Community Academic Research Partnership in Digital Contexts: Opportunities, Limitations, and New Ways to Promote Mutual Benefit


Report by Liat Racin and Eric Gordon: “It’s widely accepted that community-academic collaborations have the potential to involve more of the people and places that a community values as well as address the concerns of the very constituents that community-based organizations care for. Just how to involve them and ensure their benefit remains highly controversial in the digital age. This report provides an overview of the concerns, values, and the roles of digital data and communications in community-academic research partnerships from the perspectives of Community Partner Organizations (CPOs) in Boston, Massachusetts. It can serve as a resource for researchers and academic organizations seeking to better understand the position and sentiments of their community partners, and ways in which to utilize digital technology to address conflicting notions on what defines ‘good’ research as well as the power imbalances that may exist between all involved participants. As research involves community members and agencies more closely, it’s commonly assumed that the likelihood of CPOs accepting and endorsing a projects’ or programs’ outcomes increases if they perceive that the research itself is credible and has direct beneficial application.

Our research is informed by informal discussions with participants of events and workshops organized by both the Boston Civic Media Consortium and the Engagement Lab at Emerson College between 2015-2016. These events are free to the public and were attended by both CPOs and academics from various fields and interest positions. We also conducted interviews with 20 CPO representatives in the Greater Boston region who were currently or had recently engaged in academic research partnerships. These representatives presented a diverse mix of experiences and were not disproportionately associated with any one community issue. The interview protocol consisted of 15 questions that explored issues related to the benefits, challenges, structure and outcomes of their academic collaborations. It also included questions about the nature and processes of data management. Our goal was to uncover patterns of belief in the roles, values, and concerns of CPO representatives in partnerships, focusing on how they understand and assign value to digital data and technology.

Unfortunately, the growing use and dependence on digital tools and technology in our modern-day research context has failed to inspire in-depth analysis on the influences of ‘the digital’ in community-engaged social research, such as how data is produced, used, and disseminated by community members and agencies. This gap exists despite the growing proliferation of digital technologies and born-digital data in the work of both social researchers and community groups (Wright, 2005; Thompson et al., 2003; Walther and Boyd 2002). To address this gap and identify the discourses about what defines ‘good’ research processes, we ask: “To what extent do community-academic partnerships meet the expectations of community groups?” And, “what are the main challenges of CPO representatives when they collaboratively generate and exchange knowledge with particular regard to the design, access and (re)use of digital data?”…(More)”.

Creating a Machine Learning Commons for Global Development


Blog by Hamed Alemohammad: “Advances in sensor technology, cloud computing, and machine learning (ML) continue to converge to accelerate innovation in the field of remote sensing. However, fundamental tools and technologies still need to be developed to drive further breakthroughs and to ensure that the Global Development Community (GDC) reaps the same benefits that the commercial marketplace is experiencing. This process requires us to take a collaborative approach.

Data collaborative innovation — that is, a group of actors from different data domains working together toward common goals — might hold the key to finding solutions for some of the global challenges that the world faces. That is why Radiant.Earth is investing in new technologies such as Cloud Optimized GeoTiffsSpatial Temporal Asset Catalogues (STAC), and ML. Our approach to advance ML for global development begins with creating open libraries of labeled images and algorithms. This initiative and others require — and, in fact, will thrive as a result of — using a data collaborative approach.

“Data is only as valuable as the decisions it enables.”

This quote by Ion Stoica, professor of computer science at the University of California, Berkeley, may best describe the challenge facing those of us who work with geospatial information:

How can we extract greater insights and value from the unending tsunami of data that is before us, allowing for more informed and timely decision making?…(More).

Redefining ‘impact’ so research can help real people right away, even before becoming a journal article


Perhaps nowhere is impact of greater importance than in my own fields of ecology and conservation science. Researchers often conduct this work with the explicit goal of contributing to the restoration and long-term survival of the species or ecosystem in question. For instance, research on an endangered plant can help to address the threats facing it.

But scientific impact is a very tricky concept. Science is a process of inquiry; it’s often impossible to know what the outcomes will be at the start. Researchers are asked to imagine potential impacts of their work. And people who live and work in the places where the research is conducted may have different ideas about what impact means.

In collaboration with several Bolivian colleagues, I studied perceptions of research and its impact in a highly biodiverse area in the Bolivian Amazon. We found that researchers – both foreign-based and Bolivian – and people living and working in the area had different hopes and expectations about what ecological research could help them accomplish…

Eighty-three percent of researchers queried told us their work had implications for management at community, regional and national levels rather than at the international level. For example, knowing the approximate populations of local primate species can be important for communities who rely on the animals for food and ecotourism.

