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The Data Economics Company (DECO) was formed to realize the potential impact that Data Economic science can have across all spheres of human activity and industry. In this clip, we walk you through how we’re building towards this vision in 3 phases over a period of 9+ years from 2018 to 2026 and beyond.

The Data Economics Company (DECO) was formed to realize the potential impact that Data Economic science can have across all spheres of human activity and industry. In this clip, we introduce the Virtual Session that took place on January 21, 2021 and set the agenda for the presentation.

In order to more fully understand the work of the Data Economic Company, it’s important to have a basic understanding of what Data Economics is and what the Lydion Data Economic Operating System does. This clip serves as a refresher around the science of Data Economics.

In order to more fully understand the work of the Data Economic Company, it’s important to have a basic understanding of what Data Economics is and what the Lydion Data Economic Operating System does. This clip follows the Data Economics Science Refresher and discusses the big-picture opportunities enabled by what the Lydion Data Economic Operating System can do.

What’s next for the Data Economics Company? In this clip, we cover our vision and what to expect in the next Phases of growth for DECO.

In this clip, we field questions from members of the audience around the content of the rest of the presentation.

Access to high-cost therapies presents a challenge to biopharma companies, payers, patients, and clinicians alike. What is the role of digital data in facilitating market access to these new products? From scoping market size and determining patient populations to partnering - with both payers and clinical sites—digital data from a variety of sources is becoming even more critical to decision-making. As these markets grow more complex, and more data becomes available from a growing number of sources including directly from patients in the form of Patient Reported Outcomes, the implications to risk management and mitigation, reinsurance, and strategies for both pharma and payers present questions across the ecosystem.

How will we pay for new high-cost medicines to treat diseases? Is there a way to better align incentives of biopharmaceutical manufacturers, health insurers, and health care delivery systems? “Value Based” or “Outcome Based” arrangements hold promise for aligning payments to results, but come with a host of implementation challenges ranging from pricing policy barriers to a need for high-quality data to define and measure the results, and the costs, of drugs delivered. A number of industry players are taking bold steps to test these models in the market and are learning firsthand what works, what needs improvement, and how data and outcomes can potentially power new models for drug reimbursement and pricing.

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?

Digital Assets and Data Assets exist within an evolving regulatory framework. Hear from regulatory and compliance experts on current approaches in different markets—the US, UK, EU, and beyond— and the key regulatory requirements for Digital and Data Assets. What are the key challenges for compliance when designing, issuing, and trading Digital and Data Assets? How could the regulatory framework evolve to better suit the needs of Digital and Data Asset owners? What are the key steps to be aware of in terms of compliance for Digital and Data Assets?

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.

Storytelling has become a core tenet of our activities in everything we do online, and seemingly offline. In a world where interactions are tracked and driven more and more by both human and artificial programmatic behavior, where does the authentic story fit in? This panel discusses the role of story, narrative, and empathy in creating fulfilling digital transactions not just in video games and marketing, but in everything we do.

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.

Even as new battery technologies develop, many vehicles around the world still rely on lead-acid batteries for their starting power. The lead in these batteries can be handled in a way that results in efficient recycling and re-use in new batteries—but in some markets, the taxation structure has created incentives for unregulated recycling that results in dangerous pollution and health effects while recovering less of this valuable metal for reuse. In this session, experts discuss how digital data can be used to trace metals through recycling loops involving manufacturers, distributors, retailers, and consumers, and what incentives might help keep lead and other battery metals within a controlled supply chain, minimizing opportunities for pollution while encouraging good stewardship of valuable resources.

An incredible amount of untapped potential exists in the data generated by homes and buildings. How upgrades—including those to make homes safer, more energy efficient, or more fire or earthquake resistant—are incentivized and financed could be revolutionized by enabling owners to monetize data generated by their properties. Long term, this value could be used to realize benefits for health, water quality, social justice, and more.

A new administration is in the White House and the country is emerging from a year-long pandemic public health crisis—so, what’s currently on the table in terms of policy priorities, things to watch for, and how the Washington DC conversation will change as Biden’s first term gets underway amidst a post-pandemic recovery?

Hear from our “inside the Beltway” experts on what to expect on policy from health care to fintech, economics, and infrastructure.

Exploring how this emerging practice of holistic agriculture, which defies definition because it is so site specific in responding to local environmental and community conditions, can contribute to mitigating the existential environmental threat the world now faces.

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.

Edward Bukstel, CEO of Giupedi, and Rini Gahir, CEO of Mozzaz, will discuss experiences standing up a new application using Microsoft’s Azure Artificial Intelligence Platform and how medical data presents problems and opportunities in Machine Learning applications. We will highlight a workers compensation application utilized for care coordination among physicians, lawyers, patients and other stakeholders.

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.

How can we make Smallholder Farmers’ cotton data valuable to brands like Timberland?

How do we properly manage required government regulations without losing the connection between soil, plants, and human health?

How can smallholders benefit from partnerships with data-focused entities? How does use of this data impact their bottom line?