From Katrina To Harvey: How Disaster Relief Is Evolving With Technology


Cale Guthrie Weissman at Fast Company: “Open data may sound like a nerdy thing, but this weekend has proven it’s also a lifesaver in more ways than one.

As Hurricane Harvey pelted the southern coast of Texas, a local open-data resource helped provide accurate and up-to-date information to the state’s residents. Inside Harris County’s intricate bayou system–intended to both collect water and effectively drain it–gauges were installed to sense when water is overflowing. The sensors transmit the data to a website, which has become a vital go-to for Houston residents….

This open access to flood gauges is just one of the many ways new tech-driven projects have helped improve responses to disasters over the years. “There’s no question that technology has played a much more significant role,” says Lemaitre, “since even Hurricane Sandy.”

While Sandy was noted in 2012 for its ability to connect people with Twitter hashtags and other relatively nascent social apps like Instagram, the last few years have brought a paradigm shift in terms of how emergency relief organizations integrate technology into their responses….

Social media isn’t just for the residents. Local and national agencies–including FEMA–rely on this information and are using it to help create faster and more effective disaster responses. Following the disaster with Hurricane Katrina, FEMA worked over the last decade to revamp its culture and methods for reacting to these sorts of situations. “You’re seeing the federal government adapt pretty quickly,” says Lemaitre.

There are a few examples of this. For instance, FEMA now has an app to push necessary information about disaster preparedness. The agency also employs people to cull the open web for information that would help make its efforts better and more effective. These “social listeners” look at all the available Facebook, Snapchat, and other social media posts in aggregate. Crews are brought on during disasters to gather intelligence, and then report about areas that need relief efforts–getting “the right information to the right people,” says Lemaitre.

There’s also been a change in how this information is used. Often, when disasters are predicted, people send supplies to the affected areas as a way to try and help out. Yet they don’t know exactly where they should send it, and local organizations sometimes become inundated. This creates a huge logistical nightmare for relief organizations that are sitting on thousands of blankets and tarps in one place when they should be actively dispersing them across hundreds of miles.

“Before, you would just have a deluge of things dropped on top of a disaster that weren’t particularly helpful at times,” says Lemaitre. Now people are using sites like Facebook to ask where they should direct the supplies. For example, after a bad flood in Louisiana last year, a woman announced she had food and other necessities on Facebook and was able to direct the supplies to an area in need. This, says Lemaitre, is “the most effective way.”

Put together, Lemaitre has seen agencies evolve with technology to help create better systems for quicker disaster relief. This has also created a culture of learning updates and reacting in real time. Meanwhile, more data is becoming open, which is helping both people and agencies alike. (The National Weather Service, which has long trumpeted its open data for all, has become a revered stalwart for such information, and has already proven indispensable in Houston.)

Most important, the pace of technology has caused organizations to change their own procedures. Twelve years ago, during Katrina, the protocol was to wait until an assessment before deploying any assistance. Now organizations like FEMA know that just doesn’t work. “You can’t afford to lose time,” says Lemaitre. “Deploy as much as you can and be fast about it–you can always scale back.”

It’s important to note that, even with rapid technological improvements, there’s no way to compare one disaster response to another–it’s simply not apples to apples. All the same, organizations are still learning about where they should be looking and how to react, connecting people to their local communities when they need them most….(More)”.

From ‘Opening Up’ to Democratic Renewal: Deepening Public Engagement in Legislative Committees


Carolyn M. Hendriks and Adrian Kay in Government and Opposition: “Many legislatures around the world are undergoing a ‘participatory makeover’. Parliaments are hosting open days and communicating the latest parliamentary updates via websites and social media. Public activities such as these may make parliaments more informative and accessible, but much more could be done to foster meaningful democratic renewal. In particular, participatory efforts ought to be engaging citizens in a central task of legislatures – to deliberate and make decisions on collective issues. In this article, the potential of parliamentary committees to bring the public closer to legislative deliberations is considered. Drawing on insights from the practice and theory of deliberative democracy, the article discusses why and how deeper and more inclusive forms of public engagement can strengthen the epistemic, representative and deliberative capacities of parliamentary committees. Practical examples are considered to illustrate the possibilities and challenges of broadening public involvement in committee work….(More)”

Bridging Governments’ Borders


Robyn Scott & Lisa Witter at SSIR: “…Our research found that “disconnection” falls into five, negatively reinforcing categories in the public sector; a closer look at these categories may help policy makers see the challenge before them more clearly:

1. Disconnected Governments

There is a truism in politics and government that all policy is local and context-dependent. Whether this was ever an accurate statement is questionable; it is certainly no longer. While all policy must ultimately be customized for local conditions, it absurd to assume there is little or nothing to learn from other countries. Three trends, in fact, indicate that solutions will become increasingly fungible between countries…..

