Global Report: Enhancing Government Effectiveness and Transparency - The Fight Against Corruption

Page 251

PART II KEY INSTRUMENTS FOR FIGHTING CORRUPTION

disruptive technologies—such as drones—to map properties and collect information. Under the project over 1,000 municipal government staff were trained in the use of drones to capture geospatial data. Several rounds of training and capacity building workshops were held to train government staff in all the new systems introduced. Drones turned out to be cheaper than satellite imagery, the other main option to collect property data, and drone images were also of higher quality. The collected data was analyzed using machine learning and artificial intelligence techniques. For example, the drone images were projected over base maps and connected to other data across multiple applications, providing a complete geospatial view of municipalities. The government linked the newly collected information with existing records across various government departments to enable data exchange and cross-verification. After the information was updated, the government found it easier to match demand and supply for urban services. The state also introduced an online building permission platform and trained government staff how to use it. The digital submission of construction permit applications with automated artificial intelligence approvals reduced the discretion officials had in the permit approval process. The AP experience highlighted that no single technology could serve to improve service delivery while also reducing fraud and corruption incidence and

CHAPTER 7 GOVTECH

risks. Rather, supporting combinations of emerging technologies served to address this goal. Table 7.4 summarizes the technologies that were used to support the AP program. Some technologies used, such as Geographic Information System (GIS) platforms, had been around for many years. However, while installing software manually had not been practical, cloud-based technologies made it easier to deploy GIS platforms across a significant number of municipalities. Both drones and AI in the form applied were indeed a new technology for the decade, at least for this type of application. The reduced cost and complexity of these technologies allowed for their application, while their increased capability met the objectives of the reform.

Increasing access to public services The government made more than 350 services available online through a website called MeeSeva and provided time-bound ser vice level agreements for those services. The government also made some services available through PuraSeva, a mobile phone application it developed. Several government depar tments under went business process re-engineering to encourage availability of online services. AP created a Citizens Charter that included details of services to be provided along with stipulated timelines and fee structure. This information was available on the MeeSeva website and was also displayed in Citizen Service Centers. The government provided

TABLE 7.4 AP’s Transformational Technologies Technology

Functions

Comments

GIS Platforms

Integration and application of different spatial data layers

Ability to intersect and cross- validate different data

Drones for spatial mapping with AI

Use of drones with AI supported image processing

Rapid mapping and validation of geospatial cadaster information

Enterprise Resource Planning (ERP)

Municipal e-governance system connected to geoportal

Cloud-based integration and software services for wide array of service and management functions

Online Building Permission System (Cloud-AI Supported)

Digital submission of construction permit applications with automated AI approvals

Discretion reduced for officials

Smartphone application for feedback

PuraSeva provides for different channels of citizen feedback

Continuous feedback enabled

Enhancing Government Effectiveness and Transparency: The Fight Against Corruption

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Box 13.6 Trade of Influence in the Judiciary

55min
pages 362-386

Box 13.5 Court User and Multi-Stakeholder Justice Surveys

3min
page 361

Box 13.3 Specialized Anti-Corruption Courts in the Philippines and Indonesia

2min
page 358

Box 13.4 International Cooperation and Mutual Legal Assistance (MLA

6min
pages 359-360

Box 13.2 Specialized Anti-Corruption Courts: Political Commitment or Implementation Gaps

2min
page 357

Box 10.1 The Extent of Corruption

2hr
pages 303-354

Box 13.1 Romania’s National Anti-Corruption Directorate (DNA

6min
pages 355-356

Box 9.2 The Beneficial Ownership Data Standard (BODS

5min
pages 291-292

Box 9.3 Key Data Questions for Policy Makers to Consider

25min
pages 293-302

Table 7.4 AP’s Transformational Technologies

53min
pages 251-270

Box 9.1 What is a Beneficial Owner?

15min
pages 286-290

Figure 8.2 Final Findings of ANI Reports between 2008 and 2019

15min
pages 279-285

Table 7.2 Major Technology Trends for Public Sector Fraud and Corruption

16min
pages 243-247

Box 6.2 The Extractive Industries Transparency Initiative (EITI

13min
pages 219-223

Table 7.3 Navigating GovTech for Public Sector Fraud and Corruption

8min
pages 248-250

Box 7.2 Singapore’s SkillsFuture Program and Fraud Detection

2min
page 241

Box 7.1 Brazil’s Tribunal of Accounts Robots

2min
page 240

Box 6.1 What Does Open Data Have to Do with Open Government?

9min
pages 216-218

Figure 6.1 Unpacking Open Government

1min
page 215

Table 5.1 Corruption in Public Services: Estimating the Magnitude of the Problem

2min
page 190

Box 4.1 Standard Operating Procedures and Internal Audit Capacities in Latin America

2min
page 166

Figure 4.3 ACD Presence and Main Transit Trade Routes

1min
page 178

Box 4.3 Donor Support to Afghanistan Customs Department

2min
page 179

Box 2.5 Transparency in Renegotiation for Public-Private Partnerships

2min
page 117

Box 3.1 About Empresas Públicas de Medellin

6min
pages 140-141

Box 3.3 The Impact of Operation Car Wash across Latin America

2min
page 145

Figure 2.7 Causes of Renegotiation, based on 48 Projects that experienced Renegotiation

5min
pages 115-116

Figure 1.2 Change in Corruption Risk Indicators as a result of the e-GP Intervention

55min
pages 75-93

Box 2.4 The Open Contracting for Infrastructure Data Standard (OC4IDS

6min
pages 102-103

Box 2.1 IFC’s Integrity Due Diligence (IDD

10min
pages 94-97

Figure 2.6 Making Infrastructure Data Useful for Planners, Implementers and Policy Makers

19min
pages 106-113

Figure 2.5 Multi-Stakeholder Working at the Project Level

2min
page 105

Box 2.2 The Evolution of Multi-Stakeholder Approaches to Accountability in Infrastructure

2min
page 99

Box 2.3 The Role of the CoST Secretariat

1min
page 100

Box 1.1 Timeline on Somali National Army Rations Re-tendering

16min
pages 68-73
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