Lesson Open Access
RISIS Winter school on Tools and methods for analysing complex STI systems, CNR-IRCRES 2021 - Materials
Di Giuseppe, Edmondo;
Zinilli, Antonio;
Scherngell, Thomas;
Neuländtner, Martina;
Cerulli, Giovanni
This folder contains all materials derived from RISIS Winter School on Tools and methods for analysing complex Science, Technology and Innovation (STI) systems: A gentle introduction to Network Science (NS), Spatial Models (SM) and Machine Learning (ML) organised by CNR-IRCRES in collaboration with AIT.
(Presentations and exercises)
Files
(120.5 MB)
| Name | Size | |
|---|---|---|
|
1_Introduction to R Di_Giuseppe_Part 1.pdf
md5:201d68720117e0151d55913974c061c7 |
1.8 MB | Download |
|
2_Introduction to R Di_Giuseppe_Part2.pdf
md5:d8ff8933c9bfcf531161a46901035054 |
50.0 kB | Download |
|
3_Network science module_Zinilli.zip
md5:81467a463f5887d12ec124e180399729 |
2.6 MB | Download |
|
4_Spatial models module_Scherngell-Neulandtner.zip
md5:7e99ec9739f61ee3de6c280308617407 |
60.3 MB | Download |
|
5_Machine learning module_Cerulli.zip
md5:a980865a2abe911ee70978d75541067a |
55.8 MB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 138 | 138 |
| Downloads | 89 | 89 |
| Data volume | 940.4 MB | 940.4 MB |
| Unique views | 114 | 114 |
| Unique downloads | 65 | 65 |
Indexed in
- Publication date:
- February 26, 2021
- DOI:
-
- Keyword(s):
- RISIS training Winter school Data science Network analysis Spatial models Machine learning RISIS datasets
- Grants:
-
European Commission:
- RISIS 2 - European Research Infrastructure for Science, technology and Innovation policy Studies 2 (824091)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International