The Digital Factory for Knowledge

Alain Bensoussan, Consultant. Marie Blanquart, Sciences Po Paris, France. Lucille Colin, Sciences Po Paris, France. Renaud Fabre, CNRS, France.

Preface   xi
Renaud FABRE and Alain BENSOUSSAN

Part 1. Scientific Resources and Data Economy   1

Chapter 1. Data Production and Sharing: Towards a Universal Right? 3
Marie BLANQUART, Thomas DESCOUS and Ewen HUET

1.1. The right to knowledge today: between attempts at universalization and “self-regulation” by the GAFA 4

1.1.1. Towards the emergence of a universal right to knowledge subject to divergent economic thinking 5

1.1.2. The recognition of a universal right to knowledge: a “realistic utopia”? 6

1.2. Platform and scientific community rights: the absence of an upfront legal framework  7

1.2.1. A system partly caused by the development of the digital sector  7

1.2.2. The now-fragile law attempting to protect the results of research  8

1.2.3. Intellectual property rights   8

1.2.4. The notion of databases and protection by sui generis law 9

1.2.5. Problems with the legal statute of knowledge   11

1.3. The need to elaborate several types of legislation   12

1.3.1. Platform rights 12

1.3.2. Text and Data Mining: the great new stake 14

1.4. Open Science: an achievable goal?  15

Chapter 2. Data: a Simple Raw Material?  19
Bertrand PELETIER and Thomas DESCOUS

2.1. The new generation of data: management issues arising from ownership rights 19

2.2. How to transform these data into knowledge? 20

2.3. A new knowledge economy is necessary 21

2.3.1. The information war and the stakes of data protection  21

2.4. International scientific publishing: high added-value services and researcher community   22

2.4.1. The open platform as the preferred tool for sharing and exploiting data 22

2.4.2. An undeniable added value in processing data brought about by platforms  24

Chapter 3. New Knowledge Tools   27
Christoph LOHSCHELDER

3.1. Sharing and uncertainty   27

3.2. Platform construction   28

3.3. Machine learning 30

3.4. Promising progress to be qualified…  31

Part 2. The Knowledge Factory 33

Chapter 4. Economic Models of Knowledge Sharing   35
Vincent GIACOBBI

4.1. A quick historic overview 35

4.2. Property and/or sharing   35

4.3. An immaterial good capable of fueling the production of material goods 37

4.4. The large stakes of knowledge production  38

4.4.1. Limits of this model: consistency, reliability and indistinction 39

4.4.2. Business models of knowledge sharing  39

4.4.3. Some numbers 40

4.5. Development prospects allowing for new fields of study and more nimbly integrating researchers into the economic chain 41

Chapter 5. From the Author to the Valorizer  43
Lucile COLLIN

5.1. The author and the valorizer: conciliation and efficiency of the interaction 43

5.2. One point on patents   44

5.3. The innovation cycle   45

5.4. The law for a Digital Republic   46

5.5. Scientific openness surpassing ancient legal tools   48

Chapter 6. Valorization: a Global Geopolitical Stake   51
Marie BLANQUART

6.1. A multispeed competition 51

6.1.1. The United States: a country losing its lead   51

6.1.2. French stagnation   53

6.1.3. The expanding Chinese model  54

6.2. International cooperation in the scientific sector   57

6.2.1. A developing European project  57

6.2.2. International organizations   58

Chapter 7. Focus: the Chinese Patent Strategy   61
Vincent GIACOBBI

7.1. Chinese expansion 62

7.2. An inflation of Chinese patents   63

7.3. Some fallbacks in China nuancing its strategic position  65

7.3.1. A fallback in favor of applied research  66

7.3.2. Territorial withdrawal 66

7.3.3. A long certification process with uncertain ends   66

7.3.4. The procedure for submitting a dispute on a patent   67

7.4. Contestable and contested digital supremacy 68

Chapter 8. Artificial Intelligence Policies  71
Maximilian NOMINACHER and Bertrand PELETIER

8.1. Policies concerning “strong” AI   72

8.2. Policies concerning “weak” AI   72

8.3. Policies concerning artificial intelligence safety   74

8.4. From practice to ethics: what is AI’s legal status?   75

Chapter 9. New Formulations of Results and New “Markets” 77
Louki-Géronimo RICHOU

9.1. Making universal: establishing common standards of expression 78

9.1.1. Requirement of uniqueness   79

9.1.2. Hierarchy requirement 79

9.2. To adapt: from popularization to simplification   82

9.2.1. Versatility or specialization?   83

9.2.2. Simplifying rather than popularizing 84

9.2.3. Measures following the precautionary principle: archiving and protection   85

9.2.4. Preserving the researcher while optimizing knowledge for the general interest during the digital era 85

9.3. Developing the general state of knowledge with care   87

Chapter 10. Open Science: a Common Good that Needs to be Valued?   89
Nicolas MASSEREAU

10.1. A global challenge that must take the economy into account   90

10.2. A wide variety of public policies respond to this challenge   90

10.2.1. Enterprises and States 90

10.2.2. Valorization as a junction point  91

10.2.3. Basic research: competing with applied research?   93

10.3. The French case and international rankings 94

10.4. The limits of the patent system and publication count   96

10.5. Investment tools aiming to correct these failures   98

10.6. How to measure innovation? 100

10.6.1. The university: the first knowledge production framework recognized by law  100

10.6.2. Research data: a new intangible “place” for producing knowledge 101

10.7. The application of research is not an end in itself   102

Conclusion   105
Renaud FABRE and Alain BENSOUSSAN

Appendices  109

Appendix 1. Extract from the CNRS White Paper: “The Work of Science and the Digital Field: Data, Publications, Platforms. A Systematic Analysis of the Law for a Digital Republic”  111

Appendix 2. Extract from the CNRS White Paper “Open Science in a Digital Republic: Studies and Proposals for Law Application. Strategic

Application Guide” 161

Bibliography  179

List of Authors 183

Index  185