ESOF 2020 - Open Research Infrastructure in the field of Science and Innovation Policy Studies: a journey within RISIS and its datasets
Creators
- 1. CNR IRCrES
- 2. AIT, Austrian Institute of Technology
- 3. USI, Università della Svizzera Italiana
- 4. CWTS, Leiden University
- 5. UPEM, Université Paris-Est Marne-la-Vallée
- 6. Niedersächsische Staats- und Universitätsbibliothek Göttingen
- 7. Joint Research Centre, European Commission
- 8. Research and Industrial Infrastructures Unit, European Commission
Description
On 4th September ESOF2020 hosted a virtual RISIS Panel to address, discuss, and debate these policy questions which involve the future innovation systems.
RISIS Panel at ESOF2020, in particular, focused on the Knowmak-tool with a presentation of Dr. Thomas Scherngell, Dr. Barbara Antonioli Mantegazzini, and Dr. Ed Noyons (The RISIS-KNOWMAK tool providing integrated indicators on research and innovation activities across Europe with use cases as examples).
The illustration of Knowmak-tool has been introduced by an exploration of RISIS activities by Dr. Emanuela Reale and the delineation of strategies and ambitions by Dr. Philippe Laredo, the RISIS project coordinator.
The last part of the virtual conference has been dedicated to policy questions with a session entitled Addressing research and policy questions using RISIS resources and with the involvement of Dr. Ilaria Fava (Georg-August-Universität Göttingen), Dr. Koen Jonkers (DG Joint Research Centre, European Commission) and Dr. Johannes Klumpers (Head of Research and Industrial Infrastructures Unit at European Commission).
Files
1 ESOF2020_Introduction__REALE.pdf
Files
(5.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:33dd49daacda8bfbd64aa6d8a610860e
|
1.1 MB | Preview Download |
|
md5:c22581c7f05484c0ddd0d057bbc42155
|
1.0 MB | Preview Download |
|
md5:e91d03e0220739c5bd9c9160037b7611
|
472.5 kB | Preview Download |
|
md5:10749527dbcc7b59c7f677897d04d8e6
|
1.3 MB | Preview Download |
|
md5:0d11e3623d5257400c92de78057b9ee3
|
803.9 kB | Preview Download |
|
md5:8138ebcf8c83d57f8bc0d394698d522c
|
513.1 kB | Preview Download |