data science in bangladesh disaster response - field trip (msc thesis)

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Linking disparate datasets and applying ‘data mining/machine learning’ to create actionable information FOR THE PROFESSIONAL AND RESPONDING COMMUNITY IN THE DISASTER RESPONSE AND PREPAREDNESS PHASE

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Linking disparate datasets and applying ‘data mining/machine learning’ to create actionable information FO R T HE PR O FE SSIONA L A ND R E SPO NDING CO MMUNITY IN T HE DISA STE R R E SPO NSE A ND PR E PA R E DNESS PHA SE

Story about myself WHO IS R O B E R T MO NNÉ ?

My road till now…

• BSc Business Administration

• …Too broad

• MSc Business Informatics

• Focus on: DATA

• Aiming for a big consultancy or technology firm

• But….

• Why don’t we apply technology in a developing country?

• My vision: Tech can be a catalyser for rapid growth

• My advantage: I get to apply innovative ideas in a environment where it’s not applied before…

Agenda

• Problem definition

• What is data linkage?

• What is data mining?

• Examples of envisioned prototype

• Goals of trip

Problem definition

• Information overload

• Iteration of JNA and D-Form is quite long

• What if needs change?

• Information gap

JNA

D-Form

FFWC

OSM/Maps

Etc etc….

Professional Disaster Responders

Affected/Responding Community

???

???

???

3 building blocks

Master Thesis

Information Need

Data linkage

methods

Data mining

methods

Interviews

Literature Research

Expert Interviews

Literature Research

Prototype

Data Sources

Data linkage

Issues: temporal/spatial component, difference in source, format, quality etc. etc.

Data Mining and Machine Learning

• Finding novel patterns in datasets to create value

• Creating actionable info from several large PDF’s

• Clustering customers in marketing

Data Information Knowledge

Envisioned prototype examples

• Visualising needs

• Predicting needs

• Advice for shelter or location of relief goods

• Delivered value:

• Knowing the real and urgent needs of affected

• Increased coordination among actors (from a fragmented approach)

Prototype (possible) data sources

• JNA

• D-Form

• TamTam project data

• Telephone data

• Social media data

• Open street map data

• Etc?

Trip goals:

• Discovering information need

• Technological context

• Identifying data sources

• Identifying data mining opportunities

Link to TamTam

• TamTam could use the data I collect in the field (e.g. the information needs of disaster responders)

• TamTam could use the data fusion/linkage and data mining methods I use in the prototype

• My prototype could use the data TamTam aims to collect

Do you want to help? I want to interview these people:

Community Organization Role

Professional Concern Universal Disaster Response Coordinator

Disaster Preparation Coordinator

Ground level responder

MMS

Oxfam

Practical Action

Responding Local Disaster Responders Imams

Teachers

Entrepreneurs

UISC/Digital centre entrepreneurs

Volunteer Disaster management

committees

Private Companies

Government Union Parishad Disaster Response Coordinator

Disaster Preparation Coordinator

Ground level responder Union Disaster Management

Committee

Upazila Disaster Management

Committee

Ansar and Village Development

Police