The Magic of “Multisolving”

Curated on Posted on by Stefaan Verhulst

Elizabeth Sawin at Stanford Social Innovation Review: “In Japan, manufacturing facilities use “green curtains”—living panels of climbing plants—to clean the air, provide vegetables for company cafeterias, and reduce energy use for cooling. A walk-to-school program in the United Kingdom fights a decline in childhood physical activity while reducing traffic congestion and greenhouse gas emissions from transportation. A food-gleaning program staffed by young volunteers and families facing food insecurity in Spain addresses food waste, hunger, and a desire for sustainability.

Each of these is a real-life example of what I call “multisolving”—where people pool expertise, funding, and political will to solve multiple problems with a single investment of time and money. It’s an approach with great relevance in this era of complex, interlinked, social and environmental challenges. But what’s the best formula for implementing projects that tackle many problems at once?

Climate Interactive, which uses systems analysis to help people address climate change, recently completed a year-long study of multisolving for climate and health. We learned there is no one-size-fits-all recipe, but we did identify three operating principles and three practices that showed up again and again in the projects we studied. What’s more, anyone wanting to access the power of cross-sectoral partnership can adopt them….(More)”.

How Charities Are Using Artificial Intelligence to Boost Impact

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Nicole Wallace at the Chronicle of Philanthropy: “The chaos and confusion of conflict often separate family members fleeing for safety. The nonprofit Refunite uses advanced technology to help loved ones reconnect, sometimes across continents and after years of separation.

Refugees register with the service by providing basic information — their name, age, birthplace, clan and subclan, and so forth — along with similar facts about the people they’re trying to find. Powerful algorithms search for possible matches among the more than 1.1 million individuals in the Refunite system. The analytics are further refined using the more than 2,000 searches that the refugees themselves do daily.

The goal: find loved ones or those connected to them who might help in the hunt. Since Refunite introduced the first version of the system in 2010, it has helped more than 40,000 people reconnect.

One factor complicating the work: Cultures define family lineage differently. Refunite co-founder Christopher Mikkelsen confronted this problem when he asked a boy in a refugee camp if he knew where his mother was. “He asked me, ‘Well, what mother do you mean?’ ” Mikkelsen remembers. “And I went, ‘Uh-huh, this is going to be challenging.’ ”

Fortunately, artificial intelligence is well suited to learn and recognize different family patterns. But the technology struggles with some simple things like distinguishing the image of a chicken from that of a car. Mikkelsen believes refugees in camps could offset this weakness by tagging photographs — “car” or “not car” — to help train algorithms. Such work could earn them badly needed cash: The group hopes to set up a system that pays refugees for doing such work.

“To an American, earning $4 a day just isn’t viable as a living,” Mikkelsen says. “But to the global poor, getting an access point to earning this is revolutionizing.”

Another group, Wild Me, a nonprofit created by scientists and technologists, has created an open-source software platform that combines artificial intelligence and image recognition, to identify and track individual animals. Using the system, scientists can better estimate the number of endangered animals and follow them over large expanses without using invasive techniques….

To fight sex trafficking, police officers often go undercover and interact with people trying to buy sex online. Sadly, demand is high, and there are never enough officers.

Enter Seattle Against Slavery. The nonprofit’s tech-savvy volunteers created chatbots designed to disrupt sex trafficking significantly. Using input from trafficking survivors and law-enforcement agencies, the bots can conduct simultaneous conversations with hundreds of people, engaging them in multiple, drawn-out conversations, and arranging rendezvous that don’t materialize. The group hopes to frustrate buyers so much that they give up their hunt for sex online….

A Philadelphia charity is using machine learning to adapt its services to clients’ needs.

Benefits Data Trust helps people enroll for government-assistance programs like food stamps and Medicaid. Since 2005, the group has helped more than 650,000 people access $7 billion in aid.

The nonprofit has data-sharing agreements with jurisdictions to access more than 40 lists of people who likely qualify for government benefits but do not receive them. The charity contacts those who might be eligible and encourages them to call the Benefits Data Trust for help applying….(More)”.

Big Data for the Greater Good

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Book edited by Ali Emrouznejad and Vincent Charles: “This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes….(More)”.

City-as-a-Service

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Circle Economy: Today during the WeMakeThe.City festival, Circle Economy launched the ‘City-as-a-Service’ publication, which offers a first glimpse into the ‘circular city of the future’. This publication is an initial and practical exploration of how service models will shape the way in which societal needs can be met in a future urban environment and how cities can take a leadership role in a transition towards a circular economy….

