See also: Australian Goldfish Called George Undergoes Surgery To Save His Life

The Venezuelan opposition Movement for Democratic Unity (or MUD by its Spanish acronym) won a major victory over pro-government parties in the December 6 legislative elections. Updated official results show 107 seats for the MUD, 55 for the governing party, 3 representing indigenous communities, with 2 still undecided.

This is remarkable considering the extent to which the government manipulated electoral rules and conditions ahead of the elections. There were a number of reported problems on election day, the most serious of which was to keep polling stations open for up to two additional hours so government supporters could scour voter rolls to find eligible voters who had not yet cast ballots and take them to polling stations. The result was a record 74 percent turnout for legislative elections, with 58 percent voting for the opposition and 42 percent for the government—the mirror image of electoral results in almost all elections since former President Hugo Chávez first took office in 1999. 

In the end, electoral dirty tricks were not enough to prevent an opposition landslide, and President Nicolás Maduro was forced to concede defeat shortly after midnight on December 7. Although the final number of opposition-held seats in the legislature is not yet certain, there are three main questions that should focus our attention over the coming weeks and months:

Venezuela’s legislative election rules are designed to over-represent the majority party and rural areas. This traditionally favored Chavista parties, but in this election, they have given the opposition a boost in the number of seats they won relative to the popular vote. The opposition has already achieved a three-fifths majority, which enables them to pass laws, approve government-proposed budgets, censure and remove government ministers and the executive vice president, and name new appointees to lead the national electoral authority and new magistrates to the Supreme Tribunal. The MUD has already promised to pass an amnesty law for political prisoners aimed at liberating a number of opposition political leaders imprisoned by the Maduro administration. It has also pledged to move legislation designed to promote economic recovery.

The opposition appears to be within striking distance of securing a two-thirds majority (112 seats), which would allow them a much wider array of powers: to remove the existing electoral authorities (with the support of the Supreme Tribunal), submit legislation to approval by popular referendum, and the equivalent of the “nuclear option” for Venezuelan legislators: convene a Constituent Assembly to write a new constitution. But with a few remaining seats in play, it appears that the MUD has more work to do to clear this hurdle and then to maintain discipline among legislators to keep a razor-thin two-thirds majority.

Either way, there is a dangerous gap between the euphoric expectations created by the elections and the actual power of the National Assembly. Not only are legislatures in Latin America typically weak, but the legislative branch has not operated independently thus far during the Chavista period. So many of its potential powers have not been exercised in practice. 

Before the vote, there was a general consensus among analysts that President Maduro would try to limit the power of the legislature in the event of an electoral loss. The tactic has many precedents, with the governments of Presidents Chávez and Maduro previously gutting the power and budgets of opposition-controlled elected offices at state and local levels.

One possibility is that the outgoing Chavista-dominated National Assembly that leaves office in January 2016 will simply pass an enabling law (Ley Habilitante) that would allow President Maduro to rule by decree for the rest of his term. There are plenty of precedents for this in Venezuela, although an enabling law that lasted for the remainder of the presidential term would be exceptional. But others have suggested that given the overwhelming opposition victory, such an approach may run too blatantly contrary to public opinion and consolidate popular sentiment against the government.

Instead, the government may simply use the Supreme Tribunal to invalidate opposition-initiated legislation. Of the 32 magistrates appointed to the highest court in Venezuela, 13 judges are retiring. Together with 5 empty seats, that will allow the outgoing legislative assembly to approve 18 new judges. These will join 12 magistrates appointed by the Chavista-controlled legislature in December 2014. With the government appointing so many members of the Supreme Tribunal, it will likely be easy for the Maduro administration to block inconvenient legislative proposals. The question for the opposition then becomes whether it can figure out how to use control of the legislature to affect the composition of the court and dilute the power of pro-government magistrates, something that would undoubtedly set off a struggle among the various branches of government.

