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title = "A Year in Review: Looking back on 2024" | ||
authors = ["Kwok Kin Lee", "Claudia Calderon" ] | ||
date = 2024-12-18T00:00:00Z | ||
date = 2024-12-18T00:00:00Z | ||
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This has proven to be a busy yet fulfilling year for the Development Data Partnership (the Partnership). As we bid farewell to 2024, we reflect on a year marked by impactful projects and fruitful partnerships. Join us as we take a look at the key highlights of this year. | ||
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This has proven to be a busy yet fulfilling year for the [Development Data Partnership](www.datapartnerhsip.org) (the Partnership). As we bid farewell to 2024, we reflect on a year marked by impactful projects and fruitful partnerships. Join us as we look at this year's key highlights. | ||
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## Fostering Collaborative Success | ||
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Collaboration is crucial to our work as we cannot achieve our goals alone. The Partnership has continued its collaboration with its network of data and development partners. This year, we have developed a new agreement to facilitate data sharing between international organizations. We have also welcomed our new partners: IDB Invest, EarthGenome, Costellar, QuantCube, and VesselBot. | ||
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We are excited to have such great partnerships that reflect our dedication to unleashing the power of data sharing for the public good. Our current and new partners represent a diverse range of sectors, and their contributions have extended our reach within the data community, strengthening our impact on international development. | ||
Collaboration is crucial to our work as we cannot achieve our goals alone. The Partnership has continued to collaborate with its network of data and development partners. This year, we have introduced a new agreement to facilitate data sharing between international organizations. We have also welcomed our new partners: [IDB Invest](www.idbinvest.org/en), [EarthGenome](earthgenome.org), [Costellar](www.constellr.com/), [QuantCube](www.quant-cube.com/), and [VesselBot](www.vesselbot.com/). | ||
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We are excited to have such great partnerships that reflect our dedication to unleashing the power of data sharing for the public good. Our current and new partners represent diverse sectors, and their contributions have extended our reach within the data community, strengthening our impact. | ||
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## Engaging with the Data Community | ||
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Our Development Data Partnership Day was held in May 2024 at the OECD Headquarters and Conference Centre in Paris. The event was both exciting and insightful, bringing together participants from international organizations and the private sector. It featured an impressive lineup of speakers, including experts from the tech industry, journalists, economists, and data scientists. The sessions explored a wide range of topics, from leveraging the power of AI to enhancing public-private data collaboration for the greater public good. | ||
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## Engaging with the Data Community | ||
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Our annual Development Data Partnership Day took place in Paris in May this year and was an exciting and insightful event where we had the pleasure of engaging with participants from international organizations and the private sector at the OECD Headquarters and Conference Centre. Featuring speakers from tech industries, economists, and data scientists, sessions covered topics ranging from harnessing the power of AI to strengthening public-private sector data collaboration for the public good. | ||
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For instance, the maps help define flood risk extents in countries and cities, allowing users to prioritize engagements and resources. Their visual nature makes them effective decision-making tools. For this IDB project, the Maps enabled the team to visualize flood risks for return periods of 20 and 100 years (see maps below). This is particularly important because the tool allows them to see geospatially how, in different return periods, the areas are more exposed and vulnerable to flooding. | ||
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<figure align="centre"> | ||
<img src="year-in-review-2024_thumbnail.png" | ||
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## Promoting Data Collaboration for Sustainable Development | ||
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Data is a key driver for sustainable development. By sharing high-quality data and expertise with data scientists, policymakers, and other data practitioners, tech companies play an important role in addressing international development challenges. Over the year, the Partnership has supported 96 proposals, with more than one-third targeting SDG 9 (Industry, Innovation, and Infrastructure), SDG 13 (Climate Action), and SDG 11 (Sustainable Cities and Communities). | ||
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This year, we have also published almost 30 impact stories showcasing the results and impact of the collaboration with the private sector. Here’s a look back at some of the stories. | ||
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• Cities across Nepal are increasingly vulnerable to natural hazards and climate change impacts. The World Bank used JBA’s Global Flood Maps to assess flood risks and identify high-hazard areas in Itahari, Nepal. Find out more [here] (https://datapartnership.org/updates/nbs-for-climate-resilient-urban-development-in-nepal/). | ||
</figure> | ||
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• Climate change and geopolitical trade tensions threaten world trade flows. Thanks to Esri's support, online platform PortWatch was set up by the International Monetary Fund and the Environmental Change Institute at the University of Oxford to assess the domestic and international trade impact of actual and future disruptions. Click [here] (https://datapartnership.org/updates/monitoring-and-simulating-trade-disruptions/) for more information. | ||
