Digitalização como estratégia anticorrupção: quais são os dividendos de integridade de se tornar digital?

Carlos Santiso, Diretor de Inovação Digital do Estado do Banco de Desenvolvimento da América Latina

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A resposta à crise do coronavírus está fornecendo uma oportunidade única para reinventar o governo, reconstruir a confiança e acelerar a luta global contra a corrupção, impulsionada pelo uso mais inteligente de novas tecnologias e análises de dados. A transformação digital é fundamental para os planos de recuperação, que exigirão governo ágil e redução da burocracia, mas também programas de reativação à prova de corrupção. Também exigirá o gerenciamento e a mitigação dos riscos à privacidade e à segurança pública.

A correlação entre digitalização e corrupção está bem estabelecida. A digitalização pode interromper a corrupção reduzindo a discrição, aumentando a transparência e permitindo a responsabilização, desmaterializando os serviços e limitando as interações humanas. Além disso, permite uma supervisão mais eficaz por instituições de responsabilidade mais inteligentes e sociedade civil com experiência em dados. No entanto, há menos evidências acionáveis ​​no nível micro sobre os efeitos de reformas específicas da digitalização sobre os diferentes tipos de corrupção e os canais de política através dos quais operam.

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La digitalización como estrategia anticorrupción

Por Carlos Santiso, Director, Dirección de innovación digital del estado de CAF – Banco de Desarrollo de América Latina

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La respuesta a la crisis del coronavirus está brindando una oportunidad única para reinventar el gobierno, reconstruir la confianza y acelerar la lucha mundial contra la corrupción, impulsada por el uso más inteligente de las nuevas tecnologías y el análisis de datos. La transformación digital es un aspecto fundamental de los planes de recuperación, que requerirán gobiernos ágiles y reducción de la burocracia, pero también garantías de integridad en el uso de los recursos de los programas de reactivación. También requerirá gestionar y mitigar los riesgos para la privacidad y la ciberseguridad.

La correlación entre digitalización y corrupción está bien establecida, aunque no las relaciones de causalidad. La digitalización puede alterar las oportunidades de corrupción al reducir la discreción, aumentar la transparencia, y permitir la rendición de cuentas al desmaterializar los servicios y limitar las interacciones humanas. Además, permite una supervisión más eficaz por parte de instituciones de rendición de cuentas más inteligentes y una sociedad civil conocedora de los datos. Sin embargo, hay menos evidencia accionable sobre los efectos de reformas específicas de digitalización en diferentes tipos de corrupción y los canales de políticas a través de los que operan.

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Digitalisation as an anti-corruption strategy: what are the integrity dividends of going digital?

By Carlos Santiso, Director, Digital Innovation in Government Directorate, Development Bank of Latin America

The response to the coronavirus crisis is providing a unique opportunity to “reinvent government”, rebuild trust and accelerate the global fight against corruption, propelled by the smarter use of new technologies and data analytics. Digital transformation is central to recovery plans, which will require agile government and cutting red-tape, but also corruption-proofing reactivation programmes. Additionally, it will require managing and mitigating the risks to privacy and cybersecurity. At a macro level, the correlation between digitalisation and corruption is well established. Digitalisation can disrupt corruption by reducing discretion, increasing transparency, and enabling accountability by dematerialising services and limiting human interactions. Furthermore, it allows for more effective oversight by smarter accountability institutions and data-savvy civil society. However, there is less actionable evidence at the micro level on the effects of specific digitalisation reforms on different types of corruption and the policy channels through which they operate.

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Why governing data is key for the future of cities

By Carlos Santiso, Director and Marcelo Facchina, Lead Smart Cities Specialist, Digital Innovation in Government Directorate, Development Bank of Latin America

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Technology is changing city dwellers lives, as well as how urban centres evolve to meet their needs. The pandemic has accelerated this transformation, and the digital transition has generated an explosion of data, especially in cities. In this context, the ability of local governments to manage urban problems will be paramount for the recovery, and the pandemic has helped us better understand the missing elements we need to govern cities effectively. For instance, the World Bank’s World Development Report of 2021 underscored that a data infrastructure policy is one of the building blocks of a good data governance framework, both to foster the local data economy and promote digital inclusion.  