It seems unlikely that the Chavista movement will simply accept divided government, something unknown to Venezuela since 1999. There are simply too many in the Chavista movement who cannot afford an “accountability moment” due to alleged participation in official corruption; waste, fraud, and abuse; or drug trafficking. Others will be ideologically opposed to allowing so much power to flow to an opposition-dominated national assembly.

The Chavista movement spans from the military to the governing party to armed pro-government militias and gangs (colectivos). Former President Chávez was adept at keeping the movement together. President Maduro is not nearly as skilled, and with this stunning electoral loss, his leadership within the movement (already damaged by poor economic results) is likely to come under further pressure. 

In a normal country, one might imagine some incentives for both sides to negotiate—the legislature and executive could work together to avert the coming economic catastrophe, for one. And the weakening of President Maduro’s leadership may lead to more open disagreement within Chavismo about the way ahead, allowing the possibility that moderates on both sides will find room to work together. But as journalist and long-time Venezuela observer Francisco Toro has argued, Chavismo is a machine for not negotiating; the selection process for top leadership has been designed to winnow out anyone who would consider sitting down to talk with the opposition. And in such a polarized situation, moderates always run the risk of being targeted by radicals from their own side if they negotiate with opponents.

Get the house in order

All Venezuelans should feel proud (and relieved) that these highly significant elections have been carried out peacefully. But a lot of work remains to be done. 

First, the outside study missions and electoral accompaniment missions need to remain focused on the tabulation process to ensure that the few undecided legislative seats are allocated according to electoral rules and the votes cast rather than government fiat. 

Second, Venezuela is entering a period of divided government, one that will potentially be riven by conflict among the branches of government. The outside actors that have thus far played a positive role—such as regional multilateral institutions, civil society, legislators across the hemisphere, and governments interested in supporting democracy—will need to continue to pay attention to and support favorable outcomes in Venezuela even when the country is out of the international headlines. 

And third, Venezuela’s economy is in very serious trouble now that oil has fallen as low as $35 a barrel. Further economic contraction, poverty rates not seen since before Hugo Chávez took office, and inflation in excess of 200 percent are all expected in 2016. If the government (both Chavistas and opponents) come to their senses and agree to a negotiated plan on how to address the economy, they will need the support of both traditional multilateral financial institutions and non-traditional sources of financing (such as China). 

As the opposition celebrates this major electoral win, it will undoubtedly dwell on the political implications of its victory over Chavismo. But it should not lose sight of the mandate it has now been given to make needed policy changes as well.

Update: As of December 9, 2015, media are reporting that the opposition party has won at least 112 seats, achieving a two-thirds majority in the National Assembly.

Good morning and welcome to the "future." At approximately 4:29 p.m. Hill Valley time on Oct. 21, Doc Brown and Marty McFly arrive at the present day. For many millennials especially, the 1985 film series Back to the Future represented the far-flung fantastical future that many dreamed would come. But how does the Reagan-era vision of a future where we don't need roads compare to our daily lives today?

Sadly, you probably came to work today on the same street you may have trodden as a child back in 1985 without a hover board. But our future is still pretty fantastic, and many of the outlandish futuristic devices you saw in the 1989 film Back to the Future II are closer than you think—or already here. Here are three predictions that the film made that today might actually turn the head of an ‘80s time traveler

Drone proliferation

When Doc Brown and Marty McFly arrived in 2015, the sky was filled with more flying cars than the drones that sometimes dot our skies, but the film did point to some potential uses for unmanned remote flying devices. In the future, the film envisioned drones for walking the dog and even remote photography drones reporting on the day's news. While drones today don't exactly fill these roles, that future is perhaps closer than you think.

"Private actors will soon operate drones in equal if not greater numbers than the government," Brookings Fellow Wells Bennett wrote in a report on civilian use of drones last year. Amazon has tested drones to aid in home and business delivery. CNN has been given clearance by the government to explore the use of drones for reporting. Even law enforcement and public safety officials have used drones to aid in policing and fighting fires.

