WU with support of UAB, HUTTON, UT, UiB, UNINA, CA,

ITC)

Develop a protocol for the characterization the

whole EU with a granularity of NUTS1 or NUTS 2 regions

• Months 9 to 18 -> DELIVERABLE 4.2

8-10 EU countries NUTS 1 NUTS 2

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WP4 TASKS

Deliverable 4.3

4.3

Global Drivers

4.4

Planetary Boundaries

4.5 Externalization

Deliverable led by University of Twente

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WP4 TASKS

4. Global Drivers

(UAB with support of WU, HUTTON, UT, UNINA, CA, ITC)

Generate simulations of the effect of existing drivers

on global metabolic patterns in the future for food,

water and energy requirements

• Months 9 to 18

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WP4 TASKS

5. Planetary Boundaries

(WU with support of UAB, HUTTON, UT, UNINA, CA, ITC)

DPSIR of different types of SES in the world to check

the limits to the expansion of societal consumption

determined by external constraints

• Months 9 to 18

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WP4 TASKS

6. Externalization

(UT with support of UAB, HUTTON, WU, UNINA, CA, ITC)

Effects of EU externalization of impacts to other SES

because of imports

• water footprint for embodied water

• ghost land for agricultural production

• stock depletion and GHG emissions associated with

imported energy

• Months 9 to 18

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WP4 TASKS

7. Interaction with EC

(UAB and JRC with support of all other partners)

Interactive Meeting with EU Staff (from Policy and Innovation Teams)

This meeting will lead to the selection of case studies of WP 5 and WP6

• Month 18

• Milestone 2!

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WP4 TASKS

8. Updating Grammars

(UAB with all other partners)

Revisions and updating of the developed analytical

frameworks in task 4.2 in response to the feed-backs

received from the case studies in WP5 and WP6.

• Months 21 to 48

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WP4 PERSONS/MONTHS

Partner number WP4 effort

1- UAB 48

2- HUTTON 4

3 – WU 24

4 – UT 24

5 – UiB 2

6 – JRC 4

7 – UNINA 10

8 – CA 18

9 – ITC 3

total 137

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Z O R A K O V A C I C , T A R I K S E R R A N O

WORK PACKAGE 4

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WP3 NEXUS Information Space

NEXUS Dialogue Space

WP4

Defining the

Quantitative

Story-Telling

WP2

EU

administration WP1

interactions

during the

project

permanent

platform of

interaction

WP7

NEXUS

Knowledge

Hub Quality check on the

assessment of innovations WP6

Quality check on the

robustness of narratives WP5

CASE STUDIES

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HOW WP4 WORKS

1. Training

2. Development of analytical tools

3. Analysis of 8-10 EU countries

4. Global drivers

5. Planetary boundaries

6. Externalization

7. Interaction with EC

8. Updating Grammars

Case studies WP5 Case studies WP6

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WP4 TASKS

1. Training

(UAB with support of all other partners)

MuSIASEM Internal Project Training Session

• Month 4: 5-9 September 2016

• MILESTONE 1

Alternatively

Liphe4 Summer School

in 11-15 July !!!

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WP4 TASKS

2. Development of analytical tools

(UAB with support of HUTTON, WU, UT, UiB,

UNINA, CA, ITC)

Definition of a general framework for the

quantitative analysis of the nexus based on

“grammars”

• Months 1 to 12

• DELIVERABLE 4.1

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WP4 TASKS

3. State of the Play of 8-10 EU countries

(WU with support of UAB, HUTTON, UT, UiB, UNINA, CA,

ITC)

Develop a protocol for the characterization the

whole EU with a granularity of NUTS1 or NUTS 2 regions

• Months 9 to 18 -> DELIVERABLE 4.2

8-10 EU countries NUTS 1 NUTS 2

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WP4 TASKS

Deliverable 4.3

4.3

Global Drivers

4.4

Planetary Boundaries

4.5 Externalization

Deliverable led by University of Twente

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WP4 TASKS

4. Global Drivers

(UAB with support of WU, HUTTON, UT, UNINA, CA, ITC)

Generate simulations of the effect of existing drivers

on global metabolic patterns in the future for food,

water and energy requirements

• Months 9 to 18

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WP4 TASKS

5. Planetary Boundaries

(WU with support of UAB, HUTTON, UT, UNINA, CA, ITC)

DPSIR of different types of SES in the world to check

the limits to the expansion of societal consumption

determined by external constraints

• Months 9 to 18

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WP4 TASKS

6. Externalization

(UT with support of UAB, HUTTON, WU, UNINA, CA, ITC)

Effects of EU externalization of impacts to other SES

because of imports

• water footprint for embodied water

• ghost land for agricultural production

• stock depletion and GHG emissions associated with

imported energy

• Months 9 to 18

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WP4 TASKS

7. Interaction with EC

(UAB and JRC with support of all other partners)

Interactive Meeting with EU Staff (from Policy and Innovation Teams)

This meeting will lead to the selection of case studies of WP 5 and WP6

• Month 18

• Milestone 2!

