Coastal research increasingly depends on citizen scientists

Curated on Posted on by Stefaan Verhulst

Brenna Visser at CS Monitor: “…This monthly ritual is a part of the COASST survey, a program that relies on data taken by volunteers to study large-scale patterns in seabird populations on the West Coast. The Haystack Rock Awareness Program conducts similar surveys for sea stars and marine debris throughout the year.

Surveys like these play a small part in a growing trend in the science community to use citizen scientists as a way to gather massive amounts of data. Over the weekend, marine scientists and conservationists came to Cannon Beach for an annual Coast Conference, a region wide event to discuss coastal science and stewardship.

Whether the presentation was about ocean debris, marine mammals, seabirds, or ocean jellies, many relied on the data collection work of volunteers throughout the state. A database for citizen science programs called Citsci.org, which recorded only a few dozen groups 10 years ago, now has more than 500 groups registered across the country, with new ones registering every day….

Part of the rise has to do with technology, she said. Apps that help identify species and allow unprecedented access to information have driven interest up and removed barriers that would have otherwise made it harder to collect data without formal training. Another is the science community slowly coming around to accept citizen science.

“I think there’s a lot of reticence in the science community to use citizen science. There’s some doubt the data collected is of the precision or accuracy that is needed to document phenomena,” Parrish said. “But as it grows, the more standardized it becomes. What we’re seeing right now is a lot of discussion in citizen science programs asking what they need to do to get to that level.”…While a general decline in federal funding for scientific research could play a factor in the science community’s acceptance of using volunteer-collected data, Parrish said, regardless of funding, there are some projects only citizen scientists can accomplish….(More)”

How Incorporating Behavioral Science into Cash Transfer Programs Is Changing Lives

Curated on Posted on by Stefaan Verhulst

Josh Martin and Laura Rawlings at Next Billion: “…Today, a new generation of cash transfer programs – currently being piloted in several countries in Africa – uses behavioral insights to help beneficiaries decide how to spend their cash and follow through on those plans. But the circumstances under which they receive the funds—like how long they have to wait on payment day or how close the local market is to the payment site—impact whether they put that intention into action. Other often-overlooked program design factors, such as the frequency of payments or how the purpose of the cash is framed, can disproportionately affect how people spend (or save) their money. Insights from behavioral science show that people act in predictable ways—and we can use that knowledge to design cash transfer programs that support people’s goals and continue to set them up for success.

For example, in our work, we have found that the way payments are made often caters more to administrators’ convenience than beneficiaries’ needs. But some innovators are already changing the timing, location and frequency of payments to suit recipients. For instance, GiveDirectly, a nonprofit that provides unconditional cash transfers, is experimenting with allowing beneficiaries in Kenya to choose when they’d prefer their payments to occur. This is important because getting money at the wrong time can actually increase stress. When cash arrives infrequently, it forces recipients to stretch funds until the next payment. But if it is transferred too often, recipients must save slowly over time, pulling their attention away from other critical tasks. While it isn’t always possible to pay everyone according to their ideal schedule, even offering some payment flexibility may help recipients achieve their goals more quickly.

A simple prompt for beneficiaries to consider how they’d like to use their money right before receiving it can also support their financial goals. Other tactics include reminders to follow through on plans, systems to provide feedback to people on their savings progress, and wallets to help them physically separate (and thus mentally separate) what they want to spend routinely from what they want to set aside for the future. Many inexpensive options exist that are fairly easy to put in place.

To bring more of these solutions to cash transfer programs, ideas42 and the World Bank, with financial support from the Global Innovation Fund, are launching a new initiative, Behavioral Design for Cash Transfer Programs. Working with government partners to identify the best options for incorporating behavioral designs in cash transfer programs across several African nations is a critical next step in improving this anti-poverty tool. We can then work to make behavioral science an automatic part of any social protection program that features a cash transfer….(More)”.

