Harnessing the Internet of Everything to Serve the Public Good


Brian Gill at Socrata: “…Thanks to sensor-based objects, big data is getting bigger, and that presents opportunities — and considerations — for government organizations.

Picture this: It’s a sunny summer’s day a few years from now, plants are in full bloom, and you’re strolling through a major city park. Unfortunately, your eyes are watering as the itchy beginnings of a pollen-induced allergy attack begin to compromise the experience.

Pulling out your phone, you consult a data visualization showing the park’s hour-by-hour pollen count densities. You then choose a new path, one with different vegetation and lighter pollen counts, and go about your way, barely noticing the egg-shaped nodes in the canopy monitoring everything from pollen to air quality to foot-traffic trends.

Welcome to the Internet of Everything, city edition.

….tapping into, and especially generating, IoT data streams is a natural fit for larger municipal governments who not only have the fiscal resources needed to put IoT data to work, they have an innate motivator: improving citizens’ lives.

Consider Chicago’s Array of Things project, an experimental network of modular sensor boxes installed around the city’s core. Think of it as an urban fitness-data tracker: The nodes collect real-time data on the city’s environment and infrastructure for research and public use, with the first units focusing on atmosphere, air quality, and environmental factors such as temperature, humidity, and light.

From this data alone, the potential applications are exciting, such as using air, sound, and vibration data to monitor vehicle traffic, or infrared sensors to measure street temperature to guide salting responses during winter storms. The thinkers behind Array of Things can even envision a downtown where street lamp poles alert pedestrians to icy sidewalk patches and apps guide people to safe nocturnal walking routes.

This is all cool stuff, but “outcome” is the key word here, says McInnis, who recommends a bottom-up approach when assessing IoT opportunities. Instead of worrying whether you currently possess the technical infrastructure to harness IoT data, he says, first determine what you want to achieve, be it water quality monitoring or winter sidewalk safety, and then work from there — you may even already have IoT data streams that can be redeployed.

And as cities like Chicago are demonstrating, the Internet of Things not only has the potential to reshape how municipalities can harness a world of increasing object-driven data; it’s helping reshape how cities think about the nature of usable data.

In other words, all these new IoT data streams are actually like water, a natural resource. And just as water flows from many sources, government IoT data can also be collected, channeled, and processed like any utility — and serve as a powerful public good. …(More)”

Can the crowd deliver more open government?


  at GovernmentNews: “…Crowdsourcing and policy making was the subject of a lecture by visiting academic Dr Tanja Aitamurto at Victoria’s Swinburne University of Technology earlier this month. Dr Aitamurto wrote “Crowdsourcing for Democracy: New Era in Policy-Making” and led the design and implementation of the Finnish Experiment, a pioneering case study in crowdsourcing policy making.

She spoke about how Scandinavian countries have used crowdsourcing to “tap into the collective intelligence of a large and diverse crowd” in an “open ended knowledge information search process” in an open call for anybody to participate online and complete a task.

It has already been used widely and effectively by companies  such as Proctor and Gamble who offer a financial reward for solutions to their R&D problems.

The Finnish government recently used crowdsourcing when it came to reform the country’s Traffic Act following a rash of complaints to the Minister of the Environment about it. The Act, which regulates issues such as off-road traffic, is an emotive issue in Finland where snow mobiles are used six months of the year and many people live in remote areas.

The idea was for people to submit problems and solutions online, covering areas such as safety, noise, environmental protection, the rights of snowmobile owners and landowners’ rights. Everyone could see what was written and could comment on it.

Dr Aitamurto said crowdsourcing had four stages:

• The problem mapping space, where people were asked to outline the issues that needed solving
• An appeal for solutions
• An expert panel evaluated the comments received based on the criteria of: effectiveness, cost efficiency, ease of implementation and fairness. The crowd also had the chance to evaluate and rank solutions online
• The findings were then handed over to the government for the law writing process

Dr Aitamurto said active participation seemed to create a strong sense of empowerment for those involved.

She said some people reported that it was the first time in their lives they felt they were really participating in democracy and influencing decision making in society. They said it felt much more real than voting in an election, which felt alien and remote.

“Participation becomes a channel for advocacy, not just for self-interest but a channel to hear what others are saying and then also to make yourself heard. People expected a compromise at the end,” Dr Aitamurto said.

Being able to participate online was ideal for people who lived remotely and turned crowdsourcing into a democratic innovation which brought citizens closer to policy and decision making between elections.

Other benefits included reaching out to tap into new pools of knowledge, rather than relying on a small group of homogenous experts to solve the problem.