## Promoting Data Collaboration for Sustainable Development | ||
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• Technological advancements can shape labor markets in Central America and the Dominican Republic (CADR). Leveraging LinkedIn data, a World Bank study has revealed the challenges CADR countries are facing regarding technology-related skills. Read more [here] (https://datapartnership.org/updates/prevalence-of-technology-skills-in-cadr/). | ||
Data is a key driver for sustainable development. Tech companies are essential in addressing international development challenges by sharing high-quality data and expertise with data scientists, policymakers, and other data practitioners. Over the year, the Partnership has supported nearly 100 projects. | ||
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• The availability and accessibility of high-quality services are essential for people’s well-being, especially in towns and villages. An OECD project utilized Mapbox data for a study on service accessibility in towns and villages. Find out more [here] (https://datapartnership.org/updates/studying-service-accessibility-in-towns-and-villages/). | ||
This year, we have also [published almost 30 impact stories](https://datapartnership.org/updates/) showcasing the results and impact of the collaboration with the private sector. Here’s a look back at some of the stories. | ||
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• Chennai has been facing various challenges such as extreme weather which all put pressure on its transport infrastructure. Unacast and Quadrant provided data support for a World Bank study for accessible and resilient transit planning in the city. Discover more [here] (https://datapartnership.org/updates/using-mobility-data-for-resilient-transport-planning-and-investments/). | ||
- **Cities across Nepal** are increasingly vulnerable to natural hazards and climate change impacts. The World Bank used JBA’s Global Flood Maps to assess flood risks and identify high-hazard areas in Itahari, Nepal. [Find out more here.](#) | ||
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• Amazonia has many small and remote communities but also some big and influential urban centers. The Inter-American Development Bank leveraged movement data from Meta to study the relationships between cities in each country within Amazonia, as well as the connections between the region’s urban areas and other parts of the countries. Learn more [here] (https://datapartnership.org/updates/understanding-people-mobility-in-amazonia/). | ||
- **Climate change and geopolitical trade tensions** threaten world trade flows. With support from Esri, the online platform *PortWatch* was created by the International Monetary Fund and the Environmental Change Institute at the University of Oxford to assess the domestic and international trade impact of current and future disruptions. [Click here for more information.](#) | ||
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• As traffic is a key source of air pollution in Tbilisi, it is vital for policymakers to tackle this health issue. The World Bank used traffic data from Waze for Cities to study how pollution varies within the Georgian capital. Read more [here] (https://datapartnership.org/updates/role-of-traffic-related-emissions-on-air-pollution-in-tbilisi/). | ||
- **Technological advancements** are shaping labor markets in Central America and the Dominican Republic (CADR). Leveraging LinkedIn data, a World Bank study revealed the challenges CADR countries face regarding technology-related skills. [Read more here.](#) | ||
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• Internet usage still remains a luxury in less affluent communities. Using data from Ookla, the World Bank has analysed the relationship between internet speed and income inequality in Brazil. Click [here] (https://datapartnership.org/updates/uncovering-digital-divide-in-brazil/) to learn more. | ||
- **High-quality services** are essential for well-being, especially in towns and villages. An OECD project utilized Mapbox data to study service accessibility in these areas. [Find out more here.](#) | ||
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## Looking Ahead | ||
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Looking forward, the Partnership will continue to showcase the impact of data collaborations between the private sector and international organizations and expand its network and outreach. Strengthening partnerships and cultivating new collaborations are key to our journey ahead. | ||
- **Chennai** faces challenges such as extreme weather, which puts pressure on its transport infrastructure. Unacast and Quadrant provided data support for a World Bank study on accessible and resilient transit planning in the city. [Discover more here.](#) | ||
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We are grateful for the continued support of our partners and of the data community. We anticipate another year of fruitful collaboration and achievement for 2025. | ||
- **Amazonia** is home to small, remote communities as well as significant urban centers. The Inter-American Development Bank used movement data from Meta to study the relationships between cities in each country within Amazonia and the connections between the region’s urban areas and other parts of the countries. [Learn more here.](#) | ||
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Thank you again for being an integral part of this remarkable 2024 journey! | ||
- **Traffic in Tbilisi** is a major source of air pollution, posing a significant health concern. The World Bank used traffic data from Waze for Cities to study how pollution varies within the Georgian capital. [Read more here.](#) | ||
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- **Internet usage** remains a luxury in less affluent communities. Using data from Ookla, the World Bank analyzed the relationship between internet speed and income inequality in Brazil. [Click here to learn more.](#) | ||
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## Looking Ahead | ||
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The Partnership will continue to showcase the impact of data collaborations between the private sector and international organizations and expand its network and outreach. Strengthening partnerships and cultivating new collaborations are key to our journey ahead. | ||
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We are grateful for the continued support of our partners and the data community. Thank you again for being an integral part of this remarkable 2024 journey! |
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