But the scale of relevance didn’t necessarily dictate how researchers actually disseminated the results of their work. Rather, we found that the strongest predictor of how and with whom a researcher shared their work was whether they were based at a foreign or national institution. Foreign-based researchers had extremely low levels of local, regional or even national dissemination. However, they were more likely than national researchers to publish their findings in the international literature….

Rather than impact being addressed at the end of research, societal impacts can be part of the first stages of a study. For example, people living in the region where data is to be collected might have insight into the research questions being investigated; scientists need to build in time and plan ways to ask them. Ecological fieldwork presents many opportunities for knowledge exchange, new ideas and even friendships between different groups. Researchers can take steps to engage more directly with community life, such as by taking a few hours to teach local school kids about their research….(More)”.

The world’s first neighbourhood built “from the internet up”


The Economist: “Quayside, an area of flood-prone land stretching for 12 acres (4.8 hectares) on Toronto’s eastern waterfront, is home to a vast, pothole-filled parking lot, low-slung buildings and huge soyabean silos—a crumbling vestige of the area’s bygone days as an industrial port. Many consider it an eyesore but for Sidewalk Labs, an “urban innovation” subsidiary of Google’s parent company, Alphabet, it is an ideal location for the world’s “first neighbourhood built from the internet up”.

Sidewalk Labs is working in partnership with Waterfront Toronto, an agency representing the federal, provincial and municipal governments that is responsible for developing the area, on a $50m project to overhaul Quayside. It aims to make it a “platform” for testing how emerging technologies might ameliorate urban problems such as pollution, traffic jams and a lack of affordable housing. Its innovations could be rolled out across an 800-acre expanse of the waterfront—an area as large as Venice.

Sidewalk Labs is planning pilot projects across Toronto this summer to test some of the technologies it hopes to employ at Quayside; this is partly to reassure residents. If its detailed plan is approved later this year (by Waterfront Toronto and also by various city authorities), it could start work at Quayside in 2020.

That proposal contains ideas ranging from the familiar to the revolutionary. There will be robots delivering packages and hauling away rubbish via underground tunnels; a thermal energy grid that does not rely on fossil fuels; modular buildings that can shift from residential to retail use; adaptive traffic lights; and snow-melting sidewalks. Private cars are banned; a fleet of self-driving shuttles and robotaxis would roam freely. Google’s Canadian headquarters would relocate there.

Undergirding Quayside would be a “digital layer” with sensors tracking, monitoring and capturing everything from how park benches are used to levels of noise to water use by lavatories. Sidewalk Labs says that collecting, aggregating and analysing such volumes of data will make Quayside efficient, liveable and sustainable. Data would also be fed into a public platform through which residents could, for example, allow maintenance staff into their homes while they are at work.

Similar “smart city” projects, such as Masdar in the United Arab Emirates or South Korea’s Songdo, have spawned lots of hype but are not seen as big successes. Many experience delays because of shifting political and financial winds, or because those overseeing their construction fail to engage locals in the design of communities, says Deland Chan, an expert on smart cities at Stanford University. Dan Doctoroff, the head of Sidewalk Labs, who was deputy to Michael Bloomberg when the latter was mayor of New York City, says that most projects flop because they fail to cross what he terms “the urbanist-technologist divide”.

That divide, between tech types and city-planning specialists, will also need to be bridged before Sidewalk Labs can stick a shovel in the soggy ground at Quayside. Critics of the project worry that in a quest to become a global tech hub, Toronto’s politicians may give it too much freedom. Sidewalk Labs’s proposal notes that the project needs “substantial forbearances from existing [city] laws and regulations”….(More)”.

Citizen Representation in City Government-Driven Crowdsourcing


Benjamin Y. Clark and Jeffrey L. Brudney in Computer Supported Cooperative Work (CSCW): “This article examines the citizen representativeness of crowdsourcing achieved through 311 systems—the non-emergency and quality of life service request reporting systems used by local governments. Based on surveys of San Francisco residents conducted in 2011, 2013, and 2015, our findings suggest that no systematic biases exist in participation rates across a range of socio-economic indicators. In addition, the findings provide evidence that participation may be responding positively to the city’s responsiveness, thus creating a self-reinforcing process that benefits an increasingly diverse and representative body of users. This inquiry builds on earlier studies of Boston and San Francisco that show that 311 systems did not bias response to traditionally disadvantaged groups (lower socioeconomic status or racial/ethnic minorities) at the demand level nor from high-volume users….(More)”.

Digital Skills Toolkit


Report by the International Telecommunications Union: “This toolkit provides stakeholders with guidance on developing a digital skills strategy. It is intended for policymakers, along with partners in the private sector, non-governmental organizations, and academia. Its overarching aim is to facilitate the development of a comprehensive digital skills strategy at country level. It is also possible to use this guide to focus on selected priorities that require a fresh approach.