“When we use crowdsourcing we actually extend our knowledge search to multiple, hundreds of thousands of distant neighbourhoods online and that can be the power of crowdsourcing: to find solutions and information that we wouldn’t find otherwise. We find also unexpected information because it’s a self-selecting crowd … people that we might not have in our networks already,” Dr Aitamurto said.

The process can increase transparency as people interact on online platforms and where the government keeps feedback loops going.

Dr Aitamurto is also a pains to highlight what crowdsourcing is not and cannot be, because participants are self-selecting and not statistically representative.

“The crowd doesn’t make decisions, it provides information. It’s not a method or tool for direct democracy and it’s not a public opinion poll either”.

Crowdsourcing has fed into policy in other countries too, for example, during Iceland’s constitutional reform and in the United States where the federal Emergency Management Agency overhauled its strategy after a string of natural disasters.

Australian government has been getting in on the act using cloud-based software Citizen Space to gain input into a huge range of topics. While much of it is technically consultation, rather than feeding into actual policy design, it is certainly a step towards more open government.

British company Delib, which is behind the software, bills it as “managing, publicising and archiving all of your organisation’s consultation activity”.

One council who has used Citizens Space is Wyong Shire on the NSW Central Coast. The council has used the consultation hub to elicit ratepayers’ views on a number of topics, including a special rate variation, community precinct forums, strategic plans and planning decisions.

One of Citizen Space’s most valuable features is the section ‘we asked, you said, we did’….(More)”

How Startups Are Transforming the Smart City Movement


Jason Shueh at GovTech: “Remember the 1990s visions of the future? Those first incantations of the sweeping “smart city,” so technologically utopian and Tomorrowland-ish in design? The concept and solutions were pitched by tech titans like IBM and Cisco, cost obscene amounts of money, and promised equally outlandish levels of innovation.

It was a drive — as idealistic as it was expedient — to spark a new industry that infused cities with data, analytics, sensors and clean energy. Two-and-a-half decades later, the smart city market has evolved. Its solutions are more pragmatic and its benefits more potent. Evidence brims inSingapore, where officials boast that they can predict traffic congestion an hour in advance with 90 percent accuracy. Similarly, in Chicago, the city has embraced analytics to estimate rodent infestations and prioritizerestaurant inspections. These of course are a few standouts, but as many know, the movement is highly diverse and runs its fingers through cities and across continents.

And yet what’s not as well-known is what’s happened in the last few years. The industry appears to be undergoing another metamorphosis, one that takes the ingenuity inspired by its beginnings and reimagines it with the help of do-it-yourself entrepreneurs….

Asked for a definition, Abrahamson centered his interpretation on tech that enhances quality of life. With the possible exception of health care, finance and education — systems large enough to merit their own categories, Abrahamson explains smart cities by highlighting investment areas at Urban.us. Specific areas are packaged as follows:

Mobility and Logistics: How cities move people and things to, from and within cities.

Built Environment: The public and private spaces in which citizens work and live.

Utilities: Critical resources including water, waste and energy.

Service Delivery: How local governments provide services ranging from public works to law enforcement….

Who’s Investing?

….Here is a sampling of a few types, with examples of their startup investments.

General Venture Capitalists

a16z (Andreessen Horowitz) – Mapillary and Moovit

Specialty Venture Capitalists

Fontinalis – Lyft, ParkMe, LocoMobi

Black Coral Capital – Digital Lumens, Clean Energy Collective, newterra

Govtech Fund – AmigoCloud, Mark43, MindMixer

Corporate Venture Capitalists

Google Ventures – Uber, Skycatch, Nest

Motorola Solutions Venture Capital – CyPhy Works and SceneDoc

BMW i Ventures – Life360 and ChargePoint

Impact/Social Investors

Omidyar Network – SeeClickFix and Nationbuilder

Knight Foundation – Public Stuff, Captricity

Kapor Capital – Uber, Via, Blocpower

1776 – Radiator Labs, Water Lens… (More)

Give me location data, and I shall move the world


Marta Poblet at the Conversation: “Behind the success of the new wave of location based mobile apps taking hold around the world is digital mapping. Location data is core to popular ride-sharing services such as Uber and Lyft, but also to companies such as Amazon or Domino’s Pizza, which are testing drones for faster deliveries.

Last year, German delivery firm DHL launched its first “parcelcopter” to send medication to the island of Juist in the Northern Sea. In the humanitarian domain, drones are also being tested for disaster relief operations.

Better maps can help app-led companies gain a competitive edge, but it’s hard to produce them at a global scale. …

A flagship base map for the past ten years has been OpenStreetMap (OSM), also known as the “Wikipedia of mapping”. With more than two million registered users, OpenStreetMap aims to create a free map of the world. OSM volunteers have been particularly active in mapping disaster-affected areas such as Haiti, the Philippines or Nepal. A recent study reports how humanitarian response has been a driver of OSM’s evolution, “in part because open data and participatory ideals align with humanitarian work, but also because disasters are catalysts for organizational innovation”….

