Searching Big Data for ‘Digital Smoke Signals’


Steve Lohr in the New York Times: “It is the base camp of the United Nations Global Pulse team — a tiny unit inside an institution known for its sprawling bureaucracy, not its entrepreneurial hustle. Still, the focus is on harnessing technology in new ways — using data from social networks, blogs, cellphones and online commerce to transform economic development and humanitarian aid in poorer nations….

The efforts by Global Pulse and a growing collection of scientists at universities, companies and nonprofit groups have been given the label “Big Data for development.” It is a field of great opportunity and challenge. The goal, the scientists involved agree, is to bring real-time monitoring and prediction to development and aid programs. Projects and policies, they say, can move faster, adapt to changing circumstances and be more effective, helping to lift more communities out of poverty and even save lives.

Research by Global Pulse and other groups, for example, has found that analyzing Twitter messages can give an early warning of a spike in unemployment, price rises and disease. Such “digital smoke signals of distress,” Mr. Kirkpatrick said, usually come months before official statistics — and in many developing countries today, there are no reliable statistics.

Finding the signals requires data, though, and much of the most valuable data is held by private companies, especially mobile phone operators, whose networks carry text messages, digital-cash transactions and location data. So persuading telecommunications operators, and the governments that regulate and sometimes own them, to release some of the data is a top task for the group. To analyze the data, the groups apply tools now most widely used for pinpointing customers with online advertising.”

Can We Build A Kickstarter For Cancer?


Paul Howard in Forbes: “tarting you own band, writing your first novel, or re-publishing your favorite ‘80s tabletop RPG are all cool goals. You can do them all on Kickstarter. What would be cooler?
How about funding a virtual biotech company with one goal: Saving or extending the life of a cancer patient who doesn’t respond to “standard of care” treatments….
The Cancer Commons approach – a distributed framework for empowering patients and learning from every patient/treatment combination – breaks down traditional distinctions between clinical trials and patient treatment in the “real world.” Instead of developing treatments in a lab and then testing them on randomized patients in clinical trials (designed to benefit future patients), researchers would apply the latest scientific knowledge and tools to help each patient achieve the best possible outcome today based on what we know – or think we can predict – about a molecular subtype of cancer….
We’ll need more than money to power a Kickstarter-for-cancer movement. We’ll need to encourage companies – from Big Pharma to “small” biotechs – to participate in distributed, Bayesian trials where new biomarkers or combinations of biomarkers are tested in patients with particular molecular profiles. And the FDA is going to have to be convinced that the system is going to generate high quality data that benefits patients, not sell them snake-oil cures.
In return for companies making their compound libraries and experimental drugs available for the “virtual biotechs” launched by cancer patients and their families, there should be a regulatory path established to take the most promising drugs and drug combinations to market.”

The Charitable-Industrial Complex


Peter Buffett in the New York Times: “It’s time for a new operating system. Not a 2.0 or a 3.0, but something built from the ground up. New code.

What we have is a crisis of imagination. Albert Einstein said that you cannot solve a problem with the same mind-set that created it. Foundation dollars should be the best “risk capital” out there.

There are people working hard at showing examples of other ways to live in a functioning society that truly creates greater prosperity for all (and I don’t mean more people getting to have more stuff).

Money should be spent trying out concepts that shatter current structures and systems that have turned much of the world into one vast market. Is progress really Wi-Fi on every street corner? No. It’s when no 13-year-old girl on the planet gets sold for sex. But as long as most folks are patting themselves on the back for charitable acts, we’ve got a perpetual poverty machine.

It’s an old story; we really need a new one.”

