## ANTI-CORRUPTION CHALLENGE Pitch Event — World Bank-IMF Annual Meetings 2020

## Source details

**Canonical URL:** [ANTI-CORRUPTION CHALLENGE Pitch Event — World Bank-IMF Annual Meetings 2020](https://www.imf.org/-/media/files/topics/innovation/2020-ams-acc-prospectus.pdf)

## Other formats

- [Markdown version](/-/media/files/topics/innovation/2020-ams-acc-prospectus.pdf.md)
- [Structured JSON version](/-/media/files/topics/innovation/2020-ams-acc-prospectus.pdf.json)

---

### Agenda and event format
- Event held Wednesday, October 7, 2020 (all times EDT).
- Schedule highlights:
  - 10:15am – 10:30am: Welcome and Introductory Remarks by Kristalina Georgieva (IMF Managing Director), Rhoda Weeks-Brown (IMF General Counsel), Tristan Walker (Head of IMF Innovation Lab).
  - 10:30am – 11:40am: Team Pitch Videos and Q&A featuring Teams 1–8.
  - 11:40 – 11:55: Public Vote & Judges Deliberate.
  - 11:55am – 12:00pm: Announcement of Winners and Closing Remarks by Rhoda Weeks-Brown (IMF General Counsel).
- Livestream: https://bit.ly/332LrDB
- Note: Times are approximate.

### Purpose, scope, and timeline of the Anti-Corruption Challenge (IMF Innovation Anti-Corruption Challenge)
- Objective:
  - Support development of new and innovative approaches to create behavioral change and increased transparency to enable good governance and tackle corruption in the public sector.
- Accepted proposers:
  - Country authorities, civil society organizations (CSOs), and staff from the IMF and other International Financial Institutions.
- Challenge topic areas:
  1. Enhancing Governance in Public Finance: The Role of Data and Technology;
  2. Promoting Good Governance in Central Banks: The Role of Non-Executive Directors;
  3. Tackling Corruption: Financial Disclosure Systems for Public Officials;
  4. Fighting Money Laundering: The Use of Data for Financial Intelligence;
  5. Improving the Understanding of Risks of Corruption;
  6. Other solutions including use of open/big data in enhancing governance and fighting corruption.
- Relationship to IMF policy:
  - Topics framed in context of the IMF’s Governance Framework; reference to IMF and Good Governance factsheet and Framework for Enhanced Fund Engagement with Governance.
- Challenge timeline (phases):
  - Phase 1 - Oct 18 to Dec 20, 2019: Challenge opened for proposals.
  - Phase 2 - Jan 2020: Submissions shortlisted; IMF and World Bank staff invited to review and join project teams.
  - Phase 3 - Feb 2020: Selection of 8 finalists.
  - Phase 4 - Mar 2020: Virtual bootcamp training for finalist project teams.
  - Phase 5 - by Sep 2020: Solution development phase; teams received limited seed funding from $10,000 – 15,000.
  - Phase 6 - Oct 2020: Virtual Pitch Event where the top 4 teams will be selected for further support and seed funding.
- Post-selection support:
  - Top four pitches receive seed funding and project support by the iLab and sponsors and will be accepted into the iLab Accelerator Program.
  - Seed funding typically provided on a “metered funding” basis up to $50,000 (USD).
  - Accelerator program supports projects to complete a proof of concept and deliver a working proof of concept, final presentation, report and project deliverables including code and related documentation via open source.

### Evaluation criteria for proposals
- Proposals ranked on:
  - The potential impact of proposal on governance or anti-corruption.
  - The relevance to the Fund’s work (usefulness to IMF staff and country authorities when engaging in capacity development or surveillance work).
  - The scale-ability of proposal (ability to benefit multiple member countries).
  - The feasibility of developing a proof of concept or pilot in 9-12 months.
  - The team composition in terms of diverse skills, knowledge & readiness to facilitate solution development and implementation.
  - Novelty or innovation of proposal.
- Eligible organizations:
  - Country authorities, civil society organizations and international financial institutions (e.g., the IMF, the World Bank, the IFC etc.).

### Sponsors, partners, and organizational leads
- Organized by:
  - IMF Innovation Lab (iLab) and Legal Department (LEG) in partnership with Fiscal Affairs, Finance, Strategy, Policy and Review, Institute for Capacity Development, and Communications departments.
- Sponsor:
  - Swiss State Secretariat for Economic Affairs (SECO).
- Technical partner:
  - MIT-IBM Watson AI Lab.

