MTT29-01

Japan Geoscience Union Meeting 2016

Outreach of geological and geographical sciences using social media in combination with TVprograms*Takashi Oguchi1
1.Center for Spatial Information Science, The University of Tokyo
Social media can be used together with classic media such as TV, radio, and newspapers. Such anapproch may be effective for outreach of geological and geographical sciences. This paper
introduces tweets related to a geographical TV program and indicates advantages of social media
combined with classic media.
Keywords: Social media, TV program, outreach©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-01 -MTT29-02

Japan Geoscience Union Meeting 2016

Classification of the usage of social media in the Geoscience field*Masaki Ito1
1.Institute of Industrial Science, the University of Tokyo
This document classifies presentations in social media session in JpGU of past five years.
Keywords: Social Media, Type of the Usage, Geoscience field©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-02 -MTT29-03

Japan Geoscience Union Meeting 2016

Renaissance of the “TOMOBIKI Night!!” social streaming program for geospatial information
science and technology*Yasuhisa Kondo1, Yuichiro Nishimura21.Research Institute for Humanity and Nature, 2.Nara Women's University“TOMOBIKI Night!!” is a streaming program which was originally broadcasted in 2010–2012. The main
topic of the program was archaeology and geographical information systems (GIS). The program wasbroadcasted from Tokyo in every other tomobiki day of the Japanese lunar calendar system(approximately once in six days). The duration of each program was one hour in average, and thecontents included talk with guests, report of academic/social events, and show of gadgets such aslatest applications and instruments. Ustream was used for the streaming platform, and its social
streaming facility effectively bridged two anchors and audience. The series halted at the 30th
program in July 2012, due to the overwhemingly busy schedule of the anchors.
As one of the anchors moved to Kyoto in 2014, the “TOMOBIKI Night!!” Renaissance Project waslaunched in the Kansai area (including Osaka, Kyoto, and Nara). During the halt, social media havesettled in academia. Streaming videos are taken in scholarly meetings and lectures, and anincreasing number of streaming-oriented scholarly meetings, such as the Niconico Gakkai β[2] andOne-Hundred-Research-Show series, have been convened. The research interests of the anchors havebeen widened towards geography and geospatial information sciences. It is also noted that rescue
operations in the Great East Japan Earthquake in 2011 enhanced collaborations between researchers,industries, and governmental sectors by means of GIS. Following these trends, the new series of“TOMOBIKI Night!!” deal with a wider range of topics associated with geospatial information scienceand technology. The first program of the new series was broadcasted in April 2015. After then,
one-hour live session is broadcasted from either Nara or Kyoto once in several tomobiki days [3].
The structure of the program follows the old series and comprises talk with guests, gadget show,and event news. In addition, an associated streaming program “TOMOBIKI-ja-Night!! GeoGeoWest” [4]is broadcasted from Aoyama Gakuin University in the suburb of Tokyo every Monday during a semester.
Streaming platform can be chosen from Ustream, Periscope, and YouTube Live now. This paper reviews
the first year of the Renaissance Project and discusses the current status and future directions ofsocial streaming programs in the context of drastically transforming scholarly communications.
[1] Kondo, Y., Ako, T. (2012) “TOMOBIKI Night!!” a Japanese Archaeo-GIS Ustream programme.
Demonstration presented at the 40th annual conference of Computer Applications and Quantitative
Methods in Archaeology (CAA). held at Universityof Southampton, 26-29 March 2012.
https://www.ocs.soton.ac.uk/index.php/CAA/2012/paper/view/356 (Accessed 17 February 2016)[2] Niconico Gakkai βChannel http://ch.nicovideo.jp/niconicogakkai (Acccessed 17 February 2016)[3] TOMOBIKI Night!! https://www.youtube.com/channel/UCrGyVZYqz6l0Qwm-jQg4bVw?spfreload=10(Accessed 18 February 2016)[4] AGU GSC on Air https://www.youtube.com/channel/UCrHdfBuNA3qyfLNAPyv3T8w (Accessed 17 February
2016)
Keywords: social streaming, geospatial information, scholarly communication©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-03 -MTT29-03©2016. Japan Geoscience Union. All Right Reserved.