2. Disconnected Issues

What climate change policy can endure without a job-creation strategy? What sensible criminal justice reform does not consider education? Yet even within countries, departments and their employees often remain as foreign to each other as do nations….

3. Disconnected Public Servants

The isolation of governments, and of government departments, is caused by and reinforces the isolation of people working in government, who have few incentives—and plenty of disincentives—to share what they are working on…..

4. Disconnected Citizens

…There are areas of increasingly visible progress in bridging the disconnections of government, citizen engagement being one. We’re still in the early stages, but private sector fashions such as human-centered design and design thinking have become government buzzwords. And platforms enabling new types of citizen engagement—from participatory budgeting to apps that people use to report potholes—are increasingly popping up around the world…..

5. Disconnected Ideas

According to the World Bank’s own data, one third of its reports are never read, even once. Foundations and academia pour tens of millions of dollars into policy research with few targeted channels to reach policymakers; they also tend to produce and deliver information in formats that policymakers don’t find useful. People in government, like everyone else, are frequently on their mobile phones, and short of time….(More)”

 

What does it mean to be differentially private?


Paul Francis at IAPP: “Back in June 2016, Apple announced it will use differential privacy to protect individual privacy for certain data that it collects. Though already a hot research topic for over a decade, this announcement introduced differential privacy to the broader public. Before that announcement, Google had already been using differential privacy for collecting Chrome usage statistics. And within the last month, Uber announced that they too are using differential privacy.

If you’ve done a little homework on differential privacy, you may have learned that it provides provable guarantees of privacy and concluded that a database that is differentially private is, well, private — in other words, that it protects individual privacy. But that isn’t necessarily the case. When someone says, “a database is differentially private,” they don’t mean that the database is private. Rather, they mean, “the privacy of the database can be measured.”

Really, it is like saying that “a bridge is weight limited.” If you know the weight limit of a bridge, then yes, you can use the bridge safely. But the bridge isn’t safe under all conditions. You can exceed the weight limit and hurt yourself.

The weight limit of bridges is expressed in tons, kilograms or number of people. Simplifying here a bit, the amount of privacy afforded by a differentially private database is expressed as a number, by convention labeled ε (epsilon). Lower ε means more private.

All bridges have a weight limit. Everybody knows this, so it sounds dumb to say, “a bridge is weight limited.” And guess what? All databases are differentially private. Or, more precisely, all databases have an ε. A database with no privacy protections at all has an ε of infinity. It is pretty misleading to call such a database differentially private, but mathematically speaking, it is not incorrect to do so. A database that can’t be queried at all has an ε of zero. Private, but useless.

In their paper on differential privacy for statistics, Cynthia Dwork and Adam Smith write, “The choice of ε is essentially a social question. We tend to think of ε as, say, 0.01, 0.1, or in some cases, ln 2 or ln 3.” The natural logarithm of 3 (ln 3) is around 1.1….(More)”.

Crowdsourcing the Charlottesville Investigation


Internet sleuths got to work, and by Monday morning they were naming names and calling for arrests.

The name of the helmeted man went viral after New York Daily News columnist Shaun King posted a series of photos on Twitter and Facebook that more clearly showed his face and connected him to photos from a Facebook account. “Neck moles gave it away,” King wrote in his posts, which were shared more than 77,000 times. But the name of the red-bearded assailant was less clear: some on Twitter claimed it was a Texas man who goes by a Nordic alias online. Others were sure it was a Michigan man who, according to Facebook, attended high school with other white nationalist demonstrators depicted in photos from Charlottesville.

After being contacted for comment by The Marshall Project, the Michigan man removed his Facebook page from public view.

Such speculation, especially when it is not conclusive, has created new challenges for law enforcement. There is the obvious risk of false identification. In 2013, internet users wrongly identified university student Sunil Tripathi as a suspect in the Boston marathon bombing, prompting the internet forum Reddit to issue an apology for fostering “online witch hunts.” Already, an Arkansas professor was misidentified as as a torch-bearing protester, though not a criminal suspect, at the Charlottesville rallies.

Beyond the cost to misidentified suspects, the crowdsourced identification of criminal suspects is both a benefit and burden to investigators.

