7th Session: Workshop II on a Roadmap to Future Government
Samos Summit on ICT-enabled Governance
Francesco Mureddu, Associate Director, Lisbon Council, Belgium
Maria Wimmer, Professor, University of Koblenz-Landau and NEGZ, Germany
Juliane Schmeling, Fraunhofer Institut FOKUS, Researcher, Germany
Soumaya Ben Dhaou, Researcher, United Nations University, Portugal
Alexander Ronzhyn, Researcher, University of Koblenz-Landau and NEGZ, Germany
The objective of the workshop is to present and discuss the research Roadmaps of two
projects: the Big Policy Canvas Roadmap for Future Research Directions in Data-Driven
Policy Making and the Gov 3.0 Research Roadmap for the Use of Disruptive
Technologies in E-Government. The aim of the Big Policy Canvas roadmap is to put
forward the different research and innovation directions that should be followed in order to
reach the anticipated vision for making the public sector a key player in tackling societal
challenges through new data-driven policy-making approaches. The Gov 3.0 roadmap
focuses on research needs that arise with the use of disruptive technologies in public services.
The roadmapping exercise builds on previous projects such
as SONNETS, CROSSOVER, CROSSROAD, eGovPoliNet or eGovRTD2020, which all
adopted a policy oriented approach including a foresight element by combining roadmapping
with scenario building techniques.
In the workshop, the roadmaps cover five main research clusters related to the use of Big
Data and other disruptive technologies in policy making and in public service provisioning
more generally. For each cluster, a series of research challenges and applications are put
forward along indicative future scenarios.
The roadmapping exercise encompasses three main steps:
1. Identification of the gaps and external influence factors that hinder the rapid and
effective uptake of data-driven policy-making and policy-implementation solutions
and approaches;
2. Elaboration of a set of future research challenges and application scenarios related
to the use of big data and other disruptive technology in policy making;
3. Definition of a set of practical research directions and recommendations for all
stakeholders involved.
At this stage, the roadmaps present a set of research needs stemming from the gap analysis,
as well as an initial set of research challenges related to Privacy and Transparency, Data

Acquisition and Representativeness, Data Clustering and Integration, Modelling and
analysis, and Visualization.
Structure of the Workshop
The workshop will consist of two main section:
- 1st Part (60’)
o (20’) Data Driven Policy Making and Big Policy Canvas. This first part of the
workshop depicts the presentation of the data-driven policy making area, going
into the project’s goals.
o (20') Presentation of the Gov 3.0 roadmap on disruptive technologies in policy
making and public service provisioning
o (20) At the end of the first part, there will be a discussion on:
 How can co-creation for data-driven policy making be realized? How
can transparency be ensured? What contributions can disruptive
technologies (AI, Machine Learning, Internet of Things, Big data, etc.)
deliver?
 Which (technical, semantic, organizational, legal) requirements need to
be met to enable data-driven policy making?
 Which organizational capabilities are necessary for data-driven policy
making and for the use of disruptive technologies?
 What are the obstacles and bottlenecks for the use of Big Data in policy
making, and what challenges or risks may the use of disruptive
technologies embody in these domains?
BREAK
- 2nd part (60’) – Working session on the Big Policy Canvas and Gov 3.0 Roadmaps
The second part of the workshop is a working session on the roadmaps, specifically on the
part illustrating research challenges. Specifically, we have defined the following research
clusters related to the use of Big Data and disruptive technologies in policy making.
 Privacy, Transparency and Trust. Even more than with traditional IT architectures,
Big Data requires systems for determining and maintaining data ownership, data
definitions, and data flows. Ubiquity of algorithms in everyday lives (encompassedwith
the use of various disruptive technologies) is an important reason to focus on
addressing challenges associated with the design and technical aspects of algorithms
and preventing bias from the onset. In fact, the use of algorithms for automated
decision-making about individuals can result in harmful discrimination, and biased
decision making (based on bias in the training data);
 Data acquisition, cleaning and storing. The appropriateness of any Big Data source
for decision making should be made clear to users. Any known limitations of the data
accuracy, sources, and bias should be readily available, along with recommendations
about the kinds of decision-making the data can and cannot support;
 Data clustering, integration and fusion. Combination and meaning extraction of big
data stemming from different data sources to be repurposed for another goal. This
requires the composition of teams that combine different types of expertise: data
scientists, which can combine different datasets and apply novel statistical techniques