Say goodbye to the information age: it’s all about reputation now

Curated on Posted on by Stefaan Verhulst

Gloria Origgi at Aeon: “There is an underappreciated paradox of knowledge that plays a pivotal role in our advanced hyper-connected liberal democracies: the greater the amount of information that circulates, the more we rely on so-called reputational devices to evaluate it. What makes this paradoxical is that the vastly increased access to information and knowledge we have today does not empower us or make us more cognitively autonomous. Rather, it renders us more dependent on other people’s judgments and evaluations of the information with which we are faced.

We are experiencing a fundamental paradigm shift in our relationship to knowledge. From the ‘information age’, we are moving towards the ‘reputation age’, in which information will have value only if it is already filtered, evaluated and commented upon by others. Seen in this light, reputation has become a central pillar of collective intelligence today. It is the gatekeeper to knowledge, and the keys to the gate are held by others. The way in which the authority of knowledge is now constructed makes us reliant on what are the inevitably biased judgments of other people, most of whom we do not know.

Let me give some examples of this paradox. If you are asked why you believe that big changes in the climate are occurring and can dramatically harm future life on Earth, the most reasonable answer you’re likely to provide is that you trust the reputation of the sources of information to which you usually turn for acquiring information about the state of the planet. In the best-case scenario, you trust the reputation of scientific research and believe that peer-review is a reasonable way of sifting out ‘truths’ from false hypotheses and complete ‘bullshit’ about nature. In the average-case scenario, you trust newspapers, magazines or TV channels that endorse a political view which supports scientific research to summarise its findings for you. In this latter case, you are twice-removed from the sources: you trust other people’s trust in reputable science….(More)”.

The Promise of Community Citizen Science

Curated on Posted on by Stefaan Verhulst

Report by Ramya Chari, Luke J. Matthews, Marjory S. Blumenthal, Amanda F. Edelman, and Therese Jones: “Citizen science is public participation in research and scientific endeavors. Citizens volunteer as data collectors in science projects; collaborate with scientific experts on research design; and actively lead and carry out research, exerting a high degree of control and ownership over scientific activities. The last type — what we refer to as community citizen science — tends to involve action-oriented research to support interventional activities or policy change. This type of citizen science can be of particular importance to those working at the nexus of science and decisionmaking.

The authors examine the transformative potential of community citizen science for communities, science, and decisionmaking. The Perspective is based on the authors’ experiences working in collaboration with community groups, extensive readings of the scientific literature, and numerous interviews with leading scholars and practitioners in the fields of citizen science and participatory research. It first discusses models of citizen science in general, including community citizen science, and presents a brief history of its rise. It then looks at possible factors motivating the development of community citizen science, drawing from an exploration of the relationships among citizens, science, and decisionmaking. The final section examines areas in which community citizen science may exhibit promise in terms of outcomes and impacts, discusses concerns that may hinder its overall potential, and assesses the roles different stakeholders may play to continue to develop community citizen science into a positive force for science and society.

Key Findings

At Its Core, Citizen Science Is Public Participation in Research and Scientific Endeavors

  • Citizens volunteer as data collectors in science projects, collaborate with scientific experts on research design, and actively lead and carry out research.
  • It is part of a long tradition of rebirth of inventors, scientists, do-it-yourselfers, and makers at all levels of expertise.
  • Instead of working alone, today’s community citizen scientists take advantage of new technologies for networking and coordination to work collaboratively; learn from each other; and share knowledge, insights, and findings.

The Democratization of Science and the Increasingly Distributed Nature of Expertise Are Not Without Concern

  • There is some tension and conflict between current standards of practice and the changes required for citizen science to achieve its promising future.
  • There is also some concern about the potential for bias, given that some efforts begin as a form of activism.

Yet the Efforts of Community Citizen Science Can Be Transformative

  • Success will require an engaged citizenry, promote more open and democratic decisionmaking processes, and generate new solutions for intractable problems.
  • If its promise holds true, the relationship between science and society will be profoundly transformed for the betterment of all…(More)”.

