Think Strategically About Prize Hosting


Charlie Brown & Robert Q. Benedict at Stanford Social Innovation Review: ” For many in the social sector, hosting a prize has become practically compulsory. But prizes have also proved divisive, sparking debates about their intended use, the value they provide, and the costs they incur. With so many conflicting perspectives, are there any guidelines to help decide whether a prize is worth pursuing?

We have spent more than a decade working with foundations, corporations, government agencies, and NGOs to design and host prizes; we’ve also observed dozens more competitions hosted by others and made our fair share of missteps along the way. The motivations behind prizes vary but generally cluster into one of two groups: awareness, an aim to raise the profile of an organization or issue area to generate momentum; and disruption, which incentivizes innovation, surfaces new solutions, or fundamentally changes an entrenched system.

Some organizations already have a solution in mind and use a prize to find the best partners for implementing it—more like an open request for proposals (open RFP) than an innovation search. We would categorize this sort of effort under the awareness rubric. Another large share of prizes, also overtly about awareness, are essentially marketing efforts, and lay the groundwork for future brand positioning and programmatic grants and activities. By contrast, disruption prizes seek the attention of highly focused experts to address a long-standing, difficult problem by drawing innovative solutions from the fringes of the field.

These motivations are legitimate and meaningful. But nearly all prizes use the language of innovation and disruption in their communications, to spark excitement and lend weight to the challenge being posed. This tendency can create potential problems by treating disparate goals—awareness versus disruption or even innovation—as equivalent and can lead organizations to use a counterproductive strategy for their needs. An awareness campaign that is marketed as an innovation prize, for example, risks alienating participants, who often invest enormous effort with the expectation of seeing their ideas, or those of a worthy competitor, implemented in a significant way.

Matching a host’s goal with the right kind of prize strategy is perhaps the most important, most ignored task that prize hosts face. A mismatch of intention and strategy can result in not only lackluster results but, more important, damaged trust with entrants and weakened credibility for the host….(More)”.

Google.gov


Adam J. White at New Atlantis: “Google exists to answer our small questions. But how will we answer larger questions about Google itself? Is it a monopoly? Does it exert too much power over our lives? Should the government regulate it as a public utility — or even break it up?

In recent months, public concerns about Google have become more pronounced. This February, the New York Times Magazine published “The Case Against Google,” a blistering account of how “the search giant is squelching competition before it begins.” The Wall Street Journal published a similar article in January on the “antitrust case” against Google, along with Facebook and Amazon, whose market shares it compared to Standard Oil and AT&T at their peaks. Here and elsewhere, a wide array of reporters and commentators have reflected on Google’s immense power — not only over its competitors, but over each of us and the information we access — and suggested that the traditional antitrust remedies of regulation or breakup may be necessary to rein Google in.

Dreams of war between Google and government, however, obscure a much different relationship that may emerge between them — particularly between Google and progressive government. For eight years, Google and the Obama administration forged a uniquely close relationship. Their special bond is best ascribed not to the revolving door, although hundreds of meetings were held between the two; nor to crony capitalism, although hundreds of people have switched jobs from Google to the Obama administration or vice versa; nor to lobbying prowess, although Google is one of the top corporate lobbyists.

Rather, the ultimate source of the special bond between Google and the Obama White House — and modern progressive government more broadly — has been their common ethos. Both view society’s challenges today as social-engineering problems, whose resolutions depend mainly on facts and objective reasoning. Both view information as being at once ruthlessly value-free and yet, when properly grasped, a powerful force for ideological and social reform. And so both aspire to reshape Americans’ informational context, ensuring that we make choices based only upon what they consider the right kinds of facts — while denying that there would be any values or politics embedded in the effort.

Addressing an M.I.T. sports-analytics conference in February, former President Obama said that Google, Facebook, and prominent Internet services are “not just an invisible platform, but they are shaping our culture in powerful ways.” Focusing specifically on recent outcries over “fake news,” he warned that if Google and other platforms enable every American to personalize his or her own news sources, it is “very difficult to figure out how democracy works over the long term.” But instead of treating these tech companies as public threats to be regulated or broken up, Obama offered a much more conciliatory resolution, calling for them to be treated as public goods:

I do think that the large platforms — Google and Facebook being the most obvious, but Twitter and others as well that are part of that ecosystem — have to have a conversation about their business model that recognizes they are a public good as well as a commercial enterprise.

