How Organizations with Data and Technology Skills Can Play a Critical Role in the 2020 Census

Curated on Posted on by Stefaan Verhulst

Blog Post by Kathryn L.S. Pettit and Olivia Arena: “The 2020 Census is less than a year away, and it’s facing new challenges that could result in an inaccurate count. The proposed inclusion of a citizenship question, the lack of comprehensive and unified messaging, and the new internet-response option could worsen the undercount of vulnerable and marginalized communities and deprive these groups of critical resources.

The US Census Bureau aims to count every US resident. But some groups are more likely to be missed than others. Communities of color, immigrants, young children, renters, people experiencing homelessness, and people living in rural areas have long been undercounted in the census. Because the census count is used to apportion federal funding and draw legislative districts for political seats, an inaccurate count means that these populations receive less than their fair share of resources and representation.

Local governments and community-based organizations have begun forming Complete Count Committees, coalitions of trusted community voices established to encourage census responses, to achieve a more accurate count in 2020. Local organizations with data and technology skills—like civic tech groups, libraries, technology training organizations, and data intermediaries—can harness their expertise to help these coalitions achieve a complete count.

As the coordinator of the National Neighborhood Indicators Partnership (NNIP), we are learning about 2020 Census mobilization in communities across the country. We have found that data and technology groups are natural partners in this work; they understand what is at risk in 2020, are embedded in communities as trusted data providers, and can amplify the importance of the census.

Threats to a complete count

The proposed citizenship question, currently being challenged in court, would likely suppress the count of immigrants and households in immigrant communities in the US. Though federal law prohibits the Census Bureau from disclosing individual-level data, even to other agencies, people may still be skeptical about the confidentiality of the data or generally distrust the government. Acknowledging these fears is important for organizations partnering in outreach to vulnerable communities.

Another potential hurdle is that, for the first time, the Census Bureau will encourage people to complete their census forms online (though answering by mail or phone will still be options). Though a high tech census could be more cost-effective, the digital divide compounded by the underfunding of the Census Bureau that limited initial testing of new methods and outreach could worsen the undercount….(More)”.

Open government and citizen engagement: From theory to action

Curated on Posted on by Stefaan Verhulst

Camilo Romero Galeano at apolitical: “…According to the 2016 Corruption Perception Index analysing the behaviour of 178 countries, 69% of countries evaluated again raised the alarm about what has been referred to as “the cancer of the public service”.

The scandals of misappropriation of public funds, illicit enrichment of public officials, the slippery labyrinths of procurement and all kinds of practices that challenge ethics in the public service are daily news around the world.

Colombia and the department of Nariño suffer from the same problems. Bad practices of traditional politics and chiefdoms have ended up destroying the trust that citizens once had in political institutions. Corruption and its devastating effects always end up undermining people’s dignity.

With this as the current state of affairs, and in our capacity as a subnational government, we have designed hand in hand with the citizens of Nariño a new government program. It  is based on an approach to innovation called “New Government” that relies on three pillars: open government; social innovation; and collaborative economy.

The new program has been endorsed by more than 300,000 voters and subsequently concretised in our roadmap for the territory: “Nariño heart of the World”. The creation of this policy document brought together 31,700 participants and involved travelling around the 13 subregions that compose the 64 municipalities in Nariño.

In this way, citizen participation has become an essential tool in the fight against corruption.

Our open government strategy is called GANA — Gobierno Abierto de Nariño (in English, “Win — Open Government of Nariño”). The strategy takes a step forward in ensuring cabinet officials become transparent and publicly declare private assets. Citizens can now find out the financial conditions in which public officials begin and finish their administrative periods. Each one of us….(More)”

The Tricky Ethics of Using YouTube Videos for Academic Research

Curated on Posted on by Stefaan Verhulst

Jane C.Hu in P/S Magazine: “…But just because something is legal doesn’t mean it’s ethical. That doesn’t mean it’s necessarily unethical, either, but it’s worth asking questions about how and why researchers use social media posts, and whether those uses could be harmful. I was once a researcher who had to obtain human-subjects approval from a university institutional review board, and I know it can be a painstaking application process with long wait times. Collecting data from individuals takes a long time too. If you could just sub in YouTube videos in place of collecting your own data, that saves time, money, and effort. But that could be at the expense of the people whose data you’re scraping.

But, you might say, if people don’t want to be studied online, then they shouldn’t post anything. But most people don’t fully understand what “publicly available” really means or its ramifications. “You might know intellectually that technically anyone can see a tweet, but you still conceptualize your audience as being your 200 Twitter followers,” Fiesler says. In her research, she’s found that the majority of people she’s polled have no clue that researchers study public tweets.

Some may disagree that it’s researchers’ responsibility to work around social media users’ ignorance, but Fiesler and others are calling for their colleagues to be more mindful about any work that uses publicly available data. For instance, Ashley Patterson, an assistant professor of language and literacy at Penn State University, ultimately decided to use YouTube videos in her dissertation work on biracial individuals’ educational experiences. That’s a decision she arrived at after carefully considering her options each step of the way. “I had to set my own levels of ethical standards and hold myself to it, because I knew no one else would,” she says. One of Patterson’s first steps was to ask herself what YouTube videos would add to her work, and whether there were any other ways to collect her data. “It’s not a matter of whether it makes my life easier, or whether it’s ‘just data out there’ that would otherwise go to waste. The nature of my question and the response I was looking for made this an appropriate piece [of my work],” she says.