Japan Geoscience Union Meeting 2016

- MTT29-03 -MTT29-04

Japan Geoscience Union Meeting 2016

Operation of the accademic community with the researchmap

Case study of the Japan Consortium for Arctic Environmental Research (JCAR)*Takeshi Terui1, Yasushi Inoue1, Mimi Miyoshi1, Yuji Kodama11.National Institute of Polar Research
Japan Consortium for Arctic Environmental Research (JCAR) was established by arctic environmental
researchers in Japan, and it is a nationwide network-based organization for promoting arctic
environmental research. The number of member is about 400 people, as the same as the medium-sized
academic community. It has already become difficult to take the communication among members, andJCAR office was seeking a new communication tool as a network type organization. We have comparedvarious tools, and selected "researchmap". We create a JCAR community on the researchmap on October
2014, and we have operated it. By using researchmap, it has succeeded in providing the following
functions.
-Deliver news and information via e-mail without mailing list
-Electronic voting-File sharing-JCAR member information sharing
In this presentation, we want to introduce the case study of the academic community using theresearchmap, and share to other academic community.
Keywords: Social Network Service, Communication, researchmap©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-04 -MTT29-05

Japan Geoscience Union Meeting 2016

Social Media GIS to Support the Utilization of Disaster Information for Disaster Reduction
Measures*Kayoko Yamamoto1
1.University of Elctro-Communications
This study aims to design and develop a social media GIS for reducing the effects of natural
disasters in normal times through to disaster outbreak times. This is achieved by designing anddeveloping a social media GIS that integrates a Web-GIS with an SNS and Twitter, and includes afunction for classifying submitted information. The social media GIS enables disaster information
provided by local residents and governments to be mashed up on a GIS base map, and for theinformation to be classified and provided to support the utilization of the information by localresidents. Further, the present study also aims to operate the social media GIS and evaluate theoperation. During normal times when there is no disaster, disaster information is collected via theSNS, and local disaster information is accumulated. Through this, the system aims to improve thedisaster prevention awareness of local residents. Further, during disaster outbreaks when there isan excess of information, if a communications environment (electricity, internet, information
terminals, etc.) can be secured, the system aims to support evacuation activities by automaticallyclassifying disaster information, promptly displaying it on the digital map of the Web-GIS, andensuring its noticeability. Through having people use the system routinely and get used to it innormal times in this manner, the possibility that the system can be effectively used with noproblem as a means for reducing the effects of natural disasters even in tense situations during
disaster outbreaks can be anticipated.
The conclusions of this study are summarized in the following three points.
(1) Social media GIS, an information system which integrates Web-GIS, SNS and Twitter in addition
to an information classification function, a button function and a ranking function into a single
system, was developed. This made it propose an information utilization system based on theassumption of disaster outbreak times when information overload happens as well as normal times.
The system unambiguously has the function for full-screen display of digital map, and the button
function and ranking function of disaster information.
(2) The social media GIS was operated for fifty local residents who are more than 18 years old foreight weeks in Mitaka City, Tokyo. Although about 32% of the users were in their forties, about 30%
were aged fifties, and more than 10% of the users were in their twenties, thirties and sixties ormore.
(3) The system was evaluated based on the results of an access survey using log data during
operation and an analysis of the submitted information. The access survey showed that 260 pieces ofdisaster information were distributed throughout the whole city of Mitaka. Among the disaster
information, danger-related information occupied 20%, safety-related information occupied 68%, andother information occupied 12%.
Keywords: Social Media GIS, Web-GIS, SNS, Twitter, Disaster Reduction, Support for Information
Utilization©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-05 -MTT29-06

Japan Geoscience Union Meeting 2016

Approach to build collective intelligence using SNS in earth science*Kazuo Amano1
1.The Institute of Natural Sciences, College of Humanities and Sciences, Nihon Univ.
The possibility of the construction of collective intelligence using the Internet is recently
discussing, however the approach to collective intelligence in earth science is rear. I will show
the case study of the attempt in the North Ibaraki Geopark, and bring up real problems.
Keywords: collective intelligence, Facebook, geopark©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-06 -MTT29-P01

