107 Years Later, The Titanic Sinking Helps Train Problem-Solving AI

Curated on Posted on by Stefaan Verhulst

Kiona N. Smith at Forbes: “What could the 107-year-old tragedy of the Titanic possibly have to do with modern problems like sustainable agriculture, human trafficking, or health insurance premiums? Data turns out to be the common thread. The modern world, for better or or worse, increasingly turns to algorithms to look for patterns in the data and and make predictions based on those patterns. And the basic methods are the same whether the question they’re trying to answer is “Would this person survive the Titanic sinking?” or “What are the most likely routes for human trafficking?”

An Enduring Problem

Predicting survival at sea based on the Titanic dataset is a standard practice problem for aspiring data scientists and programmers. Here’s the basic challenge: feed your algorithm a portion of the Titanic passenger list, which includes some basic variables describing each passenger and their fate. From that data, the algorithm (if you’ve programmed it well) should be able to draw some conclusions about which variables made a person more likely to live or die on that cold April night in 1912. To test its success, you then give the algorithm the rest of the passenger list (minus the outcomes) and see how well it predicts their fates.

Online communities like Kaggle.com have held competitions to see who can develop the algorithm that predicts survival most accurately, and it’s also a common problem presented to university classes. The passenger list is big enough to be useful, but small enough to be manageable for beginners. There’s a simple set out of outcomes — life or death — and around a dozen variables to work with, so the problem is simple enough for beginners to tackle but just complex enough to be interesting. And because the Titanic’s story is so famous, even more than a century later, the problem still resonates.

“It’s interesting to see that even in such a simple problem as the Titanic, there are nuggets,” said Sagie Davidovich, Co-Founder & CEO of SparkBeyond, who used the Titanic problem as an early test for SparkBeyond’s AI platform and still uses it as a way to demonstrate the technology to prospective customers….(More)”.

Opening Data for Global Health

Curated on Posted on by Stefaan Verhulst

Chapter by Matt Laessig, Bryon Jacob and Carla AbouZahr in The Palgrave Handbook of Global Health Data Methods for Policy and Practice: “…provide best practices for organizations to adopt to disseminate data openly for others to use. They describe development of the open data movement and its rapid adoption by governments, non-governmental organizations, and research groups. The authors provide examples from the health sector—an early adopter—but acknowledge concerns specific to health relating to informed consent, intellectual property, and ownership of personal data. Drawing on their considerable contributions to the open data movement, Laessig and Jacob share their Open Data Progression Model. They describe six stages to make data open: from data collection, documentation of the data, opening the data, engaging the community of users, making the data interoperable, to finally linking the data….(More)”

A Taxonomy of Definitions for the Health Data Ecosystem

Curated on Posted on by Stefaan Verhulst

Announcement: “Healthcare technologies are rapidly evolving, producing new data sources, data types, and data uses, which precipitate more rapid and complex data sharing. Novel technologies—such as artificial intelligence tools and new internet of things (IOT) devices and services—are providing benefits to patients, doctors, and researchers. Data-driven products and services are deepening patients’ and consumers’ engagement and helping to improve health outcomes. Understanding the evolving health data ecosystem presents new challenges for policymakers and industry. There is an increasing need to better understand and document the stakeholders, the emerging data types and their uses.

The Future of Privacy Forum (FPF) and the Information Accountability Foundation (IAF) partnered to form the FPF-IAF Joint Health Initiative in 2018. Today, the Initiative is releasing A Taxonomy of Definitions for the Health Data Ecosystem; the publication is intended to enable a more nuanced, accurate, and common understanding of the current state of the health data ecosystem. The Taxonomy outlines the established and emerging language of the health data ecosystem. The Taxonomy includes definitions of:

  • The stakeholders currently involved in the health data ecosystem and examples of each;
  • The common and emerging data types that are being collected, used, and shared across the health data ecosystem;
  • The purposes for which data types are used in the health data ecosystem; and
  • The types of actions that are now being performed and which we anticipate will be performed on datasets as the ecosystem evolves and expands.

This report is as an educational resource that will enable a deeper understanding of the current landscape of stakeholders and data types….(More)”.

