education

More African governments are enacting open data policies but still aren’t willing to share information

Curated on September 14, 2016July 19, 2019 by Stefaan Verhulst

Joshua Masinde at Quartz Africa: “Working as a data journalist and researcher in Uganda, Lydia Namubiru does not remember a moment she had an easy time accessing official government data in the execution of her work. She has had to literally beg for such information from officials with little success.

In June this year, she approached the Uganda Bureau of Statistics seeking a nationally representative sample of micro data from the country’s 2014 census. Despite frequent calls and emails, she is still waiting for the information from the bureau several months down the line….

It doesn’t have to be that way of course. In neighboring Kenya there’s much optimism there’ll be a different attitude to open data. Last month civil society activists and supporters of open data celebrated the government signing the Access to Information bill into law. It comes after many years of lobbying….

Despite well-earned reputations of authoritarianism and conservative attitudes to governance, it turns out more African governments are opening up to their citizens in the guise of espousing transparency and accountability in the conduct of their affairs.

However, in truth, a government saying it’s allowing citizens to access data or information is very different from the actual practice of enabling that access. For the most part, several governments’ open data initiatives often serve far more mundane purposes and may not be the data that citizens really want—the kind that potentially exposes corruption or laxity in public service…

“Countries that have embraced open data have seen real savings in public spending and improved efficiency in services. Nowhere is this more vital than in our nations – many of which face severe health and education crises,” Nnenna Nwakanma, Africa regional coordinator at World Wide Web Foundation,points out.

What is more prevalent now is what some open data advocates call ‘open washing’, which is described as a real threat to the open data movement according to the World Wide Web Foundation. By ‘open washing’, governments merely enact open data policies but do not follow through to full implementation. Others simply put in place strong freedom of information and right to information laws but do not really let the citizens take full advantage of the open data. This could, however, be as a result of institutional shortcomings, internal bureaucracies or lack of political will.

As the initiatives towards open data gather steam, challenges such as government agencies being unwilling to release official information as well as state bureaucracies are still prominent. Many governments are also only keen on releasing information that will not portray them as ‘naked’ but that which they feel will project them in positive light. But, as to whether laws will make governments more open, even with the information that citizens really need, is a matter of conjecture. For Namubiru, open data should be a culture that grows more subtly than by way of just passing laws for the sake of it.

“If they release enough packets of data on what they consider neutral or positive information, the storytellers will still be able to connect the dots.”…(More)”

What is being done with open government data?

Curated on September 8, 2016August 3, 2018 by Stefaan Verhulst

An exploratory analysis of public uses of New York City open data by Karen Okamoto in Webology: “In 2012, New York City Council passed legislation to make government data open and freely available to the public. By approving this legislation, City Council was attempting to make local government more transparent, accountable, and streamlined in its operations. It was also attempting to create economic opportunities and to encourage the public to identify ways in which to improve government and local communities. The purpose of this study is to explore public uses of New York City open data. Currently, more than 1300 datasets covering broad areas such as health, education, transportation, public safety, housing and business are available on the City’s Open Data Portal. This study found a plethora of maps, visualizations, tools, apps and analyses made by the public using New York City open data. Indeed, open data is inspiring a productive range of creative reuses yet questions remain concerning how useable the data is for users without technical skills and resources….(More)”

Discrimination by Design

Curated on September 8, 2016May 29, 2019 by Stefaan Verhulst

Lena Groeger at ProPublica: “A few weeks ago, Snapchat released a new photo filter. It appeared alongside many of the other such face-altering filters that have become a signature of the service. But instead of surrounding your face with flower petals or giving you the nose and ears of a Dalmatian, the filter added slanted eyes, puffed cheeks and large front teeth. A number of Snapchat users decried the filter as racist, saying it mimicked a “yellowface” caricature of Asians. The company countered that they meant to represent anime characters and deleted the filter within a few hours.

“Snapchat is the prime example of what happens when you don’t have enough people of color building a product,” wrote Bay Area software engineer Katie Zhu in an essay she wrote about deleting the app and leaving the service. In a tech world that hires mostly white men, the absence of diverse voices means that companies can be blind to design decisions that are hurtful to their customers or discriminatory.A Snapchat spokesperson told ProPublica that the company has recently hired someone to lead their diversity recruiting efforts.

A Snapchat spokesperson told ProPublica that the company has recently hired someone to lead their diversity recruiting efforts.