or AI and machine learning methods; domain experts, that help know the history of
how data were collected and can help in the interpretation;
 Modelling and analysis with big data. Here the point is to develop effective
infrastructures merging the science of data with the development of highly predictive
models, to come up with engaging and meaningful visualizations and friendly scenario
simulation engines. Hence the need of tools allowing for a realistic forecast of how a
change in the current conditions will affect and modify the future scenario: scenario
simulators and decision support tools;
 Data visualization. Making sense and extract meaning of data can be achieved by
placing them in a visual context: patterns, trends and correlations that might go
undetected in text-based data can be exposed and recognized easier with data
visualization software. This is clearly important in a policy making context, in particular
when considering the problem setting phase of the policy cycle and the visualization
often results of big data modelling and analysis.
 Data governance, data ownership, security and privacy. Disruptive technologies
raise a number of issues connected to data ownership, security and privacy.
Identification of the best practices to ensure ownership, privacy and security of
personal data in the age of big data, ubiquitous data collection and distributed
computing is an important area of research.
For each researchcluster, a set of researchchallenges will be presented. During the workshop
each research challenge will be thoroughly explain and the following topics will be discussed
with the audience:
 Initial question
o Do you agree with the clusters presented? Do you want to add any other?
 Questions after each cluster is presented:
o Do you agree with the research challenges? Do you have any other
suggestion?
 Question for each research challenge presented:
o Can you suggest any application cases?
o Can you suggest any related tools?
o Do you have any views related to the short- and long-term research related to
this challenge?
The Big Policy Canvas project
Big Policy Canvas - Needs, Trends and ICT Tools for Advanced Data-Driven Public Sector
(Horizon 2020 Coordination and Support Action 769623) EU funded project would like to offer
its perspective on how barriers that impede big data driven modernisation in policymaking can
be overcome. BPC aims at renovating the public sector on a cross-border level by mapping
the needs of public administrations with methods, technologies, tools and applications from
both the public & the private sector, stepping upon the power of open innovation and the rich
opportunities for analysis and informed policy making generated by big data. As a result, the
project will deliver a live roadmap that will propose short and midterm milestones and relevant
actions needed towards achieving the expected impacts for the public sector and the society
at large. In this workshop, BPC would like to present to the audience the results produced so
far and engage the participants in the co-design of the live roadmap. A cornerstone of Big
Policy Canvas is the development of a roadmap for future research directions. The

consolidation of such a roadmap, as envisioned by Big Policy Canvas is based upon a highly
collaborative and multidisciplinary approach including discussion and presentation of the
roadmap in several high level workshops for gaining input and validation. The roadmapping
exercise encompasses three main steps:1) Identification of the gaps that hinder the rapid and
effective uptake of data-driven policy-making and policy-implementation solutions and
approaches; 2) Elaboration of a set of future research challenges and application scenarios
related to the use of big data in policy making; 3) Definition of a set of practical research
directions and recommendations for all stakeholders involved. The aim of the workshop is to
discuss and provide contribution in particular to the last two steps.
Link to the project website: https://www.bigpolicycanvas.eu/
Link to the roadmap in commentable format: http://roadmap.bigpolicycanvas.eu/
Gov 3.0 Project
The area of Electronic Government has up to now been tackling important problems for
administrations and societies such as service provision, automation in the public sector,
interoperability and common standards, information systems, security and authentication and
legal issues. Moreover, researchers and practitioners have started to tackle Open and
Collaborative Governance issues, such as Big, Open, Linked Data (BOLD) for Governments,
opinion mining and sentiment analysis in Governance and advanced interoperability
infrastructures and systems. Gov 3.0 (Scientific Foundations Training and Entrepreneurship
Activities in the Domain of ICT-enabled Governance) goes beyond the existing state-of-the-
art in analysing developments from the public and private sectors towards establishing the
next generation of digital government as a scientific domain: Government 3.0 (ICT-enabled
governance).
The Gov 3.0 project contributes to the development of ICT-enabled governance by developing
new methods for roadmapping research priorities and new curricula for teaching at pre-
graduate, post-graduate and company executive levels, including new approaches to foster
entrepreneurship attempts (e.g. start-up companies based on open data) and a novel Massive
Online Open Course (MOOC) that will be available and maintained during and after the
implementation of the project.
The consortium consists of five Universities and three Companies. The partners represent a
multidisciplinary consortium. The core consortium is backed by a network of 10 associated
partners, covering practically most of the EU member states. The envisaged impact of the
project is to establish Government 3.0 as a vivid scientific domain, encompassing electronic
government, ICT-enabled governance and policy modelling and support.
Link to the project website: https://www.gov30.eu/
Doctor Francesco Mureddu
Doctor Francesco Mureddu is an advisor in innovation and technology policies. During his
career Francesco has been primarily involved in designing and delivering consultancy and
research projects for the European Institutions in a wide variety of topics including Information

