AI machine to help policy makers post-Covid

The behavior of complex systems such as the global environment, economy, and society are notoriously difficult to predict, especially when relying solely upon human cognition. Experts always see things from their perspective and can rarely factor in the whole picture. One organisation is looking to by-pass this human cognitive bias with AI. International AI firm SparkBeyond has set itself the task of saving the world by proposing ways forward post-Covid. Spark Beyond’s ideation Machine integrates the world’s largest collection of algorithms, and bypasses human cognitive bias to produce millions of hypotheses in minutes. It expands the scope of unique insights by auto-augmenting data with a rich network of data sources, including – but not limited to – news sources, scientific research, patents, and clinical trials, as well as geographic, census and financial data.

An open coalition forming

Spark Beyond are forming an open coalition to continue assembling and
making available global data on the pandemic and associated tools, and to exploit these using the holistic model they are developing with a project called Pivot Projects. Pivot projects will provide the multi-disciplinary expertise required to accomplish this .

SparkBeyond’s Ideation Machine will provide the group with unprecedented capabilities to understand changes as they occur in deeply complex systems. They will also have the ability to generate novel ideas, such as strategies and policies, that could be used to manage and contain the virus. The Coalition will provide the data and funding required for such an endeavor, and
XPRIZE would drive impact by taking ideas generated by the group, and turning them into various types of competitions (e.g. prize competitions, hackathons, grants etc).

About Pivot projects

Pivot Projects is a collaboration of nearly 200 volunteers from 25 countries. They come from Europe, North America, Central Africa, South East, Central Asia, and the Far East, from all walks of life – wealthy countries or poor ones.
Participants include seasoned experts in computer science, environmental sustainability, systems thinkers and modellers in engineering, economics and public policy. They work alongside community and religious leaders, as well as experts in global indigenous cultures and societal resilience. Pivot Projects also includes a large number of young people who are still in school or just launching their careers, who are determined to steer society onto paths that lead to greater sustainability, resilience, and equality.

The scope of Pivot Projects is broad and crosses many areas of human and ecological activity, including a particular focus on the COVID-19 pandemic.
The behaviors of our complex, global systems are notoriously difficult to predict, especially when relying solely upon human cognition. At the center of the Pivot Projects’ effort is a recognition that the world is made up of a myriad of interconnected natural, human, and emerging systems. Humans alone can’t make sense of all of those interdependencies. While we try to improve some things, we risk making other things worse.
Thankfully, technology allows humans to collaborate with smart machines to understand the world’s complex adaptive systems. We can use that understanding to co-create interventions that lead to holistically positive outcomes. This unique process will discover interventions which can
be acted on, such as hidden virtuous circles, connecting mutually supportive local actions with multiple benefits across multiple systems.

Pivot Projects is offering Collaborative Laboratories based on its research for national governments, global policymakers, and people and communities in regions around the world.

Pivot Projects works with the G20/T20 and COP26 teams to support their policy work. The Harnessing Human & Artificial Intelligence to Navigate the COVID-19 Era 6 project is committed to Open Data, Open Science, transparency and collaboration, and will make online tools available to run on large-scale computing systems.