It is inconceivable not to consider cities as an integral part of the solution to challenges like tackling social exclusion, improving public services and reducing insecurity, among others. A key issue that has become increasingly prominent in city agendas is the good governance of data; that is how data is handled and for what purpose, its quality and integrity, as well as the privacy and security concerns related to its collection and use. In other words, city governments need to preserve people’s trust in the way they handle data to improve lives.

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Putting metrics to action: global co-operation and the Anthropocene

By Pedro Conceição, Director of the Human Development Report Office and lead author of the Human Development Report

Forest fires in California and Australia. Heatwaves in Europe and India. Snow in Texas. These are only some of the recent extreme weather events that are increasingly ravaging our planet. Climate change is likely playing a crucial role in all of them. Add in COVID-19, which almost certainly sprang from human interaction with wildlife, we have an even clearer warning of the risks of human pressure on the planet. These pressures have had such an impact that many scientists argue that we have entered a new era, the Anthropocene, or the age of humans, in which humans have become a dominant force shaping the planet.

The ongoing planetary crises pay no attention to national borders, and nor should our efforts to come up with solutions. The most notable and ambitious of these—the Paris Agreement on Climate Action—has prompted virtually all countries to commit to reducing their carbon emissions. Nations have also come together to agree on international frameworks for other goals such as preserving biodiversity.

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Porque los datos son centrales para el futuro de las ciudades

Por Carlos Santiso y Marcelo Facchina – respectivamente, director y especialista líder en ciudades inteligentes de la dirección de innovación digital del estado de CAF – Banco de Desarrollo de América Latina

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Las tecnologías están cambiando la vida de las personas en las ciudades y la forma en que los centros urbanos evolucionan para satisfacer sus necesidades. La pandemia aceleró esta transformación de manera disruptiva.

Es imposible no considerar a las ciudades como parte integral de la ecuación para resolver los desafíos relacionados con la lucha contra las exclusiones sociales, la mejora de los servicios públicos y la reducción de la inseguridad, entre otros. En este contexto de rupturas y disrupciones, la capacidad de los gobiernos locales para gestionar los problemas urbanos será central para la recuperación y la pandemia ha permitido comprender con mayor claridad los diversos elementos que faltan para gobernar las ciudades de forma eficaz.

Un tema clave que ha surgido con fuerza en la agenda pública ha sido cómo se manejan los datos y para que propósito; pero también su calidad e integridad, así como las garantías de privacidad y seguridad. Es decir, la confianza que tienen los ciudadanos en la manera en que los gobiernos locales manejan sus datos para mejorar vidas.

Un gobierno local moderno no se sostiene sin una buena gobernanza de los datos, una infraestructura de datos segura, y talento digital para sacarle valor. La política de datos debe por lo tanto funcionar como un elemento articulador de las estrategias de transformación, definiendo el alcance, la dirección, las responsabilidades y los procedimientos para el camino hacia territorios más responsivos y resilientes.

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Data innovation for migration: why now and how?

By Marzia Rango, Data Innovation and Capacity-Building Coordinator at the Global Migration Data Analysis Centre (GMDAC), IOM – UN Migration, and Michele Vespe, European Commission Joint Research Centre (JRC), Demography, Migration and Governance Unit, Big Data for Migration Alliance (BD4M)

Now more than ever we need to invest in responsible data innovation for the analysis of mobility and migration

The impact of COVID-19 on the production of migration statistics around the world has been severe, particularly across low- and middle-income countries. In Africa, where national population censuses and household surveys are the main sources of data on migration, travel restrictions, lockdown measures and closure of government offices have heavily affected the ability to collect data from these sources, delaying the (already infrequent) production of migration statistics. The same has occurred in some European countries. And even in countries that were able to switch to remote modalities for data collection, challenges persisted, particularly in terms of the quality of data. Meanwhile, only just over a third of the 47 African countries surveyed in May 2020 reported using sources other than traditional ones.

