Challenges and Issues of EstablishingTransdisciplinary Approach
Rajib ShawProfessor, Keio University, Japan

Distinguished Professor, Indian Institute of Technology (IIT), Guwahati, India
Distinguished Professor, IDMR, Sichuan University, China
Visiting Professor, Indian Institute of Science (IISc), Bengaluru, India

Academia

Co-Chair, United Nations Asia Pacific Science Technology Advisory Group (AP-STAG)
Coordinating Lead Author (CLA), Asia Chapter, IPCC 6th Assessment Report

Science Policy interface

Co-Founder, Resilience Innovation Knowledge Academy (RIKA) https://rikaindia.com
Co-Founder, RIKA Institute https://www.rikainstitute.org

Start-up and innovation

Chair of Board, SEEDS Asia https://www.seedsasia.org
Chair of Board, CWS Japan https://www.cwsjapan.org

NPO / NGO

www.rajibshaw.org

ANDwww.rikaindia.com

Defining Trans-disciplinary

Multi and Trans-disciplinarity in Disasters

Going beyond the academia
Trans-disciplinary and Trans-stakeholders

Being “accountable” and “responsible” for our researchBeing socially responsible and accountable
Survey of 3,500 researcher around the world

Inequality, misinformation
Public trust / Researcher’s public role

• Formalize communication training• Establish communication intermediaries• Formalize science advisory institutions

Atami Landslide July 2021
10:30
Landslideab(July 3, 2021)

10:45 Video
upload inSocial media

12:00
Prefecturalemergency HQ

13:30 Request
to fire service
request

15:41 FB
messengergroup
16:00 Location
identification
for use of point
cloud data

18:23 3Ddamagevisualization

12:00AM Disaster Control Headquarters established10:30 AM Debris flow occurrence
2nd 12:00AM Landslide Alert Information
2nd 6:29AM heavy rain warning
181614121086420
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

1st Julyc

2nd July

3rd JulydExperts of:Drone, Big data (Data Science),
Remote sensing,
Point cloud data analysis (xR)
Disaster Risk Reduction Regime in Japan:
An Analysis in the Perspective of Open Data, Open
Governance (Kanbara and Shaw)
Sustainability 2022, 14, 19
https://www.mdpi.com/2071-1050/14/1/19

19:48 Reportto Vice
Governor

23:30
Reconfirmation
with airborne
radar data
11:34 G-Space
information on
affected area
was posted(July 4, 2021)

Open Data, Open Governance
Challenge

Covered Area
Satellite
Drone
Crowdsource

Recommendation
Principle

Big Server for Point Cloud
GlobalNational Government• Characterizing “open” and “usable” data
• Local governance system• Co-creation to co-delivery(data sharing, analysis, interpretation)• Data democratization(grass-roots approach of data management)• Interpreting disaggregated data throughcommunity engagement

Baseline data Census
Global regulation rule
Basic Law

Local Government

Open by default

Local governance system
Decision Making

Locally owned
Characterizing “open” and “usable” data

Data democratization

Accessible, licensed and documented
Capacity
Literacy

Civic TechTools

Consensus building

Co-created
Communicated in ways that meet the needs of diverse users
Community
Affected Area

Invisible
Risk

Interpreting disaggregated data through community engagement

Virtual Community

Trans-disciplinary approach (TDA): issues and challenges• Trans-disciplinary approach starts with a specific field problem which needs tobe addressed• The concept of disciplines is also evolving: traditional versus emerging
disciplines• “Data” often becomes a key barrier: open data, open governance is the critical• Focusing on young researchers and young practitioners is critical to leadinnovation in TDA• Being a socially responsible researcher is the key to TDA and it needs somespecific ecosystem with incentives to foster TDA