Dr. Anil K. Gupta (Moderator)

Sreeja S. Nair (Moderator)

Dr. Sandhya Chatterji (Consultant)

Dipl.-Biol. Peter Bank (Coordinator)

Dr. Klaus Roeder (Trainer)

• NIDM - National Institute of Disaster Management (Training Host)
• GIZ - Advisory Services for Environmental Management (Involved)
• InWEnt - Capacity Building International gGmbH (Training Provider)
• ifanos concept & planning - India (Involved)
• DMI - Disaster Management Institute, Bhopal (Involved)

Introduction of the blended learning methodology to ATIs, SDMAs, CSOs
Use of available statistical information to improve preparedness, response to disasters and relief and recovery after disasters

• Participants are familiar with blended learning methodology and requirements and are able to promote the approach.
• The members of the target group analyze the risk scenario with the help of available information. The course enables participants to consult available statistical information and narrow the risk scenario accordingly. The participants inform users about risk scenarios and create awareness of presumptive victims of disasters in the target areas.
• Participants’ skills to present statistical data to a laymen audience are enhanced.

ATIs express their interest in expanded blended learning offers.
The course participants consult independently and with confidence available information for the target areas. Their awareness of the risks increases (visibility of risk awareness). The response to this type of disasters is quicker (Response time reduction); the number of fatal victims is reduced over time.

Methodology workshop “InWEnt Blended-learning approach in perspective of DRM related Capacity Building in India”:

The workshop will introduce the specific features and advantages of the blended learning methodology. Best practices and experiences of InWEnt will be presented and discussed.
Methodology and promotion of such courses as well as discussion of infrastructural and resources requirements will form an important part of the workshop.
The course will include the following topics:

• General introduction to the InWEnt blended-learning approach and the internet platform Global Campus 21 as an e-learning and blended-learning tool
• Features of blended-learning and best practice examples
• How to design a blended-learning approach? In general and specifically for DRM

Blended learning course: “Use of Statistics for Disaster Risk Management “

Module 1: Introduction to Statistical Terminology

• Reason and the methods to collect data on flood and agricultural drought to improve knowledge and decision making based on information
• An example scenario from Bihar using descriptive statistical indicators like mean, median and standard deviation
• Applying indices and graphs to example and exercises and learn about interpretation of graphs
• Describing risk periods and areas for example and exercises

Module 2: Use Statistical Information on recent and passed disasters

• India and the international scenarios: use of information on past disasters (frequency, repetition pattern)
• Risk of principal disasters in India : use of maps and connect to graphs displaying frequency and severity of disasters
• Frequency and Impacts of principal disasters in India: use of existing statistical data and identify disaster prone periods, and areas and relative secure periods
• Selected areas of disasters in India and their frequency, impacts and reactions

Module 3: Understand “Cause and Effects” of disasters described by statistics

• Use of information on fact-based figures for selected States and Districts (calculate shares and increases / decreases for different sectors, tests of hypothesis)
• Use statistical methods (use correlation and relation to Disaster Risk Management) to estimate dependencies and predictions
• Apply linear and multiple Regression with existing statistical data and learn to identify “causes and effects” of disasters in statistical terms
• Use exploratory factor and principal component analysis apply the related methods to analyze the relationship to various components of pre-disaster, response and post-disasters for earthquakes in India
• Understand limits of “causes and effects” in statistical terms

Module 4: Case Study and classroom workshop

• Case Study WebQuest will be prepared, solved or completed by participants invited for the joint classroom workshop. The case study will be completed by the participant during the joint classroom workshop. This will give room for referring to and solving content and subjects treated in and during the participation of the e-learning phase. It is recommended to include a holistic use of module contents in the case study and the related WebQuest, but participant can pick special subjects or focus their case study on specific interest elements, s long as the relation to the use fact based information is in evidence.
• The formal classroom session will give room for repetition of subjects of the e-learning contents and allow recessing subjects requested by the participants, if this is considered by the facilitators to be of common interest during this course.
• A handout or user manual comprising the techniques, tools and methods of statistics encountered during the e-learning phase, will facilitate comprehension and repetition.
• Each participant should bring its own case study. This will improve understanding and most important, to put fact based in formation and acquired knowledge into practice for the improvement of a specific Disaster Risk Management problem.