Download - ICCM 2013 Ignite Session 2
Ignite Session 2@CrisisMappers #ICCM
Beth Tellman@pazjusticiavida
What can cloud computing & science do for crisis
mapping?
The Opportunity:
Real Time Synthesis of Crisis Situations
The Opportunity:The Challenge:
NOAA flood risk zone on Google Crisis Maps, For South Carolina March 30th, 11:30pm
Red Cross:Where are
shelters? What are road
conditions?
Making decisions from a blob
Farmer Brown:Should I move my chickens to higher
ground?
The Opportunity:
Science allows us to answer these questions
The Potential:
NOAA flood risk zone on Google Crisis Maps, For South Carolina March 30th, 11:30pm
Social Scientists from Charleston College:
Census data indicates who is vulnerable!
Hydrologist from University of South Carolina: We should at least identify the floodplain
High
Medium
LowWhere is the risk?
A Solution:Refining risk prediction to make it
relevant on time
Farmer Brown:
“I will not waste money moving my chickens. Phew!”
On the Fly
In the Cloud
Bessie Schwarz Social Science
Beth TellmanHydrology
Socio-ecological Approach to Vulnerability
Hazard Vulnerability
Biophysical Risk
SocialRisk
The Science:
Biophysical Indicators of Vulnerability
1. Low Elevation2. Low Slope3. High % Impervious Surface4. Large Watershed Size
Where is the flood?
Social Indicators of Vulnerability
1. High % of young children
2. High % of elderly3. Poverty4. High population density5. Low community cohesion
Dr. Susan Cutter, Social Vulnerability Index (SoVI)
Google Earth Engine API
EE API Code to Refine the Flood Risk Zone
Our Socio-ecological Risk Model
Total Number of Counties in High Risk Zone: 4At risk County with most people: WeldState: ColoradoNumber of people affected: 88,569
Floods in Boulder, Colorado, September 19th
High
Medium
Low
Socio-ecological Risk Surface Layer in Google Crisis Maps
High Risk
Vulnerability
High
Medium
Low
Socio-Ecological Risk Surface for Kenya
1,355,740 at risk for flooding
Open Data on Geophysical and Infrastructural Risk
InaSAFE
Google Crisis Map’s Flood Risk Layer
Socio-EcologicalVulnerability Layer
• Highest flood risk (3,163,156 people)
Typhoon Yolanda/Haiyan
Programmers + Scientists + Disaster Managers
Magic
Safy Nurhussein@usaidoti
Ghislain Mariette/AFP/Getty Images
Violent ConflictPolitical ConflictAlliance Broken Alliance
AP
CONFLICTS & ALLIANCES
IN MALI
Ghislain Mariette/AFP/Getty Images
Violent ConflictPolitical ConflictAlliance Broken Alliance
AP
CONFLICTS & ALLIANCES
IN MALI
The Guardian
INFORMATION CAMPAIGNS
PEACE CARAVAN
ENCOURAGING PEOPLE TO VOTE
Al Jazeera
Al Jazeera
Xinhua
Reuters
Reuters
INFORMAT ION SERV ICES WERE
MORE POPULAR THAN EXPECTED
AFP
HELPING VOTERS FIND THEIR BOOTHS
Safy Nurhussein@usaidoti
Raquel Romanolinkedin.com/in/romano
www.google.org/crisismap/a/.maps
www.google.org/crisismap/a/.maps
WMS Tile Cache
WMSServer
memcachedatastore
tile request/tileset/12/35/64.png
“How do I use the map? What does it mean?”
“How old or new is this information?”
“I see something different than what this map says.”
~1200 replies from Sandy aftermath alone
“How do I use the map?
“What does it mean?”
“How old or new is this information?”
