Here’s what we said to 200 Geospatial Experts at the United Nations


Last week, over 200 geospatial experts convened at the United Nations to discuss how big data can help the organization achieve its 17 Sustainability Development Goals (SDGs).

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Here’s what we said to 200 Geospatial Experts at the United Nations

Last week  over 200 geospatial experts from 150 member states convened at the United Nations to discuss how spatial data and technology are shaping the future of sustainable development in line with the United Nation’s 2030 Sustainable Development Goals (SDGs).

First adopted in 2012  the SDGs are a set of 169 measurable targets that cover everything from gender equality to maritime preservation to affordable and clean energy. As an observing member of the committee (formally called the UN Committee of Experts on Global Geospatial Information Management or UN-GGIM)  CARTO was on the floor  represented by our own Miguel Arias and Santiago Giraldo.

We offered the following advice to our peers in the field: If each of the 193 member states hopes to hit their SDGs by 2030  they must use new data  undertake new analyses  and reach new audiences.

We need to find new data.

To tackle seemingly undefinable SDGs  we need to be identifying new data streams and making sure the partnerships and structures are in place to allow us to make use of that data.

The BBVA Data & Analytics team wanted to know "What is the resilience of a community to a natural disaster?"

BBVA Data & Analytics  in partnership with UN Global Pulse  used fingerprint bank card activity from Baja California Sur  Mexico to assess the difference in how natural disasters affect men and women  in line with the SDG on gender equality. By establishing an average for card payments and cash withdrawals in the area  they discovered that women not only spent twice as much as men preparing for a 2014 hurricane  but that it also took them 30% longer to recover after the fact.


In the words of the data scientists  "This project confirms that financial data can provide timely and precise information to better support vulnerable populations before  during  and after natural disasters."

We need to use new analyses.

The wealth of data available also demands creative and sophisticated spatial analyses tied to clear problems that needs to be solved.



We shared with the UN a map of vaccination facilities in Kenya that we built for UNICEF. We mapped the population density of one- and two-year-olds in Kenya alongside the number and location of existing vaccination facilities. Using spatial analyses  we could show the best location for UNICEF to build 16 new medical centers planned for the next few years. However  the optimal locations depended on what they wanted to solve for.

If the problem we’re trying to solve is How do we reach the greatest number of Kenyan infants? then we should build nine of those centers in Nairobi  the country's largest and most densely populated city. But  if the problem we’re trying to solve is How do we reach populations without any access to medical care? then it makes sense to distribute the vaccination centers throughout Kenya's rural areas.

Conflicting priorities such as these reflect the complexity of implementing the SDGs and the need for intentional analyses.

We need to give new audiences access to new data streams and analysis methods.

With data becoming ever more cumbersome  governments must also enlist private partners and nonprofits to help with these new analyses.

According to geospatial experts  "The Earth and its systems are complex and interconnected  and gaining a comprehensive understanding of these systems and how we interact with them is of critical national and international interest." To do so  however  requires enormous technological prowess.

Sixty-nine satellites currently monitor the entire globe's geology  water conditions  sea surface temperatures  and magnetic fields  resulting in a dataset that's too large for a single government to fully take advantage of. For that reason  Australia recently released the Data Cube  a 200-terabyte set of regular  non-overlapping tiles of gridded sensor data. Because the Cube is analysis ready  interested parties can easily ingest and analyze the satellite images  fully optimizing existing resources in service of the SDGs.


The SDGs are ambitious in their timeline and scope  but we at CARTO believe that by empowering actors with new data  new analyses  and making these available to new audiences  these 17 goals are achievable. As case studies in Mexico  Kenya  and Australia demonstrate  creatively collecting  visualizing  analyzing  and sharing data can provide solutions that were previously unimaginable.