COURSE SYLLABUS ……………………………………………………………………… Methodology and Informatics for Sustainability Science Course code: VJU6002 Numbers of credits: 3 Prerequisite courses: None, but the first lectures will be shared with the lectures of “Basics of Sustainability science” to understand the basic idea of sustainability science Teaching language: English Lecturers 5.1 Lecturer 1: Mai Trong Nhuan, Former President of Vietnam National University, Hanoi; Professor; VNU-HUS 5.2 Lecturer 2: Bui Quang Thanh, Vice Dean/Lecturer; Doctor of Geography; VNU-HUS 5.3 Lecturer 3: Nguyen Thi Thuy Hang, Vice Dean/Lecturer; Doctor of Geography; VNU-HUS 5.4 Lecturer 4: Yanagisawa Masayuki; Associate Professor; Doctor of Agriculture; Center for Integrated Area studies, Kyoto University Email: masa@cias.kyoto-u.ac.jp 5.5 Lecturer 5: Shibayama Mamoru; Professor Emeritus; Doctor of Engineering; ASEAN office, Kyoto University 5.6 Lecturer 6: Venkatesh Raghavan; Professor, Doctor of Engineering, Osaka City University 5.7 Lecturer 7: Kato Atsufumi; JICA Expert/ Lecturer; PhD; Vietnam Japan University Course objective To equip learners with comprehensive way of thinking, interdisciplinary approach, basic theory and methodology of sustainability science, exploring data, analysis and interpretation of data; To develop capacity of learner to integrate enormous scientific knowledge accumulated in the related disciplines and systemize them to apply for the current complicated issues in the world and the related fields, to find and implement solutions of sustainability in the specific contexts Expected learning outcomes ● 7.1 Knowledge competence Basic understanding of sustainable science, field science, Basic information analysis, Basic spatial and temporal analysis, Basic statistical analysis ● 7.2 Skills Evaluate sustainability using an evidence-based disciplinary approach and integrate economic, ecological, and social perspectives Outline a general approach to framing and solving sustainability problems ● 7.3 Ethics Think critically about sustainability across a diversity of cultural values and across ● ● multiple scales of relevance from local to global Recognize and assess how sustainability impacts human lives and how human actions impact sustainability Assessment methods/Grading system 8.1 Attendance & class participation Students are expected to participate actively and constructively in class Weight: 10 % (evaluated through class discussion engagement) 8.2 Mid-term & final exams ● Mid-term exam: 20% ● Final exam: 40% ● Group project: 30% Leaning materials 9.1 Required textbook and other material 1) Burrough P.A., McDonnell R.A., Principles of Geographical Information Systems (Spatial Information Systems) Oxford University Press, 1998 2) Hiroshi Komiyama, Kazuhiko Takeuchi, Hideaki Shiroyama and Takashi Mino Sustainability science: A multidisciplinary approach, UNU Press, Tokyo, 2011 3) Achieving global sustainability:Policy recommendations Edited by Takamitsu Sawa, Susumu Iai and Seiji Ikkatai United nations University Press, 2011 4) Shibayama Mamoru, “Development of Area Informatics: A New Paradigm in Area Studies Introduction,” Southeast Asian Studies, 40(4), pp492-496, 2009 5) de Smith M.J., Goodchild M.F., Longley P.A., Geospatial Analysis, 5th Edition, http://www.spatialanalysisonline.com/HTML/, 2015 9.2 Reference material 1) Bell S., Stephen Morse, Sustainability Indicators; Measuring the Immeasurable, Earthscan, ISBN: 978-1844072996, 2008 2) Bhattacherjee, A., Social Science Research: Principles, Methods and Practices, Textbooks Collection, Book University of South Florida, http://scholarcommons.usf.edu/oa_textbooks/3, 2012 3) Fahy F., Henrike Rau, Methods of sustainability research in the social sciences, Sage Publications, Singapore, 2013 4) Franklin A., Paul Blyton (ed), Researching sustainability: a guide to social science methods, practices and engagement, Earthscan from Routledge, London, 326 pp, 2011 5) Lang D.J., Wiek A., Bergmann,M et al, “Transdisciplinary research in sustainability