DT4DDISRUPTIVETECHNOLOGIES FORDEVELOPMENT PROGRAM

2019 CHALLENGE RESULTS

Table of Content

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1. DT4D Program Background

2. DT4D 2019 Challenge Results

DT4D Program Background

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1.

DT4D Program at a Glance

Multiplier Effect:The Program is designed for scalability and impact. Solutions are linked to WBG

portfolio of operations. When solutions are successful, they can be implemented

across the world through WBG portfolio.

The Challenge:Disruptive Technologies (DTs) are transforming the world but very few of these

technologies are being designed and deployed to solve development challenges.

Objective:DT4D Program will solve critical development challenges by identifying, funding, and

piloting scalable disruptive technology solutions in World Bank Group operations.

The fund focuses on Critical Development Challenges, defined as those that:

• Present leapfrogging opportunities for countries (e.g., off-grid rural power solutions)

• Persistent and recurrent challenges across regions and or sectorial (e.g., transport,

agriculture, etc.) context for which traditional approaches do not work

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DT4D Program

Operation & Expected Results

2019 Outputs

• 258 submitted proposals

• 215 eligible proposals

• 22 shortlisted proposals

• 10 winners awarded $150K to be implemented

over 12 months (June 30, 2020)

The initiative takes place in the form of a competitive call for proposals from WBG teams.

Operation1. Sourcing

Challenge call through WBG platform

2. ConnectingWBG staff links operations with DT

solutions to create proposal

3. SelectingProposals selected based on strategic

criteria to maximize impact

4. TestingTechnology solution implemented on the

ground with real developing challenges

5. MultiplyingSuccessful solutions are scaled globally

through WBG portfolio

• Mechanism to mainstream disruptive

technologies across GPs and regions

• Expected 5-10 scalable solutions at the regional

or sectoral portfolio level

• Awareness and connections strengthened

between WBG projects and technology providers

Objectives

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DT4D Program

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DT4D Program

DT4D 2019 Timeline

Call for Proposals

February 2019

Short-list Evaluation

Final Evaluation and

Selection of Proposals

Results of DT4D Pilots

Implementation of Pilots

GlobalScalability

through WBG PortfolioApril

2019

May2019

June2020

DT4D Partnerships

Integrated Partners• CEO Office/Agile

(Design and processes)

• CIO Office/Technology &

Innovation Lab (Deep-Tech support)

• IFC (Tech Emerge) (Private sector partnership)

2019 Call

Contributing Partners

DT4D

DT4D brings together internal and external partners to advance disruptive technology adoption and

integration at the WBG.

Pipeline <> Partners• AI in Health

• IoT/GSMA

• Digital Development

Partnership

• ID4D

• Data Collaboratives

• European Space Agency

(ESA) WBG Programs

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DT4D Program

DT4D 2019 Challenge Results Overview

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2.

Frontier disruptive technologies applied to challenges

Roughly 40% of all proposals propose a solution focusing on the use of AI/ML or Data Analytics.

Over a third are dedicated to Geospatial Technologies, or DL/Blockchain, or Digital Platforms.

Every 4th proposal pitches a solution based on either IoT, or VR/AR, or UVAs.

(8) 4%

(8) 4%

(10) 15%

(10) 5%

(11) 5%

(27) 13%

(27) 13%

(28) 13%

(36) 17%

(44) 20%

ICTs

Computer/Mobile Applications

UAVs

Virtual Reality/Augmented Reality

IoT

Digital Platforms

Distributed Ledger/Blockchain

Geospatial Technologies

Data Analytics

AI/Machine Learning

TOP 10 disruptive technologies (DTs) across ALL proposals (#, %)

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DT4D 2019 Call Results

Every 6th proposal focuses on various Governance issues. [Governance includes those proposals with government and procurement issues (e.g. Blockchain to better trackprocurement transactions), and social accountability issues (e.g. lack of feedback loops whenever gov't services are provided), or that argued for a better governance practice(e.g. AI/ML for better design of banking regulations).]

Every 10th on Financial inclusion or Education.

About half proposals focus on the themes include (in the descending order): Transport, Entrepreneurship & Markets, Health & Nutrition, Environment & Natural ResourceManagement, Water & Sanitation, Agriculture, or Disaster & Risk Management.

The above themes, dominating in 83% of the proposals, are then followed by (in the descending order): Jobs & Social Protection, Urban Development, Tourism & Logistics,Energy, Macroeconomics, and Youth & Gender.

Proposals Address a Diverse Set of Development Challenges

(32) 15%

(24) 11%(23) 11%

(18) 8% (18) 8%

(16) 7%(15) 7%

(12) 6%

(10) 5% (10) 5%

Governance Education Financial Inclusion Transport Entrepreneurship &Markets

Health & Nutrition Environment &Natural Resource

Management

Water & Sanitation Agriculture Disaster & RiskManagement

Top 10 Themes across All Proposals (#, %)

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DT4D 2019 Call Results

A third of all proposals focus on Africa. Half of them target the world’s poorest economies, “IDAcountries”. Close to a quarter cover the countries and territories considered fragile, conflict-affectedand/or affected by violence, “FCV”.