Come to Finland if you want to glimpse the future of health data!

Curated on Posted on by Stefaan Verhulst

Jukka Vahti at Sitra: “The Finnish tradition of establishing, maintaining and developing data registers goes back to the 1600s, when parish records were first kept.

When this old custom is combined with the opportunities afforded by digitisation, the positive approach Finns have towards research and technology, and the recently updated legislation enabling the data economy, Finland and the Finnish people can lead the way as Europe gradually, or even suddenly, switches to a fair data economy.

The foundations for a fair data economy already exist

The fair data economy is a natural continuation of the former projects promoting e-services that were undertaken in Finland.

For example, the Data Exchange Layer is already speeding up the transfer of data from one system to another in Finland and in Estonia, the country where the system originated, and a system unique to just these two countries.

In May 2019 Finland also saw the entry into force of the Act on the Secondary Use of Health and Social Data, according to which the information on social welfare and healthcare held in registers may be used for purposes of statistics, research, education, knowledge management, control and supervision conducted by authorities, and development and innovation activity.

The new law will make the work of researchers and service developers more effective, as the business of acquiring a permit will take place through a one-stop-shop principle and it will be possible to use data from more than one source more readily than before….(More)”.

Can tracking people through phone-call data improve lives?

Curated on Posted on by Stefaan Verhulst

Amy Maxmen in Nature: “After an earthquake tore through Haiti in 2010, killing more than 100,000 people, aid agencies spread across the country to work out where the survivors had fled. But Linus Bengtsson, a graduate student studying global health at the Karolinska Institute in Stockholm, thought he could answer the question from afar. Many Haitians would be using their mobile phones, he reasoned, and those calls would pass through phone towers, which could allow researchers to approximate people’s locations. Bengtsson persuaded Digicel, the biggest phone company in Haiti, to share data from millions of call records from before and after the quake. Digicel replaced the names and phone numbers of callers with random numbers to protect their privacy.

Bengtsson’s idea worked. The analysis wasn’t completed or verified quickly enough to help people in Haiti at the time, but in 2012, he and his collaborators reported that the population of Haiti’s capital, Port-au-Prince, dipped by almost one-quarter soon after the quake, and slowly rose over the next 11 months1. That result aligned with an intensive, on-the-ground survey conducted by the United Nations.

Humanitarians and researchers were thrilled. Telecommunications companies scrutinize call-detail records to learn about customers’ locations and phone habits and improve their services. Researchers suddenly realized that this sort of information might help them to improve lives. Even basic population statistics are murky in low-income countries where expensive household surveys are infrequent, and where many people don’t have smartphones, credit cards and other technologies that leave behind a digital trail, making remote-tracking methods used in richer countries too patchy to be useful.

Since the earthquake, scientists working under the rubric of ‘data for good’ have analysed calls from tens of millions of phone owners in Pakistan, Bangladesh, Kenya and at least two dozen other low- and middle-income nations. Humanitarian groups say that they’ve used the results to deliver aid. And researchers have combined call records with other information to try to predict how infectious diseases travel, and to pinpoint locations of poverty, social isolation, violence and more (see ‘Phone calls for good’)….(More)”.

Platforms that trigger innovation

Curated on Posted on by Stefaan Verhulst

Report by the Caixa Foundation: “…The Work4Progress programme thus supports the creation of “Open Innovation Platforms for the creation of employment in Peru, India and Mozambique” by means of collaborative partnerships between local civil society organisations, private sector, administration, universities and Spanish NGOs.

The main innovation of this programme is the incorporation of new tools and methodologies in: (1) listening and identification of community needs, (2) the co-creation and prototyping of new solutions, (3) the exploration of instruments for scaling, (4) governance, (5) evolving evaluation systems and (6) financing strategies. The goal of all of the above is to try to incorporate innovation strategies comprehensively in all components.

Work4Progress has been designed with a Think-and-Do-Tank mentality. The
member organisations of the platforms are experimenting in the field, while a group of international experts helps us to obtain this knowledge and share it with centres of thought and action at international level. In fact, this is the objective of this publication: to share the theoretical framework of the programme, to connect these ideas with concrete examples and to continue to strengthen the meeting point between social innovation and development cooperation.