science: practice, principles, and challenges”, Sustainability Science, 7(1), pp 25-43, 2012 6) Mamoru Shibayama, “Medieval East-West Corridor in Mainland Southeast Asia”, Advancing Southeast Asian Archaeology 2013, SEAMEO SPAFA Regional Centre for archaeology and Fine Arts, Thailand, pp.423-431 and pp.458-461, 2015 7) Trochim, William M, The Research Methods Knowledge Base, 2nd Edition http://www.socialresearchmethods.net/kb/, 2006 10 Course description The course is divided into three parts, (1) basic approach and methodology of sustainability science, (2) area informatics approach as a new field of interdisciplinary studies, and (3) social scientific approach for sustainability science 10.1 Basic approach and methodology for sustainability science Approaches of sustainability science (Transdisciplinary, interdisciplinary approach; Systematic/ holistic approach) Design principles for transdisciplinary research in sustainability science Sustainability assessment methodologies and methods Problemstructuring methods based on a cognitive mapping approach, Integrative analysis, consensus-building processes, policy instruments, public deliberation Technology governance science and technology communication Integration of existing academic disciplines for sustainability science Creation of knowledge for action 10.2 Area informatics approach as a new field of interdisciplinary studies for sustainability science Area informatics is a new approach to integrate area studies and informatics in order to link different types of data, such as local and global, individual and universe, qualitative and quantitative, descriptive and numerical, etc Various data would be turned into information when interpreted by users In another word, information is discovered from data And then, knowledge would be created through integration of information Learning the integrated process from data to knowledge, students will be able to theoretically and practically learn about interpretation of data, data mining from big data, visualization for data integration, and how to combine between empirical data and theory for sustainability science 10.3 Social scientific approach for sustainability science This part will offer basic concepts, principles, and a systematic and critical review of established and emerging methodological approaches as well as tools of the integrated investigation of sustainability questions In that way, learners can understand the appropriateness of new technology and findings to the local conditions to apply scientific outcomes to real world for implementing sustainable society 11 Course contents Content Introduction Principles and Conceptual model of an ideal–typical transdisciplinary research process ● Exploring data; ● Analysis and interpretation of data ● Integration of knowledge Chapter 1: Approach, methodology of sustainability science 1.1 Design principles for transdisciplinary research in sustainability science 1.2 Sustainability assessment methodologies and methods 1.2.1 Indicator of sustainability; 1.2.2 Sustainability assessment; 1.2.3 Vulnerability assessment 1.3 Problem-structuring methods based on a cognitive mapping approach 1.4 Integrative analysis 1.5 Consensus-building processes 1.6 Policy instruments 1.7 Public deliberation 1.8 Creation of knowledge for action Chapter 2: Informatics and spatial analysis for sustainability science 2.1 Fundamental of Area Informatics 2.1.1 What is informatics? Considering the condition data is obtained helps to understand background and characteristic of the data, which enables user more advanced information processing 2.1.2 What are area studies? 