JAIST Repository: 科学技術イノベーション政策の科学に関するコアコンテンツの分析

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JAIST Repository

https://dspace.jaist.ac.jp/

Title

科学技術イノベーション政策の科学に関するコアコン

テンツの分析

Author(s)

岡村, 麻子; 林, 信濃; 小柴, 等; 西村, 唯

Citation

年次学術大会講演要旨集, 33: 809-814

Issue Date

2018-10-27

Type

Conference Paper

Text version

publisher

URL

http://hdl.handle.net/10119/15575

Rights

本著作物は研究・イノベーション学会の許可のもとに

掲載するものです。This material is posted here

with permission of the Japan Society for Research

Policy and Innovation Management.

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2H20

⃝ GRIPS SciREX JST CRDS

NISTEP GRIPS SciREX GRIPS SciREX

1

SciREX 2011 2018 8 5 6 *1 SciREX

2

*1 [1] [2] SciREX (i) SciREX [3] (ii)

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2 [4, 5]

3

3.1 26 24 466 *2 1 A Web *2 [5] 1

Name Country Number of Courses

Ghent University BEL 1

Polytechnique Montréal, Grad. (POLY) CAN 8

The University of Manchester GBR 7

University of Sussex GBR 15

Bocconi University ITA 2

The National Graduate Institute for Policy Studies (GRIPS) JPN 17

Hitotsubashi University JPN 8

Kyoto University JPN 25

Kyushu University JPN 8

Osaka University JPN 21

University of Tokyo (U Tokyo) JPN 34

UNU-MERIT NLD 31

Higher School of Economics (HSE) RUS 18

Middle East Technical University,MS. (METU) TUR 38

Middle East Technical University,Ph.D. (METU) TUR 38

Arizona State University (ASU) USA 6

Carnegie Mellon University (CMU) USA 12

Duke University USA 32

Georgia Institute of Technology (Georgia Tech) USA 10

The George Washington University (GWU) USA 21

University of Michigan USA 74

Massachusetts Institute of Technology (MIT) USA 2

Princeton University USA 25

Stellenbosch University ZAF 13

Total — 466 a, the *3 3.2 LDA[6] collapsed Gibbs Gibbs LDA++[7] 466 LDA K α, β α =50/K, β = 0.1 Gibbs LDA++ 2000 K *3 nltk 3.2.5 (Python3.6.3)

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5∼12

4

4.1 K =12 , LDA , 10 2 4 2 LDA 1/3

Science and society Law and ethics Technology adoption Technology and management

ID Topic 1 (T_1) Topic 2 (T_2) Topic 3 (T_3) Topic 4 (T_4) 1 science 14.1% issue 2.7% market 3.4% management 5.7% 2 technology 13.6% law 2.7% technological 2.7% business 4.1% 3 social 3.6% environment 2.5% role 2.6% risk 3.7% 4 society 2.9% international 2.3% introduction 1.9% project 3.1% 5 communication 1.7% include 2.3% work 1.8% strategy 2.8% 6 scientific 1.6% current 1.9% state 1.7% issue 2.2% 7 relationship 1.2% legal 1.4% process 1.5% process 1.5% 8 knowledge 1.1% future 1.4% case 1.4% company 1.4% 9 think 1.1% human 1.3% change 1.4% strategic 1.3% 10 addition 0.9% space 1.3% debate 1.3% organization 1.3%

3 LDA 2/3

Intellectual assets Energy and environment Development and STI Innovation and policy

ID Topic 5 (T_5) Topic 6 (T_6) Topic 7 (T_7) Topic 8 (T_8)

1 application 3.4% environmental 4.5% development 5.5% innovation 11.4%

2 design 2.7% change 3.1% economic 4.1% knowledge 3.4%

3 property 2.7% energy 3.0% social 3.1% technology 3.3%

4 intellectual 2.7% problem 2.4% diﬀerent 2.6% policy 3.2%

5 right 2.6% climate 2.0% country 2.6% concept 2.5%

6 community 2.4% focus 2.0% global 1.9% evaluation 2.2%

7 registration 2.3% perspective 1.8% level 1.8% develop 1.6%

8 international 2.2% examine 1.6% regional 1.5% public 1.5%

9 procedure 2.0% discuss 1.5% governance 1.5% university 1.3%

10 examination 1.8% sustainable 1.4% develop 1.1% trend 1.3%

4 LDA 3/3

Policy science Research design Quantitative methodology Qualitative methodology

ID Topic 9 (T_9) Topic 10 (T_10) Topic 11 (T_11) Topic 12 (T_12)