The widespread use of drones in daily life is probably still part of our future rather than our present in 2015, but regulations for this future are being written today. Federal regulators just this week announced that recreational drones will need to be registered. Last year as part of our project on civilian robotics, Gregory McNeal offered his own suggestions for federal and state regulators on how best to tackle civilian drone regulations.

Cybernetic humans and wearable technology

In the 1989 film, Marty faces off against his son's cybernetic bully, Griff Tannen. The bullies of the present don't exactly resemble Griff or Locutus of Borg, but cybernetics is closer than you think—even resting in your palm right now.

Taking a walk through Hill Valley in the real 2015, a time traveler might see several pedestrians immersed in their smartphones or glancing at notifications on their wearable devices. In our homes, virtual reality is becoming more prominent as well. Systems like Oculus and Google Cardboard resemble very closely the remote television visors worn by Marty's kids in the future.

"The proverbial visitor from Mars might conclude that [cell phones] were an important feature of human anatomy," Chief Justice John Roberts wrote in a 2014 opinion referencing the cybernetic future we are living today. Benjamin Wittes and Jane Chong acknowledge in their report on the emerging cyborg future that the connection we have with technology is becoming more personal. While surveillance laws of the past might make distinctions between human tissue and the devices we use in our daily lives, Wittes and Chong argue that perhaps the separation between the human being and technology in some cases is no longer there—and the law should adapt to acknowledge this.

Flying cars and the transportation of the future

The most-often panned prediction of the film is admittedly the most disappointing—there are no flying cars in our future. This has been a fantasy for even Baby Boomers who were thrilled by the Jetsons' view of the 21st Century. Flying cars do exist in a limited form, but they are more accurately described as ultra-portable planes that require a pilot’s license to fly. However, the future of transportation is even better than Marty or Doc Brown ever realized; they just needed to travel a few more years in the future to see it happen.

Driverless cars have the potential to be the biggest seismic shift in transportation that many of us will experience in our lifetime. Numerous automotive makers and even Google are preparing for the autonomous future. Imagine your vehicle circling the parking lot to pick you up after a film; traversing rush hour traffic to deliver your daughter to softball practice; even serving as designated driver on Friday night after drinks at the bar.

The future seems like a fantasy, but liability concerns about whom to sue when an automated vehicle gets in a fender bender—or worse—clouds this would-be future.

"While liability will always be important with respect to motor vehicle operation, automation will dramatically increase safety on the highways by reducing both the number and severity of accidents," writes John Villasenor in his report on how to tackle liability in the driverless era. Despite many reservations about driverless cars, Villasenor argues that current liability law frameworks would be well equipped to address concerns.

Of course, whether the DeLorean Motor Company will come out of mothballs and produce a driverless DeLorean remains to be seen.

Discuss the future's impact on the modern workforce

At least according to Robert Zemeckis, we've arrived in the future. Not that you’re here, join us at 2 p.m. Oct. 26 when we'll discuss one of the important consequences of all of this technological automation: its impact on the workforce and the availability of social benefits.

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.

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.

Editor's Note: TechTakes is a new series that collects the diverse perspectives of scholars around the Brookings Institution on technology policy issues. This first post in the series features contributions from Scott Andes, Susan Hennessey, Adie Tomer, Walter Valdivia, Darrell M. West, and Niam Yaraghi on the Internet of Things.

In the coming years, the number of devices around the world connected to the Internet of Things (IoT) will grow rapidly. Sensors located in buildings, vehicles, appliances, and clothing will create enormous quantities of data for consumers, corporations, and governments to analyze. Maximizing the benefits of IoT will require thoughtful policies. Given that IoT policy cuts across many disciplines and levels of government, who should coordinate the development of new IoT platforms? How will we secure billions of connected devices from cyberattacks? Who will have access to the data created by these devices? Below, Brookings scholars contribute their individual perspectives on the policy challenges and opportunities associated with the Internet of Things.