Work4Progress is offered as a ‘living lab’ to test new methodologies that may be useful for other philanthropic institutions, governments or entities specialising in international development….(More)”.

The Geopolitics of Information

Curated on Posted on by Stefaan Verhulst

Paper by Eric Rosenbach and Katherine Mansted: “Information is now the world’s most consequential and contested geopolitical resource. The world’s most profitable businesses have asserted for years that data is the “new oil.” Political campaigns—and foreign intelligence operatives—have shown over the past two American presidential elections that data-driven social media is the key to public opinion. Leading scientists and technologists understand that good datasets, not just algorithms, will give them a competitive edge.

Data-driven innovation is not only disrupting economies and societies; it is reshaping relations between nations. The pursuit of information power—involving states’ ability to use information to influence, decide, create and communicate—is causing states to rewrite their terms of engagement with markets and citizens, and to redefine national interests and strategic priorities. In short, information power is altering the nature and behavior of the fundamental building block of international relations, the state, with potentially seismic consequences.

Authoritarian governments recognize the strategic importance of information and over the past five years have operationalized powerful domestic and international information strategies. They are cauterizing their domestic information environments and shutting off their citizens from global information flows, while weaponizing information to attack and destabilize democracies. In particular, China and Russia believe that strategic competition in the 21st century is characterized by a zero-sum contest for control of data, as well as the technology and talent needed to convert data into useful information.

Democracies remain fundamentally unprepared for strategic competition in the Information Age. For the United States in particular, as the importance of information as a geopolitical resource has waxed, its information dominance has waned. Since the end of the Cold War, America’s supremacy in information technologies seemed unassailable—not least because of its central role in creating the Internet and overall economic primacy. Democracies have also considered any type of information strategy to be largely unneeded: government involvement in the domestic information environment feels Orwellian, while democracies believed that their “inherently benign” foreign policy didn’t need extensive influence operations.

However, to compete and thrive in the 21st century, democracies, and the United States in particular, must develop new national security and economic strategies that address the geopolitics of information. In the 20th century, market capitalist democracies geared infrastructure, energy, trade, and even social policy to protect and advance that era’s key source of power—manufacturing. In this century, democracies must better account for information geopolitics across all dimensions of domestic policy and national strategy….(More)”.

So­cial me­dia data re­veal where vis­it­ors to nature loca­tions provide po­ten­tial be­ne­fits or threats to biodiversity

Curated on Posted on by Stefaan Verhulst

University of Helsinki: “In a new article published in the journal Science of the Total Environment, a team of researchers assessed global patterns of visitation rates, attractiveness and pressure to more than 12,000 Important Bird and Biodiversity Areas (IBAs), which are sites of international significance for nature conservation, by using geolocated data mined from social media (Twitter and Flickr).

The study found that Important Bird and Biodiversity Areas located in Europe and Asia, and in temperate biomes, had the highest density of social media users. Results also showed that sites of importance for congregatory species, which were also more accessible, more densely populated and provided more tourism facilities, received higher visitation than did sites richer in bird species.

 “Resources in biodiversity conservation are woefully inadequate and novel data sources from social media provide openly available user-generated information about human-nature interactions, at an unprecedented spatio-temporal scale”, says Dr Anna Hausmann from the University of Helsinki, a conservation scientist leading the study. “Our group has been exploring and validating data retrieved from social media to understand people´s preferences for experiencing nature in national parks at a local, national and continental scale”, she continues, “in this study, we expand our analyses at a global level”. …

“Social media content and metadata contain useful information for understanding human-nature interactions in space and time”, says Prof. Tuuli Toivonen, another co-author in the paper and the leader of the Digital Geography Lab at the University of Helsinki. “Social media data can also be used to cross-validate and enrich data collected by conservation organizations”, she continues. The study found that the 17 percent of all Important Bird and Biodiversity Areas (IBA) that were assessed by experts to be under greater human disturbance also had higher density of social media users….(More)”.