Intense competition for digital maps also flags the start of the self-driving car race. Google is already testing its prototypes outside Silicon Valley and Apple has been rumoured to work on a secret car project code named Titan.

Uber has partnered with Carnegie Mellon and Arizona Universities to work on vehicle safety and cheaper laser mapping systems. Tesla is also planning to make its electric cars self-driving.

Legal and ethical challenges are not to be underestimated either. Most countries impose strict limits on testing self-driving cars on public roads. Similar limitations apply to the use of civilian drones. And the ethics of fully autonomous cars is still in its infancy. Autonomous cars probably won’t be caught texting, but they will still be confronted with tough decisions when trying to avoid potential accidents. Current research engages engineers and philosophers to work on how to assist cars when making split-second decisions that can raise ethical dilemmas….(More)”

Memex Human Trafficking


MEMEX is a DARPA program that explores how next generation search and extraction systems can help with real-world use cases. The initial application is the fight against human trafficking. In this application, the input is a portion of the public and dark web in which human traffickers are likely to (surreptitiously) post supply and demand information about illegal labor, sex workers, and more. DeepDive processes such documents to extract evidential data, such as names, addresses, phone numbers, job types, job requirements, information about rates of service, etc. Some of these data items are difficult for trained human annotators to accurately extract and have never been previously available, but DeepDive-based systems have high accuracy (Precision and Recall in the 90s, which may exceed non-experts). Together with provenance information, such structured, evidential data are then passed on to both other collaborators on the MEMEX program as well as law enforcement for analysis and consumption in operational applications. MEMEX has been featured extensively in the media and is supporting actual investigations. For example, every human trafficking investigation pursued by the Human Trafficking Response Unity in New York City involves MEMEX. DeepDive is the main extracted data provider for MEMEX. See also, 60 minutes, Scientific American, Wall St. Journal, BBC, and Wired. It is supporting actual investigations and perhaps new usecases in the war on terror.

Here is a detailed description of DeepDive’s role in MEMEX.”

 

Enabling the Data Revolution: An International Open Data Roadmap


IODC 2015: “The 3rd International Open Data Conference held in Ottawa, Canada May 28-29, 2015 was a great success. With over 1000 participants, 58 panels and workshops, ten parallel tracks, over 200 speakers, and more than 29 fringe events over 9 days, IODC was truly a global gathering.

We are excited to introduce the 3rd International Open Data Conference Final Report titled “Enabling the Data Revolution: An International Open Data Roadmap”.

This report draws upon the many discussions that took place in Ottawa at IODC, providing a summary of key topics and debates, and providing a shared vision of the road ahead for the IODC community. It is designed not as a single statement on open data, but rather as a curated record of discussions and debates, providing a snapshot of key issues and setting out a path forward based on the visions, ideas, and agreements explored at IODC.

The Merit Principle in Crisis


Commentary in Governance: “In the United States, the presidential race is heating up, and one result is an increasing number of assaults on century-old ideas about the merit-based civil service.  “The merit principle is under fierce attack,” says Donald Kettl, in a new commentary for Governance.  Kettl outlines five “tough questions” that are raised by attacks on the civil service system — and says that the US research community “has been largely asleep at the switch” on all of them.  Within major public policy schools, courses on the public service have been “pushed to the side.”  A century ago, American academics helped to build the American state.  Kettl warns that “scholarly neglect in the 2000s could undermine it.”  Read the commentary.

Innovative Study Supports Asteroid Initiative, Journey To Mars


David Steitz at NASA: “Innovation is a primary tool for problem solving at NASA. Whether creating new robotic spacecraft to explore asteroids or developing space habitats for our journey to Mars, innovative thinking is key to our success. NASA leads the federal government in cutting edge methods for conceptualizing and then executing America’s space exploration goals.

One example of NASA innovation is the agency’s work with the Expert and Citizen Assessment of Science and Technology (ECAST) Network. The ECAST group provided a citizen-focused, participatory technology assessment of NASA’s Asteroid Initiative, increasing public understanding of and engagement in the initiative while also providing the agency with new knowledge for use in planning our future missions.

“Participatory Exploration includes public engagement as we chart the course for future NASA activities, ranging from planetary defense to boots on Mars,” said Jason Kessler, program executive for NASA’s Asteroid Grand Challenge within the Office of the Chief Technologist at NASA Headquarters in Washington. “The innovative methodology for public engagement that the ECAST has given us opens new avenues for dialog directly with stakeholders across the nation, Americans who have and want to share their ideas with NASA on activities the agency is executing, now and in the future.”

