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Open 17 Spring 2020

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.

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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.

  1. Estimating river flows (Challenge from WMO)
  2. Predicting landslides (Challenge from WMO)
  3. Eliminating gender bias (Challenge from ITU)
  4. Reducing food waste (Challenge from ITU)
  5. Tracking sustainability through history (Challenge from UNOG)
  6. Assessing sustainable investments (Challenge from UNCTAD)
  7. Any sustainability issue of your choice (Open Challenge)

March 25, 2020 at 7:34 PM
Created by amudha
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Team Label Colours :
Blue : 3 member team
Red : 2 member team
Green : Single member team
3 months ago

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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?

 

 

Photo by Hannes du Plessis on Unsplash

March 25, 2020 at 7:41 PM
Created by amudha
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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?

 

 

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March 25, 2020 at 7:41 PM
Created by amudha
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Challenge provider: ITU
There is increasing concern that datasets used to train AI algorithms are gender biased. How could public participation in data gathering reduce that bias?

 

 

Photo by Tim Mossholder on Unsplash

March 25, 2020 at 7:44 PM
Created by amudha
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Challenge provider: ITU
Every day food is wasted in some parts of the world, while people go hungry elsewhere. How could AI and citizen science help to reduce reduce waste and hunger?

 

 

Photo by Dan Gold on Unsplash

 

March 25, 2020 at 7:45 PM
Created by amudha
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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?

 

 

Photo by Henry Be on Unsplash

March 25, 2020 at 7:48 PM
Created by amudha
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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.

 

 

Photo by Fabian Blank on Unsplash

March 25, 2020 at 7:52 PM
Created by amudha
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This option is for applicants who are already working on a project for the SDGs, and want to develop it further using AI, crowdsourcing and open data. Specify which SDGs your project will impact and how.

March 25, 2020 at 7:54 PM
Created by amudha
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Team Members:

  • Ashish Gupta
  • Dhiraj Saharia
  • Mohit Anand

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.​

March 25, 2020 at 8:07 PM
Created by amudha
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Team Members:

  • Lori Li / Li Shilong
  • Wang Qingtian
  • Wang Yehan

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.​

March 25, 2020 at 8:08 PM
Created by amudha
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Team Members:

  • Lautaro Soza Torrijos
  • Valentin Endeiza

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.​

March 25, 2020 at 8:08 PM
Created by amudha
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Team Members:

  • Hui Ying Lock
  • Josiah Lim

Link to their project : https://sdginprogress.com/projects/538/steps

Abstract : to be filled in as the project progresses

March 25, 2020 at 8:14 PM
Created by amudha
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Team Members:

  • Barath Kanna
  • Vasanth Kumar

Link to their project : https://sdginprogress.com/projects/527/steps

Abstract : to be filled in as the project progresses

March 25, 2020 at 8:17 PM
Created by amudha
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Team Members:

  • Alejandra Estefania Garza Martínez
  • Arturi Arellano
  • Ricardo Pérez castillo

Link to their project : https://sdginprogress.com/projects/541/steps

Abstract : to be filled in as the project progresses

March 25, 2020 at 8:19 PM
Created by amudha
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Team Members:

  • Anistia M Hidayat

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.​

March 25, 2020 at 8:21 PM
Created by amudha
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Team Members:

  • Cesar Daniel Bravo Alvardo
  • Hyatt Qi
  • Moeiz Ahmad

Link to their project : https://sdginprogress.com/projects/558/steps

Abstract : 

March 25, 2020 at 8:23 PM
Created by amudha
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Team Members:

  • Elora Kalita

Link to their project :

Abstract : to be filled in as the project progresses

March 25, 2020 at 8:25 PM
Created by amudha
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Team Members:

  • Ermine Khachatryan

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.​

March 25, 2020 at 8:26 PM
Created by amudha
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Team Members:

  • Gautham Senthil Nayaki

Link to their project : https://sdginprogress.com/projects/548/steps

Abstract : to be filled in as the project progresses

March 25, 2020 at 8:27 PM
Created by amudha
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Team Members:

  • Yuhan Wang
  • Zhuorui Deng

Link to their project :

Abstract : to be filled in as the project progresses

March 25, 2020 at 8:29 PM
Created by amudha
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Team Members:

  • Oruns Dru / Dayo Orunsolo

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.​

March 25, 2020 at 8:30 PM
Created by amudha
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