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Despite the notable success in enrolling children in primary school over the past decade, the education agenda is unfinished as millions of children are still excluded from learning opportunities and millions more leave school without having acquired the essential knowledge and skills needed to participate in society.

On January 27, the Center for Universal Education at Brookings hosted a half-day conference that focused on the research examining “what works in education” to achieve improved learning opportunities and outcomes. In addition to hearing from researchers studying the effectiveness of various education strategies, participants discussed how to facilitate a future research agenda that could have the most meaningful impact on learning. Senior Fellow Jacques van der Gaag moderated the discussion.

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• Improving Education in the Developing World: Evidence from Randomized Evaluations Presentation (.pdf)
• Sociocultural Gradients for Language Scores by Country Slide (.pdf)
• School Resources and Educational Outcomes in Developing Countries Presentation (.pdf)
• Making Learning for All a Reality Presentation (.pdf)
• Addressing the Global Learning Crisis Presentation (.pdf)

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The United States alliance with Saudi Arabia dates back to 1943, making the U.S. relationship with the Kingdom one of America's longest-standing in the Middle East. Saudi Arabia is a key counterterrorism and diplomatic partner within the region, yet the alliance has come under increasing scrutiny in recent years, especially in the period following the 9/11 attacks, when questions about Saudi support for extremist causes emerged. Saudi Arabia’s prosecution of the war in Yemen has added to the criticism, with many observers blaming the Kingdom for the unfolding humanitarian crisis within the Arab world's poorest state. In recent comments, President Barack Obama has been critical of Saudi policies, despite U.S. logistical and intelligence support to Saudi Arabia’s war effort in Yemen.

On April 21, the Intelligence Project and Center for Middle East Policy at Brookings hosted U.S. Senator Chris Murphy of Connecticut to discuss the U.S.-Saudi alliance with Senior Fellows Bruce Riedel and Tamara Cofman Wittes. Senator Murphy has urged a more rigorous approach to cooperation with Riyadh that balances U.S. counterterrorism interests, strategic imperatives, and human rights concerns, and has led efforts on Capitol Hill to debate the war in Yemen. Cofman Wittes, director of the Center for Middle East Policy, provided introductory remarks and moderated the discussion. 

 Join the conversation on Twitter at #USSaudi.

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• Reassessing the U.S.-Saudi partnership

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• Reassessing the U.S.-Saudi partnership

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Nearly 30 years ago, the economists Robert Solow and Stephen Roach caused a stir when they pointed out that, for all the billions of dollars being invested in information technology, there was no evidence of a payoff in productivity. Businesses were buying tens of millions of computers every year, and Microsoft had just gone public, netting Bill Gates his first billion. And yet, in what came to be known as the productivity paradox, national statistics showed that not only was productivity growth not accelerating; it was actually slowing down. “You can see the computer age everywhere,” quipped Solow, “but in the productivity statistics.”

Today, we seem to be at a similar historical moment with a new innovation: the much-hyped Internet of Things – the linking of machines and objects to digital networks. Sensors, tags, and other connected gadgets mean that the physical world can now be digitized, monitored, measured, and optimized. As with computers before, the possibilities seem endless, the predictions have been extravagant – and the data have yet to show a surge in productivity.

A year ago, research firm Gartner put the Internet of Things at the peak of its Hype Cycle of emerging technologies.

As more doubts about the Internet of Things productivity revolution are voiced, it is useful to recall what happened when Solow and Roach identified the original computer productivity paradox. For starters, it is important to note that business leaders largely ignored the productivity paradox, insisting that they were seeing improvements in the quality and speed of operations and decision-making. Investment in information and communications technology continued to grow, even in the absence of macroeconomic proof of its returns.

That turned out to be the right response. By the late 1990s, the economists Erik Brynjolfsson and Lorin Hitt had disproved the productivity paradox, uncovering problems in the way service-sector productivity was measured and, more important, noting that there was generally a long lag between technology investments and productivity gains.

Our own research at the time found a large jump in productivity in the late 1990s, driven largely by efficiencies made possible by earlier investments in information technology. These gains were visible in several sectors, including retail, wholesale trade, financial services, and the computer industry itself. The greatest productivity improvements were not the result of information technology on its own, but by its combination with process changes and organizational and managerial innovations.