HTTP/1.1 200 OKDate: Mon, 11 Nov 2013 03:20:15 GMTServer: Apache/2.2.15 (Red Hat)Last-Modified: Mon, 11 Nov 2013 03:19:06 GMTAccept-Ranges: bytesContent-Length: 527849Cache-Control: max-age=300Expires: Mon, 11 Nov 2013 03:25:15 GMTConnection: close
<?xml version="1.0" encoding="UTF-8"?><kml xmlns="http://www.opengis.net/kml/2.2"> <Placemark> <name>Google NYC/name> <description> We are here. </description> <Point><coordinates>40.740709,-74.001999,0</coordinates> </Point> </Placemark></kml>
{'fetch_last_modified': 'Wed, 18 Sep 2013 07:52:56 GMT','update_time': 1379490776,'fetch_time': 1384140805.4296601,'md5_hash': 'ce6c149147ad9af28d611fa1acdf113b','fetch_status': 304,'fetch_length': 0,'length': 100837}
“I see something different than what this map says.”
“I see something different than what this map says.”
How should I share what's going on with my contacts outside the city? What is my employer advising us to do? What is my school or teacher advising us to do? Will I lose my job if I leave? How much will it cost to evacuate? How do I move my elderly or sick loved one? What is everyone else in my neighborhood doing? Are they evacuating? Where would I evacuate to? What do city/parish officials advise? What do trusted local newscasters think? How does this storm compare with others that I've experienced? How severe is it? What is the path of the storm? What is the status of evacuation routes? What options are there if I have no car? How should I prepare my home for a potentially long-term evacuation? What stores are still open for last-minute supplies? What supplies do I need to ride out the storm? What are the essential things I need to take for a potentially long-term evacuation? Where can I get food and supplies along my evacuation route? Where are all of my friends and family? How can we let everyone know where we ended up? And check in with those who stayed behind? What are the essential things I need to know about my destination? How to keep sick/elderly/young children safe on the road? Where can I get medical care along my evacuation route? Contact information for emergency services where I ended up. What hotels and shelters have space? Who has gas? Where are the open ATMs on my evacuation route? What is the wait time at stores and other service centers? Where are the contraflow routes? Where are the backroads and alternate routes to avoid congestion? How to tap into charities and donations to ease the cost of evacuation? How do I stay in touch with people if the phone are lines down? How can I share the news about what's happening with the outside world? Who else in my neighborhood is also staying? Where can I get news updates specific to my neighborhood? Where should I store my possessions? Are there are authorities in my area sticking around (in case I need help)? What services are still up and running (e.g. police, fire)? If my home floods, where is the nearest safe place? Is there anyone around that needs shelter? Where is everyone and what is their status? Where can I get medical help? What pharmacies are open? How do I care for the sick or injured if there aren't medical facilities near by? How can I alert the outside world to conditions in my area? What are the announcements by city/local officials? What resources does my community have so we can share? How to alert others to resources I've found? When will the national guard or police be here (for safety)? How safe are the conditions in my area? How do I keep my area safe? When will power be back on in my area? Where in the area is there still power? Where is there WiFi? My home is destroyed - where can I find shelter? Where can I get a hot shower? Where can I find ice (to keep food fresh)? Where can I find clean water? What stores are open and what supplies do they have? Where can I get food? How do I keep my food supply safe from spoilage? Where can I wash my clothes? Where can I get cleaning supplies? Where can I get coupons for food, basic necessities? What is the wait time at stores and other service centers? Where can I go to get donations (clothes, etc.)? What are the requirements and deadlines for financial aid? What kind of aid can I qualify for? How can I dispute a rejection for aid? How can I keep track of where my applications stand? If I apply for one type, will I be disqualified for another? I've lost important documents in the storm. What are the steps to building a new life elsewhere? I need to find a new job or source of income since my job went with the storm. Where can I get mental health or spiritual help for PTSD? What are the steps in rebuilding a damaged home? Are there new construction regulations? Where can I get home repair supplies? What health issues should I watch out for (bad water, chemicals in home)? How to deal with toxins and mold in my home? Who in community has working resources (washing machine, car) to share? How to get the city to resume services, e.g. garbage pick-up? If services such as schools remain closed, where do I send my kids? How can I lobby for services such as libraries and schools to be rebuilt? Where can we get fresh food (especially if I have no car)? How do we keep our neighborhood safe from thieves? I was robbed/my place looted during the storm. How can I get my stuff replaced? How do I get around the city if public transport is down and I don't have a car?
