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News article29 January 2018

New JRC MOOC on monitoring Smart Specialisation strategies

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Which are the principles underpinning research and innovation smart specialisation strategies (RIS3)? What are the core-indicators to monitor the sound implementation of RIS3? Where to find the key data-sources needed to monitor them?

These are the insights you will gain from a new Massive Online Open Course (MOOC) produced by the JRC on monitoring Smart Specialisation strategies. The new course will start in March 2018, and is open to anyone interested in monitoring knowledge-based regional development, and in particular Smart Specialisation Strategies. Specific audiences are:

  • 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

To receive more information on the MOOC opening, please JRC-LIST-B3-LAGREGatec [dot] europa [dot] eu (subject: MOOC%20Monitoring%20RIS3%20) (contact us).

Registration and more information on the MOOC: “Monitoring Smart Specialisation Strategies”.

About this MOOC: Monitoring on Smart Specialisation Strategies

Research and innovation are crucial for meeting the socio-economic challenges of our times. This is why they are at 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.

This course aims at supporting this process and is opened to anyone interested in monitoring knowledge-based regional development and RIS3 strategies in particular. It will go online next March 2018. The MOOC will answer some of the key questions related to monitoring RIS3, addressing conceptual, policy and empirical aspects.

The course will embrace 5 weekly modules and will be available on the online learning platform Iversity.

Details

Publication date
29 January 2018