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Apply Now: $25 Million in Artificial Intelligence Grants from Google

By Wayan Vota on January 14, 2019

google artificial intellegence grant funding

Google believes that artificial intelligence and machine learning can provide new ways of approaching problems and meaningfully improve social and economic development.

They want to support organizations that are using the power of these emerging algorithmic solutions to address social and environmental challenges.

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Google AI Impact Challenge is an open call to organizations around the world to receive support from Google’s AI experts, $25 million in Google.org grant funding, credit and consulting from Google Cloud, and more.

Hurry! Applications are due Midnight PST January 22, 2019

Public and non-profit organizations can apply, as well as for-profit business that apply for projects with a charitable purpose. All proposals should have algorithmic accountability: intellectual property created with grant funding from Google must be made available for free to the public under a permissive open source license.

Artificial Intelligence for Social Good

Google is looking for projects that are interested in using artificial intelligence and machine learning across a range of social impact domains, including:

  • Arts, Culture and Humanities
  • Humanitarian Crisis Response
  • Economic Empowerment
  • Education
  • Environment, Conservation, and Energy
  • Equality and Inclusion
  • Healthcare
  • Infrastructure
  • Public and Social Sector Management

Google will consider early-stage ideas in these sectors with a clear and feasible plan for implementation that will benefit society.

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You don’t even need a dataset from the sector, just a strong idea for how to apply AI and a plan to collect or access a training dataset. Applicants should be interested in using one or more of these aspects of AI and ML:

  • Apriori Algorithm
  • Artificial Neural Networks
  • Collaborative Filtering
  • Decision Trees
  • Deep Learning
  • K Means Clustering Algorithm
  • Linear Regression
  • Logistic Regression
  • Naïve Bayes Classifier Algorithm
  • Nearest Neighbours
  • Random Forests
  • Support Vector Machine Algorithm

Note that you don’t need to have experience using AI or even technical experts on staff when you apply. You can partner with data scientists, academic experts, or engineers for guidance and implementation support after you receive funding.

AI Grant Funding Evaluation Criteria

In the grant funding application guide, Google details the five criteria that they will use to judge entries. Please make sure your idea compasses all five areas to be compliant and successful.

  1. Impact. How will the proposed project address a societal challenge, and to what extent? Is the application grounded in research and data about the problem and the solution? Is there a clear plan to deploy the AI model for real-world impact, and what are the expected outcomes?
  2. Feasibility. Does the team have a well-­developed, realistic plan to execute on the proposal? Does the team have a plan to access a meaningful dataset and technical expertise to apply AI to the problem? Have they identified the right partners and domain experts needed for implementation?
  3. Use of AI. Does the proposal apply AI technology to tackle the issue it seeks to address?
  4. Scalability. If successful, how can this project scale beyond the initial proposal? Can it scale directly, serve as a model for other efforts, or advance the field?
  5. Responsibility. Does the proposed use of artificial intelligence align with Google’s Responsible AI Practices?

Google encourages collaboration between technology and social sector experts to bring the best ideas from both disciplines together to achieve greater impact. However, be aware that overhead expenses are limited to 10% of the total budget or less across all entities involved in the project.

More Funding Opportunities

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Then please sign up now to get our email updates. We are constantly publishing new funding opportunities like $100,000 for Digital Identification Systems from World Bank.

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Written by
Wayan Vota co-founded ICTworks and is the Digital Health Director at IntraHealth International. He also co-founded Technology Salon, MERL Tech, ICTforAg, ICT4Djobs, ICT4Drinks, JadedAid, Kurante, OLPC News and a few other things. Opinions expressed here are his own and do not reflect the position of IntraHealth International or other ICTWorks sponsors.
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