Sandbox Use Case

Blockchain Technology for Youth Empowerment and Value Exchange

’Sandbox Approach’ framework for use case

"Sandbox" Considerations leveraging Blockchain technology

Token Design - Stable Coin

Open Source

DT4D

Limitations/Restrictions on Data Use/Re-use

Token Design - Distribution of Tokens

Smart Contracts

Public Blockchain

Protection of Personal Data

Potential Risks, Threats, Hazards, Detriments, or

Concerns

Description of Impact

Prioritization of Concern (1-5, 1= highest priority)

Short- and Medium-Term Risk Response/Next

Steps (1 year / 2 years)

DT4D2019-2020 ANNUAL REPORT

Highlights on Covid relevant activities by DT4D teams

• In partnership with the Task Force on COVID Mobility Analytics, the DT4D teams "AI AgainstCrisis and Conflict" and "Enhancing Disaster Preparedness Through Smartphone LocationData" presented at the SD Data clinic on Using Mobile Phone Data to Support Covid-19Response (Mar 2020), sponsored by DIME.

• The teams shared how they are leveraging mobile phone data provided by the DataPartnership Development to support Covid-19 response.

• The event was disseminated to the Lab Leads, Development Data Partnership Team, SelectData Partners, DECDG, DECIS, DECRG, DECIE, ITS Technology and Innovation Lab, GFDRR CityLab, ITS GeoLab, GOST, and Select Colleagues Active in COVID-19 Analytics.

AI Against Crisis and Conflict• The team modelled contagion dynamics of Covid-19 and forecasted spread of the virus to

vulnerable regions like Africa and Eastern Europe• Main premise: Contagious diseases spread through networks(e.g., Air travel, labor mobility, railway

connections)• Methodology: Used a dynamic network effects model developed for financial contagion between banks

Source: Modelling Contagion Dynamics of Covid-19 Presentation given in March 2020

Key component: Time-varying network importanceIf ρt =0: Then the network does not play a roleIf ρt >0: Network explains observed contagion patterns

Result Example of counterfactual shock

DT4D2019-2020 ANNUAL REPORT

Data for Covid-19 Response

Enhancing Disaster Preparedness Through Smartphone Location Data

• The team produced mobility patterns in Indonesia since the Covid-19 outbreak combining different data sources from microeconomic indicators, Facebook, and smartphone mobility data.

• The findings can inform and guide policymakers’ responding, reopening, and recovery plans.

DT4D2019-2020 ANNUAL REPORT

Data for Covid-19 Response

DT4D2019-2020 ANNUAL REPORT

Highlights on sustainable development activities by DT4D Teams

• Green and Blue Footprints Tool: Decision Support for Living Cities

DT4D2019-2020 ANNUAL REPORT

Green and Blue Footprints Tool: Decision Support for Living Cities

• Interactive live report of the tool development is under development, accessible through this link.

• The green and blue footprints tool produced highly accurate urban green/blue mapping in Jakarta and other regions in Indonesia, leveraging satellite/drone imagery, AI, and interactive visualization.

• Using the tool, the team highlighted the rapid decline of green areas in Jakarta from 90%(1990) to 70%(2018). Additionally, the team produced the Jakarta water delineation map that meets regulatory standards with a 15% increase in average data accuracy compared to existing data.

DT4D2019-2020 ANNUAL REPORT

Sample Newsletter

DT4D2019-2020 ANNUAL REPORT

Drones Webinar Newsletter