This approach, if Google were to accept it, could be immensely consequential….(More)”.

On the Rise of FinTechs – Credit Scoring using Digital Footprints


NBER Working Paper by Tobias Berg, Valentin Burg, Ana Gombović and Manju Puri: “We analyze the information content of the digital footprint – information that people leave online simply by accessing or registering on a website – for predicting consumer default. Using more than 250,000 observations, we show that even simple, easily accessible variables from the digital footprint equal or exceed the information content of credit bureau (FICO) scores. Furthermore, the discriminatory power for unscorable customers is very similar to that of scorable customers. Our results have potentially wide implications for financial intermediaries’ business models, for access to credit for the unbanked, and for the behavior of consumers, firms, and regulators in the digital sphere….(More)”.

The Global Council on Extended Intelligence


“The IEEE Standards Association (IEEE-SA) and the MIT Media Lab are joining forces to launch a global Council on Extended Intelligence (CXI) composed of individuals who agree on the following:

One of the most powerful narratives of modern times is the story of scientific and technological progress. While our future will undoubtedly be shaped by the use of existing and emerging technologies – in particular, of autonomous and intelligent systems (A/IS) – there is no guarantee that progress defined by “the next” is beneficial. Growth for humanity’s future should not be defined by reductionist ideas of speed or size alone but as the holistic evolution of our species in positive alignment with the environmental and other systems comprising the modern algorithmic world.

We believe all systems must be responsibly created to best utilize science and technology for tangible social and ethical progress. Individuals, businesses and communities involved in the development and deployment of autonomous and intelligent technologies should mitigate predictable risks at the inception and design phase and not as an afterthought. This will help ensure these systems are created in such a way that their outcomes are beneficial to society, culture and the environment.

Autonomous and intelligent technologies also need to be created via participatory design, where systems thinking can help us avoid repeating past failures stemming from attempts to control and govern the complex-adaptive systems we are part of. Responsible living with or in the systems we are part of requires an awareness of the constrictive paradigms we operate in today. Our future practices will be shaped by our individual and collective imaginations and by the stories we tell about who we are and what we desire, for ourselves and the societies in which we live.

These stories must move beyond the “us versus them” media mentality pitting humans against machines. Autonomous and intelligent technologies have the potential to enhance our personal and social skills; they are much more fully integrated and less discrete than the term “artificial intelligence” implies. And while this process may enlarge our cognitive intelligence or make certain individuals or groups more powerful, it does not necessarily make our systems more stable or socially beneficial.

We cannot create sound governance for autonomous and intelligent systems in the Algorithmic Age while utilizing reductionist methodologies. By proliferating the ideals of responsible participant design, data symmetry and metrics of economic prosperity prioritizing people and the planet over profit and productivity, The Council on Extended Intelligence will work to transform reductionist thinking of the past to prepare for a flourishing future.

Three Priority Areas to Fulfill Our Vision

1 – Build a new narrative for intelligent and autonomous technologies inspired by principles of systems dynamics and design.

“Extended Intelligence” is based on the hypothesis that intelligence, ideas, analysis and action are not formed in any one individual collection of neurons or code…..

2 – Reclaim our digital identity in the algorithmic age

Business models based on tracking behavior and using outdated modes of consent are compounded by the appetites of states, industries and agencies for all data that may be gathered….

3 – Rethink our metrics for success

Although very widely used, concepts of exponential growth and productivity such as the gross domestic product (GDP) index are insufficient to holistically measure societal prosperity. … (More)”.

Blockchain Ethical Design Framework


Report by Cara LaPointe and Lara Fishbane: “There are dramatic predictions about the potential of blockchain to “revolutionize” everything from worldwide financial markets and the distribution of humanitarian assistance to the very way that we outright recognize human identity for billions of people around the globe. Some dismiss these claims as excessive technology hype by citing flaws in the technology or robustness of incumbent solutions and infrastructure.

