COVID-19: A Look at Global Geospatial Challenges and Achievements

While geospatial data and technology are helping governments worldwide answer critical COVID-19 questions, each country deals with unique but related constraints that impact response efforts. Many world leaders are forging partnerships and creating collaborative strategies to gather data and analysis to address their constraints and deliver data-driven responses. This work builds on a 2015 commitment from nearly 200 countries to strengthen resilience to environmental, social, and economic challenges—outlined in the Sustainable Development Goals, the Sendai Framework, and the Paris Climate Agreement. Five years later, the world confronts a devastating pandemic that could significantly hinder these efforts and alter strategies moving forward. Before an agency or government can act, it needs accurate information about population count, movement, and accessibility to essential services. But, gathering robust data during a pandemic is no easy feat.

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Leveraging Population Data in a Time of Crisis

During the current health crisis, knowing where people are located, what conditions they are facing, and their access to basic services and infrastructure is essential. Helping to answer these key needs, gridded population data have emerged and can play an important role in mapping individuals’ vulnerability and ensuring that no one is left behind. Gridded (or raster) population maps represent the distribution of population in rows and columns of grid cells, typically defined by their latitude-longitude coordinates. Population data is redistributed across these grid cells and combined with satellite imagery and other sources to provide more accurate and timely population estimates. Yet, as TReNDS’ recent report, Leaving No One Off The Map: A Guide To Gridded Population Data For Sustainable Development, demonstrates, many policymakers and other users remain largely unaware of these tools, including their nuances and strengths and weakness for potential application. There is a critical need for more validation work and capacity-building in countries. These issues were highlighted during a recent virtual debate, “How Can We Leverage Population Data In A Time Of Crisis,” hosted by TReNDS in partnership with SciDev.net.

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Gridded Population Data Has a Role to Play in Ensuring an Inclusive Response to COVID-19

Like any health issue, the impacts of Covid-19 are strongly gendered. Men are believed to be more susceptible to the virus, while women are more exposed in other ways: to an increased care burden, to heightened incidences of gender-based violence, to limited work opportunities, and to job losses. Understanding these gendered experiences and responding accordingly requires data that is disaggregated. It means going beyond the totals of people accessing facilities or losing their jobs, but disaggregating figures on the balance of men and women facing these challenges, including inequalities and discriminatory effects.

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Scaling Big Data for Social Good: Weighing the Benefits and the Risks

Allowing data, particularly big data, to be shared between the public and private sectors has significant benefits. These include improved public services, transparency and citizen engagement – not to mention the potential for driving economic opportunities and business innovation. And the private sector has an important role to play, not only in leveraging the value of government open data, but in making some of its own data open or available to the public sector through collaboration. Many of these data-driven public-private partnerships have already proven successful. For instance, Uber released their data on traffic to aid transportation planners and city officials; Statistics Canada has partnered with smart meter companies to access electricity consumption data to better understand consumption patterns; and the telecommunications company, Airtel, shared data with the World Health Organization to help combat tuberculosis in India…Yet with great potential comes great risk. Big data sharing raises pressing questions about security, privacy and consent. These questions have become even more salient in recent years, as we’ve learned more about how our data has been handled by technology companies and others.

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Gridded Population Datasets: Which One Is Fit For Purpose?

Access to timely and reliable data on population is critical to delivering global development programs and humanitarian assistance. It helps governments, donors, and implementing partners understand what services people have access to and the challenges they face both geographically and socially. Gridded population datasets — spatial databases on global populations that can be analyzed within mapping software — enable this to be achieved. But awareness of them is low.

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In the Fight Against Covid-19: What Do We Know and to Whom Can We Turn for Answers?

One could argue that during the current global pandemic, data has never played such an important role. It is relied on for life and death decisions that are impacting billions of people around the globe. In particular, the need for accurate and real-time data, which many in the data for sustainable development community have been advocating for years, has come to the forefront of mainstream conversations. Yet in the haze of the countless Covid-19 data dashboards and discussions on data, much of the data being reported (especially in the United States) is incomplete, confusing to the general public, and being miscommunicated by journalists and politicians alike. As the spread of Covid-19 continues to increase at an alarming rate, policymakers and citizens each face numerous limitations.

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In Low-Income Countries Fundamental Data Issues Remain for COVID-19 Response

As COVID-19 has wreaked havoc across the globe, the data community is steadfastly working to develop new tools and methods to better track and monitor the virus. And considerable attention has been given to the innovative role of big data in the response efforts. For instance, in the United States, data from smart thermometers are being used to predict the spread of the virus; Google is employing aggregated location data to demonstrate the impact of social distancing policies; and South Korea has used a variety of data sources, including individual cellphone data and credit card records to track and report on the virus spread. While these novel data solutions have the potential to help save lives, more fundamental data issues remain in the countries where the impact of COVID-19 is likely to be most devastating.