Why Contests Improve Philantropy


New Report from the Knight Foundation: “Since 2007, Knight Foundation has run or funded nearly a dozen open contests, many over multiple years, choosing some 400 winners from almost 25,000 entries, and granting more than $75 million to individuals, businesses, schools and nonprofits. The winners believe, as we do, that democracy thrives when people and communities are informed and engaged. The contests reflect the full diversity of our program areas: journalism and media innovation, engaging communities and fostering the arts. Over the past seven years, we have learned a lot about how good contests work, what they can do, and what the challenges are. Though contests represent less than 20 percent of our grant-making, they have improved our traditional programs in myriad ways.
A 2009 McKinsey & Company Report, “And the winner is…, ” put it this way: “Every leading philanthropist should consider the opportunity to use prizes to help achieve their mission, and to accept the challenge of fully exploiting this powerful tool. ” But of America ‘s more than 76,000 grant-making foundations, only a handful, maybe 100 at most, have embraced the use of contests. That means 99.9 percent do not.
Sharing these lessons here is an invitation to others to consider how contests, when appropriate, might widen their networks, deepen the work they already do, and broaden their definition of philanthropic giving.
Before you launch and manage your own contests, you might want to consider the six major lessons we ‘ve learned about how contests improved our philanthropy.
1. They bring in new blood and new ideas.
2. They create value beyond the winners.
3. They help organizations spot emerging trends.
4. They challenge routines and entrenched foundation behaviors. 
5. They complement existing philanthropy strategies.
6. They create new ways to engage communities.
…Depending upon the competition, the odds of winning one of Knight’s contests are, at their lowest, one in six, and at their highest, more than one in 100. But if you think of your contest only as a funnel spitting out a handful of winning ideas, you overlook what’s really happening. A good contest is more a megaphone for a cause.”

Feedback Labs


Feedback Labs: FeedBackLabs_circleLogo_HiRes100pxIf you find yourself asking the following three questions, then you have come to the right place:

  1. “What do citizens want?”
  2. “Are they getting it?”
  3. “If not, how will things change?”

Much excellent work has been done over recent years to answer the first and second questions. Our goal is to catalyze that work and make it matter by focusing on the third question – “How will things change?”
Aid, philanthropy, and government programs are often designed, implemented and evaluated by experts.  We think that citizens should increasingly be in the driver’s seat.  Experts are still important, but in many cases their role needs to shift from being a decision-maker to being people who enrich and inform conversations among citizens.

What will Feedback Labs do?

Based on what we have heard so far, we think we can add value in three ways:

  • Frame the issues – for example, what exactly do we mean by feedback loops? What works and what doesn’t? What is the evidence for impact?
  • Help close the feedback loop – uncover approaches that are succeeding at finding out what people want and whether they are getting it, and then helping to close the loop by understanding (and in some cases funding) what it takes to translate citizen voice into real changes in programs.
  • Facilitate mainstreaming ­– i.e., assist aid, philanthropy and government organizations adopt feedback loops in their normal course of operation. We want to make feedback loops the norm rather than the exception.

Historically we have often assumed that the flow of knowledge is from the richer countries to the poorer.  But learning goes both ways, and in the case of feedback loops, some of the most innovative approaches are being pioneered in developing countries.  So we plan to support work both internationally and domestically.”

Accountability.Org: Online Disclosure by Nonprofits


Paper by Joannie Tremblay-Boire and Aseem Prakash: “Why do some nonprofits signal their accountability via unilateral website disclosures? We develop an Accountability Index to examine the websites of 200 U.S. nonprofits ranked by the Chronicle of Philanthropy. We expect nonprofits’ incentives for website disclosures will be shaped by their organizational and sectoral characteristics. Our analysis suggests that nonprofits appearing frequently in the media disclose more accountability information while nonprofits larger in size disclose less. Religion-related nonprofits tend to disclose less information, suggesting that religious bonding enhances trust and reduce incentives for self-disclosure. Health nonprofits disclose less information, arguably because government-mandated disclosures reduce marginal benefits from voluntary disclosures. Education nonprofits, on the other hand, tend to disclose more accountability information perhaps because they supply credence goods. This research contributes to the emerging literature on websites as accountability mechanisms by developing a new index for scholars to use and proposing new hypotheses based on the corporate social responsibility literature.”

Why the Share Economy is Important for Disaster Response and Resilience


Patrick Meier at iRevolution: “A unique and detailed survey funded by the Rockefeller Foundation confirms the important role that social and community bonds play vis-à-vis disaster resilience. The new study, which focuses on resilience and social capital in the wake of Hurricane Sandy, reveals how disaster-affected communities self-organized, “with reports of many people sharing access to power, food and water, and providing shelter.” This mutual aid was primarily coordinated face-to-face. This may not always be possible, however. So the “Share Economy” can also play an important role in coordinating self-help during disasters….
In a share economy, “asset owners use digital clearinghouses to capitalize the unused capacity of things they already have, and consumers rent from their peers rather than rent or buy from a company”. During disasters, these asset owners can use the same digital clearinghouses to offer what they have at no cost. For example, over 1,400 kindhearted New Yorkers offered free housing to people heavily affected by the hurricane. They did this using AirBnB, as shown in the short video above. Meanwhile, on the West Coast, the City of San Francisco has just lunched a partnership with BayShare, a sharing economy advocacy group in the Bay Area. The partnership’s goal is to “harness the power of sharing to ensure the best response to future disasters in San Francisco”