The reality will likely fall somewhere between these two extremes across multiple sectors. Where initial applications of blockchain were focused on the financial industry, current applications have rapidly expanded to address a wide array of sectors with major implications for social impact.

This paper aims to demonstrate the capacity of blockchain to create scalable social impact and to identify the elements that need to be addressed to mitigate challenges in its application. We are at a moment when technology is enabling society to experiment with new solutions and business models. Ubiquity and global reach, increased capabilities, and affordability have made technology a critical tool for solving problems, making this an exciting time to think about achieving greater social impact. We can address issues for underserved or marginalized people in ways that were previously unimaginable.

Blockchain is a technology that holds real promise for dealing with key inefficiencies and transforming operations in the social sector and for improving lives. Because of its immutability and decentralization, blockchain has the potential to create transparency, provide distributed verification, and build trust across multiple systems. For instance, blockchain applications could provide the means for establishing identities for individuals without identification papers, improving access to finance and banking services for underserved populations, and distributing aid to refugees in a more transparent and efficient manner. Similarly, national and subnational governments are putting land registry information onto blockchains to create greater transparency and avoid corruption and manipulation by third parties.

From increasing access to capital, to tracking health and education data across multiple generations, to improving voter records and voting systems, blockchain has countless potential applications for social impact. As developers take on building these types of solutions, the social effects of blockchain can be powerful and lasting. With the potential for such a powerful impact, the design, application, and approach to the development and implementation of blockchain technologies have long-term implications for society and individuals.

This paper outlines why intentionality of design, which is important with any technology, is particularly crucial with blockchain, and offers a framework to guide policymakers and social impact organizations. As social media, cryptocurrencies, and algorithms have shown, technology is not neutral. Values are embedded in the code. How the problem is defined and by whom, who is building the solution, how it gets programmed and implemented, who has access, and what rules are created have consequences, in intentional and unintentional ways. In the applications and implementation of blockchain, it is critical to understand that seemingly innocuous design choices have resounding ethical implications on people’s lives.

This white paper addresses why intentionality of design matters, identifies the key questions that should be asked, and provides a framework to approach use of blockchain, especially as it relates to social impact. It examines the key attributes of blockchain, its broad applicability as well as its particular potential for social impact, and the challenges in fully realizing that potential. Social impact organizations and policymakers have an obligation to understand the ethical approaches used in designing blockchain technology, especially how they affect marginalized and vulnerable populations….(More)”

Can crowdsourcing scale fact-checking up, up, up? Probably not, and here’s why


Mevan Babakar at NiemanLab: “We foolishly thought that harnessing the crowd was going to require fewer human resources, when in fact it required, at least at the micro level, more.”….There’s no end to the need for fact-checking, but fact-checking teams are usually small and struggle to keep up with the demand. In recent months, organizations like WikiTribune have suggested crowdsourcing as an attractive, low-cost way that fact-checking could scale.

As the head of automated fact-checking at the U.K.’s independent fact-checking organization Full Fact, I’ve had a lot of time to think about these suggestions, and I don’t believe that crowdsourcing can solve the fact-checking bottleneck. It might even make it worse. But — as two notable attempts, TruthSquad and FactcheckEU, have shown — even if crowdsourcing can’t help scale the core business of fact checking, it could help streamline activities that take place around it.

Think of crowdsourced fact-checking as including three components: speed (how quickly the task can be done), complexity (how difficult the task is to perform; how much oversight it needs), and coverage (the number of topics or areas that can be covered). You can optimize for (at most) two of these at a time; the third has to be sacrificed.

High-profile examples of crowdsourcing like Wikipedia, Quora, and Stack Overflow harness and gather collective knowledge, and have proven that large crowds can be used in meaningful ways for complex tasks across many topics. But the tradeoff is speed.

Projects like Gender Balance (which asks users to identify the gender of politicians) and Democracy Club Candidates (which crowdsources information about election candidates) have shown that small crowds can have a big effect when it comes to simple tasks, done quickly. But the tradeoff is broad coverage.

At Full Fact, during the 2015 U.K. general election, we had 120 volunteers aid our media monitoring operation. They looked through the entire media output every day and extracted the claims being made. The tradeoff here was that the task wasn’t very complex (it didn’t need oversight, and we only had to do a few spot checks).