Our latest research, The Internet of Things: Mapping the Value Beyond the Hype, indicates that a similar cycle could repeat itself. We predict that as the Internet of Things transforms factories, homes, and cities, it will yield greater economic value than even the hype suggests. By 2025, according to our estimates, the economic impact will reach $3.9-$11.1 trillion per year, equivalent to roughly 11% of world GDP. In the meantime, however, we are likely to see another productivity paradox; the gains from changes in the way businesses operate will take time to be detected at the macroeconomic level.

One major factor likely to delay the productivity payoff will be the need to achieve interoperability. Sensors on cars can deliver immediate gains by monitoring the engine, cutting maintenance costs, and extending the life of the vehicle. But even greater gains can be made by connecting the sensors to traffic monitoring systems, thereby cutting travel time for thousands of motorists, saving energy, and reducing pollution. However, this will first require auto manufacturers, transit operators, and engineers to collaborate on traffic-management technologies and protocols.

Indeed, we estimate that 40% of the potential economic value of the Internet of Things will depend on interoperability. Yet some of the basic building blocks for interoperability are still missing. Two-thirds of the things that could be connected do not use standard Internet Protocol networks.

Other barriers standing in the way of capturing the full potential of the Internet of Things include the need for privacy and security protections and long investment cycles in areas such as infrastructure, where it could take many years to retrofit legacy assets. The cybersecurity challenges are particularly vexing, as the Internet of Things increases the opportunities for attack and amplifies the consequences of any breach.

But, as in the 1980s, the biggest hurdles for achieving the full potential of the new technology will be organizational. Some of the productivity gains from the Internet of Things will result from the use of data to guide changes in processes and develop new business models. Today, little of the data being collected by the Internet of Things is being used, and it is being applied only in basic ways – detecting anomalies in the performance of machines, for example.

It could be a while before such data are routinely used to optimize processes, make predictions, or inform decision-making – the uses that lead to efficiencies and innovations. But it will happen. And, just as with the adoption of information technology, the first companies to master the Internet of Things are likely to lock in significant advantages, putting them far ahead of competitors by the time the significance of the change is obvious to everyone.

Editor's Note: This opinion originally appeared on Project Syndicate August 6, 2015.

The past few months have seen a flurry of reports on discouraging trends in life expectancy among some of the nation’s struggling populations. Different researchers have emphasized different groups and have tracked longevity trends over different time spans, but all have documented conspicuous differences between trends among more advantaged Americans compared with those in worse circumstances.

In a study published in April, Stanford economist Raj Chetty and his coauthors documented a striking rise in mortality rate differences between rich and poor. From 2001 to 2014, Americans who had incomes in the top 5 percent of the income distribution saw their life expectancy climb about 3 years. During the same 14-year span, people in the bottom 5 percent of the income distribution saw virtually no improvement at all.

Using different sources of information about family income and mortality, my colleagues and I found similar trends in mortality when Americans were ranked by their Social-Security-covered earnings in the middle of their careers. Over the three decades covered by our data, we found sizeable differences between the life expectancy gains enjoyed by high- and low-income Americans. For 50-year old women in the top one-tenth of the income distribution, we found that women born in 1940 could expect to live almost 6.5 years longer than women in the same position in the income distribution who were born in 1920. For 50-year old women in the bottom one-tenth of the income distribution, we found no improvement at all in life expectancy. Longevity trends among low-income men were more encouraging: Men at the bottom saw a small improvement in their life expectancy. Still, the life-expectancy gap between low-income and high-income men increased just as fast as it did between low- and high-income women.

One reason these studies should interest voters and policymakers is that they shed light on the fairness of programs that protect Americans’ living standards in old age. The new studies as well as some earlier ones show that mortality trends have tilted the returns that rich and poor contributors to Social Security can expect to obtain from their payroll tax contributions.

If life expectancy were the same for rich and poor contributors, the lifetime benefits workers could expect to receive from their contributions would depend solely on the formula that determines a worker’s monthly pensions. Social Security’s monthly benefit formula has always been heavily tilted in favor of low-wage contributors. They receive monthly checks that are a high percentage of the monthly wages they earn during their careers. In contrast, workers who earn well above-average wages collect monthly pensions that are a much lower percentage of their average career earnings.