The Internet of Things will be everywhere

Darrell M. West is vice president and director of Governance Studies and founding director of the Center for Technology Innovation.

Humans are lovable creatures, but prone to inefficiency, ineffectiveness, and distraction. They like to do other things when they are driving such as listening to music, talking on the phone, texting, or checking email. Judging from the frequency of accidents though, many individuals believe they are more effective at multi-tasking than is actually the case.

The reality of these all too human traits is encouraging a movement from communication between computers to communication between machines. Driverless cars soon will appear on the highways in large numbers, and not just as a demonstration project. Remote monitoring devices will transmit vital signs to health providers, who then can let people know if their blood pressure has spiked or heart rhythm has shifted in a dangerous direction. Sensors in appliances will let individuals know when they are running low on milk, bread, or cereal. Thermostats will adjust their energy settings to the times when people actually are in the house, thereby saving substantial amounts of money while also protecting natural resources.

With the coming rise of a 5G network, the Internet of Things will unleash high-speed devices and a fully connected society. Advanced digital devices will enable a wide range of new applications from energy and transportation to home security and healthcare. They will help humans manage the annoyances of daily lives such as traffic jams, not being able to find parking places, or keeping track of physical fitness. The widespread adoption of smart appliances, smart energy grids, resource management tools, and health sensors will improve how people connect with one another and their electronic devices. But they also will raise serious security, privacy, and policy issues.

Implications for surveillance

Susan Hennessey is Fellow in National Security in Governance Studies at the Brookings Institution. She is the Managing Editor of the Lawfare blog, which is devoted to sober and serious discussion of "Hard National Security Choices.”

As the debate over encryption and diminished law enforcement access to communications enters the public arena, some posit the growing Internet of Things as a solution to “Going Dark.” A recently released Harvard Berkman Center report, “Don’t Panic,” concludes in part that losses of communication content will be offset by the growth of IoT and networked sensors. It argues IoT provides “prime mechanisms for surveillance: alternative vectors for information-gathering that could more than fill many of the gaps left behind by sources that have gone dark – so much so that they raise troubling questions about how exposed to eavesdropping the general public is poised to become.”

Director of National Intelligence James Clapper agrees that IoT has some surveillance potential. He recently testified before Congress that “[i]n the future, intelligence services might use the IoT for identification, surveillance, monitoring, location tracking, and targeting for recruitment, or to gain access to networks or user credentials.”

But intelligence gathering in the Internet age is fundamentally about finding needles in haystacks – IoT is poised to add significantly more hay than needles. Law enforcement and the intelligence community will have to develop new methods to isolate and process the magnitude of information. And Congress and the courts will have to decide how laws should govern this type of access.

For now, the unanswered question remains: How many refrigerators does it take to catch a terrorist?

IoT governance

Scott Andes is a senior policy analyst and associate fellow at the Anne T. and Robert M. Bass Initiative on Innovation and Placemaking, a part of the Centennial Scholar Initiative at the Brookings Institution.

As with many new technology platforms, the Internet of Things is often approached as revolutionary, not evolutionary technology. The refrain is that some scientific Rubicon has been crossed and the impact of IoT will come soon regardless of public policy. Instead, the role of policymakers is to ensure this new technology is leveraged within public infrastructure and doesn’t adversely affect national security or aggravate inequality. While these goals are clearly important, they all assume technological advances of IoT are staunchly within the realm of the private sector and do not justify policy intervention. However, as with almost all new technologies that catch the public’s eye—robotics, clean energy, autonomous cars, etc.—hyperbolic news reporting overstates the market readiness of these technologies, further lowering the perceived need of policy support.