But we do have two examples of projects that have operated at both high levels of complexity, within short timeframes, and across broad areas: TruthSquad and FactCheckEU….(More)”.

When Technology Gets Ahead of Society


Tarun Khanna at Harvard Business Review: “Drones, originally developed for military purposes, weren’t approved for commercial use in the United States until 2013. When that happened, it was immediately clear that they could be hugely useful to a whole host of industries—and almost as quickly, it became clear that regulation would be a problem. The new technology raised multiple safety and security issues, there was no consensus on who should write rules to mitigate those concerns, and the knowledge needed to develop the rules didn’t yet exist in many cases. In addition, the little flying robots made a lot of people nervous.

Such regulatory, logistical, and social barriers to adopting novel products and services are very common. In fact, technology routinely outstrips society’s ability to deal with it. That’s partly because tech entrepreneurs are often insouciant about the legal and social issues their innovations birth. Although electric cars are subsidized by the federal government, Tesla has run afoul of state and local regulations because it bypasses conventional dealers to sell directly to consumers. Facebook is only now facing up to major regulatory concerns about its use of data, despite being massively successful with users and advertisers.

It’s clear that even as innovations bring unprecedented comfort and convenience, they also threaten old ways of regulating industries, running a business, and making a living. This has always been true. Thus early cars weren’t allowed to go faster than horses, and some 19th-century textile workers used sledgehammers to attack the industrial machinery they feared would displace them. New technology can even upend social norms: Consider how dating apps have transformed the way people meet.

Entrepreneurs, of course, don’t really care that the problems they’re running into are part of a historical pattern. They want to know how they can manage—and shorten—the period between the advent of a technology and the emergence of the rules and new behaviors that allow society to embrace its possibilities.

Interestingly, the same institutional murkiness that pervades nascent industries such as drones and driverless cars is something I’ve also seen in developing countries. And strange though this may sound, I believe that tech entrepreneurs can learn a lot from businesspeople who have succeeded in the world’s emerging markets.

Entrepreneurs in Brazil or Nigeria know that it’s pointless to wait for the government to provide the institutional and market infrastructure their businesses need, because that will simply take too long. They themselves must build support structures to compensate for what Krishna Palepu and I have referred to in earlier writings as “institutional voids.” They must create the conditions that will allow them to create successful products or services.

Tech-forward entrepreneurs in developed economies may want to believe that it’s not their job to guide policy makers and the public—but the truth is that nobody else can play that role. They may favor hardball tactics, getting ahead by evading rules, co-opting regulators, or threatening to move overseas. But in the long term, they’d be wiser to use soft power, working with a range of partners to co-create the social and institutional fabric that will support their growth—as entrepreneurs in emerging markets have done.…(More)”.

Why Do We Care So Much About Privacy?


Louis Menand in The New Yorker: “…Possibly the discussion is using the wrong vocabulary. “Privacy” is an odd name for the good that is being threatened by commercial exploitation and state surveillance. Privacy implies “It’s nobody’s business,” and that is not really what Roe v. Wade is about, or what the E.U. regulations are about, or even what Katz and Carpenter are about. The real issue is the one that Pollak and Martin, in their suit against the District of Columbia in the Muzak case, said it was: liberty. This means the freedom to choose what to do with your body, or who can see your personal information, or who can monitor your movements and record your calls—who gets to surveil your life and on what grounds.

As we are learning, the danger of data collection by online companies is not that they will use it to try to sell you stuff. The danger is that that information can so easily fall into the hands of parties whose motives are much less benign. A government, for example. A typical reaction to worries about the police listening to your phone conversations is the one Gary Hart had when it was suggested that reporters might tail him to see if he was having affairs: “You’d be bored.” They were not, as it turned out. We all may underestimate our susceptibility to persecution. “We were just talking about hardwood floors!” we say. But authorities who feel emboldened by the promise of a Presidential pardon or by a Justice Department that looks the other way may feel less inhibited about invading the spaces of people who belong to groups that the government has singled out as unpatriotic or undesirable. And we now have a government that does that….(More)”.