But this isn’t just Snapchat’s problem. Discriminatory design and decision-making affects all aspects of our lives: from the quality of our health care and education to where we live to what scientific questions we choose to ask. It would be impossible to cover them all, so we’ll focus on the more tangible and visual design that humans interact with every day.

You can’t talk about discriminatory design without mentioning city planner Robert Moses, whose public works projects shaped huge swaths of New York City from the 1930s through the 1960s. The physical design of the environment is a powerful tool when it’s used to exclude and isolate specific groups of people. And Moses’ design choices have had lasting discriminatory effects that are still felt in modern New York.

A notorious example: Moses designed a number of Long Island Parkway overpasses to be so low that buses could not drive under them. This effectively blocked Long Island from the poor and people of color who tend to rely more heavily on public transportation. And the low bridges continue to wreak havoc in other ways: 64 collisions were recorded in 2014 alone (here’s a bad one).

The design of bus systems, railways, and other forms of public transportation has a history riddled with racial tensions and prejudiced policies. In the 1990s the Los Angeles’ Bus Riders Union went to court over the racial inequity they saw in the city’s public transportation system. The Union alleged that L.A.’s Metropolitan Transportation Authority spent “a disproportionately high share of its resources on commuter rail services, whose primary users were wealthy non-minorities, and a disproportionately low share on bus services, whose main patrons were low income and minority residents.” The landmark case was settled through a court-ordered consent decree that placed strict limits on transit funding and forced the MTA to invest over $2 billion in the bus system.

Of course, the design of a neighborhood is more than just infrastructure. Zoning laws and regulations that determine how land is used or what schools children go to have long been used as a tool to segregate communities. All too often, the end result of zoning is that low-income, often predominantly black and Latino communities are isolated from most of the resources and advantages of wealthy white communities….(More)”

Website Provides Data, Tools for K-12 Educators

Curated on September 7, 2016May 29, 2019 by Stefaan Verhulst

US Census: “As many kids across the nation go back to school this month, we are excited to roll out a new U.S. Census Bureau program, “Statistics in Schools,” aimed at making a real and positive difference in American education….The new website provides data, tools and teacher-friendly activities to K-12 educators in math, history, and social studies as well as the newly added subjects of geography and sociology. We also doubled the number of tools on the website; resulting in more than 100 resources from which teachers can choose, including:

Maps and historical documents — historical and current maps as well as photos, cartoons and census records.
News articles — examples of census data applied to current events in the news. Videos — the importance of statistics and how data relates to students today.
Games — test your students’ knowledge in our population bracketology game.
Infographics and data visualizations — census data presented visually; many linked to a classroom activity.
Searchable data tools that reveal population statistics by sex, age, ethnicity and race.
Activities organized by grade, education standard and subject.
Information to help teachers explain the Census Bureau to students….

The next step in the program is perhaps the most exciting, as educators throughout the nation begin to leverage Statistics in Schools to enrich their curricula. I look forward to being on this journey with you and working toward improved statistical literacy for the next generation. Please stay in touch — we will be listening closely to learn what works, what could be improved, and how the Census Bureau can continue to help you….(More)”

For Quick Housing Data, Hit Craigslist

Curated on September 5, 2016August 3, 2018 by Stefaan Verhulst

Tanvi Misra at CityLab: “…housing researchers can use the Internet bulletin board for a more worthy purpose: as a source of fairly accurate, real-time data on the U.S. rental housing market.

A new paper in the Journal of Planning Education and Research analyzed 11 million Craigslist rental listings posted between May and July 2014 across the U.S. and found a treasure trove of information on regional and local housing trends. “Being able to track rental listings data from Craigslist is really useful for urban planners to take the pulse of [changing neighborhoods] much more quickly,” says Geoff Boeing, a researcher at University of California at Berkeley’s Urban Analytics Lab, who co-authored the paper with Paul Waddell, a Berkeley professor of planning and design.

Here are a couple of big takeaways from their deep dive down the CL rabbit hole:

Overall, Craigslist listings track with HUD data (except when they don’t)

The researchers compared median rents in different Craigslist domains (metropolitan areas, essentially) to the corresponding Housing and Urban Development median rents. In New Orleans and Oklahoma City, the posted and the official rents were very similar. But in other metros, they diverged significantly. In Las Vegas, for example, the Craigslist median rent was lower than the HUD median rent, but in New York, it was much, much higher.

