WP5: social dynamics and vulnerability

Debris flow triggered due to heavy rainfall on 09 November 2009 in Ketty area, Ooty. The landslide has destroyed several houses.


Task leads: King's College London, Practical Action UK, Practical Action India, Geological Survey of India

Task 5.1: source and prepare data on vulnerability and impact

Task 5.2: map out institutional landscape

Task 5.3: compile and construct case histories of impact through human-built systems/policy

Task 5.4: compile participatory vulnerability capacity assessments (PVCAs) and assess gaps

Task leads: Amrita, Newcastle University

Task 5.5: develop ontology: social analytic terms related to landslide hazards

Task 5.6: develop multi-source social platform indexing and querying algorithms

Task 5.7: develop high performance data classification/event-detection algorithms

Task 5.8: develop mobile phone app

Key deliverables

LANDSLIP social data analytics framework

In collaboration with the WP2 stakeholder user group:

  • Spreadsheet: vulnerability and impact data summary and links
  • Report: institutional landscape for landslide risk assessment and EWS
  • Report: landslide-related case histories of impact
  • Report: compiled PVCAs and gaps
  • Report: social analytic terms and their development
  • Index and report: social analytic platform index
  • Algorithm and report: data-classification algorithm and event detection
  • SMS protocol and mobile phone app

The first part of WP5 on social dynamics examines several key areas:

  • sourcing and preparing data on vulnerability and impact, using recent landslide events, peer-reviewed literature, grey literature, images, interviews and oral histories
  • institutional landscapes — who is responsible for what? Using documentary analyses, interviews
  • participatory vulnerability capacity assessments, where we compile existing PVCAs. We have already documented a number and have links via our consortium members. We will then assess gaps with our own work, and work with stakeholders to enhance these PVCAs.

In the second part of WP5 we focus on social analytics and SMS protocol. These social analytics address landslide-related events, both historical and real-time that occur during the grant.

The two main types of harvested data are:

  • publically available data
  • mobile phone application data

We will also use these methods to communicate landslide risk assessments and early-warning information to stakeholders. These will enhance other communication methods (e.g., radio, newspaper) linked to WP7.

We estimate 10–15 per cent of the Indian population will be able to currently access internet-based information, with numbers rapidly growing, and that any social analytics we do are in conjunction with the other meteorological, landscape and multi-hazard dynamics.

Task 5.1: data on vulnerability and impact

  • infrastructure, vulnerability, exposure data
  • socio-economic impacts

Recent-past landslide-related events, media, peer-review, grey literature, images, interviews and oral histories.

Task 5.2: institutional landscapes

  • who is responsible for what?

Documentary analysis and interviews.

Task 5.4 PVCAs:

  • compile existing PVCAs at local/district levels
  • work with local stakeholders to enhance PVCAs

Surveys, community participatory workshops and stakeholder spatial vulnerability mapping.

Year Indian internet users
(via any device)
(% of population)
2016* 462 34.8
2015 354 27.0
2014 233 18.0
2013 193 15.1
2012 159 12.6
2011 126 10.1

* = estimate