Why do countries need a digital skills strategy?

Digital skills underpin nearly every aspect of work and life. From filling in a government form to communicating for work, it is difficult to find a job or life-task that does not require a basic level of digital functioning. And with new technologies emerging every day, we need lifelong opportunities to learn new skills that will allow us to succeed in an era of ongoing digital transformation. Digital skills are essential in opening the door to a wide range of opportunities in the 21st century. Countries that implement comprehensive digital skills strategies ensure their populations have the skills they need to be more employable, productive, creative, and successful while ensuring they remain safe, secure and healthy online. Critically, digital skills strategies need to be updated regularly to respond to the emergence of new technologies and their impact on the digital economy and digital society. The digital economy has created a huge shortage of people with the necessary digital skills. ITU research shows that there will be tens of millions of jobs for people with advanced digital skills in the coming years. In Europe, for example, estimates suggest there will be 500,000 unfilled positions for ICT professionals by 2020. Every region faces similar challenges. In addition to existing skills gaps, experts forecast that advances in areas like artificial intelligence, nanotechnology, 3D printing, and other technologies will usher in a new era that will radically alter patterns of consumption, production, and employment. Many countries view digital skills as one of the core foundations of the digital transformation….(More)”

The DNA Data We Have Is Too White. Scientists Want to Fix That


Sarah Elizabeth Richards at Smithsonian: “We live in the age of big DNA data. Scientists are eagerly sequencing millions of human genomes in the hopes of gleaning information that will revolutionize health care as we know it, from targeted cancer therapies to personalized drugs that will work according to your own genetic makeup.

There’s a big problem, however: the data we have is too white. The vast majority of participants in worldwide genomics research are of European descent. This disparity could potentially leave out minorities from benefitting from the windfall of precision medicine. “It’s hard to tailor treatments for people’s unique needs, if the people who are suffering from those diseases aren’t included in the studies,” explains Jacquelyn Taylor, associate professor in nursing who researches health equity at New York University.

That’s about to change with the “All of Us” initiative, an ambitious health research endeavor by the National Institutes of Health that launches in May. Originally created in 2015 under President Obama as the Precision Medicine Initiative, the project aims to collect data from at least 1 million people of all ages, races, sexual identities, income and education levels. Volunteers will be asked to donate their DNA, complete health surveys and wear fitness and blood pressure trackers to offer clues about the interplay of their stats, their genetics and their environment….(More)”.

New Power


The Public, the Political System and American Democracy


Pew Research Center: “Most say ‘design and structure’ of government need big changes…At a time of growing stress on democracy around the world, Americans generally agree on democratic ideals and values that are important for the United States. But for the most part, they see the country falling well short in living up to these ideals, according to a new study of opinion on the strengths and weaknesses of key aspects of American democracy and the political system.

The public’s criticisms of the political system run the gamut, from a failure to hold elected officials accountable to a lack of transparency in government. And just a third say the phrase “people agree on basic facts even if they disagree politically” describes this country well today.

The perceived shortcomings encompass some of the core elements of American democracy. An overwhelming share of the public (84%) says it is very important that “the rights and freedoms of all people are respected.” Yet just 47% say this describes the country very or somewhat well; slightly more (53%) say it does not.

Despite these criticisms, most Americans say democracy is working well in the United States – though relatively few say it is working very well. At the same time, there is broad support for making sweeping changes to the political system: 61% say “significant changes” are needed in the fundamental “design and structure” of American government to make it work for current times.

The public sends mixed signals about how the American political system should be changed, and no proposals attract bipartisan support. Yet in views of how many of the specific aspects of the political system are working, both Republicans and Democrats express dissatisfaction.

To be sure, there are some positives. A sizable majority of Americans (74%) say the military leadership in the U.S. does not publicly support one party over another, and nearly as many (73%) say the phrase “people are free to peacefully protest” describes this country very or somewhat well.

In general, however, there is a striking mismatch between the public’s goals for American democracy and its views of whether they are being fulfilled. On 23 specific measures assessing democracy, the political system and elections in the United States – each widely regarded by the public as very important – there are only eight on which majorities say the country is doing even somewhat well….(More)”.

Improving online disclosures with behavioural insights


OECD Report: “This report looks at how behavioural insights can be used to improve online information disclosures for consumers. The report is the latest contribution to work by the OECD’s Committee on Consumer Policy on improving consumer policy with behavioural insights. Behavioural insights incorporate findings from economics, psychology, neuroscience and marketing to better understand how individuals and businesses actually behave in the marketplace. While the role of information disclosure policies is clear in empowering consumers to make informed decisions when shopping online, findings from behavioural insights raise questions about the usefulness of certain forms of information disclosure. This report looks at these concerns and the subsequent policy implications….(More)”.