Housing, nutrition, mobility, and clothing are primary human needs and directly linked to material extraction. For each of these needs, Circle Economy has examined the potential impacts that service models can have.

By subscribing to a car-sharing service, for example, consumers are able to choose smaller, cheaper and more efficient cars when driving solo. In the Netherlands alone, this would save 2,200 kton of CO2 annually and will reduce annual spending on motoring by 10%. For textiles, a service model could potentially help us avoid “bad buys” that are never worn, which would result in a 15% cost saving for consumers and 23 kton of CO2 in the Netherlands. …

In an increasingly urban world, cities have to play a leading role to drive sustainable transitions and will lead the way on delivering the positive effects of a circular economy – and hence help to close the circularity gap. The circular economy offers a clear roadmap towards realizing the low-carbon, human-centered and prosperous circular city of the future. The ‘City-As-A-Service’ vision is a key next step into this promising future. Ultimately, service models could be a game changer for cities. In fact, city governments can influence this by providing the right boundary conditions and incentives in their policymaking…..(More)”.

4 reasons why Data Collaboratives are key to addressing migration

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Stefaan Verhulst and Andrew Young at the Migration Data Portal: “If every era poses its dilemmas, then our current decade will surely be defined by questions over the challenges and opportunities of a surge in migration. The issues in addressing migration safely, humanely, and for the benefit of communities of origin and destination are varied and complex, and today’s public policy practices and tools are not adequate. Increasingly, it is clear, we need not only new solutions but also new, more agile, methods for arriving at solutions.

Data are central to meeting these challenges and to enabling public policy innovation in a variety of ways. Yet, for all of data’s potential to address public challenges, the truth remains that most data generated today are in fact collected by the private sector. These data contains tremendous possible insights and avenues for innovation in how we solve public problems. But because of access restrictions, privacy concerns and often limited data science capacity, their vast potential often goes untapped.

Data Collaboratives offer a way around this limitation.

Data Collaboratives: A new form of Public-Private Partnership for a Data Age

Data Collaboratives are an emerging form of partnership, typically between the private and public sectors, but often also involving civil society groups and the education sector. Now in use across various countries and sectors, from health to agriculture to economic development, they allow for the opening and sharing of information held in the private sector, in the process freeing data silos up to serve public ends.

Although still fledgling, we have begun to see instances of Data Collaboratives implemented toward solving specific challenges within the broad and complex refugee and migrant space. As the examples we describe below suggest (which we examine in more detail Stanford Social Innovation Review), the use of such Collaboratives is geographically dispersed and diffuse; there is an urgent need to pull together a cohesive body of knowledge to more systematically analyze what works, and what doesn’t.

This is something we have started to do at the GovLab. We have analyzed a wide variety of Data Collaborative efforts, across geographies and sectors, with a goal of understanding when and how they are most effective.

The benefits of Data Collaboratives in the migration field

As part of our research, we have identified four main value propositions for the use of Data Collaboratives in addressing different elements of the multi-faceted migration issue. …(More)”,

Citizen-generated evidence for a more sustainable and healthy food system

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Research Report by Bill Vorley:  “Evidence generation by and with low-income citizens is particularly important if policy makers are to improve understanding of people’s diets and the food systems they use, in particular the informal economy. The informal food economy is the main route for low-income communities to secure their food, and is an important source of employment, especially for women and youth. The very nature of informality means that the realities of poor people’s lives are often invisible to policymakers. This invisibility is a major factor in exclusion and results in frequent mismatches between policy and local realities. This paper focuses on citizen-generated evidence as a means for defending and improving the food system of the poor. It clearly outlines a range of approaches to citizen-generated evidence including primary data collection and citizen access to and use of existing information….(More)”.

Mapping the economy in real time is almost ‘within our grasp’

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Delphine Strauss at the Financial Times: “The goal of mapping economic activity in real time, just as we do for weather or traffic, is “closer than ever to being within our grasp”, according to Andy Haldane, the Bank of England’s chief economist. In recent years, “data has become the new oil . . . and data companies have become the new oil giants”, Mr Haldane told an audience at King’s Business School …

But economics and finance have been “rather reticent about fully embracing this oil-rush”, partly because economists have tended to prefer a deductive approach that puts theory ahead of measurement. This needs to change, he said, because relying too much on either theory or real-world data in isolation can lead to serious mistakes in policymaking — as was seen when the global financial crisis exposed the “empirical fragility” of macroeconomic models.