The latest research findings suggest that growing mortality differences between rich and poor are partly or fully offsetting the redistributive tilt in Social Security’s benefit formula. Even though poorer workers still receive monthly pension checks that are a high percentage of their average career earnings, they can expect to receive benefits for a shorter period after they claim pensions compared with workers who earn higher wages. Because the gap between the life spans of rich and poor workers is increasing, affluent workers now enjoy a bigger advantage in the number of months they collect Social Security retirement benefits. This fact alone is enough to justify headlines about the growing life expectancy gap between rich and poor

There is another reason to pay attention to the longevity trends. The past 35 years have provided ample evidence the income gap between America’s rich and poor has widened. To be sure, some of the most widely cited income series overstate the extent of widening and understate the improvement in income received by middle- and low-income families. Nonetheless, the most reliable statistics show that families at the top have enjoyed faster income gains than the gains enjoyed by families in the middle and at the bottom. Income disparities have gone up fastest among working-age people who depend on wages to pay their families’ bills. Retirees have been better protected against the income and wealth losses that have hurt the living standards of less educated workers. The recent finding that life expectancy among low-income Americans has failed to improve is a compelling reason to believe the trend toward wider inequality is having profound impacts on the distribution of well-being in addition to its direct effect on family income.

Over the past century, we have become accustomed to seeing successive generations live longer than the generations that preceded them. This is not true every year, of course, nor is it always clear why the improvements in life expectancy have occurred. Still, it is reasonable to think that long-run improvements in average life spans have been linked to improvements in our income. With more money, we can afford more costly medical care, healthier diets, and better public health. Even Americans at the bottom of the income ladder have participated in these gains, as public health measures and broader access to health insurance permit them to benefit from improvements in knowledge. For the past three decades, however, improvements in average life spans at the bottom of the income distribution have been negligible. This finding suggests it is not just income that has grown starkly more unequal.

Editor's note: This piece originally appeared in Real Clear Markets.

Nearly 30 years ago, the economists Robert Solow and Stephen Roach caused a stir when they pointed out that, for all the billions of dollars being invested in information technology, there was no evidence of a payoff in productivity. Businesses were buying tens of millions of computers every year, and Microsoft had just gone public, netting Bill Gates his first billion. And yet, in what came to be known as the productivity paradox, national statistics showed that not only was productivity growth not accelerating; it was actually slowing down. “You can see the computer age everywhere,” quipped Solow, “but in the productivity statistics.”

Today, we seem to be at a similar historical moment with a new innovation: the much-hyped Internet of Things – the linking of machines and objects to digital networks. Sensors, tags, and other connected gadgets mean that the physical world can now be digitized, monitored, measured, and optimized. As with computers before, the possibilities seem endless, the predictions have been extravagant – and the data have yet to show a surge in productivity.

A year ago, research firm Gartner put the Internet of Things at the peak of its Hype Cycle of emerging technologies.

As more doubts about the Internet of Things productivity revolution are voiced, it is useful to recall what happened when Solow and Roach identified the original computer productivity paradox. For starters, it is important to note that business leaders largely ignored the productivity paradox, insisting that they were seeing improvements in the quality and speed of operations and decision-making. Investment in information and communications technology continued to grow, even in the absence of macroeconomic proof of its returns.

That turned out to be the right response. By the late 1990s, the economists Erik Brynjolfsson and Lorin Hitt had disproved the productivity paradox, uncovering problems in the way service-sector productivity was measured and, more important, noting that there was generally a long lag between technology investments and productivity gains.

Our own research at the time found a large jump in productivity in the late 1990s, driven largely by efficiencies made possible by earlier investments in information technology. These gains were visible in several sectors, including retail, wholesale trade, financial services, and the computer industry itself. The greatest productivity improvements were not the result of information technology on its own, but by its combination with process changes and organizational and managerial innovations.

Our latest research, The Internet of Things: Mapping the Value Beyond the Hype, indicates that a similar cycle could repeat itself. We predict that as the Internet of Things transforms factories, homes, and cities, it will yield greater economic value than even the hype suggests. By 2025, according to our estimates, the economic impact will reach $3.9-$11.1 trillion per year, equivalent to roughly 11% of world GDP. In the meantime, however, we are likely to see another productivity paradox; the gains from changes in the way businesses operate will take time to be detected at the macroeconomic level.