“If someone says: ‘hey, I have a picture of someone assaulting another person, and committing a hate crime,’ that’s great,” said Sgt. Sean Whitcomb, the spokesman for the Seattle Police Department, which used social media to help identify the pilot of a drone that crashed into a 2015 Pride Parade. (The man was convicted in January.) “But saying, ‘I am pretty sure that this person is so and so’. Well, ‘pretty sure’ is not going to cut it.”

Still, credible information can help police establish probable cause, which means they can ask a judge to sign off on either a search warrant, an arrest warrant, or both….(More)“.

Gaming for Infrastructure


Nilmini Rubin & Jennifer Hara  at the Stanford Social Innovation Review: “…the American Society of Civil Engineers (ASCE) estimates that the United States needs $4.56 trillion to keep its deteriorating infrastructure current but only has funding to cover less than half of necessary infrastructure spending—leaving the at least country $2.0 trillion short through the next decade. Globally, the picture is bleak as well: World Economic Forum estimates that the infrastructure gap is $1 trillion each year.

What can be done? Some argue that public-private partnerships (PPPs or P3s) are the answer. We agree that they can play an important role—if done well. In a PPP, a private party provides a public asset or service for a government entity, bears significant risk, and is paid on performance. The upside for governments and their citizens is that the private sector can be incentivized to deliver projects on time, within budget, and with reduced construction risk. The private sector can benefit by earning a steady stream of income from a long-term investment from a secure client. From the Grand Parkway Project in Texas to the Queen Alia International Airport in Jordan, PPPs have succeeded domestically and internationally.

The problem is that PPPs can be very hard to design and implement. And since they can involve commitments of millions or even billions of dollars, a PPP failure can be awful. For example, the Berlin Airport is a PPP that is six years behind schedule, and its costs overruns total roughly $3.8 billion to date.

In our experience, it can be useful for would-be partners to practice engaging in a PPP before they dive into a live project. At our organization, Tetra Tech’s Institute for Public-Private Partnerships, for example, we use an online and multiplayer game—the P3 Game—to help make PPPs work.

The game is played with 12 to 16 people who are divided into two teams: a Consortium and a Contracting Authority. In each of four rounds, players mimic the activities they would engage in during the course of a real PPP, and as in real life, they are confronted with unexpected events: The Consortium fails to comply with a routine road inspection, how should the Contracting Authority team respond? The cost of materials skyrockets, how should the Consortium team manage when it has a fixed price contract?

Players from government ministries, legislatures, construction companies, financial institutions, and other entities get to swap roles and experience a PPP from different vantage points. They think through challenges and solve problems together—practicing, failing, learning, and growing—within the confines of the game and with no real-world cost.

More than 1,000 people have participated to date, including representatives of the US Army Corps of Engineers, the World Bank, and Johns Hopkins University, using a variety of scenarios. PPP team members who work on part of the Schiphol-Amsterdam-Almere Project, a $5.6-billion road project in the Netherlands, played the game using their actual contract document….(More)”.

Can AI tools replace feds?


Derek B. Johnson at FCW: “The Heritage Foundation…is calling for increased reliance on automation and the potential creation of a “contractor cloud” offering streamlined access to private sector labor as part of its broader strategy for reorganizing the federal government.

Seeking to take advantage of a united Republican government and a president who has vowed to reform the civil service, the foundation drafted a pair of reports this year attempting to identify strategies for consolidating, merging or eliminating various federal agencies, programs and functions. Among those strategies is a proposal for the Office of Management and Budget to issue a report “examining existing government tasks performed by generously-paid government employees that could be automated.”

Citing research on the potential impacts of automation on the United Kingdom’s civil service, the foundation’s authors estimated that similar efforts across the U.S. government could yield $23.9 billion in reduced personnel costs and a reduction in the size of the federal workforce by 288,000….

The Heritage report also called on the federal government to consider a “contracting cloud.” The idea would essentially be for a government version of TaskRabbit, where agencies could select from a pool of pre-approved individual contractors from the private sector who could be brought in for specialized or seasonal work without going through established contracts. Greszler said the idea came from speaking with subcontractors who complained about having to kick over a certain percentage of their payments to prime contractors even as they did all the work.

Right now the foundation is only calling for the government to examine the potential of the issue and how it would interact with existing or similar vehicles for contracting services like the GSA schedule. Greszler emphasized that any pool of workers would need to be properly vetted to ensure they met federal standards and practices.

