iccm 2013 ignite session 2

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Slides from the 2013 International Conference of Crisis Mappers in Nairobi, Kenya. Learn more at crisismappers.net

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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

Yale School of Forestry and Environmental Studies

Thank you!

@BessieSchwarzBessie.Schwarz@yale.edu

@pazjusticiavidaElizabeth.Tellman@yale.edu

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: contact@mapkibera.org

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

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