The one-day event examined the challenges of web2 technologies and explored how web3 technologies could address them

Digitization has changed our economic, social, and political infrastructure irrevocably, centralizing and codifying our knowledge and challenging our institutions and norms. It has also given rise to misinformation, disinformation, polarization, and a succession of other challenges to civil society. With the recent drive toward decentralization, social media, interest and affinity groups, communities, news media, and other institutions and platforms face various challenges and opportunities enabled by AI, web3, and emerging technologies.

On October 7, 2022, the Stanford Digital Economy Lab brought together leaders from industry, civil society, and academia for Decentralized Society: Digitization, Democracy, and Civil Discourse, an event to discuss the promise and peril of decentralized digital architecture for our political and economic systems. 

During the event, speakers addressed a question often debated by academics and civil society alike: “What is it about web2 technology that poses a challenge to democracy, and how can emerging technologies protect it?” Current web2 technology promotes great velocity, virality, and volume of information transfer, exacerbated by anonymity and echo chambers. The strength and reach of social media platforms have turned private companies into de-facto regulators, and consequently, has given them more influence than governments over democratic participation and free speech. 

Decentralized platforms may address some of these challenges and return more control to the hands of users over their data, the information they consume, and how they choose to participate in democratic institutions. However, these platforms require society to address a series of questions:

• – Who will own the data — individuals, companies, or another party?
• – If data becomes an asset class, what does it mean for your personal life, society, and the economy?
• – Who will build the core protocols, and how will they be built?
• – How do we maintain the benefits of network effects in a decentralized system?
• – How will people be incentivized to adopt web3?
• – Who will govern web3 and how can we strike a balance between regulation and innovation?
• – What can we do now to protect democracy and privacy as the new infrastructure is being built?

The event was the first of two fall gatherings focused on decentralized digital architecture, in which the Lab explores the impact of AI and digital infrastructure on society by examining key questions, such as governance strategies, privacy paradigms, business models, and content moderation systems.

Curious to learn more? Register for Building the New Economy: Data as Capital, which will take place on November 17, 2022, from 10:00 am to 5;00 pm PT at Stanford University. Part of Stanford Digital Assets Week, this special event will examine the feasibility and implications of human-centered web3, including the role of collective citizen organizations in managing the way data is controlled. Participants will also explore resilient and inclusive systems that spread financial and health benefits and the possibilities we unlock when systems are interoperable so that knowledge, trade, and interaction can flow across company and national boundaries.

The new ADP® National Employment Report (NER) launched today in collaboration with the Stanford Digital Economy Lab.

Earlier this spring, the ADP Research Institute paused the NER in order to refine the methodology and design of the report. Part of that evolution was teaming up with data scientists at the Stanford Digital Economy Lab to add a new perspective and rigor to the report. The new report uses fine-grained, high-frequency data on jobs and wages to deliver a richer and more helpful analysis of the labor market.

Let’s take a look at some of the key changes with the new NER, along with the new ADP® Pay Insights Report.

It’s independent. The key change is that the new ADP NER is an independent measure of the US labor market, rather than a forecast of the BLS monthly jobs number. Jobs report and pay insights are based on anonymized and aggregated payroll data from more than 25 million US employees across 500,000 companies. The new report focuses solely on ADP’s clients and private-sector change.

It’s comprehensive. The new report features jobs data by industry, establishment size, and US Census region, as well as pay insights in the ADP® Pay Insights Report. The data will also include measures of demographics, such as age and gender.

ADP payroll data includes payroll transactions data—when a person is paid, how much is paid—as well as administrative data about workers on the company payroll (even if they are not paid in the current pay period) and characteristics of the employer and employee.

It’s high frequency. The new NER provides a jobs estimate for the reference week in the current month and a weekly data series for the previous month. This new approach provides a high-frequency view of the labor market—something the old report couldn’t do—which allows economists and policymakers to gain real-time insights into how the market is evolving.