The UNICEF Venture Fund is looking to invest in Open Source frontier technology solutions that have the potential to create radical change for children. We are offering up to US$100K in equity-free funding for early-stage, for-profit technology start-ups that can improve the lives of children. If your company is leveraging cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), or blockchain, we want to hear from you!
The UNICEF Venture Fund has been specifically designed to finance early-stage, Open Source technology that can benefit children. The core motivation of the Venture Fund is to identify “clusters” or portfolios of initiatives around emerging technology so that UNICEF can both shape markets and learn about and guide these technologies for children. We invest in solutions clustered around $100 billion industries in frontier technology spaces such as blockchain, virtual and augmented reality, machine learning, and artificial intelligence.
What we’re looking for?
UNICEF’s Venture Fund is closely monitoring digital trends, particularly around connectivity, data integrity, and social media’s impact on misinformation. The Fund aims to invest in tools, platforms, and games that help youth identify misinformation and build media literacy.
We focus on the positive potential of technologies like AI, machine learning, and big data to validate information and develop solutions that enhance digital trust. We’re also exploring blockchain to secure data integrity and reduce intermediaries.
Currently, the Fund seeks companies that are leveraging AI or Blockchain software solutions to address some of our most pressing questions, which include but are not limited to:
Area 1
Misinformation and Disinformation
Are you creating tools, platforms or games leveraging new technologies to verify information and combat misinformation and/or disinformation? Or are you delivering behavioral interventions to consistently inform young people about misinformation and/or disinformation? We are particularly interested in approaches that address mis/disinformation in multiple languages and formats (e.g. audio, video, image) and encourage platforms accessible to persons with disabilities. Potential application could explore solutions such as:
Game-based social and behavioral change interventions or platforms to help identify mis/disinformation
Mechanisms to review information, identify mis/disinformation, and/or provide legitimacy to true information shared online, for example software that can detect deepfakes in videos and images
Platform-agnostic tools using data science and AI to identify and analyze false or inaccurate content, and track the source and/or spread of this content
Interactive tools or games for children to engage with and learn about fact-checking
Mechanisms to tag data or watermark content at the source or while its being circulated to increase trust in it
Tools which leverage the power of crowds to collectively monitor or identify data inaccuracy and to build trust through the power of social networks
Tools which can eliminate the need for third party auditing through innovative use of blockchains in a data collection or recording use case
Tools to audit social media platforms which are non-transparent (such as platforms which do not disclose their content recommendation algorithms or peer-to-peer messaging platforms), to determine how effective they are at removing or labelling mis/disinformation
AI-enabled systems to manage mis/disinformation during crises and ensure the dissemination of accurate information.
Area 2
Data generation, collection and analysis
Are you using novel approaches to compile and validate large amounts of training data? Or creating new data through field data collection, crowdsourcing, or social network platforms? This could include use cases such as:
Building safe and secure data collection and management systems following Open standards (for transparency and accountability) while anonymizing sensitive data or leveraging privacy-enhancing technologies
Developing models to analyse large amounts of data, generate insights for decision-making and resource allocation
Identifying methods to manage emotional or cognitive bias in data collection
Generating new data through field data collection, crowdsourcing or social network platforms for understanding trends and conducting situational analysis
Providing transparency and accountability to how data is collected, managed, analysed, bench-marked, and generated
Developing systems for navigating existing resources and available information
Area 3
Digital Trust
Are you leveraging existing and new technologies to build digital trust? Or are you generating insights to assess and mitigate the threats and harms for children in digital environments? We are seeking startups that are building new tools, for instance:
Decentralized protocols for content ownership, attribution, and licensing using blockchain technology
ML/AI applications to monitor and model potential online risks to children, including those generated by AI systems
Blockchain tor AI tools to ensure credible proof of humanity and secure “KYC” processes.
Tools that use digital footprints from sources like social media or mobility patterns to generate insights, such as risk analyses or forecasts to trigger interventions before a crisis occurs
Tools that leverage blockchain to verify online content, for example by creating trusted collections of information voted on by verified sources against transparent criteria
Systems which improve data provenance and auditability
Game-based educational tools and guidance for children to learn about the concepts of privacy, respect and sharing of content online
We are not limited to the areas mentioned. We are actively seeking companies that push the boundaries with frontier technologies in innovative and scalable ways with global relevance.
If you think you meet the UNICEF Venture Fund criteria, we want to hear from you!
