About: “Over the past 50 years, researchers have made great strides in analyzing public policy. With better data and improved research methods, we know more than ever about the impacts of government spending.
But despite these advances, it remains surprisingly challenging to answer basic questions about which policies have been most effective.
The difficulty arises because methods for evaluating policy effectiveness are not standardized. This makes it challenging, if not impossible, to compare and contrast across different policies.
Policy Impacts seeks to promote a unified approach for policy evaluation. We seek to promote the Marginal Value of Public Funds, a standardized metric for policy evaluation. We have created the Policy Impacts library, a collaborative effort to track the returns to a wide range of government policies…(More).
Report by the Institute of Community Studies: “We are delighted to unveil a landmark research report, Why don’t they ask us?The role of communities in levelling up. The new report reveals that current approaches to regeneration and economic transformation are not working for the majority of local communities and their economies.
Its key findings are that:
Interventions have consistently failed to address the most deprived communities, contributing to a 0% average change in the relative spatial deprivation of the most deprived local authorities areas;
The majority of ‘macro funds’ and economic interventions over the last two decades have not involved communities in a meaningful nor sustainable way;
The focus of interventions to build local economic resilience typically concentrate on a relatively small number of approaches, which risks missing crucial dimensions of local need, opportunity and agency, and reinforcing gaps between the national and the hyper-local;
Interventions have tended to concentrate on ‘between-place’ spatial disparities in economic growth at the expense of ‘within-place’ inequalities that exist inside local authority boundaries, which is where the economic strength or weakness of a place is most keenly felt by communities.
Where funds and interventions have had higher levels of community involvement, these have typically been disconnected from the structures where decisions are taken, undermining their aim of building community power into local economic solutions…(More)”.
Position paper by Robert D. Atkinson: “With the rise of China and other robust economic competitors, the United States needs a more coherent national advanced technology strategy.1 Effectively crafting and implementing such a strategy requires the right kind of economic data. In part because of years of budget cuts to federal economic data agencies, coupled with a long-standing disregard of the need for sectoral and firm-level economic data to inform an industrial strategy, the federal government is severely lacking in the kinds of data needed.
Notwithstanding the hundreds of millions of dollars spent every year and the thousands of economists working for the federal government, the exact nature of the challenges to U.S. capabilities with regard to the competitiveness of America’s traded sectors is only weakly understood. At least since after the Great Depression, the federal government has never felt the need to develop strategic economic intelligence in order to fully understand the competitive position of its traded sectors or to help support overall economic productivity.2 Rather, most of the focus goes to understanding the ups and downs of the business cycle….
If the U.S. government is going to develop more effective policies to spur competitiveness, growth, and opportunity it will need to support better data collection. It should be able to understand the U.S. competitive position vis-à-vis other nations on key technologies and industries, as well as key strengths and weaknesses and where specific policies are needed.
Better data can also identify weaknesses in U.S. competitiveness that policy can address. For example, in the 1980s, studies conducted as part of the Census of Manufactures (studies that have long been discontinued) found many smaller firms lagging behind badly in costs and quality for reasons including inefficient work organization and obsolete machinery and equipment. End-product manufacturers bought parts and components from many of these smaller enterprises at prices higher than those paid by foreign-based firms with more efficient suppliers, contributing to the cost and quality disadvantages of U.S.-based manufacturers. Legislators heeded the findings in crafting what is now called the Manufacturing Extension Partnership, a program that, if too small in scale to have a significant impact on U.S. manufacturing overall, continues to provide meaningful assistance to thousands of companies each year.5
Moreover, as the federal government institutes more technology and industry policies and programs—as exemplified in the Senate U.S. Innovation and Competition Act—better data will be important to evaluate their effectiveness.
Finally, data are a key 21st century infrastructure. In a decentralized economy, good outcomes are possible only if organizations make good decisions—and that requires data, which, because of its public goods nature, is a quintessential role of government….(More)”.
About: “Metroverse is an urban economy navigator built at the Growth Lab at Harvard University. It is based on over a decade of research on how economies grow and diversify and offers a detailed look into the specialization patterns of cities.
