Data & Analytics

Data and analytics are increasingly recognized as fundamental elements in achieving the Sustainable Development Goals (SDGs). These 17 goals, adopted by the United Nations in 2015, aim to address global challenges such as poverty, inequality, climate change, environmental degradation, peace, and justice. Each goal is interconnected, requiring a holistic approach to achieve sustainable development by 2030. Within this framework, SDG 17, "Partnerships for the Goals," is particularly crucial as it highlights the need for high-quality, timely, and reliable data to drive progress across all goals.

The importance of data and analytics in realizing the SDGs cannot be overstated. Accurate and insightful data is necessary for several key aspects: assessing current progress, identifying existing gaps, informing policy-making, and guiding the allocation of resources. For instance, in addressing SDG 1, "No Poverty," data helps in understanding the demographics of poverty, allowing for targeted interventions. Similarly, for SDG 3, "Good Health and Well-being," data analytics play a crucial role in tracking disease outbreaks, understanding health trends, and improving healthcare delivery.

In the education sector, under SDG 4, "Quality Education," data can inform about areas where educational resources are lacking or where dropout rates are high, guiding efforts to enhance education systems. Additionally, for SDG 13, "Climate Action," data is indispensable for understanding climate patterns, predicting future scenarios, and formulating strategies to mitigate and adapt to climate change.

Advancements in data collection and analytics methods have opened up new possibilities. Mobile technology, for example, has revolutionized data collection, enabling real-time gathering and dissemination of information even in remote areas. Remote sensing technologies, such as satellite imagery, provide critical data on environmental changes, agricultural patterns, and urban development. These methods not only expand the scope of data collection but also enhance its accuracy and timeliness.

However, challenges remain in harnessing the full potential of data for the SDGs. These include issues related to data availability, quality, accessibility, and interoperability. In many parts of the world, especially in developing countries, there is a significant data deficit. This gap hinders the ability to make informed decisions and effectively address the SDGs. Moreover, data collected must be reliable and relevant to be useful in policy formulation and implementation.

To overcome these challenges, partnerships between governments, private sector, academia, and civil society are vital. These collaborations can foster innovation in data collection and analytics, ensure data sharing, and build capacities for data analysis. Furthermore, there is a need for a global framework to standardize data collection and reporting methods, which will facilitate comparison and aggregation of data across regions and countries.

This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote sustainable transportation in electric vehicles.
This chapter advances the UN SDG goals 3 and 9 by exploring the potential benefits and ethical considerations of AI tools in healthcare settings.
Since 2017 HPCC Systems has taken part in Kennesaw State University’s annual Hackathon for Social Good held at the Joe Mack Wilson Student Center, Marietta Campus. The goal of this hackathon is to connect students with companies through workshops and mentoring to achieve a final product that can in some way help the community. This year was no different and in fact, was the most in-depth challenge HPCC Systems has offered so far. This year the Help Missing Kids Challenge was introduced.
Large language models (LLMs) are positioned to become another destination for those seeking medical information. Consequently, the readability of these materials becomes an important factor in ensuring their effectiveness in promoting health literacy, given that the average American reads at the eighth-grade level. Supports SDGs 3 and 10.
UGAHacks is a 501 (c)(3) non-profit organization that has been hosting an annual 48-hour hackathon for almost a decade now. This was the 2nd time HPCC Systems sponsored a challenge and participated in the hackathon held at the University of Georgia. If you want to catch up on our participation in last year’s event, please read the blog: UGA Hacks 8, Hot Wings and Hope for the Future.
This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote smart civil engineering.
This chapter advances the UN SDG goals 9 and 11 by highlighting the role AI tools can play in mitigating urban air pollution for improved urban air quality.
This chapter advances the UN SDG goals 2 and 9 by highlighting the role AI can play in identifying crop improvement methods for sustainable agriculture.
Image of front cover of Elsevier report The Power of Data in Advancing the SDGs
Access to information is critical in achieving the SDGs - empowering the public to make decisions, informing policy making and enabling effective implementation and monitoring. RELX businesses regularly produce and publish free to download reports and analytics that draw upon vast amounts of information and data in support of the SDGs. Explore some of the reports and tools developed to date.

Earth Observation in Urban Monitoring: Techniques and Challenges, 2024, pp 291-307

This chapter advances the UN SDG goals 9 and 13 by discussing the potential of AI tools to advance sustainable urban climate modeling.