Placement Algorithm discontinued

Using machine learning to predict where resettled refugees are likely to thrive

Airbel is piloting and scaling an innovative machine learning algorithm developed by the Stanford University Immigration Policy Lab that matches refugees in areas where they are likely to thrive when resettled.
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Placement Algorithm became inactive following this stage

education

EdTech Global Landscape Analysis

The research identified six EdTech innovation trends that represent patterns of approach we observed across many individual global projects. Accompanying each innovation trend are 2-3 case studies that illustrate how...

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economic-wellbeing

Local Manufacturing of Medical Supplies in Northwest Syria

Northwest Syria

Open source designs, local manufacturing, and business support can enable a localized supply chain of critical medical equipment while also supporting the market and providing income to families in economic...

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empowerment

Service Delivery for Mobile Populations

Jordan

As people displaced by the Syria crisis begin returning to their homes, new approaches will be needed to deal with the unprecedented scale of returns.

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empowerment

Urban Housing

Jordan

Rapid urbanization in many parts of the world has led to a great deal of challenges ensuring the availability of adequate housing. In the Middle East, this is coupled by...

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This project became inactive following the Design Research phase

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innovative-finance

Crisis Risk Finance

Global

IRC’s work on crisis risk finance seeks to develop a blueprint for how organizations can reorient more of their resources and processes to be better prepared for, and how the...

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innovative-finance

Defining and driving innovative finance

Global humanitarian budgets are not keeping pace with our clients’ needs and aspirations. Airbel is designing and testing new approaches to raising finance, and impactful new ways to use funds...

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innovative-finance

Financing Refugee Crisis Response

Together with the Centre for Global Disaster Protection, Airbel is working to assess the potential to use risk-based financing approaches to respond to refugee influxes.

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This project graduated following the Generate Solutions phase

empowerment

Information Flows

Jordan

Displaced people live in challenging circumstances where accurate information can become difficult to obtain. Strengthening information flows can aid in decision-making and make their circumstances easier to manage.

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This project graduated following the Generate Solutions phase

empowerment

Placement Algorithm

United States

Airbel is piloting and scaling an innovative machine learning algorithm developed by the Stanford University Immigration Policy Lab that matches refugees in areas where they are likely to thrive when...

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This project became inactive following the Generate Solutions phase

economic-wellbeing

Trade Accelerator

Focused support for Jordanian businesses to foster rapid growth and help them tap into the European market and hire refugees to do so.

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This project became inactive following the Generate Solutions phase

health

Virtual Baby

This portable game would let children earn points for raising a happy baby, teaching them about sexual health and nutrition.

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This project became inactive following the Generate Solutions phase

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empowerment

Ask Laila

A hotline, SMS, and web-based service to help resettled refugees get quick answers from a trusted local source - in their own language.

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This project became inactive following the Prototype phase

education

Audio-Class System

Colombia

The Colombian education system is struggling to support an unprecedented influx of students in the midst of a global pandemic. To respond to the crisis, the IRC created an innovative...

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health

Dela

Liberia, Democratic Republic of Congo

Dela aims to be an open-source mobile application that connects community health workers and their supervisors with a consistent channel of communication, to improve the quality of services delivered through...

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empowerment

Games for Diversity and Inclusion

Airbel worked closely with colleagues in the Asia Region to prototype approaches to increasing diversity and inclusivity in our workplaces through mechanisms with wide appeal, that can be easily integrated...

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This project graduated following the Prototype phase

health

Medicine Bank

Jordan

People with low income in Jordan often struggle to access the medicine they need. This solution is aimed at making supply chains more efficient to reduce the cost of pharmaceuticals....

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health

InforMH

Jordan

Leveraging people’s existing practices to bridge the information and stigma gaps that prevent people from seeking mental health and psychosocial support.

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education

Pop-Up Learning Tanzania

Tanzania

With more students out of school around the world due to COVID-19 than ever before, we need solutions that ensure the hardest-to-reach children receive quality education. The IRC is delivering...

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health

Sprout

Niger

Over 16 million children under the age of 3 are afflicted by severe acute malnutrition. To pinpoint the most impactful prevention methods, Sprout is experimenting with 3 distinct approaches.

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This project graduated following the Prototype phase

education

Spark

Tanzania

Spark creates alternative learning spaces outside of refugee camp schools to practice play-based learning and social-emotional skills with primary school children.

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This project became inactive following the Prototype phase

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empowerment

IRC Connect

United States

In partnership with Twilio.org, Airbel is developing an SMS-based system to streamline communication between caseworkers and newly-settled refugees as they adapt to their new lives in the United States.

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This project graduated following the Pilot phase

education

Coach Erevu

Tanzania

Coach Erevu is a virtual teacher coaching program designed to empower teachers to learn and practice social-emotional learning activities that they can use in their classrooms.

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This project graduated following the Pilot phase

health

Low-Literacy Malnutrition Tools

South Sudan

In hard-to-reach areas local community health workers are key to treating malnourished children. Commonly used tools for diagnosing and treating malnutrition have been adapted to meet the needs of workers...