As a dynamic resource, the tool is continually evolving with new data and features to help answer questions such as:
What is the economic composition of my city?
How does my city compare to cities around the globe?
Which cities look most like mine?
What are the technological capabilities that underpin my city’s current economy?
Which growth and diversification paths does that suggest for the future?
As city leaders, job seekers, investors and researchers grapple with 21st century urbanization challenges, the answer to these questions are fundamental to understanding the potential of a city.
Metroverse delivers new insights on these questions by placing a city’s technological capabilities and knowhow at the heart of its growth prospects, where the range and nature of existing capabilities strongly influences how future diversification unfolds. Metroverse makes visible what a city is good at today to help understand what it can become tomorrow…(More)”.
They help people drive from point A to point B and update traffic information to shorten travel times. They are the operating system of driverless vehicles. They sift applications to make recommendations about job candidates. They determine the material that is offered up in people’s newsfeeds and video choices.
Corporations and governments are charging evermore expansively into AI development. Increasingly, nonprogrammers can set up off-the-shelf, pre-built AI tools as they prefer.
As this unfolds, a number of experts and advocates around the world have become worried about the long-term impact and implications of AI applications. They have concerns about how advances in AI will affect what it means to be human, to be productive and to exercise free will. Dozens of convenings and study groups have issued papers proposing what the tenets of ethical AI design should be, and governmentworkingteams have tried to address these issues. In light of this, Pew Research Center and Elon University’s Imagining the Internet Center asked experts where they thought efforts aimed at creating ethical artificial intelligence would stand in the year 2030….(More)”
Paper by Daniel P. Gross & Bhaven N. Sampat: “Innovation policy can be a crucial component of governments’ responses to crises. Because speed is a paramount objective, crisis innovation may also require different policy tools than innovation policy in non-crisis times, raising distinct questions and tradeoffs. In this paper, we survey the U.S. policy response to two crises where innovation was crucial to a resolution: World War II and the COVID-19 pandemic. After providing an overview of the main elements of each of these efforts, we discuss how they compare, and to what degree their differences reflect the nature of the central innovation policy problems and the maturity of the U.S. innovation system. We then explore four key tradeoffs for crisis innovation policy—top-down vs. bottom-up priority setting, concentrated vs. distributed funding, patent policy, and managing disruptions to the innovation system—and provide a logic for policy choices. Finally, we describe the longer-run impacts of the World War II effort and use these lessons to speculate on the potential long-run effects of the COVID-19 crisis on innovation policy and the innovation system….(More)”.
Paper by George Ingram: “The world is in the midst of a fast-moving, Fourth Industrial Revolution (also known as 4IR or Industry 4.0), driven by digital innovation in the use of data, information, and technology. This revolution is affecting everything from how we communicate, to where and how we work, to education and health, to politics and governance. COVID-19 has accelerated this transformation as individuals, companies, communities, and governments move to virtual engagement. We are still discovering the advantages and disadvantages of a digital world.
This paper outlines an initiative that would allow the United States, along with a range of public and private partners, to seize the opportunity to reduce the digital divide between nations and people in a way that benefits inclusive economic advancement in low- and middle-income countries, while also advancing the economic and strategic interests of the United States and its partner countries.
As life increasingly revolves around digital technologies and innovation, countries are in a race to digitalize at a speed that threatens to leave behind the less advantaged—countries and underserved groups. Data in this paper documents the scope of the digital divide. With the Sustainable Development Goals (SDGs), the world committed to reduce poverty and advance all aspects of the livelihood of nations and people. Countries that fail to progress along the path to 5G broadband cellular networks will be unable to unlock the benefits of the digital revolution and be left behind. Donors are recognizing this and offering solutions, but in a one-off, disconnected fashion. Absent a comprehensive, partnership approach, that takes advantage of the comparative advantage of each, these well-intended efforts will not aggregate to the scale and speed required by the challenge….(More)”.
