Beyond IRBs: Designing Ethical Review Processes for Big Data Research


Conference Proceedings by Future of Privacy Forum: “The ethical framework applying to human subject research in the biomedical and behavioral research fields dates back to the Belmont Report.Drafted in 1976 and adopted by the United States government in 1991 as the Common Rule, the Belmont principles were geared towards a paradigmatic controlled scientific experiment with a limited population of human subjects interacting directly with researchers and manifesting their informed consent. These days, researchers in academic institutions as well as private sector businesses not subject to the Common Rule, conduct analysis of a wide array of data sources, from massive commercial or government databases to individual tweets or Facebook postings publicly available online, with little or no opportunity to directly engage human subjects to obtain their consent or even inform them of research activities.

Data analysis is now used in multiple contexts, such as combatting fraud in the payment card industry, reducing the time commuters spend on the road, detecting harmful drug interactions, improving marketing mechanisms, personalizing the delivery of education in K-12 schools, encouraging exercise and weight loss, and much more. And companies deploy data research not only to maximize economic gain but also to test new products and services to ensure they are safe and effective. These data uses promise tremendous societal benefits but at the same time create new risks to privacy, fairness, due process and other civil liberties.

Increasingly, corporate officers find themselves struggling to navigate unsettled social norms and make ethical choices that are more befitting of philosophers than business managers or even lawyers. The ethical dilemmas arising from data analysis transcend privacy and trigger concerns about stigmatization, discrimination, human subject research, algorithmic decision making and filter bubbles.

The challenge of fitting the round peg of data-focused research into the square hole of existing ethical and legal frameworks will determine whether society can reap the tremendous opportunities hidden in the data exhaust of governments and cities, health care institutions and schools, social networks and search engines, while at the same time protecting privacy, fairness, equality and the integrity of the scientific process. One commentator called this “the biggest civil rights issue of our time.”…(More)”

Iran’s Civic Tech Sector


Leah Hunter at Forbes: “This is the story of Firuzeh Mahmoudi, founder of United4Iran and Irancubator, the first civic tech-focused startup incubator in Iran. She is also a creator of civil justice apps and a businessperson. Her business? Creating social good in a country she loves.

“Our mission is to improve civil liberties in Iran, and we do that in three ways,” says Mahmoudi, 45, who spent four years working for the United Nations in countries across the world as an international project coordinator before becoming a founder….

Mahmoudi realized that there wasn’t anyone focused on apps made for civic engagement inside Iran, so she built a team to create Irancubator. She works with 30 consultants and partners in the Iranian-American community. She also has a staff of 10 in her San Francisco Bay Area office—most of whom are Iranian, and were still in the country until 2009. “I really worked hard in bringing in resilient people…people who are smart, creative, kind. It’s so important to be kind. How you do the work, and how you show up, is that critical. If you try to make the world a better place, you’d better be nice. If you want to make the government be nicer, you’d better be nice, too.”

She and her team, based in the San Francisco Bay Area are creating apps like the Iran Prison Atlas – a database of all the country’s political prisoners, the judges who sentenced them and the prisons where they’re held. “We believe how these people are treated is a litmus test for our country,” Mahmoudi explains.

They are building an app women can use to track their ovulation cycles and periods. It also acts as a Trojan horse; as you dig deeper, it includes all sorts of information on women’s rights, including how to have equal rights in a marriage. (In Iran, divorce rights for women—as well as the right to equal custody of their children afterward—require a document signed before the wedding ceremony.) “This one’s not specifically targeting the richer women who are living in Northern Tehran. It’s an app that aims to engage people who live in rural areas, or not be as well-off or educated or perhaps more conservative or religious,” Mahmoudi explains. “Once you get in the app, you realize there are other parts. They include information on one’s rights as a woman in a marriage. Or basic concepts that may be completely foreign to them. Like maybe say, “Hey, do you know there’s a concept called ‘marital rape’? Even if someone’s your husband, they can’t treat you this way.”…

Right now, Irancubator is building a dozen apps. The first is launching in late January. Named RadiTo, this app works similarly to YouTube, but for radio instead of TV, allowing people in Iran to broadcast channels about the topics they care about. Someone can create a channel about LGBT rights or about children and education in their language. “Whatever they want—they can have a secure, safe platform to broadcast their message,” Mahmoudi explains.