bit.ly/create-a-map
www.google.org/crisismap/a/.maps
Kim Scriven@kimscriven
RAPIT FTRUNICEF – RAPID
FTR
IFRC Two
WASH for Children
Tradi t ional methods st i l l have re levance
Innovat ion not synonymous with technology
How we see innovation
flickr/masondan
Donor governments
Donor organisations
UN agencies
3rd party military
Government agencies
Red Cross Movement
Recipient countryNational Rec
Cross/Crescent
International NGOs
Private donors
Local NGOs
General public
(recipient countries)
Affected population
Reso
urce
s
Info
rmati
on
Donor governments
Donor organisations
UN agencies
3rd party military
Government agencies
Red Cross Movement
Recipient countryNational Rec
Cross/Crescent
International NGOs
Private donors
Local NGOs
General public
(recipient countries)
Affected population
Reso
urce
s
Info
rmati
on
The system does have enormous capaci ty to del iver and save l ives
…and changes in the nature and contexts of response
In response ton increas ing
hazards an needs…
The system needs to cont inue to evolve
How it tries to change
Quality, learning, accountability and
advocacy
SphereHAP
ICVA
JSI
ALNAPThematic
development
HIV-AIDS Gender
Rights
Structure
ClustersDecentralisation
Joint action & partnerships ECB
WEF
Capacitybuild
Business practices
CERFHC
Media
“ I f you a lways do what you a lways d id , you w i l l a lways get what you a lways got”
How we see innovation
flickr/masondan
Skunkworks
Hugely successfu l
C losed, protected team of dedicated experts , separate
f rom core businessHigh fi nancia l investment in
Research and & Development (based on use of patents)
SkunkworksOpen
Innovat ion
flickr/cattoo
flickr/cattoo
Open Innovat ion
Drawing on the edges
See r isk and h igh levels of fa i lure as inevi table and better
shared
Reduced cost of conduct ing research and development)
AnswersActually, more questions…
THREECollaboration
Have a go at these
Engaging usersAccepting failure and risk
Thank you!
Kim Scrivenwww.humanitarianinnovation.org@kimscriven
Mutitu Raphael@mutituR
GIS (GEOGRAPHIC INFORMATION SYSTEM) applications in smart phones and open source mapping soft wares for DRR(DISASTER RISK REDUCTION)…
NAIROBI VS KENYA MAPPING COMPARISON
What Mapping strategy????
Populating maps with data for DRR
CHEAPQUICKEFFECTIVE
+ +
TRAININGS
GIS APPS IN SMART PHONES:
Data collection
OPEN SOURCE MAPPING SOFT WARES:
DATA ANALYSIS
DatabaseWeb-platform
FOLLOW UP:
FRONT LINE SMS(TRIGGER ZONES)
ZONE 1
ZONE 2
ZONE 3
ZONE 4
Sms
TRIGGER ZONES
FIRE RISK STUDY IN KIANDUTU SLUMS THIKA.
APPLICATIONSDecision making.
Informational purposes.Academic work and research.
EXTENSIVE MAPPING FOR FREE OPEN MAPS FOR ALL.
THANK YOU
Helena Puig Larrauri@helenapuigl
Mapping tools for field teams
Iraq Dispute Monitoring System
Libya Protection Monitoring System
Mapping tools for field teams
Iraq Dispute Monitoring System
Libya Protection Monitoring System
Iraqi Centre for Negotiation and Conflict Management
Dispute monitoring
Analysing patterns of disputes
Analysing patterns of disputes
Crowdmap + Excel
Crowdmap + Excel
Libya Protection Monitoring Team (Mercy Corps and LibAid)
Libya Protection Monitoring Team (Mercy Corps and LibAid)
Analysing patterns of need
Analysing patterns of need
Google Fusion Tables and Google Crisis Map
Google Fusion Tables and Google Crisis Map
Making maps for programming
Make less work!
And make it super cool.
Make less work!
Making maps for programming
Adapt to what already works
Making maps for programming
And demonstrate added value.
Adapt to what already works
Making maps for programming
Making maps for programming
Start a conversation
Making maps for programming
Start a conversation
And challenge assumptions
Abeer Khairy@beeromagied
• 9.1% of gov. expenditure on Education
• 20% Illiterate Man.