2.1.3 Concept of Area informatics 2.2 Area informatics approach: 2.2.1 Integration of spatial information: How to overlay various information, how to weight an important characteristic on the total image of area 2.2.2 Integration of chronological information 2.2.3 Discovering knowledge from data mining and visualization 2.3 Spatial analysis 2.3.1 Conceptual Frameworks for Spatial Analysis · Basic Primitives · Spatial Relationships · Spatial Statistics · Spatial Data Infrastructure 2.3.2 Methodological Context · Analytical methodologies · Spatial analysis as a process · Spatial analysis and the PPDAC model ( Problem, Plan, Data, Analysis, Conclusion) · Geospatial analysis and model building · The changing context of GIS Science 2.3.3 Spatial analysis and GIS · GIS functionalities · GIS data model · Geometric and Related Operations · Queries, Computations and Density · Distance Operations · Directional Operations · Grid Operations and Map Algebra · Raster-based processing · Vector-based processing 2.3.4 Spatial statistics · Spatial pattern distribution · Point pattern · Line pattern · Polygon pattern · Spatial pattern test 2.4 Open source solutions for sustainability science Chapter Social survey/ methods in sustainability science 3.1 Area studies, anthropological fieldwork research and informants 3.2 Basic of empirical research 3.2.1 Research design 3.2.2 Measurement of constructs 3.2.3 Scale reliablity and validity 3.2.4 Sampling 3.3 Data collection and analysis 3.3.1 Data collection Survey research Experimental research Case research Interpretative research 3.3.2 Data analysis Qualitative analysis Quantitative analysis: Descriptive Statistics Quantitative analysis: Inferential Statistics 12 Course schedule ● Parallel with “Basics of sustainability science (from Sep until Sep.13) No Date Lecturer Title & content Sep.8 Prof Dr Mai Trong Nhuan, VNU Climate change adaptation and sustainability, Shared lecture with the common subject “Basic of Sustainability Science” Sep.8 Prof Kensuke Fukushi, The University of Tokyo Concept of Sustainability Science, Shared lecture with the common subject “Basic of Sustainability Science” Sep.8 Prof Akimasa Sumi, The University of Tokyo Global environment and sustainability, Shared lecture with the common subject “Basic of Sustainability Science” Sep.8 Prof Nobuo Mimura: President of Climate change, Shared lecture with the Ibaraki University common subject “Basic of Sustainability Science” Sep.12/ 13 Prof Kensuke Fukushi, The University of Tokyo Sep.22 Prof Dr Mai Trong Nhuan, VNU Introduction: Prof Nhuan: Principles and Assoc Prof Dr Yanagisawa and conceptual model of an ideal–typical transdisciplinary research process; Masayuki, Kyoto Univ Integration of knowledge Sep.29 Prof Dr Mai Trong Nhuan, VNU Chapter 1: Approach, methodology of sustainability science (combined in lecture on Sep.22) Oct.6 Prof Emeritus Shibayama Mamoru, Kyoto Univ Chapter 2: Informatics and spatial analysis for sustainability science Oct.13 Prof Emeritus Shibayama Mamoru, Kyoto Univ Conceptual Frameworks for Spatial Analysis Shared lecture with the common subject “Basic of Sustainability Science” Methodological Context Oct.20 Dr Bui Quang Thanh, VNU Spatial analysis and GIS Oct.27 Dr Bui Quang Thanh, VNU Spatial statistics Nov.3 Dr Atsufumi Kato (JICA Expert/ Lecturer, Vietnam Japan University) Chapter 3: Social survey/ methods in sustainability science 3.1 Area studies, anthropological fieldwork research and informants Nov.10 Dr Atsufumi Kato (JICA Expert/ Lecturer, Vietnam Japan 3.1 Area studies, anthropological fieldwork research and informants University) Nov.17 Prof Dr Venkatesh Raghavan, Osaka City Univ 2.4 Open source solutions for sustainability sciences 10 Nov.24 Dr Bui Quang Thanh, VNU 3.2 Basics of empirical research Dr Nguyen Thi Thuy Hang, VNU 11 Dec.1 Dr Bui Quang Thanh, VNU Dr Nguyen Thi Thuy Hang, VNU 12 Dec.8 Dr Bui Quang Thanh, VNU Dr Nguyen Thi Thuy Hang, VNU 13 Dec.15 Dr.Yanagisawa Masayuki, Kyoto Univ 3.3 Data collection and analysis 3.3.1 Data collection 3.3 Data collection and analysis 3.3.2 Data analysis 3.3 Data collection and analysis 3.3.2 Data analysis Toward practice of sustainability science: beyond common senses 14 Dec.19 Dr.Yanagisawa Masayuki, Kyoto Toward practice of sustainability 15 Dec.22 Univ science: beyond disciplines Dr.Yanagisawa Masayuki, Kyoto Univ Toward practice of sustainability science: beyond science