One major factor likely to delay the productivity payoff will be the need to achieve interoperability. Sensors on cars can deliver immediate gains by monitoring the engine, cutting maintenance costs, and extending the life of the vehicle. But even greater gains can be made by connecting the sensors to traffic monitoring systems, thereby cutting travel time for thousands of motorists, saving energy, and reducing pollution. However, this will first require auto manufacturers, transit operators, and engineers to collaborate on traffic-management technologies and protocols.

Indeed, we estimate that 40% of the potential economic value of the Internet of Things will depend on interoperability. Yet some of the basic building blocks for interoperability are still missing. Two-thirds of the things that could be connected do not use standard Internet Protocol networks.

Other barriers standing in the way of capturing the full potential of the Internet of Things include the need for privacy and security protections and long investment cycles in areas such as infrastructure, where it could take many years to retrofit legacy assets. The cybersecurity challenges are particularly vexing, as the Internet of Things increases the opportunities for attack and amplifies the consequences of any breach.

But, as in the 1980s, the biggest hurdles for achieving the full potential of the new technology will be organizational. Some of the productivity gains from the Internet of Things will result from the use of data to guide changes in processes and develop new business models. Today, little of the data being collected by the Internet of Things is being used, and it is being applied only in basic ways – detecting anomalies in the performance of machines, for example.

It could be a while before such data are routinely used to optimize processes, make predictions, or inform decision-making – the uses that lead to efficiencies and innovations. But it will happen. And, just as with the adoption of information technology, the first companies to master the Internet of Things are likely to lock in significant advantages, putting them far ahead of competitors by the time the significance of the change is obvious to everyone.

Editor's Note: This opinion originally appeared on Project Syndicate August 6, 2015.

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The White House Council of Economic Advisers (CEA) was created by Congress in 1946 to advise the president on ways “to foster and promote free competitive enterprise” and “to promote maximum employment, production and purchasing power.” President Truman, who signed the Employment Act of 1946 into law, was unenthusiastic about the Council and didn’t nominate members for nearly six months. Yet the CEA, comprised of three individuals whom Congress says are to be “exceptionally qualified,” has not only survived but also prospered for 70 years and remains an important part of the president’s economic policy decisionmaking.

On February 11, the Hutchins Center on Fiscal and Monetary Policy at Brookings marked this anniversary by examining the ways the CEA and other economists succeed and fail when they set out to advise elected politicians and tap the expertise of some of the “exceptionally qualified” economists who have chaired the Council over the past four decades.

You can join the conversation and tweet questions for the panelists at #CEAat70.

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• Panel 1: The CEA in Moments of Crisis
• Panel 2: The CEA and Policymaking
• Panel 3: Current Economic Policy Issues

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• The Council of Economic Advisers: 70 years of advising the president

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• Uncorrected Transcript (.pdf)

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Last month, Russian President Vladimir Putin made his fourth visit to China since President Xi Jinping became top party leader in 2012. During this latest meeting, the two countries inked more than 30 deals, including an oil supply contract, and issued numerous joint statements, one of which criticized the United States for its plans to deploy missile defense systems on the Korean Peninsula and in the Balkans. Chinese state media speculate that this year’s China-Russia joint naval exercises, held annually since 2005, will likely be led by the South China Sea Fleet, reinforcing a general perception in China and elsewhere that U.S. policies are pushing Chinese leaders to consolidate ties with Russia.

On July 26, the John L. Thornton China Center at Brookings hosted a discussion on the U.S.-China-Russia trilateral relationship, the shape and scope of which carries far-reaching consequences for international order and global economic growth. Brookings President Strobe Talbott, who served as deputy secretary of state and ambassador-at-large on the new independent states following the Soviet breakup, provided an introduction. A panel of experts—J. Stapleton Roy, Fiona Hill, Yun Sun, and Cheng Li—discussed the current and historical dynamics at play, including expectations and recommendations for the future.

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• Is the United States losing China to Russia?

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• Is the United States losing China to Russia?

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• Uncorrected Transcript (.pdf)

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• 20160726_china_russia_us_transcript

With only a few months remaining before the 2004 elections, national party committees continue to demonstrate financial strength and noteworthy success in adapting to the more stringent fundraising rules imposed by the Bipartisan Campaign Reform Act (BCRA). A number of factors, including the deep partisan divide in the electorate, the expectations of a close presidential race, and the growing competition in key Senate and House races, have combined with recent party investments in new technology and the emergence of the Internet as a major fundraising tool to produce what one party chairman has described as a "perfect storm" for party fundraising.¹ Consequently, both national parties have exceeded the mid-year fundraising totals achieved in 2000, and both approach the general election with substantial amounts of money in the bank.

