The UN Innovation Network (UNIN) is an informal, collaborative community of UN innovators interested in sharing their expertise and experience with others to promote and advance innovation within the UN System. The UNIN is open to innovators from all UN Agencies as well as external partners and to date, representatives from 65+ entities in over 70 countries have joined the Network.
The second edition of the Financial Inclusion Global Initiative (FIGI) Symposium will take place in Cairo, Egypt from 22-24 January 2019. The Symposium is organized by the International Telecommunication Union (ITU), jointly with the World Bank Group and the Committee on Payments and Market Infrastructures, with the support of the Bill & Melinda Gates Foundation, and is kindly hosted by the National Telecommunication Regulatory Authority (NTRA) of Egypt.
Join UNICEF Innovation Fund’s first free online master class on January 23, 2019 at 9am EDT with Alisee de Tonnac, CEO of Seedstars. Why is investing in female-led companies smart? What do investors look for in a company? How can you best position yourself to access early investments?
Together with private and public companies as well as NGOs and the philanthropic community, the luncheon will pave the way towards collaboration and agenda setting towards more agile and effective SDG led innovation in International Organizations.
The workshop will include sessions on current space exploration cooperation mechanisms and potential future ones and space for women.
Who can imagine Valentine’s Day without bon-bons, or Easter without chocolate eggs? Yet generations-old cocoa farming businesses are on the verge of collapse in the Amazon because cocoa farmers don’t receive fair pay for their work. Using blockchain technology, the United Nations Development Programme in Ecuador, AltFinLab and Amsterdam’s FairChain Foundation are developing the world’s first blockchain shared-value chocolate.
So far, developments in AI have been predominately driven by private sector technology actors, but growing interest by African governments has seen the start of conversations around “AI strategies” for growth and governance across the continent. AI is not typically applied to a defined problem in a neutral way. Navigating the complexities of AI application calls for a typology of positive AI and negative AI in the governance context. Positive AI is the use of such systems for broad social benefit. Conversely, negative AI is used for social division, suppression, or even violence.
Each year, humanitarian aid organizations save and protect tens of millions of people caught up in crises across the world. Their interventions are more timely, relevant and effective than ever. But humanitarian action is not always as fast as it should be, and needs are unevenly met. Even as record sums are raised, growing levels of vulnerability worldwide have resulted in a stubborn and harmful gap between need and response. Historically, donors have financed a little more than half of what the United Nations asks for each year. So, what do we need to do better?
To boost the percentage of coverage, humanitarian agencies need to break out of traditional funding models that are no longer sufficient for the complex and protracted crises we face. Humanitarian organizations – and their backers – will need to embrace one of the most important drivers of success: the ability to adapt and innovate their way out of problems.
In communities across the world that are prone to natural disasters, having an effective disaster response strategy in place is vital to save lives and support affected communities. To successfully coordinate what are often complex disaster relief efforts, governments, disaster response authorities and humanitarian agencies need useful, up-to-date information that can be easily accessed.
Artificial Intelligence (AI) is converging with an extraordinary array of other technologies, from biotech and genomics, to neuro technology, robotics, cyber technology and manufacturing systems. Increasingly, these technologies are decentralized, beyond State control, and available to a wide range of actors around the world. While these trends may unlock enormous potential for humankind, the convergence of AI and new technologies also poses unprecedented risks to global security. In particular, they create challenges for the multilateral system and the United Nations, which operate at the inter-State level.
Advances in information and communication technologies are driving global changes in our society—from the way we communicate with each other to the forces that shape our economy and behaviour. Insights generated from big data are already transforming many domains. Mobility data from mobile phone networks can reveal the extent of displacement after a disaster and help predict the spread of infectious diseases, while mobile airtime purchases can help track food consumption. Roofing materials visible from space serve as a proxy for poverty, changes in debit card usage indicate the impact of a crisis, and postal records have been used to estimate trade flows. At the same time, the rapidly evolving capabilities of artificial intelligence offer new opportunities to unlock the value of big data for more evidence-based decision-making that can accelerate progress towards the SDGs.
Rarely a day passes without a story on an exciting, or perhaps terrifying, advancement in technology as developers discover new ways to leverage quantum computers, robotics, 3D printing, and AI to solve new and age-old problems alike.
One exciting new development that tech watchers may have missed this year: efforts the United Nations has taken to modernize its work and better prepare itself as a platform for global discussions on the promises and perils of new technologies. Much of this work has been led by Secretary-General António Guterres, an engineer by training who took the helm at the UN determined to modernize and reform the organization to better prepare it to face the challenges of the 21st century, including achieving the ambitious Sustainable Development Goals by 2030.
An inherent problem with mobile surveys is that respondents who are able to own a phone tend to be from households that are better-off and literate.
This leads to a selection bias in our results: respondents who are able to participate in the mVAM surveys are systematically different from those who are not. How do we ensure that our survey results are representative of the real population?
Accurate estimates of population demographics are vital in order to understand social and economic inequalities, and are essential to UNICEF’s work, as knowing where the most vulnerable children and families live is important for resource allocation. Traditional methods of collecting such estimates, however, are both time-consuming and expensive. Here, we explore a complementary approach.
Secretary-General António Guterres announced the launch of a global task force charged with recommending strategies to harness the potential of financial technology to advance the Sustainable Development Goals. “We have already seen how technology has helped expand financial inclusion—itself an important goal—by 1.2 billion people in just six years,” said Mr. Guterres. “But we have only just begun to tap the potential of digital finance and investment to meet the broader agenda set forth in the Sustainable Development Goals and the Paris Agreement on climate change.”
Deliver a working and tested alpha version of a product for children with disabilities around alternative and augmentative communication and taking the lead on the architecture, development and documentation process for the product.