Society and ICT, e-government, Smart Cities, ICT-enabled social innovation, future science,
research and innovation policies. During this activity, Francesco has developed an extensive
network across European Commission services, private companies and research
organizations. His specific fields of expertise include evaluation of policy initiatives and
programmes, impact assessments, policy monitoring and benchmarking, policy development,
counterfactual impact evaluation, technology roadmapping and scenario development,
economic and econometric modelling, cost/benefit and sensitivity analysis, stakeholders’
consultation and engagement. Francesco is currently Associate Director at the Belgian Think
Tank The Lisbon Council, Associated Researcher at the Centre for North South Economic
Research (CRENoS) of the University of Cagliari, as well as co-founder of the cyber security
startup Intelligence Framework Inc. In addition to that, Francesco regularly serves as
independent expert for a variety of clients, including the European Commission, for which he
evaluates proposals submitted for the EU funding programme Horizon 2020, and PwC Italy,
for which he oversees specific activities in the realm of evaluation and roadmapping.
Francesco holds an MA in Economics from the Catholic University of Louvain and a PhD in
Economics from the University of Cagliari, and is able to work and interact in English and
Spanish. More info available at https://be.linkedin.com/in/francescomureddu.
Prof. Dr. Maria A. Wimmer
Maria A. Wimmer is Professor for E-Government at the Institute for Information Systems
Research and currently the Dean of the Faculty of Computer Science at the University of
Koblenz-Landau. She is also a founding member and Member of the board of Directors of
NEGZ, the National E-Government Competence Centre in Germany. Maria has extensive
experience working on researchin e-government, e-participation and the digital transformation
of public sector overall. She developed ideas of new project proposals, drafted and
coordinated research projects to European, national and regional/local funding bodies, which
include ICT studies, impact assessments, and data collection. She also participated in
international and national communities on e-government, e-participation and new forms of ICT
which enabled innovative governance. With her research group e-government, she is the
principal investigator of different projects of e-government and e-participation, among them
are eSENS, OCOPOMO, TOOP, PEPPOL, eGovPoliNet and SCOOP4C. She is a specialist
in the development of holistic systems, i.e. integrating organisational, strategic, process-
specific, human and cultural as well as technical aspects in ICT systems for human use. Her
teaching and PhD supervision concentrates on ICT in the public sector and information
systems (such as Systems Analysis and Enterprise Architecture).
Maria co-organised several international conferences such as the annual international IFIP
EGOV and ePart conferences and she is in several program committees of conferences and
publication outlets in the field. She is a member of the IFIP WG 8.5 on Information Systems in
the Public Sector, which she chaired in 2007 - 2012. She has published more than 150
scientific papers on e-government and e-participation. She is also a member of the German
computer Society, the ACM, the IEEE and a jury member of the Annual German E-
Government Awards since 2006. See more details under: http://www.uni-koblenz.de/agvinf.
and.

Dr Alexander Ronzhyn
Alexander Ronzhyn holds a PhD in Sociology from the Deusto University, Bilbao, Spain. Since
2017, he is a researcher and lecturer at the University Koblenz-Landau in Koblenz, Germany.
His main interest is the implications of the proliferation of ICTs for the life of people: both for
the society in general and specifically for the provision of public services. He is interested in
the topics of e-participation, e-government, enterprise architecture, open government, and
teaches courses on these topics both on undergraduate and postgraduate levels.
Juliane Schmeling
Juliane holds a Bachelor of Arts degree in Public Management and a Master of Arts degree in
Public Governance. She is a researcher at Fraunhofer FOKUS at the competence center for
“digital public services”. She works at Fraunhofer since 2012. Her main research topic is
focusing on holistic governance approaches which encompasses emergent impact-oriented
management and performance measurement systems in the public sector as well as on
business and process analyses and how to derive software requirements from business
processes in context of complex software products in public administrations. She gained
experiences in various modernisation projects in the public sector. She supports the redesign
of an integrated IT infrastructure in the youth welfare sector as well as in the social welfare
sector in Berlin. She is work package leader in the Big Policy Canvas project and responsible
for the identification of public sector needs and trends in the field of evidence based
policymaking processes through Big Data and Open Innovation. Certifications: Prince 2; ITIL;
IREB
The Lisbon Council
The Lisbon Council for Economic Competitiveness and Social Renewal was founded on 06
October 2003 as a non-profit association, constituted under Belgian law (asbl/vzw). It was set
up to intellectually accompany the Lisbon Agenda, Europe’s original growth and jobs
programme. The organisation quickly positioned itself as a “go-to-place” for unconventional,
out-of-the-box thinking and research, attracting senior leaders from its very early days. Over
time, a pronounced focus on innovation, innovation in the public sector, digital technologies,
human capital and skills developed, all couched in the broader context of “growth and jobs”.
In particular, back in 2008, when most of the policymaking debate was focusing on innovation
in the private sector, the Lisbon Council was one of the first to focus on innovation in the public
sector, which represents in Europe half of the economy. More info available at
http://lisboncouncil.net.