https://web.archive.org/web/2000/https://www.youtube.com/watch?v=vIWxAWRq4t0

Siri’s Creators Demonstrate an Assistant That Takes the Initiative


Rachel Metz  in MIT Technology Review: “In a small, dark, room off a long hallway within a sprawling complex of buildings in Silicon Valley, an array of massive flat-panel displays and video cameras track Grit Denker’s every move. Denker, a senior computer scientist at the nonprofit R&D institute SRI, is showing off Bright, an intelligent assistant that could someday know what information you need before you even ask.
Initially, Bright is meant to cut down on the cognitive overload faced by workers in high-stress, data-intensive jobs like emergency response and network security. Bright may, for instance, aid network administrators in trying to stop the spread of a fast-moving virus by quickly providing crucial infection information, or help 911 operators send the right kind of assistance to the scene of an accident. But like many other technologies developed at SRI, such as the digital personal assistant Siri (now owned by Apple), Bright could eventually trickle down to laptops and smartphones. It might take the form of software that automatically brings up listings for your favorite shows when it thinks you’re about to sit down and watch TV, or searches the Web for information relevant to your latest research project without requiring you to lift a finger….
Denker describes Bright as a “cognitive desktop” and “a desktop that really understands what you’re doing, and not just for you, but also in a collaborative setting for people….There’s a long way to go, however. The system is currently focused on “cognitive indexing”—the mechanism that ties various clues together and then tries to predict what is important.”

Why Big Data Is Not Truth


Quentin Hardy in the New York Times: “Kate Crawford, a researcher at Microsoft Research, calls the problem “Big Data fundamentalism — the idea with larger data sets, we get closer to objective truth.” Speaking at a conference in Berkeley, Calif., on Thursday, she identified what she calls “six myths of Big Data.”
Myth 1: Big Data is New
In 1997, there was a paper that discussed the difficulty of visualizing Big Data, and in 1999, a paper that discussed the problems of gaining insight from the numbers in Big Data. That indicates that two prominent issues today in Big Data, display and insight, had been around for awhile…..
Myth 2: Big Data Is Objective
Over 20 million Twitter messages about Hurricane Sandy were posted last year. … “These were very privileged urban stories.” And some people, privileged or otherwise, put information like their home addresses on Twitter in an effort to seek aid. That sensitive information is still out there, even though the threat is gone.
Myth 3: Big Data Doesn’t Discriminate
“Big Data is neither color blind nor gender blind,” Ms. Crawford said. “We can see how it is used in marketing to segment people.” …
Myth 4: Big Data Makes Cities Smart
…, moving cities toward digital initiatives like predictive policing, or creating systems where people are seen, whether they like it or not, can promote lots of tension between individuals and their governments.
Myth 5: Big Data Is Anonymous
A study published in Nature last March looked at 1.5 million phone records that had personally identifying information removed. It found that just four data points of when and where a call was made could identify 95 percent of individuals. …
Myth 6: You Can Opt Out
… given the ways that information can be obtained in these big systems, “what are the chances that your personal information will never be used?”
Before Big Data disappears into the background as another fact of life, Ms. Crawford said, “We need to think about how we will navigate these systems. Not just individually, but as a society.”

CrowdingIn


CrowdingINA crowdfunding directory by UK’s Nesta…: “Crowdfunding, the method of sourcing funds from large numbers of people, has been growing quickly worldwide in recent years and has the potential to revolutionise the world of finance, creating new opportunities to fund everything from new products and businesses to community projects. As the market grows, so too does the number of sites (or ‘platforms’) that facilitate the exchange between the crowd of funders and those seeking finance. To help you find the platform most suited to your financing needs, this directory lists information on those platforms currently open to fundraising from individuals and businesses in the UK.”