Researchers may also want to consider qualitative, hard-to-quantify contextual cues when weighing ethical decisions. What kind of data is being used? Fiesler points out that tweets about, say, a television show are way less personal than ones about a sensitive medical condition. Anonymized written materials, like Facebook posts, could be less invasive than using someone’s face and voice from a YouTube video. And the potential consequences of the research project are worth considering too. For instance, Fiesler and other critics have pointed out that researchers who used YouTube videos of people documenting their experience undergoing hormone replacement therapy to train an artificial intelligence to identify trans people could be putting their unwitting participants in danger. It’s not obvious how the results of Speech2Face will be used, and, when asked for comment, the paper’s researchers said they’d prefer to quote from their paper, which pointed to a helpful purpose: providing a “representative face” based on the speaker’s voice on a phone call. But one can also imagine dangerous applications, like doxing anonymous YouTubers.

One way to get ahead of this, perhaps, is to take steps to explicitly inform participants their data is being used. Fiesler says that, when her team asked people how they’d feel after learning their tweets had been used for research, “not everyone was necessarily super upset, but most people were surprised.” They also seemed curious; 85 percent of participants said that, if their tweet were included in research, they’d want to read the resulting paper. “In human-subjects research, the ethical standard is informed consent, but inform and consent can be pulled apart; you could potentially inform people without getting their consent,” Fiesler suggests….(More)”.

How to use data for good — 5 priorities and a roadmap

Curated on Posted on by Stefaan Verhulst

Stefaan Verhulst at apolitical: “…While the overarching message emerging from these case studies was promising, several barriers were identified that if not addressed systematically could undermine the potential of data science to address critical public needs and limit the opportunity to scale the practice more broadly.

Below we summarise the five priorities that emerged through the workshop for the field moving forward.

1. Become People-Centric

Much of the data currently used for drawing insights involve or are generated by people.

These insights have the potential to impact people’s lives in many positive and negative ways. Yet, the people and the communities represented in this data are largely absent when practitioners design and develop data for social good initiatives.

To ensure data is a force for positive social transformation (i.e., they address real people’s needs and impact lives in a beneficiary way), we need to experiment with new ways to engage people at the design, implementation, and review stage of data initiatives beyond simply asking for their consent.

(Photo credit: Image from the people-led innovation report)

As we explain in our People-Led Innovation methodology, different segments of people can play multiple roles ranging from co-creation to commenting, reviewing and providing additional datasets.

The key is to ensure their needs are front and center, and that data science for social good initiatives seek to address questions related to real problems that matter to society-at-large (a key concern that led The GovLab to instigate 100 Questions Initiative).

2. Establish Data About the Use of Data (for Social Good)

Many data for social good initiatives remain fledgling.

As currently designed, the field often struggles with translating sound data projects into positive change. As a result, many potential stakeholders—private sector and government “owners” of data as well as public beneficiaries—remain unsure about the value of using data for social good, especially against the background of high risks and transactions costs.

The field needs to overcome such limitations if data insights and its benefits are to spread. For that, we need hard evidence about data’s positive impact. Ironically, the field is held back by an absence of good data on the use of data—a lack of reliable empirical evidence that could guide new initiatives.

The field needs to prioritise developing a far more solid evidence base and “business case” to move data for social good from a good idea to reality.

3. Develop End-to-End Data Initiatives

Too often, data for social good focus on the “data-to-knowledge” pipeline without focusing on how to move “knowledge into action.”

As such, the impact remains limited and many efforts never reach an audience that can actually act upon the insights generated. Without becoming more sophisticated in our efforts to provide end-to-end projects and taking “data from knowledge to action,” the positive impact of data will be limited….

4. Invest in Common Trust and Data Steward Mechanisms 

For data for social good initiatives (including data collaboratives) to flourish and scale, there must be substantial trust between all parties involved; and amongst the public-at-large.

Establishing such a platform of trust requires each actor to invest in developing essential trust mechanisms such as data governance structures, contracts, and dispute resolution methods. Today, designing and establishing these mechanisms take tremendous time, energy, and expertise. These high transaction costs result from the lack of common templates and the need to each time design governance structures from scratch…

5. Build Bridges Across Cultures

As C.P. Snow famously described in his lecture on “Two Cultures and the Scientific Revolution,” we must bridge the “two cultures” of science and humanism if we are to solve the world’s problems….

To implement these five priorities we will need experimentation at the operational but also institutional level. This involves the establishment of “data stewards” within organisations that can accelerate data for social good initiative in a responsible manner integrating the five priorities above….(More)”

The Landscape of Open Data Policies

Curated on Posted on by Stefaan Verhulst

Apograf: “Open Access (OA) publishing has a long history, going back to the early 1990s, and was born with the explicit intention of improving access to scholarly literature. The internet has played a pivotal role in garnering support for free and reusable research publications, as well as stronger and more democratic peer-review systems — ones are not bogged down by the restrictions of influential publishing platforms….