Parts of the private sector and academia have been far swifter to exploit the vast troves of ever-accumulating data now available — 90 per cent of which has been created in the last two years alone. Massachusetts Institute of Technology’s “Billion Prices Project”, name-checked in Mr Haldane’s speech, now collects enough data from online retailers for its commercial arm to provide daily inflation updates for 22 economies….

The UK’s Office for National Statistics — which has faced heavy criticism over the quality of its data in recent years — is experimenting with “web-scraping” to collect price quotes for food and groceries, for example, and making use of VAT data from small businesses to improve its output-based estimates of gross domestic product. In both cases, the increased sample size and granularity could bring considerable benefits on top of existing surveys, Mr Haldane said.

The BoE itself is trying to make better use of financial data — for example, by using administrative data on owner-occupied mortgages to better understand pricing decisions in the UK housing market. Mr Haldane sees scope to go further with the new data coming on stream on payment, credit and banking flows. …New data sources and techniques could also help policymakers think about human decision-making — which rarely conforms with the rational process assumed in many economic models. Data on music downloads from Spotify, used as an indicator of sentiment, has recently been shown to do at least as well as a standard consumer confidence survey in tracking consumer spending….(More)”.

Prescription drugs that kill: The challenge of identifying deaths in government data

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Mike Stucka at Data Driven Journalism: “An editor at The Palm Beach Post printed out hundreds of pages of reports and asked a simple question that turned out to be weirdly complex: How many people were being killed by a prescription drug?

That question relied on version of a report that was soon discontinued by the U.S. Food and Drug Administration. Instead, the agency built a new web site that doesn’t allow exports or the ability to see substantial chunks of the data. So, I went to raw data files that were horribly formatted — and, before the project was over, the FDA had reissued some of those data files and taken most of them offline.

But I didn’t give up hope. Behind the data — known as FAERS, or FDA Adverse Event Reporting System — are more than a decade of data for suspected drug complications of nearly every kind. With multiple drugs in many reports, and multiple versions of many reports, the list of drugs alone comes to some 35 million reports. And it’s a potential gold mine.

How much of a gold mine? For one relatively rare drug, meant only for the worst kind of cancer pain, we found records tying the drug to more than 900 deaths. A salesman had hired a former exotic dancer and a former Playboy model to help sell the drug known as Subsys. He then pushed salesmen to up the dosage, John Pacenti and Holly Baltz found in their package, “Pay To Prescribe? The Fentanyl Scandal.”

FAERS has some serious limitations, but some serious benefits. The data can tell you why a drug was prescribed; it can tell you if a person was hospitalized because of a drug reaction, or killed, or permanently disabled. It can tell you what country the report came from. It’s got the patient age. It’s got the date of reporting. It’s got other drugs involved. Dosage. There’s a ton of useful information.

Now the bad stuff: There may be multiple reports for each actual case, as well as multiple versions of a single “case” ID….(More)”

Citizenship and democratic production

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Article by Mara Balestrini and Valeria Right in Open Democracy: “In the last decades we have seen how the concept of innovation has changed, as not only the ecosystem of innovation-producing agents, but also the ways in which innovation is produced have expanded. The concept of producer-innovation, for example, where companies innovate on the basis of self-generated ideas, has been superseded by the concept of user-innovation, where innovation originates from the observation of the consumers’ needs, and then by the concept of consumer-innovation, where consumers enhanced by the new technologies are themselves able to create their own products. Innovation-related business models have changed too. We now talk about not only patent-protected innovation, but also open innovation and even free innovation, where open knowledge sharing plays a key role.

A similar evolution has taken place in the field of the smart city. While the first smart city models prioritized technology left in the hands of experts as a key factor for solving urban problems, more recent initiatives such as Sharing City (Seoul), Co-city (Bologna), or Fab City (Barcelona) focus on citizen participation, open data economics and collaborative-distributed processes as catalysts for innovative solutions to urban challenges. These initiatives could prompt a new wave in the design of more inclusive and sustainable cities by challenging existing power structures, amplifying the range of solutions to urban problems and, possibly, creating value on a larger scale.

