Distributed data and federated analytics models open up new avenues for health sciences researchers and health care businesses, creating options for improvement in data privacy, security, and governance as well as new opportunities for data sharing across organizations without the need for data integration. Come join us in looking at some real-world examples of distributed approaches, including recent applications related to COVID-19 testing and vaccination data, and hear expert opinions on what the most promising new areas will be for development in the field, as well as the challenges that lie ahead.
With more companies generating data and finding ways to monetize it, alongside rapid growth in digital asset markets, what opportunities exist to create data-backed securities and financial derivative products backed by real world digital data? This session explores the potential for Data Economic Derivative Products, including an overview of the types of instruments that might be developed, what would make them unique compared to other digital asset type instruments such as cryptocurrencies or NFTs, the key features that would distinguish them in the market, and how they might be used to create impact by capturing new avenues for investment or aligning financial incentives in challenging areas.
What does it mean to actively invest in data, and what are the opportunities that exist for the institutional or retail investor to capture the growth in how data is used and valued across industries? Where are digital and data assets heading in terms of enabling novel financial instruments and new investment options? This discussion covers current perspectives on what “Investing in Data” means, the potential construction and regulation of novel investment instruments and options that use digital data, and an exploration of investments that are collateralized by digital data-backed assets.
Personal financial data is highly sensitive and highly valuable. What are the growing opportunities and markets around personal financial data, and what are the utilities of such data to people and to businesses? What should we be concerned about when our personal financial data is being used by companies to make decisions or adjudicate transactions? How should we understand privacy, control, and value from the perspective of the data creators and producers?
Arka Ray, Managing Director of The Data Economics Company, sits down with Vaibhav Rikye, Senior Director of Strategy and Planning at Uber, about the Future of the “Gig Economy”, and particularly how consumer data can drive more value for gig workers, consumers, companies, and the infrastructure that gig economies use. What are the opportunities, for example, to affect positive change through data and incentives? Could gig economy companies and workers contribute to positive changes in climate and energy sustainability, for example?
The COVID pandemic has generated billions of new data points during what may be a once-in-a-lifetime global crisis. This session explores both strategic and technical approaches to building a distributed, decentralized database that can enable research, government, and enterprise organizations to run queries and gather analytics that aid in pandemic preparedness, prevention, and management based on existing currently siloed COVID-related datasets.
Current economic “languages” center on instruments such as financial currencies to represent value and meaning in exchange. How might the application of current technologies, specifically those enabled by digital data, shift perspectives described in historical economic frameworks by enabling highly detailed, and yet highly contextual, measurement, description, and tracking of complex and numerous inputs and outcomes within economic activities? The technological capabilities of digital data in the 21st century allow us to expand upon our existing economic languages and potentially use data as a means to agree upon and to communicate value, in part because of the ability to use digital data and data systems to express complex outcomes and the inputs that contribute to such outcomes. We further hypothesize that as digital data becomes a means of economic measurement and expression, digital data in and of itself may take on additional intrinsic value because of its utility as such a means of value expression.
Innovative technologies for better education have been in the spotlight recently because of COVID-related remote learning, but the development and deployment of educational tools reaches far beyond immediate classroom needs. From child to adult learners, the opportunities for new forms of self-driven education, particularly paired with digital data-backed incentives to engage and inspire, open windows for educators to discover and test new models and methods to keep students excited about learning on an ongoing basis.
Existing Intellectual Property (IP) law frameworks were not designed for a world of digital and data assets. How does intellectual property ownership function and what frameworks can we apply when considering new forms of digital and data assets from crypto to NFTs to Lydion Data Assets? Hear from legal experts on the various approaches to creating, defending, and working with IP in this emerging field.
Alka Bhatt, MBA, PharmD, of Bristol Myers Squibb sits down with Lisa Mahapatra, Head of Product Design at ORSNN and an alum at Uber, and Dipti Patel, presently Chief Happiness Officer at IORAD, to discuss the experiences of women in STEM careers and high-tech companies.
Companies outside the financial sector are increasingly “embedding” finance into their products and value propositions, challenging the traditional position of banks and leveraging technology to bring finance products to their customers in new ways. Some of the most exciting companies in fintech and technology today are in the business of helping their customers develop financial products and financial instruments that co-exist with their non-finance offerings. Given the power of data economics to unlock financial instruments such as data-backed derivatives, and the possibilities of using data economic operating systems such as the Lydion DEOS to transform data into financial instruments and enable complex transaction and data tracking across distributed sources, what are the larger implications for enabling embedded finance across numerous sectors?
Casey McPherson, musician, Rare Disease parent, and Executive Director of the To Cure a Rose Foundation, sits down with Sanath Ramesh, also a rare disease parent, CEO of Open Treatments and Software Engineering Manager at Amazon, to discuss new potential models for funding rare disease cures and ensuring patient access to such cures and treatments when developed.
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A brief introduction to the science of Data Economics, the motivations behind the discipline, and the Lydion DEOS software engine that brings Data Economies to life through Lydion DENETs (Data Economics Networks). Also serves as a prologue to the Introduction to Data Economics series of papers.