Open Data and the Private Sector

Curated on Posted on by Stefaan Verhulst

Chapter by Joel Gurin, Carla Bonini and Stefaan Verhulst in State of Open Data: “The open data movement launched a decade ago with a focus on transparency, good governance, and citizen participation. As other chapters in this collection have documented in detail, those critical uses of open data have remained paramount and are continuing to grow in importance at a time of fake news and increased secrecy. But the value of open data extends beyond transparency and accountability – open data is also an important resource for business and economic growth.

The past several years have seen an increased focus on the value of open data to the private sector. In 2012, the Open Data Institute (ODI) was founded in the United Kingdom (UK) and backed with GBP 10 million by the UK government to maximise the value of open data in business and government. A year later, McKinsey released a report suggesting open data could help unlock USD 3 to 5 trillion in economic value annually. At around the same time, Monsanto acquired the Climate Corporation, a digital agriculture company that leverages open data to inform farmers for approximately USD 1.1 billion. In 2014, the GovLab launched the Open Data 500,2the first national study of businesses using open government data (now in six countries), and, in 2015, Open Data for Development (OD4D) launched the Open Data Impact Map, which today contains more than 1 100 examples of private sector companies using open data. The potential business applications of open data continue to be a priority for many governments around the world as they plan and develop their data programmes.

The use of open data has become part of the broader business practice of using data and data science to inform business decisions, ranging from launching new products and services to optimising processes and outsmarting the competition. In this chapter, we take stock of the state of open data and the private sector by analysing how the private sector both leverages and contributes to the open data ecosystem….(More)”.

New platforms for public imagination

Curated on Posted on by Stefaan Verhulst

Kathy Peach at NESTA: “….The practice of thinking about the future is currently dominated by a small group of academics, consultants, government foresight teams, and large organisations. The ability to influence the future has been cornered by powerful special interests and new tech monopolies who shape our views of what is possible. While the entrepreneurs, scientists and tech developers building the future are not much more diverse. Overall, the future is dominated by privileged white men.

Democratising futures means creating new capacity among many more diverse people to explore and articulate their alternative and desirable visions of the future. It must create hope – enabling people to co-diagnose the issues and opportunities, build common ground and collectively imagine preferred futures. Investment, policy and collective civic action should then be aligned to help deliver these common visions. This is anticipatory democracy, not the extractive surveying of needs and wants against a narrow prescribed set of options that characterises many ‘public engagement’ exercises. Too often these are little more than PR activities conducted relatively late in the decision-making process.

Participatory futures

The participation of citizens in futures exercises is not new. From Hawaii in the 1970s to Newcastle more recently, cities, regions and small nations have at times explored these methods as a way of deepening civic engagement. But this approach has so far failed to achieve mainstream adoption.

The zeitgeist, however, may be changing. Political paralysis has led to growing calls for citizens assemblies on climate change and resolving the Brexit deadlock – demonstrating increasing enthusiasm for involving citizens in complex deliberations. The appointment of the world’s first Commissioner for Future Generations in Wales and its People’s Platform, as well as the establishment of the UK’s all-party parliamentary group on future generations are also signals of democracies grappling to find ways of bringing long-term thinking and people back into political decision-making.

And while interest in mini-publics such as citizens’ assemblies has grown, there has been a much broader expansion of participatory methods for thinking about the future….

Anecdotal evidence from participatory futures exercises suggests they can lead to significantchange for communities. But rigorous or longitudinal evaluations of these approaches are relatively few, so the evidence base is sketchy. The reasons for this are not clear. Perhaps it is the eclecticism of the field, the lack of clarity on how to evaluate these methods, or the belief of its supporters that the impact is self-evidentiary.

As part of our new research agenda into participatory futures, we want to address this challenge. We hope to identify how newer and more traditional futures methods can practically be combined to greatest effect. We want to understand the impact on the individuals and groups involved, as well as on the wider community. We want to know whether platforms for public imagination can help nurture more of the things we need: more inclusive economies and innovation, healthier community relationships, greater personal agency for individuals, and more effective civic society.

We know many local authorities, public and civil society institutions are recognising the need to reimagine their roles and their services, and recast their relationships with citizens for our changing world….(More)”.