Data & Analytics

Data & Analytics play a vital role in the realization of the Sustainable Development Goals (SDGs). SDG 17 (Partnerships for the Goals) specifically emphasizes the need to enhance the availability of high-quality, timely, and reliable data. Accurate data and insightful analytics are essential for assessing progress, identifying gaps, making informed decisions, and creating effective policies related to each of the SDGs. For instance, they can help enhance education systems (SDG 4), optimize health services (SDG 3), reduce poverty (SDG 1), and mitigate climate change impacts (SDG 13). Moreover, advances in data collection methods, including mobile technology and remote sensing, can provide valuable insights for achieving sustainability. Therefore, robust data and analytics are integral to monitoring and accomplishing the SDGs.


Science of the Total Environment, Volume 794, 10 November 2021

All aspects of sustainable development - biodiversity, food production, water treatment, climate change, energy opimisation - in years to come will capitalize greatly on digitalization.
The drive to curb carbon emissions — and remove carbon from the atmosphere to the point where society is making a “net zero” contribution to CO2 levels — is essentially a scramble to secure our future on this planet. A new report from Elsevier aims to advance the understanding of research and innovation in net zero and how it supports the drive toward a clean-energy future.

COP26 is the 2021 United Nations annual climate change conference. COP stands for Conference of the Parties. Parties are the signatories of the United Nations Framework Convention on Climate Change (UNFCCC) - a treaty agreed in 1994 which has 197 Parties (196 countries and the EU). The 2021 conference, hosted by the UK, together with our partners Italy, in Glasgow, will be the 26th meeting of the Parties, which is why it's called COP26.

The Lancet Countdown is an international collaboration that independently monitors the health consequences of a changing climate. Publishing updated, new, and improved indicators each year, the Lancet Countdown represents the consensus of leading researchers from 43 academic institutions and UN agencies.
Elsevier, Current Opinion in Green and Sustainable Chemistry, Volume 31, October 2021
Microplastic (MP) and nanoplastic (NP) pollution is among the global environmental concerns of the 21st century owing to its transboundary distribution and persistence. The number of studies focused on the determination of MPs in air, water, sediment, soil, and biota of an important number of ecosystems has increased exponentially. However, the impact that the methodologies used to isolate and determine MPs and NPs have on the environment owing to the consumption of reagents and energy and the generation of waste is not yet studied.
Alzheimer's disease is a strong predictor in survival after hip fracture surgery.

The Journal of Climate Change and Health, 2021, 100056

Artificial intelligence (AI) is a rapidly developing field contributing to the English National Health Service (NHS) goals of more efficient care and reduced climate impact.
We conducted a retrospective multicenter international analysis to identify prognostic factors, survival, and treatment-related outcomes in patients with HIV-BL contemporaneously treated. In this large collaborative effort, we analyzed a cohort of 249 patients with newly diagnosed HIV-BL treated at 35 centers in the United States and United Kingdom.
Background: Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. Methods: In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe. A three-stage analysis strategy was used. First, the temperature–mortality association was fitted for each location by use of a time-series regression.
A Comment on mental health data, in the context of SDG 3, focusing specifically on sharing of data between data custodians and researchers in the UK.