“There has to be guidelines or some type of checks, so you’re not having people come off the street and getting access to secure government data,” she said….(More)

Nudging and Boosting: Steering or Empowering Good Decisions


 and  in Perspectives on Psychological Science: “In recent years, policy makers worldwide have begun to acknowledge the potential value of insights from psychology and behavioral economics into how people make decisions. These insights can inform the design of nonregulatory and nonmonetary policy interventions—as well as more traditional fiscal and coercive measures. To date, much of the discussion of behaviorally informed approaches has emphasized “nudges,” that is, interventions designed to steer people in a particular direction while preserving their freedom of choice. Yet behavioral science also provides support for a distinct kind of nonfiscal and noncoercive intervention, namely, “boosts.” The objective of boosts is to foster people’s competence to make their own choices—that is, to exercise their own agency. Building on this distinction, we further elaborate on how boosts are conceptually distinct from nudges: The two kinds of interventions differ with respect to (a) their immediate intervention targets, (b) their roots in different research programs, (c) the causal pathways through which they affect behavior, (d) their assumptions about human cognitive architecture, (e) the reversibility of their effects, (f) their programmatic ambitions, and (g) their normative implications. We discuss each of these dimensions, provide an initial taxonomy of boosts, and address some possible misconceptions….(More)”.

Crowdsourcing citizen science: exploring the tensions between paid professionals and users


Jamie Woodcock et al in the Journal of Peer Production: “This paper explores the relationship between paid labour and unpaid users within the Zooniverse, a crowdsourced citizen science platform. The platform brings together a crowd of users to categorise data for use in scientific projects. It was initially established by a small group of academics for a single astronomy project, but has now grown into a multi-project platform that has engaged over 1.3 million users so far. The growth has introduced different dynamics to the platform as it has incorporated a greater number of scientists, developers, links with organisations, and funding arrangements—each bringing additional pressures and complications. The relationships between paid/professional and unpaid/citizen labour have become increasingly complicated with the rapid expansion of the Zooniverse. The paper draws on empirical data from an ongoing research project that has access to both users and paid professionals on the platform. There is the potential through growing peer-to-peer capacity that the boundaries between professional and citizen scientists can become significantly blurred. The findings of the paper, therefore, address important questions about the combinations of paid and unpaid labour, the involvement of a crowd in citizen science, and the contradictions this entails for an online platform. These are considered specifically from the viewpoint of the users and, therefore, form a new contribution to the theoretical understanding of crowdsourcing in practice….(More)”.

Open & Shut


Harsha Devulapalli: “Welcome to Open & Shut — a new blog dedicated to exploring the opportunities and challenges of working with open data in closed societies around the world. Although we’ll be exploring questions relevant to open data practitioners worldwide, we’re particularly interested in seeing how civil society groups and actors in the Global South are using open data to push for greater government transparency, and tackle daunting social and economic challenges facing their societies….Throughout this series we’ll be profiling and interviewing organisations working with open data worldwide, and providing do-it-yourself data tutorials that will be useful for beginners as well as data experts. …

What do we mean by the terms ‘open data’ and ‘closed societies’?

It’s important to be clear about what we’re dealing with, here. So let’s establish some key terms. When we talk about ‘open data’, we mean data that anyone can access, use and share freely. And when we say ‘closed societies’, we’re referring to states or regions in which the political and social environment is actively hostile to notions of openness and public scrutiny, and which hold principles of freedom of information in low esteem. In closed societies, data is either not published at all by the government, or else is only published in inaccessible formats, is missing data, is hard to find or else is just not digitised at all.

Iran is one such state that we would characterise as a ‘closed society’. At Small Media, we’ve had to confront the challenges of poor data practice, secrecy, and government opaqueness while undertaking work to support freedom of information and freedom of expression in the country. Based on these experiences, we’ve been working to build Iran Open Data — a civil society-led open data portal for Iran, in an effort to make Iranian government data more accessible and easier for researchers, journalists, and civil society actors to work with.

Iran Open Data — an open data portal for Iran, created by Small Media

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..Open & Shut will shine a light on the exciting new ways that different groups are using data to question dominant narratives, transform public opinion, and bring about tangible change in closed societies. At the same time, it’ll demonstrate the challenges faced by open data advocates in opening up this valuable data. We intend to get the community talking about the need to build cross-border alliances in order to empower the open data movement, and to exchange knowledge and best practices despite the different needs and circumstances we all face….(More)