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WP4 TASKS

8. Updating Grammars

(UAB with all other partners)

Revisions and updating of the developed analytical

frameworks in task 4.2 in response to the feed-backs

received from the case studies in WP5 and WP6.

• Months 21 to 48

• Deliverable 4.4

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WP4 PERSONS/MONTHS

Partner number WP4 effort

1- UAB 48

2- HUTTON 4

3 – WU 24

4 – UT 24

5 – UiB 2

6 – JRC 4

7 – UNINA 10

8 – CA 18

9 – ITC 3

total 137

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Workpages 5 & 6 (James Hutton Institute, Wageningen University)

Preliminary – dependent on WP2-4

Ideas at this stage

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Workpages 5 & 6 (James Hutton Institute, Wageningen University)

Aim

WP5: quality check on the narratives behind policy

WP6: quality check on the potential of innovations

Using framework developed in WP2-4:

for real with stakeholders

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Steps

WP5

1. Identify narratives behind directives

2. Interdependency among narratives - deliberating - MuSIASEM

3. Alternative narratives

WP6

1. Identify narrative of innovations

2. Discuss the potential - deliberating - MuSIASEM

3. Conclude potential

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Workpage 5

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Workpage 6

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• What are the narratives within these policies, behind innovations? Nexus expressed?

• What are the aims of these stories and narratives?

• Use MUSIASEM to show why and where there are inconsistencies in these narratives.

• Bring in institutional analyses to show why such narratives persist (avoid information deficit approach)

WP5 & WP6

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WP5 & WP6

• What are the policy/innovation windows that we are seeking to influence in our areas in the DoW

• 5 teams looking at the individual policies / and 5 at innovation. Who are in these teams.

• Content analysis and checking what they currently do (policy as designed and policy as enacted or current) via interviews of key participants.

• Opening up/closing down

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Work Package 7

Nexus Knowledge Hub

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WP3 NEXUS Information Space

NEXUS Dialogue Space

WP4

Defining the

Quantitative

Story-Telling

WP2

EU

administration WP1

interactions

during the

project

permanent

platform of

interaction

WP7

NEXUS

Knowledge

Hub Quality check on the

assessment of innovations WP6

Quality check on the

robustness of narratives WP5

CASE STUDIES

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Knowledge Exchange

• Challenge the uni-directional approach of “informing citizens” or “creating awareness”

• Maximize impact by creating the opportunity for socially mediated modes of knowledge production

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Post-Normal Science

Funtowicz & Ravetz 1993

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Citizen engagement

• Identification of relevant narratives

• Critical assessment of current narratives

• Collaborative definition of new narratives

• Interactive tools:

– On-line forum

– Helpdesk for enquires

– Social media accounts (twitter & facebook)

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Reusable Datasets

Research Partners

Direct Stakeholder

Advisers

Public

Interest Groups

Instrumental ChangeConceptual

ChangeAttitudinal Change (mainly

willingness to engage)Enduring Connectivity Increased Capacity

Transdisciplinary Research Methods (e.g. QST)

Inputs to Policy ProcessesScience-Policy Seminars Mixed Team

Making Process

Awareness

Social Media

Debates

Hotline/Helpdesk

Project Website

NewslettersLeaflets etc

Training/CPD

Print Media

Broadcast Media

Peer Review Publication

Project Steering Group

Webinars

Online Learning Materials

FAQ

Forum

KE Outcome

KE Audience

Popular ScienceBook

Guidance

Software Tools

Conference/Session

A visual representation of the components of the MAGIC knowledge exchange, dissemination and exploitation plan

Citizen Engagement

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Plurality of interfaces * The Nexus Times

* Videos, Material, FAQs

* Social media

* Discussion forums

* Nexus hotline

* Publications

* Conferences

* Routledge Book series

* Text book on Nexus

* Educational games

* MOOCs

* Syllabi + materials

* Summer schools

* Specific Training

* Continuing Professional

Development course

* Ad-hoc tool-kits

Decision support for

a better informed

societal deliberation

A permanent contact point

with the society

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Tasks

1. Dissemination Plan (M1-6)

2. Nexus Knowledge Hub (M1 – M48)

3. Scientific output (M12 – M48)

4. Other dissemination (M24 – 48)

5. Final conference (M47)

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1. Dissemination Plan

(UAB, JRC, UiB)

Defining a Strategy for Dissemination, Communication, and Exploitation Identification of (i) target recipients, (ii) the communication strategy (frequency of communication,

newsletter, science policy seminars, public seminars), (iii) language (teaching material, professional training, scientific report)

Ideas & suggestions?