### Panel of judges (names and roles)
- Jihad Azour, Director, Middle East and Central Asia Department, IMF.
- Vitor Gaspar, Director, Fiscal Affairs Department, IMF.
- Ceyla Pazarbasioglu, Director, Strategy, Policy and Review Department, IMF.
- Rhoda Weeks-Brown, General Counsel and Director, Legal Department, IMF (Panel Chair).
- Alejandro Werner, Director, Western Hemisphere Department, IMF.
- Sean Hagan, Visiting Professor of Law, Georgetown.
- Warren Krafchick, Executive Director, International Budget Partnership.
- Paul Maassen, Chief of Country Support, Open Government Partnership.
- Ed Olowo-Okere, Global Director for the Governance Practice, World Bank.
- Rosmarie Schlup, Head, Macroeconomic Support Division, SECO (Sponsor).
- Mark Weber, Strategy and Operations Lead, MIT-IBM Watson AI Lab (Partner).

### Team pitches — objectives and background summaries

- Team 1: We Can Only Stop It, If we Understand It: Measuring Perceptions of Corruption through Gamification
  - Objective:
    - Use behavioral sciences, gamification techniques and technology to gather alternative data on how individuals perceive or relate to different acts of corruption.
    - Use results to make recommendations for mitigating measures aimed at preventing corruption.
  - Background:
    - Current interview and survey methods may be ineffective at extracting truthful reports of behavior.
    - Need for innovative ways to measure individual attitudes and perceptions toward acts of corruption to support evidence-based mitigation for public sector organizations.
    - Claim: Corruption’s costs are comparable to the gross domestic product of large economies.

- Team 2: Improving Access to Laws and Regulations in Africa
  - Objective:
    - Develop a cloud-based Database with Website and Mobile Application (DWMA) to provide free & open-access to comprehensive, complete collections of national laws and regulations (official version, reliably updated and easily searchable).
    - Target users: officials, judges, citizens & the private sector in more than 50 African countries.
  - Background:
    - Preliminary survey results indicate free & effective access to national laws is not available in the large majority of African countries.
    - Data indicates free & open access to the complete collection of national laws is available in fewer than 5 of 48 Sub-Saharan African countries.
    - Improved access to official laws and regulations is positioned as critical to combating corruption and strengthening rule-of-law governance.

- Team 3: Public Procurement Corruption Risks: Harnessing Big Data for Better Fiscal Governance and Growth
  - Objective:
    - Create a policy-oriented global intelligence tool with a user-friendly Tableau dashboard to identify vulnerabilities to corruption in public procurement and their financial cost.
    - Base tool on objective data (e.g., percentage of procurement contracts awarded through non-competitive, emergency procedures) to enable actionable policy discussions (example phrasing: increasing the share of competitive auctions could lead to savings of x% of GDP).
    - Provide downloadable data and methodology notes to support constructive dialogue between IMF staff and country authorities and inform IMF and World Bank policy recommendations on public procurement governance.
  - Background:
    - Linked to IMF policy work including Guidance Note (1997), IMF (2017) review, Framework for Enhanced Fund Engagement with Governance (IMF, 2018), and Fiscal Monitor on Curbing Corruption (IMF, 2019).
    - Emphasizes fiscal transparency, independent external oversight, effective internal controls and the integrity of processes.

- Team 4: Harvesting Open Data for Early Detections of Conflicts of Interest in Public Procurement
  - Objective:
    - Develop a Minimum Viable Product (MVP) to connect public procurement, business and political financing datasets from Estonia and Latvia; develop data literacy training use cases; and provide a roadmap for full version in local and international settings.
    - Long-term goal: harness open data for anti-corruption, develop data literacy, increase transparency, detect fraud and corruption in public procurement, prevent misuse of public funds, and improve social cohesion and trust.
  - Background:
    - Pilot in Estonia and Latvia due to connected economies and business networks; perceived improvements in public sector corruption per CPI do not capture private sector corruption.
    - European Union's Corruption Eurobarometer 470 (2017) indicates 76% of Estonian residents and 80% of Latvian residents agree or tend to agree that private interests have a very high impact on policy-making.
    - Connecting datasets expected to uncover business networks and data compatibility issues and support common data standards for political financing and public procurement.