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Big Data in a Time of Crisis: Maximizing its Value – And Avoiding its Risks – In the Fight Against COVID-19

It is estimated that approximately 2 million people around the world have been infected by the coronavirus, and the numbers continue to grow. Yet the data being reported are primarily coming from national governments, which are – for the most part – basing it on who has been tested, which likely reveals only a fraction of the scale of the pandemic. There’s a critical need for real-time reported data from hospitals, health clinics and outreach facilities, based not only on testing, but on symptoms and other key determinants. In addition, we need to know in real-time who lacks access to a health clinic or other basic services, and which clinics don’t have personal protective equipment (PPE), ventilators or beds – as well as where the most vulnerable people live, their age, gender and other crucial demographic information. If there is one thing this pandemic has exposed, it is the acute weakness of the world’s data systems. 

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Is Open Data at Odds with Citizens' Privacy?

Open data isn’t a new concept. It’s been a conversation-starter in government circles for years, as we’ve seen more and more governments launch open data initiatives in countries, states and cities across the globe. But beyond the PR opportunity and desire to appear open, has data openness actually made a difference? Thankfully, the answer is a resounding yes. The evidence shows how both citizens and governments have benefited, as governments continue to open up their official statistics and datasets for public review.

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Checking our instincts: We need to remain evidence-based and standards-driven in times of crisis

Times of crisis require difficult trade-offs between competing public interests. In the present instance with Covid-2019 raging around the world, trade-offs between fundamental human rights — the right to freedom of assembly, to liberty, and in some instances to due process — have to be balanced against the urgent collective need of society and countries around the world to flatten the curve of the virus’s spread.

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Data Experts Say New Sources Must Not Replace Traditional Data

TReNDS hosted an expert discussion on data for development on the sidelines of the 51st session of the UN Statistical Commission. The breakfast event took place on 3 March 2020, and featured remarks by several experts from the TReNDS network. The discussion highlighted as a key issue the lack of data currently available on SDG indicators, saying significant gaps exist in data timeliness, represented geographies, and other factors.

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Navigating New Roles, Technology, and Ecosystems

As 120+ National Statisticians and hundreds of stakeholders across the globe convened at the UN for the 51st session of the Statistical Commission last week, how to manage the increasing breadth of new data and technologies, new responsibilities, and the changing data ecosystem was at the forefront of the conversation.

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Gridded Population Data is Key to Leaving No One off the Map

The 2030 SDG Agenda promises to leave no one behind, but to fulfill this promise we need quality, timely, and accurate population data to account for everyone everywhere. Recent innovations in geospatial technology and remote sensing have paved the way for gridded population datasets to help fill these important gaps, but information is still lacking on their unique characteristics, potential, and limitations. These issues were highlighted during this week’s webinar, “Leaving No One off the Map: Gridded Population Data for Decision-Making,” hosted by TReNDS in partnership with Geospatial World Media featuring TReNDS Co-Chair and Director of CIESIN, Bob Chen, and TReNDS Manager, Maryam Rabiee.

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Here’s What’s Keeping Government From Using Private Sector Data

Increasingly, policymakers and the general public demand both timely and quality data so we can understand how the world is developing. But despite living in an era of unprecedented technological boom and innovation, the truth is that much our data is wildly out of date. Many claim there is a silver bullet. Public-private partnerships (PPPs) between governments and the data and technology giants, all supposedly sitting on a goldmine of big data just waiting to be tapped. But for every one of these exciting shiny examples, there is a graveyard of failed collaborations. Why do some data collaborations succeed while others fail, and what can be done to ensure more effective public-private data sharing and collaboration?  

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When it Comes to Data for the SDGs, Money and Agreement are Still Lacking

Insights from a roundtable discussion hosted by SDSN TReNDS, identify how governments need to change to support the creation and maintenance of the data required to achieve the SDGs. The role of traditional versus new data collection methods, policy and regulatory needs for data governance, and what a national data ecosystem should look like were among the topics debated. The learnings from the roundtable, along with the report “Counting on the World to Act,” will provide analysis and evidence-based solutions for government actors to take the much-needed steps toward achieving the data revolution.

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The Data Revolution Enters the Next Phase

We are on the cusp of another wave of disruptive technological innovation as 5G specifications, greater computing power, shrewd algorithms and very cheap internet-connected chips start to congregate around clever business ideas. If some estimates are to be believed, there’ll be a trillion devices connected to the internet by 2025. The sheer scale of connectivity will mean that our digital footprints will become significantly larger than they currently are, further blurring the lines between reality and cyberspace. If the snapshots of people’s lives in 2030 above were to materialise, what are the opportunities and risks inherent to those two realities? And, crucially for those of us who work in the data revolution for sustainable development, what are the things we need to start thinking about now to mitigate future risks?

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Are We Leaving Too Many Behind? Addressing the Gap Between Population Data Suppliers and Policymakers

‘Driving science to action’ was a critical theme at the 2019 American Geophysical Union (AGU) Fall meeting where TReNDS, alongside CIESIN and GPSDD, presented on how to make information about integrating new data sources for population estimates more accessible to policymakers as well as insights from our forthcoming report, Leaving No One Off the Map: How Gridded Population Data Can Help Realize a More Sustainable World.

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How to Localize the Sustainable Development Goals: Los Angeles’ Four-Phased Methodology for Implementation at the Local Level

This Fall, TReNDS members co-hosted a public workshop with the City of Los Angeles that included insights into how the City is localizing the Sustainable Development Goals (SDGs). This included a discussion on its unique four-phased approach for success at the sub-national level, which is described in detail throughout this blog post.

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