One of the UN Secretary General report’s (“From Promise to Action:  The Global Compact for Safe, Orderly and Regular Migration”) key recommendations is to ‘strengthen evidence-based discourse on migration.’ But how to do so when even basic facts about migration in many countries around the world are largely unknown, because capacities to collect, or properly analyse and disseminate reliable statistics are extremely modest? And when a global pandemic further limits the availability of data from traditional sources?

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Combating COVID-19: Data everywhere but not the kind we need

By Julia Schmidt, Policy Analyst, Archita Misra, Policy Analyst and Johannes Jütting, Executive Head, Partnership in Development for the 21st Century (PARIS21)


This blog is part of a series on tackling COVID-19 in developing countries. Visit the OECD dedicated page to access the OECD’s data, analysis and recommendations on the health, economic, financial and societal impacts of COVID-19 worldwide.



statistics-covid-19-shutterstoc-1688596069Earlier this year at the Munich Security Conference, World Health Organisation Director-General Tedros Adhanom Ghebreyesus said, “We’re not just fighting an epidemic; we’re fighting an infodemic”. He was referring to the excessive amount of information surrounding the COVID-19 pandemic. Data dashboards, aggregators and charts of all types have formed the basis of much of what we know about the pandemic, lending a veneer of legitimacy to often contradictory or competing claims. While it is true that on some levels we have never had so much data, it may not be the data we need for sustained policy response and recovery. This is especially true among least-developed countries, where looming data gaps, even in foundational statistics, persist and may seriously undermine the ability of governments to develop effective COVID-19 response and recovery measures. Continue reading

How microeconomics can help devise evidence-based policy responses to COVID-19

By Ahmed Mushfiq Mobarak, Professor of Economics at Yale University, and Faculty director of the Yale Research Initiative on Innovation and Scale (Y-RISE), and Jaya Wen, Postdoctoral Fellow, Northwestern University


This blog is part of a series on tackling COVID-19 in developing countries. Visit the OECD dedicated page to access the OECD’s data, analysis and recommendations on the health, economic, financial and societal impacts of COVID-19 worldwide.


covid-19-microeconomics-policyThe new coronavirus has already exacted a profound toll all over the world. A notable feature of COVID-19’s course is that early outbreaks occurred primarily in middle- and high-income countries, so evidence and policy guidance have been tailored for these contexts. Policymakers will need to reevaluate these approaches as the disease progresses to poor countries. Even if the ultimate objective remains protecting the quality and extent of human life everywhere, effective intermediate goals and policy approaches are context-dependent, modulated by factors like health care capacity, poverty levels, government capacity, economic informality, and the prevalence of high-density, low-infrastructure living conditions. Continue reading

Counting the invisible: Three priorities for strengthening statistical capacities in the SDG era

By Johannes Jütting, Executive Head PARIS21, Rolando Avendano, Economist, Asian Development Bank and Manuel Kuhm, Research Support Officer (PARIS21)

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Better policies need better data. High-quality data and official statistics are vital for governments, civil society, the private sector and the public to make informed decisions, create effective polices, and establish good governance. Under the 2030 Agenda for Sustainable Development, data-driven policy making takes on even greater significance. For if we are to “leave no one behind”, we must first ensure that everyone is counted.

Yet today, more than 110 low and middle-income countries lack functional civil registration and vital statistics systems and under-record or omit vital events of specific populations. Those living in poverty are most likely to be excluded—the poorest 20% of the global population account for 55% of unregistered births. Only 37 countries have statistical legislation that complies with the United Nations (UN) Fundamental Principles of Official Statistics.

If we don’t even know who the poorest are, how can we ensure that they aren’t left behind?

At the same time, while a global Sustainable Development Goal (SDG) indicator framework is an essential part of Agenda 2030, it is putting pressure on national statistical systems. In addition to the demand of compiling 232 national-level indicators, the Agenda requires that data are disaggregated by income, sex and gender, geography, age and disability, far beyond current capacity in many developing countries. Continue reading