- Team 5: Joining the Dots with Public Officials: Cross-Matching Beneficial Ownership and Financial Disclosures Data to Identify Red Flags
  - Objective:
    - Enhance transparency related to beneficial ownership and interests/assets of public officials.
    - Support country authorities in enhancing Financial Disclosure (FD) systems and implementing beneficial ownership disclosures.
    - Develop a system to cross-match existing datasets and generate red-flags to identify politically exposed persons (PEPs).
  - Background:
    - Hidden beneficial ownership and lack of oversight of assets held by PEPs exacerbate corruption and tax evasion risks.
    - 53 countries have committed to publicly identify any PEPs holding ownership in oil, gas and/or mining projects through EITI Standard implementation.
    - Some countries extend beneficial ownership disclosures beyond extractive industries.
    - Pilot countries: Colombia and Myanmar. The Colombia pilot to be developed jointly by DL and EITI, building on EITI lessons for BO transparency.

- Team 6: Enhancing Transparency in Wage Bill Practices: Leveraging Blockchain
  - Objective:
    - Assist Ministries of Public Administration and Finance in developing countries to reduce corrupt wage bill practices by leveraging a Blockchain solution.
    - Develop a Minimum Viable Product (MVP) between April and October 2020 to identify key capabilities, develop user stories, and perform experiments validating assumptions.
  - Background:
    - Blockchain features relevant to anti-corruption: security and integrity of records, reduced falsification risk, mitigation of single-point data management, overcoming public entity silos.
    - Blockchain can be implemented as closed or open, supports tokenization (digital representation of value, identity, and assets) and Smart Contracts to represent real-world governance, contractual terms, regulatory controls, and outcomes.
    - Value applications: verifying identity, registering assets, tracking transactions; blockchain’s immutability aids traceability and combats illicit trades and money laundering.

- Team 7: Optimizing the Detection of Beneficial Ownership of High-Risk Firms in Brazil
  - Objective:
    - Creating a solid and actionable tool for automating and optimizing the detection of potential beneficial owners of high-risk firms in Brazil.
  - Background and identified constraints:
    - Most law enforcement agencies in Brazil currently have a low level of data analytics maturity.
    - Investigations nationwide have been hindered by:
      - (a) reliance on spreadsheet-based analyses conducted manually;
      - (b) analyses based on small samples of data;
      - (c) existence of internal and external data silos;
      - (d) scarcity of data scientists.
  - Consequences of low data analytics maturity:
    - (i) Detection of firms involved in corruption largely relies on circumstantial evidence from whistleblowers or legal complaints.
    - (ii) After investigations start, elaboration of legal evidences consumes hundreds of man-hours devoted to manual spreadsheet-based analyses using small samples of data and paper-based analyses.
    - (iii) Corruption and money laundering frequently do not involve firms and individuals acting in an insulated environment.
  - Proposed systematic solution:
    - Use data science and operational research tools to integrate large datasets, develop algorithms, and create decision support systems.

- Team 8: Public Officials Risk Index (PORI): A Tool to Combat Corruption Using Disruptive Technologies
  - Objective:
    - Provide tools to identify possible disproportionate assets and income and conflict of interest using information in financial disclosure submitted by public officials, public procurements, and social media/web.
    - Facilitate authorities to use technology to identify possible corruption and conflict of interest, enabling efficient reviews and investigations.
    - Support prevention, detection, and appropriate action by the government to ensure that funds available from the government, international organizations, and NGOs are used for the purpose intended.
    - Increase citizen’s trust in the government.
  - Background and identified problems:
    - Public corruption is the misuse of a public or government office for private gain and indicates failures in management of the government office.
    - Financial disclosure by public officials helps citizens assess if the government is working in their interest and can be used for prevention, detection, investigation, and prosecution of corrupt officials.
    - Many countries have financial disclosure practices that are not standardized or are in a form that is difficult to use for due diligence purposes, resulting in inconsistencies and inefficiencies in analyzing the data.
    - Information can be siloed across multiple systems, impairing decision-makers’ capability to understand the holistic picture of a public official’s risk profile.
    - Most systems do not provide for automatic verification of the data, making verification of the data submitted by public officials very difficult.
  - Expected impacts of PORI:
    - Promote accountability among public officials.
    - Reduce conflict of interest.
    - Increase citizen trust in public institutions.
    - Enable more efficient reviews and investigations through technological tools that integrate financial disclosure, public procurement data, and web/social media information.