Looking back, looking forward

Launched in 1991, ArXiv.org was a pioneering platform in this regard, a telling example of how researchers could cooperate to publish academic papers for free and in full view for the public. Though it has limitations — papers are curated by moderators and are not peer-reviewed — arXiv is a demonstration of how technology can be used to overcome some of the incentive and distribution problems that scientific research had long been subjected to.

The scientific community has itself assumed the mantle to this end: the Budapest Open Access Initiative (BOAI) and the Berlin Declaration on Open Access Initiative, launched in 2002 and 2003 respectively, are considered landmark movements in the push for unrestricted access to scientific research. While mostly symbolic, the effort highlighted the growing desire to solve the problems plaguing the space through technology.

The BOAI manifesto begins with a statement that is an encapsulation of the movement’s purpose,

“An old tradition and a new technology have converged to make possible an unprecedented public good. The old tradition is the willingness of scientists and scholars to publish the fruits of their research in scholarly journals without payment, for the sake of inquiry and knowledge. The new technology is the internet. The public good they make possible is the world-wide electronic distribution of the peer-reviewed journal literature and completely free and unrestricted access to it by all scientists, scholars, teachers, students, and other curious minds.”

Plan S is a more recent attempt to make publicly funded research available to all. Launched by Science Europe in September 2018, Plan S — short for ‘Shock’ — has energized the research community with its resolution to make access to publicly funded knowledge a right to everyone and dissolve the profit-driven ecosystem of research publication. Members of the European Union have vowed to achieve this by 2020.

Plan S has been supported by governments outside Europe as well. China has thrown itself behind it, and the state of California has enacted a law that requires open access to research one year after publishing. It is, of course, not without its challenges: advocacy and ensuring that publishing is not restricted a few venues are two such obstacles. However, the organization behind forming the guidelines, cOAlition S, has agreed to make the guidelines more flexible.

The emergence of this trend is not without its difficulties, however, and numerous obstacles continue to hinder the dissemination of information in a manner that is truly transparent and public. Chief among these are the many gates that continue to keep research as somewhat of exclusive property, besides the fact that the infrastructure and development for such systems are short on funding and staff…..(More)”.

Public Value: How can it be measured, managed and grown?

Curated on Posted on by Stefaan Verhulst

Geoff Mulgan et al at Nesta: “It builds on work Nesta has done in many fields – from health and culture to public services – to find more rounded and realistic ways of capturing the many dimensions of value created by public action. It is relevant to our work influencing governments and charities as well as to our own work as a funder, since our status as a charity commits us to creating public benefit.

Our aim in this work is to make value more transparent and more open to interrogation, whether that concerns libraries, bicycle lanes, museums, primary health services or training programmes for the unemployed. We recognise that value may come from government action; it can also be created by others, in civil society and business. And we recognise that value can often be complex, whether in terms of who benefits, or how it relates to values, as well as more technical issues such as what discount rates to apply.

But unless value is attended to explicitly, we risk ending up with unhappy results….(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)”.

The 100 Questions Initiative: Sourcing 100 questions on key societal challenges that can be answered by data insights

Curated on Posted on by Stefaan Verhulst
100Q Screenshot

Press Release: “The Governance Lab at the NYU Tandon School of Engineering announced the launch of the 100 Questions Initiative — an effort to identify the most important societal questions whose answers can be found in data and data science if the power of data collaboratives is harnessed.

The initiative, launched with initial support from Schmidt Futures, seeks to address challenges on numerous topics, including migration, climate change, poverty, and the future of work.

For each of these areas and more, the initiative will seek to identify questions that could help unlock the potential of data and data science with the broader goal of fostering positive social, environmental, and economic transformation. These questions will be sourced by leveraging “bilinguals” — practitioners across disciplines from all over the world who possess both domain knowledge and data science expertise.

The 100 Questions Initiative starts by identifying 10 key questions related to migration. These include questions related to the geographies of migration, migrant well-being, enforcement and security, and the vulnerabilities of displaced people. This inaugural effort involves partnerships with the International Organization for Migration (IOM) and the European Commission, both of which will provide subject-matter expertise and facilitation support within the framework of the Big Data for Migration Alliance (BD4M).

“While there have been tremendous efforts to gather and analyze data relevant to many of the world’s most pressing challenges, as a society, we have not taken the time to ensure we’re asking the right questions to unlock the true potential of data to help address these challenges,” said Stefaan Verhulst, co-founder and chief research and development officer of The GovLab. “Unlike other efforts focused on data supply or data science expertise, this project seeks to radically improve the set of questions that, if answered, could transform the way we solve 21st century problems.”

In addition to identifying key questions, the 100 Questions Initiative will also focus on creating new data collaboratives. Data collaboratives are an emerging form of public-private partnership that help unlock the public interest value of previously siloed data. The GovLab has conducted significant research in the value of data collaboration, identifying that inter-sectoral collaboration can both increase access to information (e.g., the vast stores of data held by private companies) as well as unleash the potential of that information to serve the public good….(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)”.

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)”.