In a context of economic austerity and massive urbanization, public administrations are acknowledging the need to seek innovative alternatives to increasing urban demands. Meanwhile, citizens, harnessing the potential of technologies – many of them accessible through open licenses – are putting their creative capacity into practice and contributing to a wave of innovation that could reinvent even the most established sectors.

Contributive production

The virtuous combination of citizen participation and abilities, digital technologies, and open and collaborative strategies is catalyzing innovation in all areas. Citizen innovation encompasses everything, from work and housing to food and health. The scope of work, for example, is potentially affected by the new processes of manufacturing and production on an individual scale: citizens can now produce small and large objects (new capacity), thanks to easy access to new technologies such as 3D printers (new element); they can also take advantage of new intellectual property licenses by adapting innovations from others and freely sharing their own (new rule) in response to a wide range of needs.

Along these lines, between 2015 and 2016, the city of Bristol launched a citizen innovation program aimed at solving problems related to the state of rented homes, which produced solutions through citizen participation and the use of sensors and open data. Citizens designed and produced themselves temperature and humidity sensors – using open hardware (Raspberry Pi), 3D printers and laser cutters – to combat problems related to home damp. These sensors, placed in the homes, allowed to map the scale of the problem, to differentiate between condensation and humidity, and thus to understand if the problem was due to structural failures of the buildings or to bad habits of the tenants. Through the inclusion of affected citizens, the community felt empowered to contribute ideas towards solutions to its problems, together with the landlords and the City Council.

A similar process is currently being undertaken in Amsterdam, Barcelona and Pristina under the umbrella of the Making Sense Project. In this case, citizens affected by environmental issues are producing their own sensors and urban devices to collect open data about the city and organizing collective action and awareness interventions….

Digital social innovation is disrupting the field of health too. There are different manifestations of these processes. First, platforms such as DataDonors or PatientsLikeMe show that there is an increasing citizen participation in biomedical research through the donation of their own health data…. projects such as OpenCare in Milan and mobile applications like Good Sam show how citizens can organize themselves to provide medical services that otherwise would be very costly or at a scale and granularity that the public sector could hardly afford….

The production processes of these products and services force us to think about their political implications and the role of public institutions, as they question the cities’ existing participation and contribution rules. In times of sociopolitical turbulence and austerity plans such as these, there is a need to design and test new approaches to civic participation, production and management which can strengthen democracy, add value and take into account the aspirations, emotional intelligence and agency of both individuals and communities.

In order for the new wave of citizen production to generate social capital, inclusive innovation and well-being, it is necessary to ensure that all citizens, particularly those from less-represented communities, are empowered to contribute and participate in the design of cities-for-all. It is therefore essential to develop programs to increase citizen access to the new technologies and the acquisition of the knowhow and skills needed to use and transform them….(More)

This piece is an excerpt from an original article published as part of the eBook El ecosistema de la Democracia Abierta.

If, When and How Blockchain Technologies Can Provide Civic Change

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By Stefaan G. Verhulst and Andrew Young

The hype surrounding the potential of blockchain technologies– the distributed ledger technology (DLT) undergirding cryptocurrencies like Bitcoin – to transform the way industries and sectors operate and exchange records is reaching a fever pitch.

Gartner Hype Cycle

Source: Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017

Governments and civil society have now also joined the quest and are actively exploring the potential of DLTs to create transformative social change. Experiments are underway to leverage blockchain technologies to address major societal challenges – from homelessness in New York City to the Rohyingya crisis in Myanmar to government corruption around the world. At the same time, a growing backlash to the newest ‘shiny object’ in the technology for good space is gaining ground.   

At this year’s The Impacts of Civic Technology Conference (TICTeC), organized by mySociety in Lisbon, the GovLab’s Stefaan Verhulst and Andrew Young joined the Engine Room’s Nicole Anand, the Natural Resource Governance Institute’s Anders Pedersen, and ITS-Rio’s Marco Konopacki to consider whether or not Blockchain can truly deliver on its promise for creating civic change.

For the GovLab’s contribution to the panel, we shared early findings from our Blockchange: Blockchain for Social Change initiative. Blockchange, funded by the Rockefeller Foundation, seeks to develop a deeper understanding of the promise and practice of DLTs tin addressing public problems – with a particular focus on the lack, the role and the establishment of trusted identities – through a set of detailed case-studies. Such insights may help us develop operational guidelines on when blockchain technology may be appropriate and what design principles should guide the future use of DLTs for good.