From an operational perspective, this isn’t easy. Mahmoudi and her staff aren’t just building a startup. They’re operating from the other side of the world, working for users with whom they cannot directly communicate.  “Any startup is challenging and has so many hurdles. For us, it’s another level, working with so many security challenges,” says Mahmoudi….

The biggest challenge of all: they cannot go back to Iran. “The Islamic Republic coined me as an anti-revolutionary fugitive in one of their articles,” Mahmoudi says. “Half of my staff are refugees who got out.”…(More).

Could Technology Remove the Politicians From Politics?


Sue Brideshead at Motherboard: “The tech industry has talked long and hard about democratizing industries. Democratizing content, democratizing taxi-cabs, and democratizing bed and breakfasts. But what about democratizing democracy?

Disruption is the word of the moment in Washington, thanks to an incoming president who counts his inexperience in government as an asset. It remains to be seen what kind of disruption Trump will bestow upon the White House, but efforts at disruption from the technology world have refined and chipped at only the topmost layer of inefficiencies. Mark Zuckerberg has poured cash into a broken school district; programmers have toyed with ways to secure digital ballots; and analysts have sought (and failed) to hone the political poll. The team of engineers Barack Obama lured to Washington has been tasked with fixing podunk websites and backend systems. But what they have failed to identify as a problem is the very system that elected their boss. Because beyond the topmost layer of government gunk lies a broad and broken structure: the idea of representation itself. In the era of the internet, the very premise of sending a man to Washington or a woman to city council is badly in need of an upgrade.

The idea of a political representative evolved out of necessity. Townspeople couldn’t afford to take a day off and ride a horse to the capital. They needed to agree upon one guy who would more or less say what they were thinking, and they voted to pick the right guy for the job.

Horses became model T’s became jets flying politicians from their constituencies to the District of Columbia, ostensibly to have an ear to the ground in their home state and a hand to the buzzers on the Senate floor. But travel—and voter awareness—requires cash that drives up the price of running for office.

The Republican President-elect scored votes by calling Washington “corrupt” and “criminal,” “rigged” and “stagnant,” but “quaint” is the first adjective I think of. In the era of the iPhone, sending a man or woman to Washington to “represent” a district back home can feel about as forward-thinking as sending an intern to Amazon headquarters to pick up the new DeLillo. Why do congressional offices read bills in hard-copy, in private, while their constituents draft their work in Google Docs? Why does a senator have to stand on the Senate floor to hear arguments or to vote, when her constituents watch proceedings on C-Span and vote for which Game of Thrones heroine her hair most resembles on BuzzFeed?..

….The price of running for office is now astronomical, literally; a New Hampshire senate race tops the cost of sending your satellite to low earth orbit with SpaceX’s rocket…But the most disturbing fact of our Republic is an upsurge of anti-intellectual rhetoric. An ongoing protest of California’s default direct democracy—its barrage of referendums—is fueled by the disturbing fact that voters are likely to base their decision on a television advertisement. Referendum protesters rightly note that a system reliant on advertising hardly cuts money out of politics or ensures an informed electorate. But the premise of this protest rests on the assumption that a Representative is more informed than a television advertisement; that a Representative makes decisions by speaking with experts, using paid time and expertise…

…Fixing an existing problem with new technology often fuels new and terrifying questions. Displacing power simply raises the same questions of control and ownership in new places. For example, even without the risk of politicians becoming susceptible to lobbyists, voters could still be influenced by special interest groups that can afford to bombard voters with their message. But by distributing the power for change among the electorate, a direct democracy model would effectively make lobbying efforts much more expensive and inefficient….

…What I do know: our system is broken. Voters crave transparency, an end to political photo-ops, an end to the influence of television, of Facebook, a way to flush the lobbyists out of Washington and drag the cash out of politicians’ pockets. As a citizenry, we hold relatively little power to destroy lobbying; to reform pay-to-play; to transform the media industries; re-engineer Facebook, or temper the bad behavior of the wealthy and powerful. But our new technologies also mean that there’s one central component we might have the power to remove from government completely: the politicians. (More)”