Japan Geoscience Union Meeting 2016

Effective information transmission of activity in the North Ibaraki Geopark using SNSJun Hosoi1, *Kazuo Amano2
1.Institute of Geology and Geoinformation, Geological Survey of Japan, AIST, 2.The Institute ofNatural Sciences, College of Humanities and Sciences, Nihon Univ.
The 285 guids(interpreters) are active in the North Ibaraki Geopark. They show and discuss theiractivity in own group in the Facebook. The system for transmission of the information of theiractivity using facebook page was constructed. We will present the results and effects of thissystem.
Keywords: SNS, North Ibaraki Geopark, Facebook©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-P01 -MTT29-P02

Japan Geoscience Union Meeting 2016

Use of social media in Geopark*Masato Tokuda1, Noritaka Matsubara1
1.Graduate School Of Regional Resource Management, University Of Hyogo
We report the use of social media in Geopark.
Keywords: Geopark, Social Media, Facebook, Today's Incident, Landscape Photography©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-P02 -MTT29-P02©2016. Japan Geoscience Union. All Right Reserved.

Japan Geoscience Union Meeting 2016

- MTT29-P02 -MTT29-P03

Japan Geoscience Union Meeting 2016

Portal Site for Activities*Hiroshi Miyata1, Noritaka Matsubara2, Masato Tokuda2, Syuuhei Ueta1
1.San-in Kaigan geopark promotion council, 2. Graduate School of Regional Resource Management,
University of Hyogo
Various types of activities are available at the San’in Kaigan UNESCO Global Geopark.
The current problem is that visitors often stress out when they have to visit different websites insearch of necessary information before choosing what they want to do as an activity.
Geo-canoe is one example. There are some geo-canoe businesses in the geopark and they are probably
rivals. But I think one can discover one’s own strength by getting to know the others. By
introducing each other on each website effectively, We can provide useful information with visitorsand expect the boost of economic effects over the entire area.
Aside from geo-canoe, the San’in Kaigan Geopark should prepare many options of different activities
throughout the year to meet visitor’s satisfaction. And the council has created a portal site,allowing visitors to search in a shorter time. CMS function was introduced. The system iscompatible with smartphones for practical use.
Keywords: activity, CMS function, compatible with smartphone, network, homepage©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-P03 -MTT29-P04

Japan Geoscience Union Meeting 2016

Citizen science of aurora*Ryuho Kataoka1
1.National Institute of Polar Research
Human beings have observed unusual variations in the heaven and recorded them through the ages, andpeople in the present day share a large amount of the beautiful digital images via internet. Thepurpose of this study is to utilize these social assets for natural science. More specifically, weconduct 1) archiving the old records about aurora phenomena in historial writings, and 2) a citizen
science of aurora monitoring over the world. In this presentation we report our collaborative
challenge among the humanity, natural science, and citizen science.

©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-P04 -MTT29-P05

Japan Geoscience Union Meeting 2016

I felt it, did you? Sensor network and Social media can collaborate for disastermitigation*Tatsuya Takeuchi1, Ahyi Kim2, Hiroki Uematsu3
1.Yokohama National University, 2.Yokohama City University, 3.Senshu University
Kim et al. (2015) has developed a community based MEMS sensor network in Yokohama. The project aims
to distribute the sensors every several hundreds meters in the area to provide information moreclosely linked to community’s life. The network consists of sensor unit utilizing 12 bit MEMS
sensor and Raspberry pi, which detects strong motion and process the data. In this study, we linked
the sensor network with social media to share the triggering information among the community forfuture disaster mitigation.
In the sensor network, once the strong motion is detected, each sensor unit sends the triggering
information to the main server. After all the information is collected, the server checks thestatus of the sensor unit which didn’t detect the strong motion. As long as it was not break down,the ‘not triggered’ unit will respond to the server to inform “I am safe” means it is working but
didn’t detected a strong motion. Then the information is share via social media among thecommunity. As one can imagine, ‘not triggering’ is very important first order safety confirmation
as well as ‘triggering’.
For the strong motion detection, we utilized the artificial neural network (ANN) as the patternrecognition algorithm. ANN works well under the low signal to noise ratio environment operation.
However, noises which have similar pattern of strong motion signal still make false alarm. To
overcome the issue, it might be helpful archiving both user’s and sensor unit’s triggering
information in the system, and set up the site specific detection algorithm.
Keywords: MEMS accelerometer, Sensor network, Twitter, Facebook, Raspberry Pi, earthquake©2016. Japan Geoscience Union. All Right Reserved.

- MTT29-P05 -