*Summary Document prepared for the IMF Innovation Anti-Corruption Challenge at the World Bank‑IMF Annual Meetings 2020.*

### Section 1

### ANTI-CORRUPTION CHALLENGE Pitch Event — World Bank-IMF Annual Meetings 2020 (Section 1)

### Agenda and event format
- Event held Wednesday, October 7, 2020 (all times EDT).
- Schedule highlights:
  - 10:15am – 10:30am: Welcome and Introductory Remarks by Kristalina Georgieva (IMF Managing Director), Rhoda Weeks-Brown (IMF General Counsel), Tristan Walker (Head of IMF Innovation Lab).
  - 10:30am – 11:40am: Team Pitch Videos and Q&A featuring Teams 1–8 (listed below).
  - 11:40 – 11:55: Public Vote & Judges Deliberate.
  - 11:55am – 12:00pm: Announcement of Winners and Closing Remarks by Rhoda Weeks-Brown (IMF General Counsel).
- Livestream: https://bit.ly/332LrDB
- Note: Times are approximate.

### Purpose, scope, and timeline of the Anti-Corruption Challenge
- Objective: Support development of new and innovative approaches to create behavioral change and increased transparency to enable good governance and tackle corruption in the public sector.
- Accepted proposers: country authorities, civil society organizations (CSOs), and staff from the IMF and other International Financial Institutions.
- Challenge topic areas:
  1. Enhancing Governance in Public Finance: The Role of Data and Technology;
  2. Promoting Good Governance in Central Banks: The Role of Non-Executive Directors;
  3. Tackling Corruption: Financial Disclosure Systems for Public Officials;
  4. Fighting Money Laundering: The Use of Data for Financial Intelligence;
  5. Improving the Understanding of Risks of Corruption;
  6. Other solutions including use of open/big data in enhancing governance and fighting corruption.
- Relationship to IMF policy: Topics framed in context of the IMF’s Governance Framework; reference to IMF and Good Governance factsheet and Framework for Enhanced Fund Engagement with Governance.
- Challenge timeline (phases):
  - Phase 1 - Oct 18 to Dec 20, 2019: Challenge opened for proposals.
  - Phase 2 - Jan 2020: Submissions shortlisted; IMF and World Bank staff invited to review and join project teams.
  - Phase 3 - Feb 2020: Selection of 8 finalists.
  - Phase 4 - Mar 2020: Virtual bootcamp training for finalist project teams.
  - Phase 5 - by Sep 2020: Solution development phase; teams received limited seed funding from $10,000 – 15,000.
  - Phase 6 - Oct 2020: Virtual Pitch Event where the top 4 teams will be selected for further support and seed funding.
- Post-selection support:
  - Top four pitches receive seed funding and project support by the iLab and sponsors and will be accepted into the iLab Accelerator Program.
  - Seed funding typically provided on a “metered funding” basis up to $50,000 (USD).
  - Accelerator program supports projects to complete a proof of concept and deliver a working proof of concept, final presentation, report and project deliverables including code and related documentation via open source.

### Evaluation criteria for proposals
- Proposals ranked on:
  - The potential impact of proposal on governance or anti-corruption.
  - The relevance to the Fund’s work (usefulness to IMF staff and country authorities when engaging in capacity development or surveillance work).
  - The scale-ability of proposal (ability to benefit multiple member countries).
  - The feasibility of developing a proof of concept or pilot in 9-12 months.
  - The team composition in terms of diverse skills, knowledge & readiness to facilitate solution development and implementation.
  - Novelty or innovation of proposal.
- Eligible organizations: country authorities, civil society organizations and international financial institutions (e.g., the IMF, the World Bank, the IFC etc.).

### Sponsors, partners, and organizational leads
- Organized by: IMF Innovation Lab (iLab) and Legal Department (LEG) in partnership with Fiscal Affairs, Finance, Strategy, Policy and Review, Institute for Capacity Development, and Communications departments.
- Sponsor: Swiss State Secretariat for Economic Affairs (SECO).
- Technical partner: MIT-IBM Watson AI Lab.