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This project graduated following the Pilot phase

health

Micronutrient Condiment

Kenya

Two billion people are affected by micronutrient deficiencies worldwide. One third of them are children. We aim to introduce an affordable product inspired by existing porridge preparation practices for sale...

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education

Pop-Up Class Tanzania

Tanzania

Pop-Up Class Tanzania is an after-school digital learning program where children learn on personalized game-based learning software called onecourse and Kitkit School.

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innovative-finance

Resettlement Revolving Fund

In this new model for refugee resettlement finance, a self-sustaining fund provides countries with finance for refugee resettlement, and is replenished as refugees fuel economic growth.

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This project graduated following the Pilot phase

education

Tunakujenga

Tanzania

Tunakujenga is a family learning program designed to empower caregivers to engage in nurturing and playful parenting to support their children’s social and emotional development.

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This project graduated following the Pilot phase

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education

EmpaTeach

Tanzania

EmpaTeach is a project that aims to reduce corporal punishment in low resource settings by helping teachers learn positive discipline methods, change destructive thought patterns, and plan ahead for positive...

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This project graduated following the Rigorous Evaluation phase

safety

Real Man Challenge

Liberia, Uganda, Peru

The Real Man Challenge is a mobile messaging campaign that engages men with an aspirational and positive masculine identity to prevent intimate partner violence. It sends WhatsApp messages to men...

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education

Pop-Up Learning Bangladesh

Bangladesh

Pop-Up Learning is a tablet-based computer-assisted learning program, aimed to mobilize quickly and efficiently on the onset of crisis.

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safety

Becoming One

Uganda

Becoming One is a counseling program designed to bring couples closer and prevent intimate partner violence. The program is delivered in partnership with local faith leaders, who guide couples through...

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health

ComPAS: Combined Protocol for Acute Malnutrition Study

South Sudan, Kenya, Somalia, Mali, Chad

The current malnutrition treatment is inaccessible for 4 out of 5 acutely malnourished children globally. A new combined approach is simpler, less expensive, & offers more comprehensive treatment, with the...

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other

Dioptra

Dioptra simplifies the process of conducting cost analyses, helping humanitarian and development actors make use of limited resources in a transparent and effective way.

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economic-wellbeing

Match

Jordan

Working to counter the high rates of unemployment that follow mass displacement, the Match project in Jordan is testing a set of new innovations for placing vulnerable populations and refugees...

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education

Ahlan Simsim

In this historic effort, IRC and Sesame Workshop have partnered to help children whose lives have been uprooted by the war in Syria to build brighter futures.

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Moving somewhere new is challenging under the best circumstances. It’s especially difficult for refugees, who are driven from their homes by conflict or major threats. Refugee resettlement offers one of the most transformative opportunities to those affected by conflict. When refugees are resettled in the United States, resettlement agencies like the International Rescue Committee determine where to send refugees and caseworkers have played a critical role in helping refugees adapt to new places.

The community where refugees are placed is generally dictated by need and availability. But data shows what common sense states: different people are likely to succeed in different circumstances. Enter the placement algorithm - a collaboration between Stanford and the Airbel Center that analyzes historical data on refugee demographics, local market conditions, individual preferences and outcomes to generate predictions that suggest an ideal location for resettled refugees. This actionable information can then be used to inform decisions about where to place refugees in the U.S. We ultimately aim to scale this approach to help identify where we can place refugees globally.

April 2020 | Project placed on hold due to COVID-19

Given the pressing needs faced by vulnerable populations, this project was placed on hold while we address the COVID-19 outbreak.

June 2018 | Cross-agency partnership established

The IRC will work with Lutheran Immigration and Refugee Service and other potential resettlement agencies to rollout a pilot of the algorithm.

Resource

March 2018 | “Moonshot” pitch to a16z

Matching becomes one of the cornerstones of how we pitch a “global resettlement” vision; now, we want to match both within countries, and across them.

Resource

January 2018 | Stanford publishes algorithm results

Stanford completes a backtest of the algorithm on IRC data, and the results are incredibly positive, with certain simulations leading to a doubling of employment at 90 days for resettled refugees.

Resource

November 2017 | Matching algorithm emerges among top ideas

After design workshops, brainstorms, and a look at IRC’s US Resettlement outcomes data, IRC and Stanford’s IPL convene to prioritize among the early ideas. The Matching Algorithm is treated as a “no-brainer.”

Resource

August 2017 | Design sprints in US Resettlement offices

Design sprints take place in Oakland and San Diego offices, interviewing refugees, caseworkers, and volunteers.

June 2017 | IRC / Stanford Collaboration kicks off

This represents one of the first big Airbel partnerships with an academic institution and design thinking capabilities.

Resource

The Airbel Impact Lab at IRC is a team of researchers, strategists and innovators committed to the accelerated design, rigorous evaluation and cost-effective scaling of the most impactful solutions supporting people affected by crisis.