Monitoring Smart Specialisation Strategies

Monitoring Smart Specialisation Strategies

98 click
HTML code

Research and innovation are crucial for meeting the socio-economic challenges of our times. This is why they are at the centre of the European Union strategy and its Cohesion policy. Indeed, countries and regions have designed a Research and Innovation strategy for Smart Specialisation (RIS3) to guide public investment in the coming years.
To check whether their policies, investment decisions and projects are delivering, regions and countries need an effective monitoring system, and this course aims at supporting this process.
This MOOC, organised by the Joint Research Centre of the European Commission (JRC), answers some of the key questions related to monitoring RIS3, addressing conceptual, policy and empirical aspects.

Who is this course for?

This course is open to anyone interested in monitoring knowledge-based regional development, and in particular monitoring Smart Specialisation Strategies. Whilst it is designed with EU regions and member states specifically in mind, the principles and ideas discussed should be of relevance to a broader audience.

Particular groups include:

Civil servants working on regional development at the regional, national and European level
Students or researchers interested in regional development, or research and innovation policies
Consultants in regional development or research and innovation policy

What do I need to know?

Previous knowledge and experience in Cohesion Policy and monitoring is an advantage but it is not a compulsory prerequisite. A good command of English is essential.

What will I learn?

The principles underpinning RIS3 and RIS3 monitoring
The nature of the core-indicators relevant to monitoring RIS3
The potential data-sources needed to monitor RIS3
The role of stakeholders in monitoring
The tactics for a successful use of monitoring

Mainly, by the end of the course you will understand why there is no shortcut to monitoring, and why it is crucial to develop a good monitoring system.

Course Structure

Chapter 1 - Introduction

In the first chapter we will introduce RIS3, present the S3 platform and our activities of targeted support, as well as provide an overview of the course.

Chapter 2 – Output and Result Indicators

Chapter 2 is technical in nature and describes output and result indicators, the core elements of monitoring RIS3.

Chapter 3 – Data Sources

Chapter 3 discusses the different data-sources to build Output and Result indicators, highlighting their pros and cons and pointing out the role of qualitative data in monitoring, the relevance and limits of international benchmarking. Chapter 3 also discusses how indicators should be built and data should be collected in different administrative settings.

Chapter 4 – Stakeholder Engagement

RIS3 is a participatory process and stakeholders are critical not only in the design of the strategy, but also in its monitoring process. Chapter 4 explains why and provides some real examples.

Chapter 5 – Effectiveness of Monitoring

The last chapter will focus on the key ingredients for success when developing a monitoring system, highlighting the importance of communication to decision makers.

Lessons hide description



University Mathematics 1027 views

Math 1A/1B. Pre-Calculus: Trigonometry - UCI 33 lessons

This open course provides the student with review of intermediate algebra, geometry, and trigonometry. It is designed for those want to be successful in an introductory college calculus course, but wo

University Science 832 views

Software Architecture & Design 673 lessons

Software Architecture and Design teaches the principles and concepts involved in the analysis and design of large software systems. This course is split into four sections: (1) Introduction, (2) UML a

University Economics 81 views

Managing Innovation 1 lesson

The aim of this course is to provide students with theoretical and applied knowledge on the economics and management of innovation. Combining real cases, intervi

University Mathematics 978 views

Introduction to Probability and Statistics A - UCI 16 lessons

Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distribution

University Mathematics 986 views

Introduction to Probability and Statistics B - UCI 15 lessons

Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approac

University Economics 101 views

New Business Models – Working Together on Value Creation 1 lesson

Have you ever dreamed about starting your own business? Are you dedicated to sustainability but don't know how to put this passion into practice? Do you see chal

University Economics 47 views

Thinking Complexity 1 lesson

This is a hands-on four chapter course to learn how to better understand and act when faced with complex situations. By the end of the course students will be ab

University Mathematics 504 views

Intro to Inferential Statistics 490 lessons

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t

University Medicine 2644 views

Neuroscience - Oxford University 29 lessons

A picture of Oxford's work in neuroscience

University Science 587 views

Intro to Computer Science 151 lessons

In this introduction to computer programming course, you’ll learn and practice key computer science concepts by building your own versions of popular web applications. You’ll learn Python, a power...

Web Stats

Community: 21,157 users
Active courses: 1,160
Lessons: 27,686
Data: 83 GB
Online: 41 users

News about new courses