“That’s important for local planners to be careful with because there are totally different cultures and ways that Craigslist is used in different cities,” Boeing explains. “The economies of the cities could very much affect how rentals are being posted. If they’re posting it higher [on Craigslist], they may negotiate down eventually. Or, if they’re posting it low, they could be expecting a bidding war with a bunch of tenants coming in.” …(More)”

Situation vacant: technology triathletes wanted

Curated on September 5, 2016May 29, 2019 by Stefaan Verhulst

Anne-Marie Slaughter in the Financial Times: “It is time to celebrate a new breed of triathletes, who work in technology. When I was dean in the public affairs school at Princeton, I would tell students to aim to work in the public, private and civic sectors over the course of their careers.

Solving public problems requires collaboration among government, business and civil society. Aspiring problem solvers need the culture and language of all three sectors and to develop a network of contacts in each.

The public problems we face, in the US and globally, require lawyers, economists and issue experts but also technologists. A lack of technologists capable of setting up HealthCare.gov, a website designed to implement the Affordable Care act, led President Barack Obama to create the US Digital Service, which deploys Swat tech teams to address specific problems in government agencies.

But functioning websites that deliver government services effectively are only the most obvious technological need for the public sector.

Government can reinvent how it engages with citizens entirely, for example by personalising public education with digital feedback or training jobseekers. But where to find the talent? The market for engineers, designers and project managers sees big tech companies competing for graduates from the world’s best universities.

Governments can offer only a fraction of those salaries, combined with a rigid work environment, ingrained resistance to innovation and none of the amenities and perks so dear to Silicon Valley .

Government’s comparative advantage, however, is mission and impact, which is precisely what Todd Park sells…Still, demand outstrips supply. ….The goal is to create an ecosystem for public interest technology comparable to that in public interest law. In the latter, a number of American philanthropists created role models, educational opportunities and career paths for aspiring lawyers who want to change the world.

That process began in the 1960s, and today every great law school has a public interest programme with scholarships for the most promising students. Many branches of government take on top law school graduates. Public interest lawyers coming out of government find jobs with think-tanks and advocacy organisations and take up research fellowships, often at the law schools that educated them. When they need to pay the mortgage or send their kids to college, they can work at large law firms with pro bono programmes….We need much more. Every public policy school at a university with a computer science, data science or technology design programme should follow suit. Every think-tank should also become a tech tank. Every non-governmental organisation should have at least one technologist on staff. Every tech company should have a pro bono scheme rewarding public interest work….(More)”

“Data-Driven Policy”: San Francisco just showed us how it should work.

Curated on September 5, 2016August 3, 2018 by Stefaan Verhulst

abhi nemani at Medium: “…Auto collisions with bikes (and also pedestrians) poses a real threat to the safety and wellbeing of residents. But more than temporary injuries, auto collisions with bikes and pedestrians can kill people. And it does at an alarming rate. According to the city, “Every year in San Francisco, about 30 people lose their lives and over 200 more are seriously injured while traveling on city streets.”…

Problem -> Data Analysis

The city government, in good fashion, made a commitment to do something about. But in better fashion, they decided to do so in a data-driven way. And they tasked the Department of Public Health in collaboration with theDepartment of Transportation to develop policy. What’s impressive is that instead of some blanket policy or mandate, they opted to study the problem,take a nuanced approach, and put data first.

The SF team ran a series of data-driven analytics to determine the causes of these collisions. They developed TransBase to continuously map and visualize traffic incidents throughout the city. Using this platform, then, they developed the “high injury network” — they key places where most problems happen; or as they put it, “to identify where the most investments in engineering, education and enforcement should be focused to have the biggest impact in reducing fatalities and severe injuries.” Turns out that, just12 percent of intersections result in 70% of major injuries. This is using data to make what might seem like an intractable problem, tractable….

Data Analysis -> Policy

So now what? Well, this month, Mayor Ed Lee signed an executive directive to challenge the city to implement these findings under the banner of“Vision Zero”: a goal of reducing auto/pedestrian/bike collision deaths to zero by 2024….

Fortunately, San Francisco took the next step: they put their data to work.

Policy -> Implementation

This week, the city of San Francisco announced plans to build its first“Protected Intersection”:

“Protected intersections use a simple design concept to make everyone safer.Under this configuration, features like concrete islands placed at the cornersslow turning cars and physically separate people biking and driving. They alsoposition turning drivers at an angle that makes it easier for them to see andyield to people walking and biking crossing their path.”