After eighteen months of experience under the new rules, the national parties are still outpacing their fundraising efforts of four years ago. As of June 30, the national parties have raised $611.1 million in federally regulated hard money alone, as compared to $535.6 million in hard and soft money combined at a similar point in the 2000 election cycle. The Republicans lead the way, taking in more than $381 million as compared to about $309 million in hard and soft money by the end of June in 2000. The Democrats have also raised more, bringing in $230 million as compared to about $227 million in hard and soft money four years ago. Furthermore, with six months remaining in the election cycle, both national parties have already raised more hard money than they did in the 2000 election cycle.² In fact, by the end of June, every one of the Democratic and Republican national party committees had already exceeded its hard money total for the entire 2000 campaign.³

This surge in hard money fundraising has allowed the national party committees to replace a substantial portion of the revenues they previously received through unlimited soft money contributions. Through June, these committees have already taken in enough additional hard money to compensate for the $254 million of soft money that they had garnered by this point in 2000, which represented a little more than half of their $495 million in total soft money receipts in the 2000 election cycle.

View the accompanying data tables (PDF - 11.4 KB)

¹Terrence McAuliffe, Democratic National Committee Chairman, quoted in Paul Fahri, "Small Donors Grow Into Big Political Force," Washington Post, May 3, 2004, p. A11.
²In 2000, the Republican national party committees raised $361.6 million in hard money, while the Democratic national committees raised $212.9 million. These figures are based on unadjusted data and do not take into account any transfers of funds that may have taken place among the national party committees.
³The election cycle totals for 2000 can be found in Federal Election Commission, "FEC Reports Increase in Party Fundraising for 2000," press release, May 15, 2001. Available at http://www.fec.gov/press/press2001/051501partyfund/051501partyfund.html (viewed July 28, 2004).

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Analysis of dozens of publicly created redistricting plans shows that map-making technology can improve political representation and detect a gerrymander.  In 2012, President Obama won the vote in Ohio by three percentage points, while Republicans held a 13-to-5 majority in Ohio’s delegation to the U.S. House. After redistricting in 2013, Republicans held 12 of Ohio’s House seats while Democrats held four. As is typical in these races, few were competitive; the average margin of victory was 32 points. Is this simply a result of demography, the need to create a majority-minority district, and the constraints traditional redistricting principles impose on election lines—or did the legislature intend to create a gerrymander?

Crowd-Sourced Redistricting Maps

In the Ohio elections, we have a new source of information that opens a window into the legislature’s choice: Large numbers of publicly created redistricting plans.

During the last round of redistricting, across the country thousands of people in over a dozen states created hundreds of legal redistricting plans. Advances in information technology and the engagement of grassroots reform groups made these changes possible. To promote these efforts we created the DistrictBuilder open redistricting platform and many of these groups used this tool to create their plans.

Over the last several years, we have used the trove of information produced by public redistricting to gain insight into the politics of representation. In previous work that analyzed public redistricting in Virginia^[1], and in Florida^[2], we discovered that members of the public are capable of creating legal redistricting plans that outperform those maps created by legislatures in a number of ways.

Public redistricting in Ohio shows something new—the likely motives of the legislature. This can be seen through using information visualization methods to show the ways in which redistricting goals can be balanced (or traded-off) in Ohio , revealing the particular trade-offs made by the legislature.

The figure below, from our new research paper^[3], shows 21 plots—each of which compares legislative and publicly-created plans using a pair of scores—altogether covering seven different traditional and representational criteria. A tiny ‘A’ shows the adopted plan. The top-right corner of each mini-plot shows the best theoretically possible score. When examined by itself, the legislative plan meets a few criteria: it minimizes population deviation, creates an expected majority-minority seat, and creates a substantial majority of districts that would theoretically be competitive in an open-seat race in which the statewide vote was evenly split.