• Deliverable 7.7 Dissemination Plan (M 6)

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2. Knowledge Hub

(UAB, UNINA and all)

Online platform

Within or linked to the project website

Related to Dialogued Space WP2

Dedicated PhD student at JRC

• Deliverables 7.1 Nexus Times (M 12) 7.2 Website (M 3) 7.5 Educational Nexus Game (M 42) 7.8 Leaflet (M 3)

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• Dissemination of results & case studies

• Discussion forum on narratives & QST

• Videos, webinars, teaching material

2. Knowledge Hub

(UAB, UNINA and all)

Ideas & suggestions? How can we make this truly interactive?

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Twitter and facebook

Hashtags? #MAGICNEXUS #NEXUS

https://www.facebook.com/MagicNexusEu

https://twitter.com/MAGIC_NEXUS

@MAGIC_NEXUS

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3. Scientific output

(UAB and all)

Conferences & Publications

Obligation to publish in Open Access (manuscripts, data and bibliographic metadata)

Book in the series Routledge Explorations in Sustainability and Governance

• Deliverable 7.4 Report on publications & conferences (M 48)

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Other dissemination

(UAB and all)

Teaching and training material on Nexus Assessment

Training and Continuing Professional Development course MOOC in Coursera • Videos, training and other material in the knowledge hub

• Book for the general audience

• Deliverable 7.3 TCPD course – teaching material (M 26)

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5 Final conference

(UAB and all)

• Deliverable 7.3 Report on Final Conference (M 47)

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Person-months

UAB 38.00

HUTTON 12.00

WU 14.00

UT 15.00

UiB 3.00

JRC 10.00

UNINA 9.00

CA 15.00

ITC 4.00

120.00

Person Months

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Important for publications!!

Obligation to publish in Open Access (Publications, Data and Bibliographic metadata). Article 29 of the GA: 1 – upload final manuscript accepted for publication (pre-printed version?) in a repository for scientific publications (Knowledge Hub, Research Gate and Academia, …) 2 – ensure open access to the deposited publication — via the repository — at the latest: (i) on publication, if an electronic version is available for free via the

publisher, or (ii) within 6 months of publication (12 months for the social sciences and humanities) in any other case.

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(a) deposit in a research data repository and take measures to make it possible for third parties to access, mine, exploit, reproduce and disseminate — free of charge for any user — the following: (i) the data, including associated metadata, needed to validate the results presented in scientific publications as soon as possible; (ii) other data, including associated metadata, as specified and within the deadlines laid down in the 'data management plan' (see Annex 1); (b) provide information — via the repository — about tools and instruments at the disposal of the beneficiaries and necessary for validating the results (and — where possible — provide the tools and instruments themselves).

Important for publications!!

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EU GuidelinesGuidelines on Open Access to Scientific Publications and Research Data in Horizon 2020 http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-pilot-guide_en.pdf Related cost are eligible and go under "other direct costs"

Important for publications!!

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Obligation to acknowledge EU funding and put disclaimer in any form of dissemination

Article 29.4 and 29.5 of the GA. Unless the Agency requests or agrees otherwise or unless it is impossible, any dissemination of results (in any form, including electronic) must: (a) display the EU emblem and (b) include the following text: “This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 689669”. Any dissemination of results must indicate that it reflects only the author's view and that the Agency is not responsible for any use that may be made of the information it contains.

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Obligation to inform other partners about the intention to publish/present results

Article 29.1 of the GA A beneficiary that intends to disseminate its results must give advance notice to the other beneficiaries of — unless agreed otherwise — at least 45 days, together with sufficient information on the results it will disseminate. Any other beneficiary may object within — unless agreed otherwise — 30 days of receiving notification, if it can show that its legitimate interests in relation to the results or background would be significantly harmed. In such cases, the dissemination may not take place unless appropriate steps are taken to safeguard these legitimate interests.

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Article 8.3 Dissemination of the CA Prior notice of any planned publication shall be given to the other Parties at least 45 calendar days before the publication. Any objection to the planned publication shall be made in accordance with the Grant Agreement in writing to the Coordinator and to the Party or Parties proposing the dissemination within 30 calendar days after receipt of the notice. If no objection is made within the time limit stated above, the publication is permitted

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Silvio’s corner – Post-Normal Twitting

The sobering wisdom of Vaclav Smil

Skeptical Energetics – Charlie Hall

Climatic Monitoring – by C.A.

Water level logger – by ?

Andrea’s corner – evidence based or policy based?

THESE ARE JUST IDEAS . . . To be discussed

Fracking observer – by Cristina Madrid (Yale)

We need a

“The Nexus Time

Task Force”!