AI & the sustainable development goals: The state of play


Report by 2030Vision: “…While the world is making progress in some areas, we are falling behind in delivering the SDGs overall. We need all actors – businesses, governments, academia, multilateral institutions, NGOs, and others – to accelerate and scale their efforts to deliver the SDGs, using every tool at their disposal, including artificial intelligence (AI).

In December 2017, 2030Vision published its first report, Uniting to Deliver Technology for the Global Goals, which addressed the role of digital technology – big data, robotics, internet of things, AI, and other technologies – in achieving the SDGs.

In this paper, we focus on AI for the SDGs. AI extends and amplifies the capacity of human beings to understand and solve complex, dynamic, and interconnected systems challenges like the SDGs. Our main objective was to survey the landscape of research and initiatives on AI and the SDGs to identify key themes and questions in need of further exploration. We also reviewed the state of AI and the SDGs in two sectors – food and agriculture and healthcare – to understand if and how AI is being deployed to address the SDGs and the challenges and opportunities in doing so….(More)”.

Open Urban Data and the Sustainable Development Goals


Conference Paper by Christine Meschede and Tobias Siebenlist: “Since the adoption of the United Nations’ Sustainable Development Goals (SDGs) in 2015 – an ambitious agenda to end poverty, combat environmental threats and ensure prosperity for everyone – some effort has been made regarding the adequate measuring of the progress on its targets. As the crucial point is the availability of sufficient, comparable information, open data can play a key role. The coverage of open data, i.e., data that is machine-readable, freely available and reusable for everyone, is assessed by several measurement tools. We propose the use of open governmental data to make the achievement of SDGs easy and transparent to measure. For this purpose, a mapping of the open data categories to the SDGs is presented. Further, we argue that the SDGs need to be tackled in particular at the city level. For analyzing the current applicability of open data for measuring progress on the SDGs, we provide a small-scale case study on German open data portals and the embedded data categories and datasets. The results suggest that further standardization is needed in order to be able to use open data for comparing cities and their progress towards the SDGs….(More)”.

Crowdsourcing and Crisis Mapping in Complex Emergencies


Guidance paper by Andrew Skuse: “…examines the use of crowdsourcing and crisis mapping during complex emergencies. Crowdsourcing is a process facilitated by new information and communication technologies (ICTs), social media platforms and dedicated software programs. It literally seeks the help of ‘the crowd’, volunteers or the general public, to complete a series of specific tasks such as data collection, reporting, document contribution and so on. Crowdsourcing is important in emergency situations because it allows for a critical link to be forged between those affected by an emergency and those who are responding to it. Crowdsourcing is often used by news organisations to gather information, i.e. citizen journalism, as well as by organisations concerned with emergencies and humanitarian aid, i.e. International Committee of the Red Cross, the Standby Task Force and CrisisCommons. Here, crowdsourced data on voting practices and electoral violence, as well as the witnessing of human rights contraventions are helping to improve accountability and transparency in fragile or conflict-prone states. Equally, crowdsourcing facilitates the sharing of individual and collective experiences, the gathering of specialized knowledge, the undertaking of collective mapping tasks and the engagement of the public through ‘call-outs’ for information…(More)”.