That’s apparently just the start: plans are underway for other intersections,protected bike lanes, and more. Biking and walking in San Francisco is about to become much safer. (Though maybe not easier: the hills — they’rethe worst.)

***

There is ample talk of “Data-Driven Policy” — indeed, I’ve written about it myself — but too often we get lost in the abstract or theoretical….(More)”

How Tech Giants Are Devising Real Ethics for Artificial Intelligence

Curated on September 1, 2016August 3, 2018 by Stefaan Verhulst

John Markoff in the New York Times: “For years, science-fiction moviemakers have been making us fear the bad things that artificially intelligent machines might do to their human creators. But for the next decade or two, our biggest concern is more likely to be that robots will take away our jobs or bump into us on the highway.

Now five of the world’s largest tech companies are trying to create a standard of ethics around the creation of artificial intelligence. While science fiction has focused on the existential threat of A.I. to humans,researchers at Google’s parent company, Alphabet, and those from Amazon,Facebook, IBM and Microsoft have been meeting to discuss more tangible issues, such as the impact of A.I. on jobs, transportation and even warfare.

Tech companies have long overpromised what artificially intelligent machines can do. In recent years, however, the A.I. field has made rapid advances in a range of areas, from self-driving cars and machines that understand speech, like Amazon’s Echo device, to a new generation of weapons systems that threaten to automate combat.

The specifics of what the industry group will do or say — even its name —have yet to be hashed out. But the basic intention is clear: to ensure thatA.I. research is focused on benefiting people, not hurting them, according to four people involved in the creation of the industry partnership who are not authorized to speak about it publicly.

The importance of the industry effort is underscored in a report issued onThursday by a Stanford University group funded by Eric Horvitz, a Microsoft researcher who is one of the executives in the industry discussions. The Stanford project, called the One Hundred Year Study onArtificial Intelligence, lays out a plan to produce a detailed report on the impact of A.I. on society every five years for the next century….The Stanford report attempts to define the issues that citizens of a typicalNorth American city will face in computers and robotic systems that mimic human capabilities. The authors explore eight aspects of modern life,including health care, education, entertainment and employment, but specifically do not look at the issue of warfare..(More)”

5 Crowdsourced News Platforms Shaping The Future of Journalism and Reporting

Curated on August 9, 2016August 20, 2018 by Stefaan Verhulst

Maria Krisette Capati at Crowdsourcing Week: “We are exposed to a myriad of news and updates worldwide. As the crowd becomes moreinvolved in providing information, adopting that ‘upload mindset’ coined by Will Merritt ofZooppa, access to all kinds of data is a few taps and clicks away….

Google News Lab – Better reporting and insightful storytelling

Last week, Google announced its own crowdsourced news platform dubbed News Lab as part of their efforts “to empower innovation at the intersection of technology and media.”

Scouting for real-time stories, updates, and breaking news is much easier and systematize for journalists worldwide. They can use Google’s tools for better reporting, data for insightful storytelling and programs to focus on the future of media, tackling this initiative in three ways.

“There’s a revolution in data journalism happening in newsrooms today, as more data sets and more tools for analysis are allowing journalists to create insights that were never before possible,” Google said.

Grasswire – first-hand information in real-time

The design looks bleak and simple, but the site itself is rich with content—first-hand information crowdsourced from Twitter users in real-time and verified. Austen Allred, co-founder of Grasswire was inspired to develop the platform after his “minor slipup” as the American Journalism Review (AJR) puts it, when he missed his train out of Shanghai that actually saved his life.

“The bullet train Allred was supposed to be on collided with another train in the Wenzhou area ofChina’s Zhejiang province,” AJR wrote. “Of the 1,630 passengers, 40 died, and another 210 were injured.” The accident happened in 2011. Unfortunately, the Chinese government made some cover upon the incident, which frustrated Allred in finding first-hand information.

After almost four years, Grasswire was launched, a website that collects real-time information from users for breaking news infused with crowdsourcing model afterward. “It’s since grown into a more complex interface, allowing users to curate selected news tweets by voting and verifying information with a fact-checking system,” AJR wrote, which made the verification of data open and systematized.

Rappler – Project Agos: a technology for disaster risk reduction

The Philippines is a favorite hub for typhoons. The aftermath of typhoon Haiyan was exceedingly disastrous. But the crowds were steadfast in uploading and sharing information and crowdsourcing became mainstream during the relief operations. Maria Ressa said that they had to educate netizens to use the appropriate hashtags for years (#nameoftyphoonPH, e.g. #YolandaPH) for typhoons to collect data on social media channels easily.