Including all voices in international data-sharing governance

Curated on Posted on by Stefaan Verhulst

Jane Kaye et al in Human Genomics: “Governments, funding bodies, institutions, and publishers have developed a number of strategies to encourage researchers to facilitate access to datasets. The rationale behind this approach is that this will bring a number of benefits and enable advances in healthcare and medicine by allowing the maximum returns from the investment in research, as well as reducing waste and promoting transparency. As this approach gains momentum, these data-sharing practices have implications for many kinds of research as they become standard practice across the world.

The governance frameworks that have been developed to support biomedical research are not well equipped to deal with the complexities of international data sharing. This system is nationally based and is dependent upon expert committees for oversight and compliance, which has often led to piece-meal decision-making. This system tends to perpetuate inequalities by obscuring the contributions and the important role of different data providers along the data stream, whether they be low- or middle-income country researchers, patients, research participants, groups, or communities. As research and data-sharing activities are largely publicly funded, there is a strong moral argument for including the people who provide the data in decision-making and to develop governance systems for their continued participation.

We recommend that governance of science becomes more transparent, representative, and responsive to the voices of many constituencies by conducting public consultations about data-sharing addressing issues of access and use; including all data providers in decision-making about the use and sharing of data along the whole of the data stream; and using digital technologies to encourage accessibility, transparency, and accountability. We anticipate that this approach could enhance the legitimacy of the research process, generate insights that may otherwise be overlooked or ignored, and help to bring valuable perspectives into the decision-making around international data sharing….(More)”.

Making Better Use of Health Care Data

Curated on Posted on by Stefaan Verhulst

Benson S. Hsu, MD and Emily Griese in Harvard Business Review: “At Sanford Health, a $4.5 billion rural integrated health care system, we deliver care to over 2.5 million people in 300 communities across 250,000 square miles. In the process, we collect and store vast quantities of patient data – everything from admission, diagnostic, treatment and discharge data to online interactions between patients and providers, as well as data on providers themselves. All this data clearly represents a rich resource with the potential to improve care, but until recently was underutilized. The question was, how best to leverage it.

While we have a mature data infrastructure including a centralized data and analytics team, a standalone virtual data warehouse linking all data silos, and strict enterprise-wide data governance, we reasoned that the best way forward would be to collaborate with other institutions that had additional and complementary data capabilities and expertise.

We reached out to potential academic partners who were leading the way in data science, from university departments of math, science, and computer informatics to business and medical schools and invited them to collaborate with us on projects that could improve health care quality and lower costs. In exchange, Sanford created contracts that gave these partners access to data whose use had previously been constrained by concerns about data privacy and competitive-use agreements. With this access, academic partners are advancing their own research while providing real-world insights into care delivery.

The resulting Sanford Data Collaborative, now in its second year, has attracted regional and national partners and is already beginning to deliver data-driven innovations that are improving care delivery, patient engagement, and care access. Here we describe three that hold particular promise.

  • Developing Prescriptive Algorithms…
  • Augmenting Patient Engagement…
  • Improving Access to Care…(More)”.

How to Make A.I. That’s Good for People

Curated on Posted on by Stefaan Verhulst

Fei-Fei Li in the New York Times: “For a field that was not well known outside of academia a decade ago, artificial intelligence has grown dizzyingly fast. Tech companies from Silicon Valley to Beijing are betting everything on it, venture capitalists are pouring billions into research and development, and start-ups are being created on what seems like a daily basis. If our era is the next Industrial Revolution, as many claim, A.I. is surely one of its driving forces.

It is an especially exciting time for a researcher like me. When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face. But thanks to the growth of big data, advances in algorithms like neural networks and an abundance of powerful computer hardware, something momentous has occurred: A.I. has gone from an academic niche to the leading differentiator in a wide range of industries, including manufacturing, health care, transportation and retail.

I worry, however, that enthusiasm for A.I. is preventing us from reckoning with its looming effects on society. Despite its name, there is nothing “artificial” about this technology — it is made by humans, intended to behave like humans and affects humans. So if we want it to play a positive role in tomorrow’s world, it must be guided by human concerns.