### Panel of judges (names and roles)
- Jihad Azour, Director, Middle East and Central Asia Department, IMF.
- Vitor Gaspar, Director, Fiscal Affairs Department, IMF.
- Ceyla Pazarbasioglu, Director, Strategy, Policy and Review Department, IMF.
- Rhoda Weeks-Brown, General Counsel and Director, Legal Department, IMF (Panel Chair).
- Alejandro Werner, Director, Western Hemisphere Department, IMF.
- Sean Hagan, Visiting Professor of Law, Georgetown.
- Warren Krafchick, Executive Director, International Budget Partnership.
- Paul Maassen, Chief of Country Support, Open Government Partnership.
- Ed Olowo-Okere, Global Director for the Governance Practice, World Bank.
- Rosmarie Schlup, Head, Macroeconomic Support Division, SECO (Sponsor).
- Mark Weber, Strategy and Operations Lead, MIT-IBM Watson AI Lab (Partner).

### Team pitches — objectives and background summaries

- Team 1: We Can Only Stop It, If we Understand It: Measuring Perceptions of Corruption through Gamification
  - Objective:
    - Use behavioral sciences, gamification techniques and technology to gather alternative data on how individuals perceive or relate to different acts of corruption.
    - Use results to make recommendations for mitigating measures aimed at preventing corruption.
  - Background:
    - Current interview and survey methods may be ineffective at extracting truthful reports of behavior.
    - Need for innovative ways to measure individual attitudes and perceptions toward acts of corruption to support evidence-based mitigation for public sector organizations.
    - Claim: Corruption’s costs are comparable to the gross domestic product of large economies.

- Team 2: Improving Access to Laws and Regulations in Africa
  - Objective:
    - Develop a cloud-based Database with Website and Mobile Application (DWMA) to provide free & open-access to comprehensive, complete collections of national laws and regulations (official version, reliably updated and easily searchable).
    - Target users: officials, judges, citizens & the private sector in more than 50 African countries.
  - Background:
    - Preliminary survey results indicate free & effective access to national laws is not available in the large majority of African countries.
    - Data indicates free & open access to the complete collection of national laws is available in fewer than 5 of 48 Sub-Saharan African countries.
    - Improved access to official laws and regulations is positioned as critical to combating corruption and strengthening rule-of-law governance.

- Team 3: Public Procurement Corruption Risks: Harnessing Big Data for Better Fiscal Governance and Growth
  - Objective:
    - Create a policy-oriented global intelligence tool with a user-friendly Tableau dashboard to identify vulnerabilities to corruption in public procurement and their financial cost.
    - Base tool on objective data (e.g., percentage of procurement contracts awarded through non-competitive, emergency procedures) to enable actionable policy discussions (example phrasing: increasing the share of competitive auctions could lead to savings of x% of GDP).
    - Provide downloadable data and methodology notes to support constructive dialogue between IMF staff and country authorities and inform IMF and World Bank policy recommendations on public procurement governance.
  - Background:
    - Linked to IMF policy work including Guidance Note (1997), IMF (2017) review, Framework for Enhanced Fund Engagement with Governance (IMF, 2018), and Fiscal Monitor on Curbing Corruption (IMF, 2019).
    - Emphasizes fiscal transparency, independent external oversight, effective internal controls and the integrity of processes.

- Team 4: Harvesting Open Data for Early Detections of Conflicts of Interest in Public Procurement
  - Objective:
    - Develop a Minimum Viable Product (MVP) to connect public procurement, business and political financing datasets from Estonia and Latvia; develop data literacy training use cases; and provide a roadmap for full version in local and international settings.
    - Long-term goal: harness open data for anti-corruption, develop data literacy, increase transparency, detect fraud and corruption in public procurement, prevent misuse of public funds, and improve social cohesion and trust.
  - Background:
    - Pilot in Estonia and Latvia due to connected economies and business networks; perceived improvements in public sector corruption per CPI do not capture private sector corruption.
    - European Union's Corruption Eurobarometer 470 (2017) indicates 76% of Estonian residents and 80% of Latvian residents agree or tend to agree that private interests have a very high impact on policy-making.
    - Connecting datasets expected to uncover business networks and data compatibility issues and support common data standards for political financing and public procurement.