Figure 1: Pairwise Congressional Score Comparisons (Scatterplots) - Standardized Scores

In previous rounds of redistricting, empirical analysis would stop here—unless experts were called in to draw alternative plans in litigation. However, the large number of public plans now available allows us to see other options, plans the legislature could readily have created had it desired to do so. Comparison of the adopted plans and public plans reveal the weakness of the legislature’s choice. Members of the public were able to find plans that soundly beat the legislative plan on almost every pair of criteria, including competitive districts.

So why was the adopted plan chosen? Information visualization can help here, as well, but we need to add another criterion—partisan advantage:

Pareto Frontier: Standard Criteria vs. Democratic Surplus

When we visualize the number of expected Democratic seats that was likely to result from each plan, and compare this to the other score, we can see that the adopted plan is the best at something— producing Republican seats.

Was Ohio gerrymandered? Applying our proposed gerrymandering detection method, the adopted plans stands in high contrast to the public sample of plans, even if the overall competition scoring formula is slightly biased towards the Democrats, as strongly biased towards the Republicans on any measure of partisan fairness. Moreover analyzing the tradeoffs among redistricting criteria illuminate empirically demonstrates what is often suspected, but is typically impossible to demonstrate—that had the legislature desired to improve any good-government criterion—it could have done so, simply by sacrificing some partisan advantage. In light of this new body of evidence, the political intent of the legislature is clearly displayed.

However, when politics and technology mix, beware of Kranzberg’s first law: “Technology is neither good nor bad; nor is it neutral.”^[4] Indeed there is an unexpected and hopeful lesson on reform revealed by the public participation that was enabled by new technology. The public plans show that, in Ohio, it is possible to improve the expected competitiveness, and to improve compliance with traditional districting principles such as county integrity, without threatening majority-minority districts simply by reducing partisan advantage—this is a tradeoff we should gladly accept.

As President Obama prepares to give the final State of the Union address of his presidency tonight, he’s promised to stay away from the technocrat’s laundry list of to-do’s. Instead, he’s expected to deliver a speech that will remind his fellow citizens of their ability to “come together as one American family.” It’s going to be a tough sell, especially when the citizens are terrified of outsiders and suspicious of one another.

Most of the fear and paranoia revolves around the Islamic State group. Although the group poses far less of a threat to the United States than to our allies and friends in Europe and the Middle East, it is the sum of all fears in the minds of many Americans—an immigrant, terrorist, cyber, WMD, genocidal threat rolled into one. Its name alone can be invoked to indict Obama’s national security and immigration policies—substantive criticisms are unnecessary.

[T]he Islamic State group...is the sum of all fears in the minds of many Americans.

Most of those fears are overblown, but the president will want to tackle them each of them in his speech if he intends to calm fears and bring people together. He’ll explain why taking in refugees is not just living up to American values but also smart counterterrorism. He’ll showcase evidence that the military campaign against the Islamic State in the Middle East is bearing fruit. He’ll reassure Americans that the Islamic State can’t plant a skilled operative into this country and remind them that the best way to stop the unskilled lone wolf shooters inspired by the Islamic State is to close gun loop holes and monitor their behavior online before they act. He’ll demonstrate his commitment to blunting Islamic State recruitment, touting changes to how the government counters the Islamic State’s appeal online and in America’s big cities.

All of that is well and good, but it’s a bureaucrat’s (or think tanker’s) effort at reassuring the public. To truly succeed in mitigating America’s fears and bringing citizens together, our country’s leader has to acknowledge that their fears are real and explain what our enemies hope to gain by engendering them. While Americans’ fears may be overblown, they won’t be deflated by technocratic hot air.

So we’ve almost reached the end of the year 2015, which could go down in the history of global sustainable development efforts as one of the more significant years, with the trifecta of the approval of the Sustainable Development Goals (SDGs), the agreement on the Addis Agenda on Financing for Development (FfD) and the (shortly to be completed) Paris COP21 Climate Summit. Yet, all will depend on how the agreements with their ambitious targets are implemented on the ground.

Effective implementation will require a theory of change—a way to think about how we are to get from “here” in 2015 to “there” in 2030. The key problem is what has very appropriately been called by some “the missing middle,” i.e., the gap between the top-down global targets on the one hand and the bottom-up development initiatives, projects, and programs that are supported by governments, aid agencies, foundations, and social entrepreneurs.