In addition to formal “requests for information” or forums with industry for ideas, NASA employed ECAST to engage in a “participatory technology assessment,” an engagement model that seeks to improve the outcomes of science and technology decision-making through dialog with informed citizens. Participatory technology assessment involves engaging a group of non-experts who are representative of the general population but who—unlike political, academic, and industry stakeholders—who are often underrepresented in technology-related policymaking….(More)”

Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots


Book description: “Robots are poised to transform today’s society as completely as the Internet did twenty years ago. Pulitzer prize-winning New York Times science writer John Markoff argues that we must decide to design ourselves into our future, or risk being excluded from it altogether.

In the past decade, Google introduced us to driverless cars; Apple debuted Siri, a personal assistant that we keep in our pockets; and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the Web. Robots have become an integral part of society on the battlefield and the road; in business, education, and health care. Cheap sensors and powerful computers will ensure that in the coming years, these robots will act on their own. This new era offers the promise of immensely powerful machines, but it also reframes a question first raised more than half a century ago, when the intelligent machine was born. Will we control these systems, or will they control us?

In Machines of Loving Grace, John Markoff offers a sweeping history of the complicated and evolving relationship between humans and computers. In recent years, the pace of technological change has accelerated dramatically, posing an ethical quandary. If humans delegate decisions to machines, who will be responsible for the consequences? As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s and 1960s, to the modern-day brain trusts at Google and Apple in Silicon Valley, and on to the expanding robotics economy around Boston, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the brink of the next stage of the computer revolution, Markoff argues, and robots will profoundly transform modern life. Yet it remains for us to determine whether this new world will be a utopia. Moreover, it is now incumbent upon the designers of these robots to draw a bright line between what is human and what is machine.

After nearly forty years covering the tech industry, Markoff offers an unmatched perspective on the most drastic technology-driven societal shifts since the introduction of the Internet. Machines of Loving Grace draws on an extensive array of research and interviews to present an eye-opening history of one of the most pressing questions of our time, and urges us to remember that we still have the opportunity to design ourselves into the future—before it’s too late….(More)”

How Africa can benefit from the data revolution


 in The Guardian: “….The modern information infrastructure is about movement of data. From data we derive information and knowledge, and that knowledge can be propagated rapidly across the country and throughout the world. Facebook and Google have both made massive investments in machine learning, the mainstay technology for converting data into knowledge. But the potential for these technologies in Africa is much larger: instead of simply advertising products to people, we can imagine modern distributed health systems, distributed markets, knowledge systems for disease intervention. The modern infrastructure should be data driven and deployed across the mobile network. A single good idea can then be rapidly implemented and distributed via the mobile phone app ecosystems.

The information infrastructure does not require large scale thinking and investment to deliver. In fact, it requires just the reverse. It requires agility and innovation. Larger companies cannot react quickly enough to exploit technological advances. Small companies with a good idea can grow quickly. From IBM to Microsoft, Google and now Facebook. All these companies now agree on one thing: data is where the value lies. Modern internet companies are data-driven from the ground up. Could the same thing happen in Africa’s economies? Can entire countries reformulate their infrastructures to be data-driven from the ground up?

Maybe, or maybe not, but it isn’t necessary to have a grand plan to give it a go. It is already natural to use data and communication to solve real world problems. In Silicon Valley these are the challenges of getting a taxi or reserving a restaurant. In Africa they are often more fundamental. John Quinn has been in Kampala, Uganda at Makerere University for eight years now targeting these challenges. In June this year, John and other researchers from across the region came together for Africa’s first workshop on data science at Dedan Kimathi University of Technology. The objective was to spread knowledge of technologies, ideas and solutions. For the modern information infrastructure to be successful software solutions need to be locally generated. African apps to solve African problems. With this in mind the workshop began with a three day summer school on data science which was then followed by two days of talks on challenges in African data science.

The ideas and solutions presented were cutting edge. The Umati project uses social media to understand the use of ethnic hate speech in Kenya (Sidney Ochieng, iHub, Nairobi). The use of social media for monitoring the evolution and effects of Ebola in west Africa (Nuri Pashwani, IBM Research Africa). The Kudusystem for market making in Ugandan farm produce distribution via SMS messages (Kenneth Bwire, Makerere University, Kampala). Telecommunications data for inferring the source and spread of a typhoid outbreak in Kampala (UN Pulse Lab, Kampala). The Punya system for prototyping and deployment of mobile phone apps to deal with emerging crises or market opportunities (Julius Adebayor, MIT) and large scale systems for collating and sharing data resources Open Data Kenya and UN OCHA Human Data Exchange….(More)”