- Team 5: Joining the Dots with Public Officials: Cross-Matching Beneficial Ownership and Financial Disclosures Data to Identify Red Flags
  - Objective:
    - Enhance transparency related to beneficial ownership and interests/assets of public officials.
    - Support country authorities in enhancing Financial Disclosure (FD) systems and implementing beneficial ownership disclosures.
    - Develop a system to cross-match existing datasets and generate red-flags to identify politically exposed persons (PEPs).
  - Background:
    - Hidden beneficial ownership and lack of oversight of assets held by PEPs exacerbate corruption and tax evasion risks.
    - 53 countries have committed to publicly identify any PEPs holding ownership in oil, gas and/or mining projects through EITI Standard implementation.
    - Some countries extend beneficial ownership disclosures beyond extractive industries.
    - Pilot countries: Colombia and Myanmar. The Colombia pilot to be developed jointly by DL and EITI, building on EITI lessons for BO transparency.

- Team 6: Enhancing Transparency in Wage Bill Practices: Leveraging Blockchain
  - Objective:
    - Assist Ministries of Public Administration and Finance in developing countries to reduce corrupt wage bill practices by leveraging a Blockchain solution.
    - Develop a Minimum Viable Product (MVP) between April and October 2020 to identify key capabilities, develop user stories, and perform experiments validating assumptions.
  - Background:
    - Blockchain features relevant to anti-corruption: security and integrity of records, reduced falsification risk, mitigation of single-point data management, overcoming public entity silos.
    - Blockchain can be implemented as closed or open, supports tokenization (digital representation of value, identity, and assets) and Smart Contracts to represent real-world governance, contractual terms, regulatory controls, and outcomes.
    - Value applications: verifying identity, registering assets, tracking transactions; blockchain’s immutability aids traceability and combats illicit trades and money laundering.

*Summary Document prepared for the IMF Innovation Anti-Corruption Challenge at the World Bank‑IMF Annual Meetings 2020.*

### Section 2

### Team 7: Optimizing the Detection of Beneficial Ownership of High-Risk Firms in Brazil

### Objective
- Creating a solid and actionable tool for automating and optimizing the detection of potential beneficial owners of high-risk firms in Brazil.

### Background and identified constraints
- Most law enforcement agencies in Brazil currently have a low level of data analytics maturity.
- Investigations nationwide have been hindered by:
  - (a) reliance on spreadsheet-based analyses conducted manually;
  - (b) analyses based on small samples of data;
  - (c) existence of internal and external data silos;
  - (d) scarcity of data scientists.

### Consequences of low data analytics maturity
- (i) The current approach employed by most law enforcement agencies for detecting firms involved in corruption consists in relying on circumstantial evidence provided by whistleblowers or legal complaints delivered by citizens.
- (ii) After a corruption or money laundering investigation starts the elaboration of legal evidences by teams of investigators consume hundreds of man-hours which are devoted to manual spread-sheet based analyses using small samples of data as well as paper-based analyses.
- (iii) Corruption and money laundering frequently do not involve firms and individuals acting in an insulated environment.

### Proposed systematic solution
- Use data science and operational research tools to:
  - integrate large datasets;
  - develop algorithms;
  - create decision support systems.

---

### Team 8: Public Officials Risk Index (PORI): A Tool to Combat Corruption Using Disruptive Technologies

### Objective
- Provide tools to identify possible disproportionate assets and income and conflict of interest using the information in financial disclosure submitted by public officials, public procurements, and social media/web.
- Facilitate authorities to use technology to identify possible corruption and conflict of interest, enabling them to carry on reviews and investigations efficiently.
- Support prevention, detection, and appropriate action by the government to ensure that funds available from the government, international organizations, and NGOs are used for the purpose intended.
- Increase citizen’s trust in the government.

### Background and identified problems
- Public corruption is the misuse of a public or government office for private gain and indicates failures in management of the government office.
- Financial disclosure by public officials helps citizens assess if the government is working in their interest and can be used for prevention, detection, investigation, and prosecution of corrupt officials.
- Many countries have financial disclosure practices that are not standardized or are in a form that is difficult to use for due diligence purposes, resulting in inconsistencies and inefficiencies in analyzing the data.
- Information can be siloed across multiple systems, impairing decision-makers’ capability to understand the holistic picture of a public official’s risk profile.
- Most systems do not provide for automatic verification of the data, making verification of the data submitted by public officials very difficult.

### Expected impacts of PORI
- Promote accountability among public officials.
- Reduce conflict of interest.
- Increase citizen trust in public institutions.
- Enable more efficient reviews and investigations through technological tools that integrate financial disclosure, public procurement data, and web/social media information.

---


_Source: https://www.imf.org/-/media/files/topics/innovation/2020-ams-acc-prospectus.pdf_