One way to begin to close this gap is to aim for scaled-up global efforts in specific areas, as is pledged in the Addis Agenda, including efforts to fight global hunger and malnutrition, international tax cooperation and international cooperation to strengthen capacities of municipalities and other local authorities, investments and international coopera­tion to allow all children to complete free, equitable, inclusive and quality early childhood, primary and secondary education, and concessional and non-concessional financing.

Another way is to develop country-specific national targets and plans consistent with the SDG, Addis, and COP21 targets, as is currently being done with the assistance of the United Nations Development Program’s MAPS program. This can provide broad guidance on policy priorities and resource mobilization strategies to be pursued at the national level and can help national and international actors to prioritize their interventions in areas where a country’s needs are greatest.

However, calling for expanded global efforts in particular priority areas and defining national targets and plans is not enough. Individual development actors have to link their specific projects and programs with the national SDG, Addis, and COP21 targets. They systematically have to pursue a scaling-up strategy in their areas of engagement, i.e., to develop and pursue pathways from individual time-bound interventions to impact at a scale in a way that will help achieve the global and national targets. A recent paper I co-authored with Larry Cooley summarizes two complementary approaches of how one might design and implement such scaling-up pathways. The main point, however, is that only the pursuit of such scaling-up pathways constitutes a meaningful theory of change that offers hope for effective implementation of the new global sustainable development targets.

Fortunately, over the last decade, development analysts and agencies have increasingly focused on the question of how to scale up impact of successful development interventions. Leading the charge, the World Bank in 2004, under its president Jim Wolfensohn, organized a high-level international conference in Shanghai in cooperation with the Chinese authorities on the topic of scaling up development impact and published the associated analytical work. However, with changes in the leadership at the World Bank, the initiative passed to others in the mid-2000s, including the Brookings Institution, ExpandNet (a group of academics working with the World Health Organization), Management Systems International (MSI), and Stanford University. They developed analytical frameworks for systematically assessing scalability of development initiatives and innovations, analyzed the experience with more or less successful scaling-up initiatives, including in fragile and conflict-affected states, and established networks that bring together development experts and practitioners to share knowledge.

By now, many international development agencies (including GIZ, JICA, USAID, African Development Bank, IFAD and UNDP), foundations (including the Bill & Melinda Gates Foundation and Rockefeller Foundation) and leading development NGOs (including Heifer International, Save the Children and the World Resources Institute), among others, have focused on how best to scale up development impact, while the OECD recently introduced a prize for the most successful scaling-up development initiatives. The International Fund for Agricultural Development (IFAD) is perhaps the most advanced among the agencies, having developed a systematic operational approach to the innovation-learning-scaling-up cycle. In a collaborative effort with the Brookings Institution, IFAD reviewed its operational practices and experience and then prepared operational design and evaluation guidelines, which can serve as a good example for other development agencies. The World Bank, while yet to develop a systematic institution-wide approach to the scaling-up agenda, is exploring in specific areas how best to pursue scaled-up impact, such as in the areas of mother and child health, social enterprise innovation, and the “science of delivery.”

Now that the international community has agreed on the SDGs and the Addis Agenda, and is closing in on an agreement in Paris on how to respond to climate change, it is the right time to bridge the “missing middle” by linking the sustainable development and climate targets with effective scaling-up methodologies and practices among the development actors. In practical terms, this requires the following steps:

• Developing shared definitions, analytical frameworks, and operational approaches to scaling up among development experts;
• Developing sectoral and sub-sectoral strategies at country level that link short- and medium-term programs and interventions through scaling-up pathways with the longer-term SDG and climate targets;
• Introducing effective operational policies and practices in the development agencies in country strategies, project design, and monitoring and evaluation;
• Developing multi-stakeholder partnerships around key development interventions with the shared goal of pursuing well-identified scaling-up pathways focused on the achievement of the SDGs and climate targets;
• Developing incentive schemes based on the growing experience with “challenge funds” that focus not only on innovation, but also on scaling up, such as the recently established Global Innovation Fund; and
• Further building up expert and institutional networks to share experience and approaches, such as the Community of Practice on Scaling Up, recently set up by MSI and the Results for Development Institute.

Led by presidential candidate Bernie Sanders, one-time supporters of ‘single-payer’ health reform are rekindling their romance with a health reform idea that was, is, and will remain a dream.  Single-payer health reform is a dream because, as the old joke goes, ‘you can’t get there from here.