1 policy 18.5% research 9.3% analysis 6.7% student 6.8%

2 public 5.7% lecture 4.3% method 5.5% class 3.1%

3 understand 5.5% learn 2.8% student 3.5% develop 2.5%

4 health 5.1% plan 2.3% theory 2.6% information 2.4%

5 make 3.1% study 2.2% data 2.3% discussion 2.2%

6 political 1.8% basic 2.2% model 2.1% seminar 1.7%

7 process 1.6% field 2.0% include 1.6% presentation 1.5%

8 issue 1.6% problem 1.9% topic 1.6% paper 1.4%

9 decision 1.3% case 1.8% apply 1.5% need 1.3%

10 government 1.3% economics 1.7% provide 1.4% study 1.3%

5 4.1.1 2 4 10 Fasttext[8, 9] “ ” Ward 1 4.1.2 5 LDA 2

Ghent, Bocconi, MIT 3

2 *4

5

5.1

(T_1) science, technology, society, communication STS

,

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5

Title T_1 T_2 T_3 T_4 T_5 T_6

Introduction to Quantitative Methods(GRIPS) 5.0% 4.0% 7.0% 5.0% 4.0% 4.0% Public Economics(GRIPS) 6.6% 7.7% 6.6% 4.5% 9.9% 5.6%

Intellectual Property Rights and Regulation(METU(MS)) 1.8% 1.8% 2.2% 1.8% 78.7% 1.8%

Advanced Scientometrics (Stellenbosch) 8.5% 4.3% 6.0% 4.3% 5.2% 9.4%

Title T_7 T_8 T_9 T_10 T_11 T_12

Introduction to Quantitative Methods(GRIPS) 4.0% 4.0% 6.0% 7.9% 44.8% 4.0%

Public Economics(GRIPS) 6.6% 8.8% 7.7% 15.2% 12.0% 8.8%

Intellectual Property Rights and Regulation(METU(MS)) 1.8% 2.6% 1.8% 1.8% 1.8% 2.2%

Advanced Scientometrics (Stellenbosch) 14.4% 11.1% 7.7% 10.2% 9.4% 9.4%

0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 T_ 11 T_ 4 T_ 10 T_ 6 T_ 3 T_ 5 T_ 7 T_ 12 T_ 2 T_ 8 T_ 1 T_ 9 1 GRIPS UTokyo Hitotsubashi Osaka Kyoto Kyushu _Manchester Sussex ASU CMU GWU Georgia Tech Duke Michigan Princeton UNU-MERIT Stellenbosch _POLY(Grad) METU(MS) METU(Ph.D) HSE 2

(T_2) law, legal, conflict, regulatory

environment space

(T_3) market technological, work

METU

Technology and work organization 61.9%

(T_4) management, buisiness, strategy, company

METU Technology and

Corpo-rate StCorpo-rategy 43.2% HSE Business Model Innovation 38.5%

(T_5) application, design, property, intellectual, right, trademark

METU Intellectual

property rights and regulation 87.5% HSE Intellectual

Property Management 32.5%

(T_6) environment, change, energy, climate Michigan Environmental psy-chology for public policy 39.4% Sustainable Energy Systems

37.6%

(T_7)STI development, economic, global, regional

UNU-MERIT Financing Social

Protection 53.2% The Global Challenge: Beyond Poverty and Inequality 36.0%

(T_8) innovation, knowledge, technology, pol-icy, evaluation

METU Knowledge

and Technology Transfer in Innovation Systems 72.2% Inno-vation Policy and Governance: Trends and Challenges 50.3%

(T_9) policy, public, political, decision, intervention Michigan Epidemiology, Health Services & Policy 46.6% Georgia Tech

Research Design in Policy Science 30.1%

(T_10) research, lecture, learn, study

Negotiation and agreement

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GRIPS Introduction to

Quantita-tive Methods 44.8% UNU-MRIT Regression Analysis

38.8%

(T_12) student, class, develop, seminar

ASU Advanced Science and Technology

Policy 43.7% UNU-MRIT Introduction to Analysing

Sociotechnical Systems 37.6%

(T_10)

5.2

2

METU(MS Ph.D), HSE, POLY(Grad) 4 , T_8 1 , Michigan CMU , T_6 T_9 1 UNU-MERIT , STI T_7 , , 1 , , , ,

6

SciREX (LDA) ,

(SPIS: Science Policy and Innovation Studies) Martin[1]

, Martin[1]

*5

SciREX

[1] Ben R. Martin. The evolution of science policy and innovation studies. Research Policy, 41(7):1219–1239, 2012. doi: 10. 1016/j.respol.2012.03.012. [2] , , , , , and . . , 28(1), 2013. [3] JST CRDS. . JST CRDS , CRDS-FY2017-RR-03, 2017. URL http://www.jst.go.jp/crds/report/ report04/CRDS-FY2017-RR-03.html.