The Economist: “Using messenger RNA to make vaccines was an unproven idea. But if it worked, the technique would revolutionise medicine, not least by providing protection against infectious diseases and biological weapons. So in 2013 America’s Defence Advanced Research Projects Agency (DARPA) gambled. It awarded a small, new firm called Moderna $25m to develop the idea. Eight years, and more than 175m doses later, Moderna’s covid-19 vaccine sits on the list of innovations for which DARPA can claim at least partial credit, alongside weather satellites, GPS, drones, stealth technology, voice interfaces, the personal computer and the internet.
It is the agency that shaped the modern world, and this success has spurred imitators. In America there are ARPAs for homeland security, intelligence and energy, as well as the original defence one. President Joe Biden has asked Congress for $6.5bn to set up a health version, which will, the president vows, “end cancer as we know it”. His administration also has plans for another, to tackle climate change. Germany has recently established two such agencies: one civilian (the Federal Agency for Disruptive Innovation, or SPRIN-D) and another military (the Cybersecurity Innovation Agency). Japan’s version is called Moonshot R&D. In Britain, a bill for an Advanced Research and Invention Agency—often referred to as UK ARPA—is making its way through parliament….(More)”.
Policy Report by AISP: “The economic and social impacts of the COVID-19 pandemic have heightened demand for cross-agency data capacity, as policymakers are forced to reconcile the need for expanded services with extreme fiscal constraints. In this context, integrated data systems (IDS) – also commonly referred to as data hubs, data collaboratives, or state longitudinal data systems – are a valuable resource for data-informed decision making across agencies. IDS utilize standard governance processes and legal agreements to grant authority for routine, responsible use of linked data, and institutionalize roles across partners with shared priorities.
Despite these benefits, creating and sustaining IDS remains a challenge for many states. Legislation and executive action can be powerful mechanisms to overcome this challenge and promote the use of cross-agency data for public good. Legislative and/or executive actions on data sharing can: – Require data sharing to address a specific state policy priority – Mandate oversight and planning activities to promote a state data sharing strategy – Grant authority to a particular office or agency to lead cross-agency data sharing
This brief is organized in three parts. First, we offer examples of these three approaches from states that have used legislation and/or executive orders to enable data integration, as well as key considerations related to each. Second, we discuss state and federal funding opportunities that can help in implementing legislative or executive actions on data sharing and enhancing long-term sustainability of data sharing efforts. Third, we offer five foundational strategies to ensure that legislative or executive action is both ethical and effective…(More)”.
Frank Gerhard, Marie-Paule Laurent, Kyriakos Spyrounakos, and Eckart Windhagen at McKinsey: “In light of the limitations of the traditional models, we recommend a modified approach to nowcasting that uses country- and industry-specific expertise to boil down the number of variables to a selected few for each geography or sector, depending on the individual economic setting. Given the specific selection of each core variable, the relationships between the variables will be relatively stable over time, even during a major crisis. Admittedly, the more variables used, the easier it is to explain an economic shift; however, using more variables also means a greater chance of a break in some of the statistical relationships, particularly in response to an exogenous shock.
This revised nowcasting model will be more flexible and robust in periods of economic stress. It will provide economically intuitive outcomes, include the consideration of complementary, high-frequency data, and offer access to economic insights that are at once timely and unique.
For example, consumer spending can be estimated in different US cities by combining data such as wages from business applications and footfall from mobility trend reports. As a more complex example: eurozone capitalization rates are, at the time of the writing of this article, available only through January 2021. However, a revamped nowcasting model can estimate current capitalization rates in various European countries by employing a handful of real-time and high-frequency variables for each, such as retail confidence indicators, stock-exchange indices, price expectations, construction estimates, base-metals prices and output, and even deposits into financial institutions. The choice of variable should, of course, be guided by industry and sector experts.
Similarly, published figures for gross value added (GVA) at the sector level in Europe are available only up to the second quarter of 2020. However, by utilizing selected variables, the new approach to nowcasting can provide an estimate of GVA through the first quarter of 2021. It can also highlight the different experiences of each region and industry sector in the recent recovery. Note that the sectors reliant on in-person interactions and of a nonessential nature have been slow to recover, as have the countries more reliant on international markets (exhibit)….(More)”.