• 38% Illiterate Woman.
• The Background Picture Are a Black board
and desks!
Education Without Borders
Challenges:
• Introducing Crowdsourcing Model.
• Internet Access
• Mapping Skills
• Verification for inaccessible areas.
• Engaging Actors with the platform.
Education Without Borders
Sudanese teachers in Darfur
irevolution.net/2009/04/09/threat-and-risk-mapping-analysis-in-sudan
Japanese Project for the improvement of water sanitation at schools in Sudan
Education Without Borders community after ‘hit and run’ school maintenance
Child Friendly Cities UNICEF Sudan
Johanna Khisa@jvkenya @peacegeeks
AMANI
REPLICABLE STANDARDIZED EASY INTERFACE
TEXTMAPS
LAYOUT
+
= ?
OUR CHALLENGE
Create 1-click install CMS and mapping tool
EASE
CMS
MAPS CONTACTS
REPORTING
LOCALE UPGRADES
MOBILE
SPEED
PARTNER NEEDS
PLAN B
CMS DASHBOARD
MAP DATA
CUSTOMIZATION
AMANI KESHOREPORTING
CAMPAIGNS
LOCALIZATION
DONATIONS
THEMES
M&E
APP
FORWARD LOOKING
WE ARE READY TO
CollaborateDevelopPartnerImplement
Amani demo at the Tech Fair
github.com/peacegeeks/amaniwiki.peacegeeks.org.org
peacegeeks.org@peacegeeks @jvkhisa
Kepha Ngito@Ngitok
Map Kibera
Voice of Kibera
Voice of MathareMathare
Kenya Elections 2013
Elections monitoringMethodology
a.) Planning and training
b.) Data collection and editing (OSM)
c.) Mapping - Boundaries - Polling stations - Police posts/stations - Emergency Humanitarian centers
d.) Map printing and distribution
e.) SMS and video reporting.
f.) Offline engagement (wall paintings etc)
Methodology
a.) Planning and training
b.) Data collection and editing (OSM)
c.) Mapping - Boundaries - Polling stations - Police posts/stations - Emergency Humanitarian centers
d.) Map printing and distribution
e.) SMS and video reporting.
f.) Offline engagement (wall paintings etc)
Elections monitoringMethodology
a.) Planning and training
b.) Data collection and editing (OSM)
c.) Mapping - Boundaries - Polling stations - Police posts/stations - Emergency Humanitarian centers
d.) Map printing and distribution
e.) SMS and video reporting.
f.) Offline engagement (wall paintings etc)
Methodology
a.) Planning and training
b.) Data collection and editing (OSM)
c.) Mapping - Boundaries - Polling stations - Police posts/stations - Emergency Humanitarian centers
d.) Map printing and distribution
e.) SMS and video reporting.
f.) Offline engagement (wall paintings etc)
Civic engagementMap Kibera joined other organizations to form the Kibera Civic Watch Consortium which among other things;
a.) Organized the first Kibera Parliamentary Candidates debate
and
b.) Interviewed all political candidates on camera about their commitments and promises.
Community engagementa.) Regular community screening forums where short films were watched and debated by participants.
b.) Feed back forums where data and blog stories are shared offline to invited community members and leaders.
c.) Map printing and distribution to organizations and agencies that need them.
d.) Map painting on community walls and open spaces.
Community engagementa.) Regular community screening forums where short films were watched and debated by participants.
b.) Feed back forums where data and blog stories are shared offline to invited community members and leaders.
c.) Map printing and distribution to organizations and agencies that need them.
d.) Map painting on community walls and open spaces.
CollaborationsMap Kibera collaborated with the Uchaguzi elections Monitoring project and Ushahidi.
a.) Sharing workspaces
b.) Verifying information together and working with each other’s sources.
c.) Sharing data-bases of Humanitarian intervention institutions/agencies
CollaborationsMap Kibera collaborated with the Uchaguzi elections Monitoring project and Ushahidi.
a.) Sharing workspaces
b.) Verifying information together and working with each other’s sources.
c.) Sharing data-bases of Humanitarian intervention institutions/agencies
Success stories
• Map Kibera’s Security maps used by Police and Peace builders to enhance security and promote peace in the local neighborhoods.
