Can we design data privacy strategies that are robust even against hackers that have auxiliary information? Differential privacy makes it possible to analyze data and generate insights while preserving the privacy of the individual data owners.
Entrepreneurs, business managers and policy makers use feedback loops to improve products, services & policies that impacts people at a local & global scale.
Loopers want to better understand the elements that impacts their quality of life, they want to connect with people based on similar experiences and they want to participate in the new data economy to generate income.
How do you monetize in a way that ensures that the goals of the software platform and the goals of the people using the platform are aligned?