Data Stewards: Data Leadership to Address 21st Century Challenges


Post by Stefaan Verhulst: “…Over the last two years, we have focused on the opportunities (and challenges) surrounding what we call “data collaboratives.” Data collaboratives are an emerging form of public-private partnership, in which information held by companies (or other entities) is shared with the public sector, civil society groups, research institutes and international organizations. …

For all its promise, the practice of data collaboratives remains ad hoc and limited. In part, this is a result of the lack of a well-defined, professionalized concept of data stewardship within corporations that has a mandate to explore ways to harness the potential of their data towards positive public ends.

Today, each attempt to establish a cross-sector partnership built on the analysis of private-sector data requires significant and time-consuming efforts, and businesses rarely have personnel tasked with undertaking such efforts and making relevant decisions.

As a consequence, the process of establishing data collaboratives and leveraging privately held data for evidence-based policy making and service delivery is onerous, generally one-off, not informed by best practices or any shared knowledge base, and prone to dissolution when the champions involved move on to other functions.

By establishing data stewardship as a corporate function, recognized and trusted within corporations as a valued responsibility, and by creating the methods and tools needed for responsible data-sharing, the practice of data collaboratives can become regularized, predictable, and de-risked….

To take stock of current practice and scope needs and opportunities we held a small yet in-depth kick-off event at the offices of the Cloudera Foundation in San Francisco on May 8th 2018 that was attended by representatives from Linkedin, Facebook, Uber, Mastercard, DigitalGlobe, Cognizant, Streetlight Data, the World Economic Forum, and Nethope — among others.

Four Key Take Aways

The discussions were varied and wide-ranging.

Several reflected on the risks involved — including the risks of NOT sharing or collaborating on privately held data that could improve people’s lives (and in some occasions save lives).

Others warned that the window of opportunity to increase the practice of data collaboratives may be closing — given new regulatory requirements and other barriers that may disincentivize corporations from engaging with third parties around their data.

Ultimately four key take aways emerged. These areas — at the nexus of opportunities and challenges — are worth considering further, because they help us better understand both the potential and limitations of data collaboratives….(More)”

Blockchain in Cities


Report by Brooks Rainwater at the National League of Cities: “Public trust in American lawmakers (particularly at the national level), elections and democratic institutions has plummeted in recent years. While there are many contributing factors, the explosion of digital information, digital misinformation and outright abuse has played a major role in this downward trend.

To restore confidence in the core tenets of our society, leaders need solutions tailored to an increasingly digital world. Additionally, blockchain presents direct opportunities for cities — voting, real estate, transportation, energy, water management and more. The potential exists for local governments to utilize blockchain to lower costs, improve efficiency and create a framework to accelerate innovation, access and accountability in public management.

Blockchain is a shared database or distributed ledger, located permanently online for anything represented digitally, such as rights, goods and property. At its core, it is a secure, inalterable electronic register. Through enhanced trust, consensus and autonomy, blockchain brings widespread decentralization. This is a departure from the traditional role that centralized intermediaries or entities — such as banks — played to manage our valuable transfers. Its inherent transparency promotes relationships and builds confidence.

In the early days of the internet, few people could have predicted the magnitude of the disruption it would cause and the pivotal role it would play in globalization. Some experts say blockchain will potentially change the nature and security of all interactions of value. Because blockchain has large implications for individuals, it will have even larger ramifications for cities.

Here are seven key ways that cities can explore blockchain now:

  • Use blockchain to expand digital inclusion initiatives and help support the un- and under-banked.
  • Explore options for using blockchain in governance, procurement processes and business licensing.
  • Consider blockchain to increase civic engagement and offer additional pathways for voting.
  • Investigate how blockchain can help strengthen local alternative energy initiatives.
  • Prepare for the utilization of blockchain for digital transportation infrastructure needs as autonomous vehicles are more broadly deployed in cities.
  • While the benefits could be manifold, be cognizant of the potential for negative externalities that will need to be addressed and make sure that cities give themselves time to absorb each impact of introducing this technology.
  • Pay attention to what other cities have experienced and learned when it comes to blockchain. And above all, keep an open mind and be open to change. This new technology might just bring some unexpected yet very welcome benefits to your city and its residents….(More)”.