The role of science in achieving the United Nations' Sustainable Development Goals (SDGs) cannot be overstated. Science, technology, and innovation are instrumental to addressing the significant challenges encompassed within the 17 SDGs, ranging from poverty and inequality to climate change and biodiversity loss.

Science underpins our understanding of the challenges our world faces and is pivotal in SDG 13 (Climate Action) and SDG 14 (Life Below Water) and 15 (Life on Land), where understanding ecosystems, environmental degradation, and climate change is paramount. Research in the Earth and environmental sciences provides us with knowledge about the severity of these issues and potential mitigation and adaptation strategies.

Furthermore, in SDG 3 (Good Health and Well-being), science in the form of medical research and biotechnology contributes to the development of treatments and preventive measures for various diseases. Vaccines, therapeutic drugs, and disease prevention techniques have been made possible due to advancements in biological and health sciences.

Moreover, technological advancements and innovative solutions, often rooted in science, are essential to achieving SDG 7 (Affordable and Clean Energy), SDG 6 (Clean Water and Sanitation), and SDG 9 (Industry, Innovation, and Infrastructure). From developing renewable energy technologies to creating systems that enhance water and sanitation accessibility, science serves as the bedrock of these innovations.

Science also plays a critical role in SDG 2 (Zero Hunger) by improving agricultural methods, crop yields, and food storage. Through genetic engineering and modern farming techniques, scientists can help increase food security and reduce world hunger.

Finally, science is integral to SDG 4 (Quality Education). A well-rounded education should include a robust scientific curriculum that fosters critical thinking, problem-solving, and a deep understanding of the world. Furthermore, by promoting scientific literacy, societies are better equipped to make informed decisions about policies and practices that affect sustainable development.

To make strides in achieving the SDGs, the scientific community, policymakers, and society must work together. The integration of science into policy-making processes is fundamental in developing and implementing sustainable and impactful strategies that move us closer to accomplishing these ambitious yet achievable goals.

In August 2018, the president of the World Bank noted that “‘Human capital’—the potential of individuals—is going to be the most important long-term investment any country can make for its people's future prosperity and quality of life”. Nevertheless, leaders and practitioners in academic science and medicine continue to be unaware of and poorly educated about the nature, extent, and impact of barriers to full participation of women and minorities in science and medicine around the world.
In this short video, former UN Secretary-General, Ban Ki-moon, responds to two questions about the importance of data and partnerships in advancing the SDGs.
This analysis of 160 cases of artificial intelligence (AI) being used for social good touches on all 17 of the SDGs, with Goal 3, good health and wellbeing, being particularly well documented in terms of AI for good.
In the last decades, energy scarcity has become an important issue globally. Renewable energy sources have gained importance due to limited fossil fuel reserves and increased concerns on climate change. In this regard, municipal wastewater is a remarkable energy source since huge amounts of wastewater are generated and treated all over the world every day. Conventional activated sludge (CAS) process, which has been in use for more than a century, is the most widely applied treatment method for municipal wastewater.
Elsevier, TrAC - Trends in Analytical Chemistry, Volume 110, January 2019
Microplastics are widespread contaminants, virtually present in all environmental compartments. However, knowledge on sources, fate and environmental concentration over time and space still is limited due to the laborious and varied analytical procedures currently used. In this work we critically review the methods currently used for sampling and detection of microplastics, identifying flaws in study design and suggesting promising alternatives.