Let’s be clear: opposing a proposal only because one believes it cannot be passed is usually a dodge.One should judge the merits. Strong leaders prove their skill by persuading people to embrace their visions. But single-payer is different. It is radical in a way that no legislation has ever been in the United States.

Not so, you may be thinking. Remember such transformative laws as the Social Security Act, Medicare, the Homestead Act, and the Interstate Highway Act. And, yes, remember the Affordable Care Act. Those and many other inspired legislative acts seemed revolutionary enough at the time. But none really was. None overturned entrenched and valued contractual and legislative arrangements. None reshuffled trillions—or in less inflated days, billions—of dollars devoted to the same general purpose as the new legislation. All either extended services previously available to only a few, or created wholly new arrangements.

To understand the difference between those past achievements and the idea of replacing current health insurance arrangements with a single-payer system, compare the Affordable Care Act with Sanders’ single-payer proposal.

Criticized by some for alleged radicalism, the ACA is actually stunningly incremental. Most of the ACA’s expanded coverage comes through extension of Medicaid, an existing public program that serves more than 60 million people. The rest comes through purchase of private insurance in “exchanges,” which embody the conservative ideal of a market that promotes competition among private venders, or through regulations that extended the ability of adult offspring to remain covered under parental plans. The ACA minimally altered insurance coverage for the 170 million people covered through employment-based health insurance. The ACA added a few small benefits to Medicare but left it otherwise untouched. It left unaltered the tax breaks that support group insurance coverage for most working age Americans and their families. It also left alone the military health programs serving 14 million people. Private nonprofit and for-profit hospitals, other vendors, and privately employed professionals continue to deliver most care.

In contrast, Senator Sanders’ plan, like the earlier proposal sponsored by Representative John Conyers (D-Michigan) which Sanders co-sponsored, would scrap all of those arrangements. Instead, people would simply go to the medical care provider of their choice and bills would be paid from a national trust fund. That sounds simple and attractive, but it raises vexatious questions.

• How much would it cost the federal government? Where would the money to cover the costs come from?
• What would happen to the $700 billion that employers now spend on health insurance?
• How would the $600 billion a year reductions in total health spending that Sanders says his plan would generate come from?
• What would happen to special facilities for veterans and families of members of the armed services?

Sanders has answers for some of these questions, but not for others. Both the answers and non-answers show why single payer is unlike past major social legislation.

The answer to the question of how much single payer would cost the federal government is simple: $4.1 trillion a year, or $1.4 trillion more than the federal government now spends on programs that the Sanders plan would replace. The money would come from new taxes. Half the added revenue would come from doubling the payroll tax that employers now pay for Social Security. This tax approximates what employers now collectively spend on health insurance for their employees...if they provide health insurance. But many don’t. Some employers would face large tax increases. Others would reap windfall gains.

The cost question is particularly knotty, as Sanders assumes a 20 percent cut in spending averaged over ten years, even as roughly 30 million currently uninsured people would gain coverage. Those savings, even if actually realized, would start slowly, which means cuts of 30 percent or more by Year 10. Where would they come from? Savings from reduced red-tape associated with individual insurance would cover a small fraction of this target. The major source would have to be fewer services or reduced prices. Who would determine which of the services physicians regard as desirable -- and patients have come to expect -- are no longer ‘needed’? How would those be achieved without massive bankruptcies among hospitals, as columnist Ezra Klein has suggested, and would follow such spending cuts? What would be the reaction to the prospect of drastic cuts in salaries of health care personnel – would we have a shortage of doctors and nurses? Would patients tolerate a reduction in services? If people thought that services under the Sanders plan were inadequate, would they be allowed to ‘top up’ with private insurance? If so, what happens to simplicity? If not, why not?

Let me be clear: we know that high quality health care can be delivered at much lower cost than is the U.S. norm. We know because other countries do it. In fact, some of them have plans not unlike the one Senator Sanders is proposing. We know that single-payer mechanisms work in some countries. But those systems evolved over decades, based on gradual and incremental change from what existed before. That is the way that public policy is made in democracies. Radical change may occur after a catastrophic economic collapse or a major war. But in normal times, democracies do not tolerate radical discontinuity. If you doubt me, consider the tumult precipitated by the really quite conservative Affordable Care Act.

Editor's note: This piece originally appeared in Newsweek.