Open innovation in the public sector: A research agenda


Atreyi Kankanhalli et al in Government Information Quarterly: “New models of innovation are emerging in the marketplace and these are rapidly replacing traditional corporate research labs as the sole source of new ideas, new technologies, and new practices. This trend is being fueled by the ready availability of venture capital, and more importantly, by the ubiquitous presence of information technologies (IT) that are enabling firms to identify and foster new ideas from a myriad of knowledge sources, which could be geographically dispersed. This de-centralized and un-directed form of innovation, referred to as “open innovation”, is gaining traction both in the private and public sectors. In this guest editorial for the Special Issue on Open Innovation in the Public Sector, we first explore the diverse issues that are engendered when implementing open innovation in the public sector, and the IT that can facilitate such initiatives. Next, we highlight the fundamental differences in terms of focus, aim, value, and external stakeholders of open innovation in the private vs. public sectors. Last, we describe an agenda for research on open innovation in the public sector based on trends and gaps in the literature as seen from papers that were submitted to this special issue. Specifically, we suggest several useful directions for future research including conducting domain-specific studies, examining the use of tools beyond social media, and expanding the existing set of research methods and theoretical foundations….(More)”

 

Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World


Book by David Abernathy: “Big data is upon us. With the ‘internet of things’ now a reality, social scientists must get to grips with the complex network of location-based data in order to ask questions and address problems in an increasingly networked, globalizing world.

Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides for:

  • capturing Geodata from sources including GPS, sensor networks, and Twitter
  • visualizing Geodata using programmes including QGIS, GRASS and R

Packed with colour images and practical exercises, this book is the perfect guide for students and researchers looking to incorporate location-based data into their social science research….(More) (Companion Website)”

Socialbots and Their Friends: Digital Media and the Automation of Sociality


Socialbots and Their Friends: Digital Media and the Automation of Sociality (Paperback) book coverBook edited by Robert W. Gehl and Maria Bakardjieva: “Many users of the Internet are aware of bots: automated programs that work behind the scenes to come up with search suggestions, check the weather, filter emails, or clean up Wikipedia entries. More recently, a new software robot has been making its presence felt in social media sites such as Facebook and Twitter – the socialbot. However, unlike other bots, socialbots are built to appear human. While a weatherbot will tell you if it’s sunny and a spambot will incessantly peddle Viagra, socialbots will ask you questions, have conversations, like your posts, retweet you, and become your friend. All the while, if they’re well-programmed, you won’t know that you’re tweeting and friending with a robot.

Who benefits from the use of software robots? Who loses? Does a bot deserve rights? Who pulls the strings of these bots? Who has the right to know what about them? What does it mean to be intelligent? What does it mean to be a friend? Socialbots and Their Friends: Digital Media and the Automation of Sociality is one of the first academic collections to critically consider the socialbot and tackle these pressing questions….(More)”

 

Artificial Intelligence Could Help Colleges Better Plan What Courses They Should Offer


Jeffrey R. Young at EdSsurge: Big data could help community colleges better predict how industries are changing so they can tailor their IT courses and other programs. After all, if Amazon can forecast what consumers will buy and prestock items in their warehouses to meet the expected demand, why can’t colleges do the same thing when planning their curricula, using predictive analytics to make sure new degree or certificates programs are started just in time for expanding job opportunities?

That’s the argument made by Gordon Freedman, president of the nonprofit National Laboratory for Education Transformation. He’s part of a new center that will do just that, by building a data warehouse that brings together up-to-date information on what skills employers need and what colleges currently offer—and then applying artificial intelligence to attempt to predict when sectors or certain employment needs might be expanding.

He calls the approach “opportunity engineering,” and the center boasts some heavy-hitting players to assist in the efforts, including the University of Chicago, the San Diego Supercomputing Center and Argonne National Laboratory. It’s called the National Center for Opportunity Engineering & Analysis.

Ian Roark, vice president of workforce development at Pima Community College in Arizona, is among those eager for this kind of “opportunity engineering” to emerge.

He explains when colleges want to start new programs, they face a long haul—it takes time to develop a new curriculum, put it through an internal review, and then send it through an accreditor….

Other players are already trying to translate the job market into a giant data set to spot trends. LinkedIn sits on one of the biggest troves of data, with hundreds of millions of job profiles, and ambitions to create what it calls the “economic graph” of the economy. But not everyone is on LinkedIn, which attracts mainly those in white-collar jobs. And companies such as Burning Glass Technologies have scanned hundreds of thousands of job listings and attempt to provide real-time intelligence on what employers say they’re looking for. Those still don’t paint the full picture, Freedman argues, such as what jobs are forming at companies.