Education and preparation can mitigate the risks and save lives if we utilize the right technology and act accordingly. In her blog, After Haiyan: Crisis management and beyond, Maria wrote, “We need to educate not just the first responders and local government officials, but more importantly, the people in the path of the storms.” …

China’s CCDI app – Crowdsourcing political reports to crack down corruption practices

In China, if you want to mitigate or possible, eradicate corrupt practices, then there’s an app for that.China launched its own anti-corruption app called, Central Commission for Discipline InspectionWebsite App, allowing the public to upload text messages, photos and videos of Chinese officials’ any corrupt practices.

The platform was released by the government agency, Central Committee for Discipline Inspection.Nervous in case you’ll be tracked as a whistleblower? Interestingly, anyone can report anonymously.China Daily said, “the anti-corruption authorities received more than 1,000 public reports, and nearly70 percent were communicated via snapshots, text messages or videos uploaded,” since its released.Kenya has its own version, too, called Ushahidi using crowdmapping, and India’s I Paid a Bribe.

Newzulu – share news, publish and get paid

While journalists can get fresh insights from Google News Labs, the crowd can get real-time verified news from Grasswire, and CCDI is open for public, Newzulu crowdsourced news platforms doesn’t just invite the crowd to share news, they can also publish and get paid.

It’s “a community of over 150,000 professional and citizen journalists who share and break news to the world as it happens,” originally based in Sydney. Anyone can submit stories, photos, videos, and even stream live….(More)”

Make Algorithms Accountable

Curated on August 5, 2016August 3, 2018 by Stefaan Verhulst

Julia Angwin in The New York Times: “Algorithms are ubiquitous in our lives. They map out the best route to our destination and help us find new music based on what we listen to now. But they are also being employed to inform fundamental decisions about our lives.

Companies use them to sort through stacks of résumés from job seekers. Credit agencies use them to determine our credit scores. And the criminal justice system is increasingly using algorithms to predict a defendant’s future criminality.

Those computer-generated criminal “risk scores” were at the center of a recent Wisconsin Supreme Court decision that set the first significant limits on the use of risk algorithms in sentencing.

The court ruled that while judges could use these risk scores, the scores could not be a “determinative” factor in whether a defendant was jailed or placed on probation. And, most important, the court stipulated that a pre sentence report submitted to the judge must include a warning about the limits of the algorithm’s accuracy.

This warning requirement is an important milestone in the debate over how our data-driven society should hold decision-making software accountable.But advocates for big data due process argue that much more must be done to assure the appropriateness and accuracy of algorithm results.

An algorithm is a procedure or set of instructions often used by a computer to solve a problem. Many algorithms are secret. In Wisconsin, for instance,the risk-score formula was developed by a private company and has never been publicly disclosed because it is considered proprietary. This secrecy has made it difficult for lawyers to challenge a result.

The credit score is the lone algorithm in which consumers have a legal right to examine and challenge the underlying data used to generate it. In 1970,President Richard M. Nixon signed the Fair Credit Reporting Act. It gave people the right to see the data in their credit reports and to challenge and delete data that was inaccurate.

For most other algorithms, people are expected to read fine-print privacy policies, in the hopes of determining whether their data might be used against them in a way that they wouldn’t expect.

“We urgently need more due process with the algorithmic systems influencing our lives,” says Kate Crawford, a principal researcher atMicrosoft Research who has called for big data due process requirements.“If you are given a score that jeopardizes your ability to get a job, housing or education, you should have the right to see that data, know how it was generated, and be able to correct errors and contest the decision.”

The European Union has recently adopted a due process requirement for data-driven decisions based “solely on automated processing” that“significantly affect” citizens. The new rules, which are set to go into effect in May 2018, give European Union citizens the right to obtain an explanation of automated decisions and to challenge those decisions. However, since the European regulations apply only to situations that don’t involve human judgment “such as automatic refusal of an online credit application or e-recruiting practices without any human intervention,” they are likely to affect a narrow class of automated decisions. …More recently, the White House has suggested that algorithm makers police themselves. In a recent report, the administration called for automated decision-making tools to be tested for fairness, and for the development of“algorithmic auditing.”

But algorithmic auditing is not yet common. In 2014, Eric H. Holder Jr.,then the attorney general, called for the United States SentencingCommission to study whether risk assessments used in sentencing were reinforcing unjust disparities in the criminal justice system. No study was done….(More)”