Printed Maps were distributed to the Police, The local administration and the District Peace Committees in both locations.
• Map Kibera successfully used its methodology and tools to monitor the 2013 general elections in Kibera, Mathare and partially in Mukuru slums reducing likelihood of violence to almost zero in these election hotspot locations.
• Since Map Kibera began focusing on dangerous or ‘black spots’ and mapping them in Kibera and Mathare, New police posts have been constructed in response.
• Kibera and Mathare slums are now open more open and accessible than before. Generated map data has made development agencies and devolved government committees enhance their intervention approaches to minimize duplication of projects and design more relevant interventions.
• Several agencies, researchers and organizations continue to approach Map Kibera for more data on various thematic subjects covered by Map Kibera’s mapping.
“Your maps have saved my life, You should do this allover the country!”
Kilimani Police Station OCPD on receiving a copy of the new elections map in Kibera.
February 2013.
CONTACT US
Email: [email protected]
www.voiceofkibera.orgwww.voiceofmathare.org www.voiceofmukuru.org
www.mapkibera.org
Carlos Castillo@ChaToX @QatarComputing
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Goal: to sort tweets into different categories in real-time
How do you classify 200+ tweets/minute?
Option 1: process what you can
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
How do you classify 200+ tweets/minute?
Option 2: lists of keywords“Disaster” or “Damage” or … or “Bridge” but not “Game” or … “Donation” and “Money” but not … or “Missing person” or “Missing people” or “Missing” and “child” … and “Tornado alert” and “Tsunami alert” and … and … or … and … but not …
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Artificial Intelligence
SupervisedLearning
…
…
…
Supervised Learning
• Label a small number of tweets– Crowdsourcing
• Convert tweets to numerical vectors– Feature extraction: not seen by the user
• Create a mathematical model of each class– Statistical learning: not seen by the user
• Automatically categorize new elements– Output to be used by maps, reports, etc.
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Supervised learning for Twitter
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Challenges
• Effectiveness and generality– Classify accurately for each crisis– Work well across crises
• Easy to use!
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it may perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ All work and no play makes Jack a dull boy ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it might go bananas or stop working during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets
Collector: easily create Twitter collection processes by geographical coordinates, keywords or #hashtags.
Changes to keywords or geo region are stored for future reference.
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Tagger: easily create automatic classifiers for your collection. Each classifier has its own set of categories.
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
You can ask volunteers to provide training labels , or create them yourself .
1
2
12
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Clickers:AIDR automatically creates a publicly-visible landing page for volunteers.
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
This is what volunteers see: one tweet after another, with a series of options. Tweets to classify are selected by AIDR to maximize accuracy gains.
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Behind the scenes, AIDR learns words and how to use them to classify tweets, e.g. “katyperry” => ~no, “secrecy” => ~yes, etc.
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Experiments
Output
• Export to .csv from the Collector– For off-line analysis
• Live data feed in JSON format– For creating crisis maps, reports, etc.
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
AIDR: Artificial Intelligence for Disaster Response http://aidr.qcri.org/
Example application: Crisis Tracker
Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it may perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it will perform poorly or not at all during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets ∙ All work and no play makes Jack a dull boy ∙ Easy to use through a web-based interface ∙ Available for beta-testing ∙ As most systems it might go bananas or stop working during the testing phase ∙ Free and open source software ∙ Implements supervised learning for disaster-related tweets
http://aidr.qcri.org/
Thanks to the AIDR team: Muhammad Imran, Jakob Rogstadious, Ji Lucas & Patrick Meier. Qatar Computing Research Institute.
Justine Mackinnon@fidget02
MicroMappers.com
Photo
Video
Text
MicroMappers.com
Hospital devastated #Tacloban
VOLUNTEERS
PLEASE SEND AN EMAIL OR SMS TO AT LEAST ONE OF YOUR VOLUNTERERS AND SAY THANK YOU FOR DOING WHAT YOU DO
AND FOR WHO YOU ARE!!
A HUGE SHOUT OUT AND THANK YOU
Thank you for participating in ICCM 2013!
Many thanks to our sponsors!
CrisisMappers 2013