The problem with this perspective is twofold. First, greater scientific breakthroughs are still needed. The current rate of improvement in processing power and data storage, miniaturization of devices, and more energy efficient sensors only begin to scratch the surface of IoT’s full potential. Advances within next-generation computational power, autonomous devices, and interoperable systems still require scientific breakthroughs and are nowhere near deployment. Second, even if the necessary technological advancements of IoT have been met, it’s not clear the U.S. economy will be the prime recipient of its economic value. Nations that lead in advanced manufacturing, like Germany, may already be better poised to export IoT-enabled products. Policymakers in the United States should view technological advancements in IoT as a global economic race that can be won through sound science policies. These should include: accelerating basic engineering research; helping that research reach the market; supporting entrepreneurs’ access to capital; and training a science and engineering-ready workforce that can scale up new technologies.

IoT will democratize innovation

Walter D. Valdivia is a fellow in the Center for Technology Innovation at Brookings.

The Internet of Things could be a wonderful thing, but not in the way we imagine it.

Today, the debate is dominated by cheerleaders or worrywarts. But their perspectives are merely two sides of the same coin: technical questions about reliability of communications and operations, and questions about system security. Our public imagination about the future is being narrowly circumscribed by these questions. However, as the Internet of Things starts to become a thing—or multiples things, or a networked plurality—it is likely to intrude so intensely into our daily lives that alternative imaginations will emerge and will demand a hearing.

A compelling vision of the future is necessary to organize and coordinate the various market and political agents who will integrate IoT into society. Technological success is usually measured in terms set by the purveyor of that vision. Traditionally, this is a small group with a financial stake in technological development: the innovating industry. However, the intrusiveness and pervasiveness of the Internet of Things will prompt ordinary citizens to augment that vision. Citizen participation will deny any group a monopoly on that vision of the future. Such a development would be a true step in the direction of democratizing innovation. It could make IoT a wonderful thing indeed.

Applications of IoT for infrastructure

Adie Tomer is a fellow at the Brookings Institution Metropolitan Policy Program and a member of the Metropolitan Infrastructure Initiative.

The Internet of Things and the built environment are a natural fit. The built environment is essentially just a collection of physical objects—from sidewalks and streets to buildings and water pipes—that all need to be managed in some capacity. Today, we measure our shared use of those objects through antiquated analog or digital systems. Think of the electricity meter on a building, or a person manually counting pedestrians on a busy city street. Digital, Internet-connected sensors promise to modernize measurement, relaying a whole suit of indicators to centralized databases tweaked to make sense of such big data.

But let’s not fool ourselves. Simply outfitting cities and metro areas with more sensors won’t solve any of our pressing urban issues. Without governance frameworks to apply the data towards goals around transportation congestion, more efficient energy use, or reduced water waste, these sensors could be just another public investment that doesn’t lead to public benefit.

The real goal for IoT in the urban space, then, is to ensure our built environment supports broader economic, social, and environmental objectives. And that’s not a technology issue—that’s a question around leadership and agenda-setting.

Applications of IoT for health care

Niam Yaraghi is a fellow in the Brookings Institution's Center for Technology Innovation.

Health care is one of the most exciting application areas for IoT. Imagine that your Fitbit could determine if you fall, are seriously hurt, and need to be rushed to hospital. It automatically pings the closest ambulance and sends a brief summary of your medical status to the EMT personnel so that they can prepare for your emergency services even before they reach the scene. On the way, the ambulance will not need to use sirens to make way since the other autonomous vehicles have already received a notification about approaching ambulance and clear the way while the red lights automatically turn green. 

IoT will definitely improve the efficiency of health care services by reducing medical redundancies and errors. This dream will come true sooner than you think. However, if we do not appropriately address the privacy and security issues of healthcare data, then IoT can be our next nightmare. What if terrorist organizations (who are becoming increasingly technology savvy) find a way to hack into Fitbit and send wrong information to an EMT? Who owns our medical data? Can we prevent Fitbit from selling our health data to third parties? Given these concerns, I believe we should design a policy framework that encourages accountability and responsibility with regards to health data. The framework should precisely define who owns data; who can collect, store, mine and use it; and what penalties will be enforced if entities acted outside of this framework.