Geographic Distribution of Proposals

All received proposals by regional distribution Share of retained proposals focusing on IDA and FCV countries

AFR (76) 32%

EAP (37) 15%SAR (34)

14%

LAC (29) 12%

ECA (23) 10%

MENA (19) 8%

Global (24) 10%

Africa (AFR)

East Asia & Pacific (EAP)

South Asia (SAR)

Latin America & Caribbean (LAC)

Europe & Central Asia (ECA)

Middle East & North Africa (MENA)

Global

NB: 21 proposals are cross-regional

FCV (49)23%

IDA (108) 50%

FCV

IDA

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DT4D 2019 Call Results

Proposals’ Implementation Country Distribution

Top 10 Countries # of proposals

India 16

Kenya 14

Vietnam 11

Indonesia 10

Brazil 8

Colombia 8

Mozambique 8

Uganda 8

Myanmar 7

Nigeria 7

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DT4D 2019 Call Results

Geographic Distribution of Top 4 Top Technologies

AI/ML/Data Analytics

(62 countries)

Digital Platforms

(37 countries)

DL/Blockchain

(20 countries)

Geospatial Technologies

(20 countries)

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DT4D 2019 Call Results

VPUs and GPs Proposals’ Distribution

NB: As some proposals are cross-GP, the sum of proposals per GP may not equal to the total proposal number of the VPU

VPUs Proposal Distribution (%, #)

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DT4D GPs Participation

EFI (73)33%

SD (70) 31%

HD (50)22%

INF (31)14%

2.6% (6)

3.0% (7)

3.0% (7)

3.5% (8)

3.5% (8)

4.8% (11)

6.1% (14)

6.1% (14)

7.4% (17)

7.8% (18)

9.6% (22)

11.3% (26)

13.9% (32)

17.4% (40)

EXE

MTI

AGR

Pov

DD

SPJ

Health

ENR

Water

Trans

Gov

EDU

SURR

FCI

GPs Proposal Distribution (%, #)

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FCI

ITS

Gov

Pov

DD

SURR

AGR

SPJ

Trans

Wat

EXE

MTI

Health

EDU

DEC

IFC

ENR

FCV

Gender

Climate

Change

Collaboration among GPs and Internal Groups

The GPs/Groups with larger presence on teams were Governance, ITS and FCI, followed by DEC, Poverty and SPJ, and a third group formed by SURR, DD, IFC, Transport, Education, and Water.

The most central GP (the one with more connection among a larger diversity of other GPs - i.e., larger variation of collaboration) was SUUR, followed by Governance, Poverty, IFC and DD.

Note: This figure shows the social network map from DT4D proposals. Circles represent number of team members in DT4D proposals. The larger the circle, the more team members from the GP were part of DT4D proposals. Lines represent a connection among GPs through a joint team for a DT4D proposal. The larger the line, the more joint teams a GP has with other GP. The map is gravitational, representing the more connected GPs (the ones with more connections across other GPs) at the center of the map, and the less connected ones (GPs with very little diversity of connections to other GPs) at the fringes.

DT4D GPs Participation

DT4D Winner Proposals

TitlePortable

Benefits

Platforms

Drones for

Transport in

Africa

AI against

crisis and

conflict

Green and

Blue

Footprints

Tool

Safety tech to

improve labor

force

participation

for women

Disrupting

Corruption

and Money-

Laundering

in Brazil

Disaster

Preparedness

Through

Smartphone

Location Data

Blockchain

for Youth

Engagement

DTs for

detecting

dams and

determining

deformations

Kaizen 2.0:

Microlearning

with a Digital

Brain

Region

West Africa

(Pilots in Benin

and Côte

d’Ivoire)

East Africa (Pilot

in Lake Victoria

Basin, Tanzania)

Somalia,

Afghanistan,

Northern

Nigeria, and the

Sahel

IndonesiaIndia Brazil

Mexico and

Indonesia Colombia Angola Kenya

Technology Digital Platforms

Unmanned

Aerial Vehicles

(UAVs)

Artificial

Intelligence /

Machine

Learning

(AI/ML)

Geospatial

technologies,

AI/ML

Mobile

applicationsData analytics Data analytics

Distributed

Ledger/

Blockchain

Geospatial

technologies,

AI/ML, Data

Analytics,

Remote

Sensing

Massive Open

Online Courses

(MOOCs)

SectorSocial Protection

& Jobs

Finance,

Competitiveness

& Innovation;

Transport;

Social, Urban,

Rural, &

Resilience;

Digital

Development

Agriculture;

Health, Nutrition

& Population;

Poverty

Environment

& Natural

Resources;

Social, Urban,

Rural, &

Resilience;

Digital

Development;

Water

Education;

Finance,

Competitiveness

& Innovation;

Social Protection

& Jobs; Digital

Development

Governance

Social, Urban,

Rural, &

Resilience

Social

Protection;

Digital

Development

Agriculture;

Energy;

Social, Urban,

Rural, &

Resilience;

Water

Finance,

Competitiveness

& Innovation

Description

A digital-benefits

platform de-

linked from a

formal

employment

contract

Cargo drones to

speed up

deliveries and

connect the

excluded along

Tanzania’s Lake

Victoria Basin

AI-powered

nowcasting of

food security,

prices, and

livelihood

conditions

Tool that can

delineate

geospatial

data on

footprints of

urban green &

blue spaces

Providing women

with a private

safety response

system to

facilitate work

force participation

Anti-

Corruption/

Anti-Money

Laundering

Decision

Support

Systems

Use of

smartphone

location data to

gain granular

new insights for

disaster

management

Use of

blockchain to

disburse

incentives to

students

developing

skills to solve

environmental

challenges

Use of DTs to

identify and

inventory

existing dams

and

systematically

monitor their

deformation

Use of traditional Japanese Kaizen principles, as well as of microlearning platforms for productivity improvement of SMEs

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General Window SFLAC Window Japan ASA Window

Note: DT4D 2019 Challenge had 3 windows: (1) General window, (2) Latin American window funded by SFLAC, and (3) Japan ASA window.

DT4D Program

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For more information, please contact:

Victor Mulas

Vmulas@worldbank.org

DT4DSecretariat@worldbank.org