Research Metrics Workshop 2017

Date: Dec. 04-05, 2017
Place: Seminar Room 5, The Institute of Statistical Mathematics, Tachikawa, Tokyo


Aim

Various problems are being discussed by researchers and practitioners of IR (Institutional Research). This workshop mainly focuses on how to apply statistical method for problem especially scientific performance evaluation. To measure performance of research institute, scientific citation indexing service are widely used. The data used this services is can be viewed as big network structure. Serval talks introduce new techniques to detect useful information from large citation network based on network analysis and statistical inference. Our final goal is to establish best practices in IR by a statistical approach. As for analysis tools, various kinds of application software are now being widely developed by computational statistics community. Theses software have powerful visualization function and capability of database manipulation. As a topic of this session, it is included useful visualization method and database for IR related systems.


Program

Monday, 04 December
Room: Seminar Room 5
10:00
|
10:10
Opening
10:10
|
11:00
Comparing co-authorship networks along time and across scientific fields: An analysis based on parameter distributions
Paula Brito (Universidade do Porto)
11:00
|
11:50
A Study of the Article Citation Network in Statistics Research Community
Frederick Kin Hing Phoa(Institute of Statistical Science Academia Sinica), Livia Lin-Hsuan Chang(Graduate University for Advanced Studies) and Junji Nakano(The Institute of Statistical Mathematics)
11:50
|
13:10
Lunch
13:10
|
14:00
How to extract particular author’s papers from an academic document DB
Tomokazu Fujino (Fukuoka Women’s University), Keisuke Honda (The Institute of Statistical Mathematics) and Hiroka Hamada (The Institute of Statistical Mathematics)
14:00
|
14:50
Research Metrics for evaluating "ATSUMI"
Amane Koizumi (National Institutes of Natural Sciences)
14:50
|
15:10
Break
15:10
|
16:00
Structure of Members in the Organization to Induce Innovation: Quantitatively Analyze the Capability of the Organization
Yuji Mizukami (Nihon University) and Junji Nakano
16:00
|
16:50
Clustering of research subject based on stochastic block model
Hiroka Hamada, Keisuke Honda, Frederick Kin Hing Phoa and Junji Nakano
16:50
|
17:30
Discussion

Tuesday, 05 December
Room: Seminar Room 7
10:00
|
12:00
Discussion (invited members only)


Host Organization: The Institute of Statistical Mathematics, ISM
Co-Host Organization:
Research Organization of Information and Systems, ROIS
National Institutes of Natural Sciences, NINS
Secretariat: ISM URA Station: ask-uraアットマークism.ac.jp