“We need better information from the employer, better information from the job seeker and better information from the college, and that’s what we’re going after,” Freedman says…(More)”.

Can you crowdsource water quality data?


Pratibha Mistry at The Water Blog (Worldbank): “The recently released Contextual Framework for Crowdsourcing Water Quality Data lays out a strategy for citizen engagement in decentralized water quality monitoring, enabled by the “mobile revolution.”

According to the WHO, 1.8 billion people lack access to safe drinking water worldwide. Poor source water quality, non-existent or insufficient treatment, and defects in water distribution systems and storage mean these consumers use water that often doesn’t meet the WHO’s Guidelines for Drinking Water Quality.

The crowdsourcing framework develops a strategy to engage citizens in measuring and learning about the quality of their own drinking water. Through their participation, citizens provide utilities and water supply agencies with cost-effective water quality data in near-real time. Following a typical crowdsourcing model: consumers use their mobile phones to report water quality information to a central service. That service receives the information, then repackages and shares it via mobile phone messages, websites, dashboards, and social media. Individual citizens can thus be educated about their water quality, and water management agencies and other stakeholders can use the data to improve water management; it’s a win-win.

A well-implemented crowdsourcing project both depends on and benefits end users.Source: Figure modified from Hutchings, M., Dev, A., Palaniappan, M., Srinivasan, V., Ramanathan, N., Taylor, J.  2012. “mWASH: Mobile Phone Applications for the Water, Sanitation, and Hygiene Sector.” Pacific Institute, Oakland, California.  114 p.  (Link to full text)

Several groups, from the private sector to academia to non-profits, have taken a recent interest in developing a variety of so-called mWASH apps (mobile phone applications for the water, sanitation, and hygiene WASH sector).  A recent academic study analyzed how mobile phones might facilitate the flow of water quality data between water suppliers and public health agencies in Africa. USAID has invested in piloting a mobile application in Tanzania to help consumers test their water for E. coli….(More)”

The Government Isn’t Doing Enough to Solve Big Problems with AI


Mike Orcutt at MIT Technology Review: “The government should play a bigger role in developing new tools based on artificial intelligence, or we could miss out on revolutionary applications because they don’t have obvious commercial upside.

That was the message from prominent AI technologists and researchers at a Senate committee hearing last week. They agreed that AI is in a crucial developmental moment, and that government has a unique opportunity to shape its future. They also said that the government is in a better position than technology companies to invest in AI applications aimed at broad societal problems.

Today just a few companies, led by Google and Facebook, account for the lion’s share of AI R&D in the U.S. But Eric Horvitz, technical fellow and managing director of Microsoft Research, told the committee members that there are important areas that are rich and ripe for AI innovation, such as homelessness and addiction, where the industry isn’t making big investments. The government could help support those pursuits, Horvitz said.

For a more specific example, take the plight of a veteran seeking information online about medical options, says Andrew Moore, dean of the school of computer science at Carnegie Mellon University. If an application that could respond to freeform questions, search multiple government data sets at once, and provide helpful information about a veteran’s health care options were commercially attractive, it might be available already, he says.

There is a “real hunger for basic research” says Greg Brockman, cofounder and chief technology officer of the nonprofit research company OpenAI, because technologists understand that they haven’t made the most important advances yet. If we continue to leave the bulk of it to industry, not only could we miss out on useful applications, but also on the chance to adequately explore urgent scientific questions about ethics, safety, and security while the technology is still young, says Brockman. Since the field of AI is growing “exponentially,” it’s important to study these things now, he says, and the government could make that a “top line thing that they are trying to get done.”….(More)”.

Too Much Democracy in All the Wrong Places: Toward a Grammar of Participation


Christopher M. Kelty at Current Anthropology: “Participation is a concept and practice that governs many aspects of new media and new publics. There are a wide range of attempts to create more of it and a surprising lack of theorization. In this paper I attempt to present a “grammar” of participation by looking at three cases where participation has been central in the contemporary moment of new, social media and the Internet as well as in the past, stretching back to the 1930s: citizen participation in public administration, workplace participation, and participatory international development. Across these three cases I demonstrate that the grammar of participation shifts from a language of normative enthusiasm to one of critiques of co-optation and bureaucratization and back again. I suggest that this perpetually aspirational logic results in the problem of “too much democracy in all the wrong places.”…(More)”