Research Awards Submission Form

1. General

1.1 Nominator*

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Title First Name Surname

1.2 Category*

Please indicate which category and theme this nomination is for

2. Nominee Details

Who are you nominating for this award*

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Team

If you are nominating a Team, please enter the name of the team or the project you are nominating them for Please enter the details of the most appropriate person to contact should this nomination be successful. If you are nominating a team, please add the details for one person within that team.

Please tick the box to confirm that you have informed this team or individual that you are nominating them*

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About Project

IMPORTANT – Maximum of 300 words per answer. Answers over 300 words will immediately be discounted and NOT be considered for nomination.

Excellence and Scientific Quality (20%): Please detail the improvements made by the nominee or the nominees’ team or yourself if your applying for the award, and why they have been a success.*

Topics to help you with your answers:

Type of AI: What type of AI is involved, and what is the degree of innovation and what kind of application (in the scientific sense) and how innovative the application is in itself?
Quality of AI solution and algorithm: To what extent is the research work clear and detailed?

Scaling of impact to SDGs (20%): Please detail how many citizens/communities and/or researchers/businesses this has had or can have a positive impact on, including particular groups where applicable and to what extent.

Topics to help you with your answers:

Overall view: To what extent does the proposal reply to the overall objectives and scope of the Sustainable Development Goals with AI techniques?
Measurable progress of the AI solution on specific SDGs: To what extent does the proposal contain objectively verifiable indicators for project outcome, notably through the organisation of regular user satisfaction surveys and programme evaluations?
Clarity of SD components: How does the proposal provide a clear technical solution to the SDGs approaches that make use of AI in the general public and in relevant sectors/domains (research, non-profit, corporates, public bodies, start-up)?
Projection of impact and uptake of the AI solution to Sustainable Development: To what extent is the project likely to increase the impact of AI in the field of Development, the use of AI based businesses, solving development problems?
Global impact: How does the proposal demonstrate an ability to ensure a wide and balanced impact, potentially across a number of UNESCO Member States?
Global added value: Is the proposal contributing to the development of a vibrant AI for SDGs ecosystem?

Scaling of AI solution (20%): Please detail what proof of concept or implementations can you show now in terms of its efficacy and how the solution can be scaled to provide a global impact ad how realistic that scaling is.*

Topics to help you with your answers:

Evidence for impact: What is your evidence for impact and what kind of problems are you facing in terms of scaling up?
Scalability and sustainability of AI solution: A particular attention will be paid to the ability of the approach to increase of scaling and the use of AI in new user communities and application areas across SDGs.
Customer and end user: To what extent is the project likely to support or encourage the emergence and growth of companies developing applications based on AI and Development?
Network effect: To what extent is the project likely to support the emergence of a vibrant AI for SDGs ecosystem across the globe, encouraging exchanges between relevant stakeholders (research centers, universities, small and large companies…)?

Ethical aspect (15%): Please detail the way the solution addresses any of the main ethical aspects, including trustworthiness, bias, gender issues, etc.*

Topics to help you with your answers:

Ethical considerations and implications of AI (both long and short term): It the application of the AI technologies ethical and equitable, especially in the Global South where these are potentially absent, and salient power asymmetries persist?
Trustworthiness of AI solution: Are all three components, which should be met throughout the system's entire life cycle: (1) it should be lawful, complying with all applicable laws and regulations (2) it should be ethical, ensuring adherence to ethical principles and values and (3) it should be robust, all in place?
Inclusiveness of solution: To what extent does the proposal contain specific elements of added value, such as innovative approaches, models for good practice, promotion of gender equality, equal opportunities, etc.?

Validate Nomination – Senior Management

Please enter the details of a Senior Manager within the team or individual’s organisation who can validate this nomination as factually accurate.

If you have nominated somone else, please enter the details of a Senior Manager within the team or individual’s organisation who can validate this nomination as factually accurate.

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