Our presentation covered four key areas (Full presentation here):

  1. The evolving package of attributes present in Blockchain technologies: on-going experimentation, development and investment has lead to the realization that there is no one blockchain technology. Rather there are several variations of attributes that provide for different technological scenarios. Some of these attributes remain foundational -– such as immutability, (guaranteed) integrity, and distributed resilience – while others have evolved as optional including disintermediation, transparency, and accessibility. By focusing on the attributes we can transcend the noise that is emerging from having too many well funded start-ups that seek to pitch their package of attributes as the solution;Attributes of DLT
  2. The three varieties of Blockchain for social change use cases: Most of the pilots and use cases where DLTs are being used to improve society and people’s lives can be categorized along three varieties of applications:
    • Track and Trace applications. For instance: 
      1. Versiart creates verifiable, digital certificates for art and collectibles which helps buyers ensure each piece’s provenance.
      2. Grassroots Cooperative along with Heifer USA created a blockchain-powered app that allows every package of chicken marketed and sold by Grassroots to be traced on the Ethereum blockchain.
      3. Everledger works with stakeholders across the diamond supply chain to track diamonds from mine to store.
      4. Ripe is working with Sweetgreen to use blockchain and IoT sensors to track crop growth, yielding higher-quality produce and providing better information for farmers, food distributors, restaurants, and consumers.    
    • Smart Contracting applications. For instance:
      1. In Indonesia, Carbon Conservation and Dappbase have created smart contracts that will distribute rewards to villages that can prove the successful reduction of incidences of forest fires.
      2. Alice has built Ethereum-based smart contracts for a donation project that supports 15 homeless people in London. The smart contracts ensure donations are released only when pre-determined project goals are met.
      3. Bext360 utilizes smart contracts to pay coffee farmers fairly and immediately based on a price determined through weighing and analyzing beans by the Bext360 machine at the source.  
    • Identity applications. For instance:
      1. The State of Illinois is working with Evernym to digitize birth certificates, thus giving individuals a digital identity from birth.
      2. BanQu creates an economic passport for previously unbanked populations by using blockchain to record economic and financial transactions, purchase goods, and prove their existence in global supply chains.
      3. In 2015, AID:Tech piloted a project working with Syrian refugees in Lebanon to distribute over 500 donor aid cards that were tied to non-forgeable identities.
      4. uPort provides digital identities for residents of Zug, Switzerland to use for governmental services.

Three Blockchange applications

  1. The promise of trusted Identity: the potential to establish a trusted identity turns out to be foundational for using blockchain technologies for social change. At the same time identity emerges from a process (involving, for instance, provisioning, authentication, administration, authorization and auditing) and it is key to assess at what stage of the ID lifecycle DLTs provide an advantage vis-a-vis other ID technologies; and how the maturity of the blockchain technology toward addressing the ID challenge. 

ID Lifecycle and DLT

  1. Finally, we seek to translate current findings into
    • Operational conditions that can enable the public and civic sector at-large to determine when “to blockchain” including:
      • The need for a clear problem definition (as opposed to certain situations where DLT solutions are in search of a problem);
      • The presence of information asymmetries and high transaction costs incentivize change. (“The Market of Lemons” problem);
      • The availability of (high quality) digital records;
      • The lack of availability of credible and alternative disclosure technologies;
      • Deficiency (or efficiency) of (trusted) intermediaries in the space.
    • Design principles that can increase the likelihood of societal benefit when using Blockchain for identity projects (see picture) .

Design Principles

In the coming months, we will continue to share our findings from the Blockchange project in a number of forms – including a series of case studies, additional presentations and infographics, and an operational field guide for designing and implementing Blockchain projects to address challenges across the identity lifecycle.

The GovLab, in collaboration with the National Resource Governance Institute, is also delighted to announce a new initiative aimed at taking stock of the promise, practice and challenge of the use of Blockchain in the extractives sector. The project is focused in particular on DLTs as they relate to beneficial ownership, licensing and contracting transparency, and commodity trading transparency. This fall, we will share a collection of Blockchain for extractives case studies, as well as a report summarizing if, when, and how Blockchain can provide value across the extractives decision chain.

If you are interested in collaborating on our work to increase our understanding of Blockchain’s real potential for social change, or if you have any feedback on this presentation of early findings, please contact [email protected].