[4] Asako Okamura, Shinano Hayashi, Hitoshi Koshiba, Hi-roki Tanaka, and Yui Nishimura. Identifying core

ques-*5 Martin[1] , (SPIS:

Science Policy and Innovation Studies)

, , , , (i) ; (ii) ; (iii) ; (iv) ; (v) ; (vi) ,

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tions for STI studies: An exploratory international com-parison of syllabi. In Science, Technology and

Inno-vation Indicators 2017 (STI2017), Paris: ESIEE, 2017.

URL https://sti2017.paris/wp-content/uploads/ 2017/11/sti-2017-book-of-abstracts.pdf.

[5] Asako Okamura, Shinano Hayashi, Hitoshi Koshiba, and Yui Nishimura. Mapping the educational content of the science of science, technology, and innovation policy: an interna-tional comparison. In Science, Technology and Innovation

Indicators 2018 (STI2018), Leiden: CWTS, 2018. URL

https://hdl.handle.net/1887/65313.

[6] David M. Blei, Andrew Y. Ng, and Michael I. Jordan. Latent dirichlet allocation. JMLR, pages 993–1022, 2003. URL http://www.jmlr.org/papers/v3/blei03a.html. [7] Xuan-Hieu Phan and Cam-Tu Nguyen. GibbsLDA++ : A

C/C++ implementation of latent dirichlet allocation (LDA), 2007. URL http://gibbslda.sourceforge.net/. [8] Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas

Mikolov. Enriching word vectors with subword information.

Transactions of the Association for Computational Linguis-tics, 5:135–146, 2017. arXiv:1607.04606.

[9] Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. FastText.zip: Com-pressing text classification models. arXiv preprint, 2016. arXiv:1612.03651.

A

STI

:

1 GRIPS Innovation, Science and Technology Policy Pro-gramme (GIST), National Graduate Institute for Policy Stud-ies (GRIPS) * Master’s and doctoral level degree pro-grammes.

2 Science, Technology and Innovation Governance Pro-gramme (STIG), The University of Tokyo *Certificate pro-gramme.

3 Innovation Management Policy Programme (IMPP), Hitot-subashi University *Certificate programme.

4 Programme for Education and Research on Science and Technology in Public Sphere (STiPS), Osaka University and Kyoto University * Joint certificate programme.

5 Center for Science, Technology and Innovation Policy Stud-ies (CSTIPS), Kyushu University * Certificate programme.

:

6 MSc Innovation Management and Entrepreneurship, Manchester Institute of Innovation Research, The Univer-sity of Manchester Alliance Manchester Business School (Manchester).

7 Science and Technology Policy MSc, Science Policy Re-search Unit (SPRU), School of Business, Management and Economics, University of Sussex.

:

8 Master of Science and Technology Policy, Consortium for Science, Policy & Outcomes (CSPO), Arizona State Univer-sity (ASU).

9 Energy Science, Technology and Policy (EST&P), Institute of Technology, Department of Engineering and Public Policy (PPP), Carnegie Mellon University.

10 International Science and Technology Policy Master of Arts, Elliott School of International Aﬀairs, Center for Inter-national Science and Technology Policy (CISTP), George Washington University.

11 Master of Science in Public Policy, School of Public Policy, Georgia Institute of Technology.

12 MIT Graduate Certificate Program in Science, Technol-ogy and Policy, School of Engineering, Engineering Sys-tems Division, Technology and Policy Program (TPP), Mas-sachusetts Institute of Technology (MIT).

13 Master of Arts in Bioethics & Science Policy, Duke Initiative for Science & Society, Duke University.

14 Science, Technology, and Public Policy Program: Graduate Certificate Program, Gerald R. Ford School of Public Policy, University of Michigan.

15 The Program in Science, Technology, and Environmental Policy: Ph.D. Program, Woodrow Wilson School of Public and International Aﬀairs, Princeton University.

:

16 Master of Science in Public Policy and Human Development, United Nations University (UNU-MERIT), Maastricht Uni-versity.

:

17 Mphil/PhD in Science and Technology Studies, Centre for Research on Evaluation, Science and Technology, Stellen-bosch University. †

:

18 MSc/PhD Département de mathématiques et de génie indus-triel, Polytechnique Montréal. †

:

19 MSc/PhD Science and Technology Policy Studies, Middle East Technical University (METU-TEKPOL). †

:

20 Bachelor Course, Ghent University. †

:

21 PhD in Economics and Management of Innovation and Tech-nology, Bocconi University. †

:

22 Master’ Programme in Governance of Science, Technology, and Innovation, Institute for Statistical Studies and Eco-nomics of Knowledge, National Research University Higher School of Economics (HSE). †