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Research Infrastructure for Science and Innovation Studies Research Infrastructure for Science and Innovation Studies
  • About RISIS
    • Description
    • Objectives
    • Documentation
    • Blog / News
  • Members
    • Partners
    • People
    • Governing Board
    • Committees
  • Resources
    • Datasets
    • Organisation Registers
    • Indicators
    • Services
    • Methods for data analysis
  • Training
    • Methodological courses
    • Summer Schools
    • Methods in Action
  • Seminars
    • Research Seminars
    • Policymakers Sessions
  • Outputs
    • Zenodo
    • Policy briefs
    • Videos

Archives

Monthly Archive for: "October, 2020"
RISIS-KNOWMAK tool: a good practice of impact on knowledge production
0
By Serena Fabrizio
In Blog, news
Posted October 22, 2020

RISIS-KNOWMAK tool: a good practice of impact on knowledge production

What are the relevant topical areas addressed by researchers concerning global challenges? A study recently published on Zenodo indagates on one-hand topics related to sustainability defined by [...]

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Exploring collaborations network in the Baltic Sea Region using RISIS DATASETS
0
By Serena Fabrizio
In Blog, news
Posted October 19, 2020

Exploring collaborations network in the Baltic Sea Region using RISIS DATASETS

A study carried out in the framework of the Interreg BSR (Baltic Sea Region) S3 (Smart specialization) Ecosystem project provided analytical insights on value chains in a selected focus area and [...]

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R&D networks: evidence from a spatial econometric perspective
0
By Serena Fabrizio
In Blog, news, Training
Posted October 16, 2020

R&D networks: evidence from a spatial econometric perspective

The third RISIS Research Seminar will take place on 11th November from 12:30 am to 2:00 pm (CET) and will focus on R&D networks and their effects on heterogeneous modes of knowledge creation: [...]

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RISIS ONLINE SCHOOL ON DATA SCIENCE
0
By Serena Fabrizio
In Training
Posted October 12, 2020

RISIS ONLINE SCHOOL ON DATA SCIENCE

Providing the essential tools for a correct application of some popular Network Science, Spatial Models and Machine Learning methods in various STI contexts.   This is the main purpose of [...]

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This project is funded by the European Union under Horizon2020 Research and Innovation Programme Grant Agreement n°82409

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