Presentation at the Social Computing and Crisis in the New Information Age ISC Intelligence in science event

1. Social Computing and Crisis in the New
Information Age
Marc van den Homberg, 8th of October 2013
marc.vandenhomberg@tno.nl

2. Topics HFM-RWS 241 “Social Media and
Information Technology for Disaster and Crisis
Response”
Current practices in information sharing
Novel technologies for information sharing and disaster information
coordination
Social trust, social cyber-threats, and related socio-culture aspects
Development of an exercise in information sharing in a disaster
scenario.

3. Current practices in information sharing
Source: UN OCHA
Humanitarianism in the network age, 2013,
Nethope report 2010

4. New practices…

5. New practices,
social media
Traditional
practices
of
information
sharing

6. Challenges of information sharing between
affected and supporting community
Multitude of data sources
Coupling of traditional with social media data
Aggregation and validation of data
Information not well adapted to local context
(illiteracy, language, documented expertise vs storytelling)
Technology gap
Using too advanced technology which does not ‘reach’ communities
Often one-way communication, with a very limited feedback loop
Collaboration gaps
Reluctance between actors to share information
Professionals versus volunteer communities

7. Novel technologies for information sharing and
disaster information coordination

8. Community based comprehensive recovery
www.cobacore.eu

10. Collaboration gaps right after a disaster

11. From
external
response to
community
driven
crisis
response
Current response models
mostly between affected
community and responding
professionals
responding
professionals
affected
community
resilient
community
COBACORE includes
the interaction with
responding community
responding
community
individual and collective capabilities
individual and collective needs
10
COBACORE; EU FP7 project No. 313308

14. Expert finder

15. Pluralism monitor
Media mining
Press freedom
Zimbabwe
Global
Expert panel for validation
(media experts, a.o. IPDC UNESCO)
Data
acquisition
Annotation
Analysis
Interpretation

16. SENTIMENT
ATTENTION
TOPICS
ACTORS
Topics (e.g., agriculture, politics,
economy)
Election news or not
Foreign news versus national and
local news
Specific events
Regions
Individuals
names
affiliations (with groups in society)
gender of individuals
pro or against government
function (MP, minister, ..)
political party
government versus opposition
Groups
religious
ethnic
NGO
political party
Tone (positive/negative)
Use of hate speech

17. Incremental supervised learning architecture
Online news
incremental learning
Text analysis
engine
Topic
detection/
classification
Annotation
DB/KB
Sentiment
analysis
supervision
Named entity
recognition

18. Demo: text mining on news data in action!

19. Twitcident
Filtering social media
(tweets) to obtain real-time
intelligence for support of
operational emergency
services. Also for prevention
and analysis.

22. Contact details
Marc van den Homberg
T
+31 88 8667135
Senior business consultant ICT4D M
+31 6 51069884
Oude Waalsdorperweg 63,
2597 AK Den Haag
E
marc.vandenhomberg@tno.nl
The Netherlands
S
marcvandenhomberg