Open 17 Spring 2020
O17 is a challenge-based, online interactive coaching programme to help young global innovators connect and shape good ideas into viable social innovations projects. O17 supports projects that enable grassroots public participation and citizen science through the use of open data and crowdsourcing.
This year's theme is all about how artificial intelligence (AI) innovations can help achieve the Sustainable Development Goals (SDGs). Prior experience with Artificial Intelligence is not necessary. Your mission is to pitch - in a 30sec video OR a written post (150 words or less) - an idea on how we can address one of the following challenges.
Challenge provider: ECMWF and WMO (more info)
Predicting river flows is critical for managing global water resources. How could you combine AI open data sources and measurements made by citizens to predict river flow in your region?
Challenge provider: Deltares and WMO (more info)
Forecasting rainfall-induced landslides is challenging. How can AI improve the landslide predictions in your region by using historical landslide datasets as well as crowdsourced data?
Challenge provider: UN Library Geneva
The UN is digitizing the archives of its predecessor the League of Nations. How could the study of historical trends in topics such as pollution, peace or poverty, be assisted with AI?
Challenge provider: UNCTAD
Reporting is an important tool for transparency, but how can one extract useful information about SDG investments from thousands of documents? Use AI to automate analysis of financial reports.
Link to their project : https://sdginprogress.com/projects/553/steps
Abstract : Landslides are a damaging natural hazard because of their difficulty in forecasting, and fast onset that limits emergency responses. We aim to model a spatial variable that helps in predicting the chances of occurrence of such an event. We also propose to develop a multi-platform application aimed to crowdsource the process of data accumulation of any such event and update our model based on the procured data.
Link to their project : https://sdginprogress.com/projects/533/steps
Abstract : As far as we can know, human health condition can be predicted by bacteria in the small intestine. Similarly, we can draw a prediction of the relationships between landslides and local properties, such as precipitation intensity and duration, the specific topography, land cover, soil type and soil layering, and with study in the density of certain biotic populations, in order to predict landslides.
Link to their project : https://sdginprogress.com/projects/513/steps
Abstract : Groundy has the mission to encourage the worldwide communities to become self-sufficients. With advice from the application, the user finds the most suitable crops according to their geographical region and the comforts of your home. In this way, the plantations are creates and the process progresses through photographic recognition. Once the plantation is approved, it receives a unique code with a progress history in the producer's Profile ID, in order for the future consumer to search for the code and verify the history to add confidence in the product. The idea is that users founding smart communities in different cities of the world, and that these communities organize events, product exchanges and organic micro-enterprises to promote education and development in different populations. In turn, solving food problems such as malnutrition, environmental problems such as food waste and prevent problems related to food shortages and climate change, organizing society into self-sufficient communities from today to the future.
Link to their project : https://sdginprogress.com/projects/524/steps
Abstract : O17-2020 Challenge #2: Indonesian National Board for Disaster Management stated that there is an inclining trend of landslides in Indonesia from 2014-2018. Banjarnegara is one of the most landslide-prone area in Indonesia. BYEBYE! LANDSLIDE is a project aims to provide landslide warning information (as part of impact-based weather prediction) to the society by exploiting the use of Artificial Intelligence (AI). By giving this information, I hope people can have spare time to prepare themselves and keep away from landslide predicted area, so it can minimize the loss of life and materials.
Link to their project : https://sdginprogress.com/projects/521/steps
Abstract : In September 2015, the General Assembly of UN adopted the Sustainable Development Goals (SDGs), also called as Agenda 2030. The ability to mobilize, sequence and make effective use of a wide variety of both financing sources and financing instruments and strategies is crucial to the success of SDGs. Reporting is an important tool for transparency, but how can one extract useful information about SDG investments from thousands of documents? This project aims to explore how AI can be used to automate analysis of financial reports.
Link to their project : https://sdginprogress.com/projects/520/steps
Abstract : Bias in AI algorithms leads to biased results. This project would outline steps that can be taken to eliminate gender bias in AI algorithms.