I call this approach “human-centered A.I.” It consists of three goals that can help responsibly guide the development of intelligent machines.

First, A.I. needs to reflect more of the depth that characterizes our own intelligence….

No technology is more reflective of its creators than A.I. It has been said that there are no “machine” values at all, in fact; machine values arehuman values. A human-centered approach to A.I. means these machines don’t have to be our competitors, but partners in securing our well-being. However autonomous our technology becomes, its impact on the world — for better or worse — will always be our responsibility….(More).

Data Science Landscape

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Book edited by Usha Mujoo Munshi and Neeta Verma: “The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains….

In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume. …(More)”.

Trustworthy data will transform the world

Curated on Posted on by Stefaan Verhulst

John Thornhill at the Financial Times: “The internet’s original sin was identified as early as 1993 in a New Yorker cartoon. “On the internet, nobody knows you’re a dog,” the caption ran beneath an illustration of a pooch at a keyboard. That anonymity has brought some benefits. But it has also created myriad problems, injecting distrust into the digital world. If you do not know the provenance and integrity of information and data, how can you trust their veracity?

That has led to many of the scourges of our times, such as cyber crime, identity theft and fake news. In his Alan Turing Institute lecture in London last week, the American computer scientist Sandy Pentland outlined the massive gains that could result from trusted data.

The MIT professor argued that the explosion of such information would give us the capability to understand our world in far more detail than ever before. Most of what we know in the fields of sociology, psychology, political science and medicine is derived from tiny experiments in controlled environments. But the data revolution enables us to observe behaviour as it happens at mass scale in the real world. That feedback could provide invaluable evidence about which theories are most valid and which policies and products work best.

The promise is that we make soft social science harder and more predictive. That, in turn, could lead to better organisations, fairer government, and more effective monitoring of our progress towards achieving collective ambitions, such as the UN’s sustainable development goals. To take one small example, Mr Pentland illustrated the strong correlation between connectivity and wealth. By studying the telephone records of 100,000 users in south-east Asia, researchers have plotted social connectivity against income. The conclusion: “The more diverse your connections, the more money you have.” This is not necessarily a causal relationship but it does have a strong causal element, he suggested.

Similar studies of European cities have shown an almost total segregation between groups of different socio-economic status. That lack of connectivity has to be addressed if our politics is not to descend further into a meaningless dialogue.

Data give us a new way to measure progress.

For years, the Open Data movement has been working to create public data sets that can better inform decision making. This worldwide movement is prising open anonymised public data sets, such as transport records, so that they can be used by academics, entrepreneurs and civil society groups. However, much of the most valuable data is held by private entities, notably the consumer tech companies, telecoms operators, retailers and banks. “The big win would be to include private data as a public good,” Mr Pentland said….(More)”.

Why the web has challenged scientists’ authority – and why they need to adapt

Curated on Posted on by Stefaan Verhulst

Andrew J. Hoffman at The Conversation: “Academia is in the midst of a crisis of relevance. Many Americans are ignoring the conclusions of scientists on a variety of issues including climate change and natural selection. Some state governments are cutting funding for higher education; the federal government is threatening to cut funding for research. Resentful students face ever increasing costs for tuition.

And distrustful segments of society fear what academia does; one survey found that 58 percent of Republicans and Republican-leaning independents say colleges and universities have a negative effect on the way things are going in the country.

There are multiple causes for this existential crisis, but one in particular deserves special attention. The web is fundamentally changing the channels through which science is communicated – who can create it, who can access it and ultimately what it is. Society now has instant access to more news and information than ever before; knowledge is being democratized. And as a result, the role of the scientist in society is in flux.

But rather than facing this changing landscape head on, research shows that many in academia are resisting its inevitability. In many ways, this response has parallels to that of the Catholic Church in the wake of the invention of the printing press and its role in hastening the Protestant Reformation. I hope this comparison offers a compelling provocation for the scientific community to come to grips with the cataclysmic changes we are now living through and ignore at our peril….(More)”.