Keynote by NOAA Chief Scientist, Dr. Richard Spinrad at the forum entitled, Tracking a Changing Climate: “Citizen science is part of America’s DNA. For centuries, citizens not trained in science have helped shaped our understanding of Earth.
Thomas Jefferson turned Lewis and Clark into citizen scientists when he asked them to explore the landscape, wildlife and weather during their journeys of the West.They investigated plants, animals and geography, and came back with maps, sketches and journals. These new data were some of the first pieces of environmental intelligence defining our young nation. President Jefferson instilled citizen science in my own agency’s DNA by creating the Survey of the Coast, a NOAA legacy agency focused on charting and protecting the entire coast of our Nation.
The National Weather Service’s Cooperative Observer Program, begun in 1890, is an outstanding example of citizen science. Last year, NOAA honored an observer who has provided weather observations every day for 80 years. Volunteer citizen scientists have transcribed more than 68,000 pages of Arctic ship logs, adding to the long-term climate record by populating a database with historic weather and sea ice observations. Also, citizen scientists are providing new estimates of cyclone intensity by interpreting satellite images.
There is tremendous value in the capability of citizen scientists to feed local data into their own communities’ forecasts. In September 2013, for example, formal observation systems and tracking instruments were washed out when extreme floods struck Colorado and New Mexico. By ensuring that real-time forecasts were still integrated into the National Weather Service Flood Warning System, the reports of about 200 citizen scientists contributed to what has been called the best mapped extreme rain event in Colorado history and possibly nationwide.
The Community Collaborative Rain, Hail and Snow (CoCoRaHS) Network played a pivotal role in this mapping. CoCoRaHS also shows how citizen science can help make data collection straightforward and inexpensive. To measure the impact and size of hail, for example, it uses a Styrofoam sheet covered with tin foil, creating a “hail pad” that has proven to be quite accurate.
The recognized value of citizen science is growing rapidly. NOAA has an app to crowdsource real-time precipitation data. If you feel a raindrop, or spot a snowflake, report it through NOAA’s mPING app. Precipitation reports have already topped 600,000, and the National Weather Service uses them to fine-tune forecasts…(More).”
Big Data Now
at Radar – O’Reilly: “In the four years we’ve been producing Big Data Now, our wrap-up of important developments in the big data field, we’ve seen tools and applications mature, multiply, and coalesce into new categories. This year’s free wrap-up of Radar coverage is organized around seven themes:
- Cognitive augmentation: As data processing and data analytics become more accessible, jobs that can be automated will go away. But to be clear, there are still many tasks where the combination of humans and machines produce superior results.
- Intelligence matters: Artificial intelligence is now playing a bigger and bigger role in everyone’s lives, from sorting our email to rerouting our morning commutes, from detecting fraud in financial markets to predicting dangerous chemical spills. The computing power and algorithmic building blocks to put AI to work have never been more accessible.
- The convergence of cheap sensors, fast networks, and distributed computation: The amount of quantified data available is increasing exponentially — and aside from tools for centrally handling huge volumes of time-series data as it arrives, devices and software are getting smarter about placing their own data accurately in context, extrapolating without needing to ‘check in’ constantly.
- Reproducing, managing, and maintaining data pipelines: The coordination of processes and personnel within organizations to gather, store, analyze, and make use of data.
- The evolving, maturing marketplace of big data components: Open-source components like Spark, Kafka, Cassandra, and ElasticSearch are reducing the need for companies to build in-house proprietary systems. On the other hand, vendors are developing industry-specific suites and applications optimized for the unique needs and data sources in a field.
- The value of applying techniques from design and social science: While data science knows human behavior in the aggregate, design works in the particular, where A/B testing won’t apply — you only get one shot to communicate your proposal to a CEO, for example. Similarly, social science enables extrapolation from sparse data. Both sets of tools enable you to ask the right questions, and scope your problems and solutions realistically.
- The importance of building a data culture: An organization that is comfortable with gathering data, curious about its significance, and willing to act on its results will perform demonstrably better than one that doesn’t. These priorities must be shared throughout the business.
- The perils of big data: From poor analysis (driven by false correlation or lack of domain expertise) to intrusiveness (privacy invasion, price profiling, self-fulfilling predictions), big data has negative potential.
Download our free snapshot of big data in 2014, and follow the story this year on Radar.”
Competition-Based Innovation: The Case of the X Prize Foundation
Paper by Hossain, Mokter and Kauranen, Ilkka, in the Journal of Organization Design,/SSRN: “The use of competition-based processes for the development of innovations is increasing. In parallel with the increasing use of competition-based innovation in business firms, this model of innovation is successfully being used by non-profit organizations for advancing the development of science and technology. One such non-profit organization is the X Prize Foundation, which designs and manages innovation competitions to encourage scientific and technological development. The objective of this article is to analyze the X Prize Foundation and three of the competitions it has organized in order to identify the challenges of competition-based innovation and how to overcome them….(More)”.
Doing Social Network Research: Network-based Research Design for Social Scientists
New book by Garry Robins: “Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you’ll find practical, ‘how to’ advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers:
- Fundamental network concepts and theories
- Research questions and study design
- Social systems and data structures
- Network observation and measurement
- Methods for data collection
- Ethical issues for social network research
- Network visualization
- Methods for social network analysis
- Drawing conclusions from social network results
This is a perfect guide for all students and researchers looking to do empirical social network research…(More)”
The Cobweb: Can the Internet be archived?
Jill Lepore in The New Yorker: “….The average life of a Web page is about a hundred days. ….Web pages don’t have to be deliberately deleted to disappear. Sites hosted by corporations tend to die with their hosts. When MySpace, GeoCities, and Friendster were reconfigured or sold, millions of accounts vanished. …
The Web dwells in a never-ending present. It is—elementally—ethereal, ephemeral, unstable, and unreliable. Sometimes when you try to visit a Web page what you see is an error message: “Page Not Found.” This is known as “link rot,” and it’s a drag, but it’s better than the alternative. More often, you see an updated Web page; most likely the original has been overwritten. (To overwrite, in computing, means to destroy old data by storing new data in their place; overwriting is an artifact of an era when computer storage was very expensive.) Or maybe the page has been moved and something else is where it used to be. This is known as “content drift,” and it’s more pernicious than an error message, because it’s impossible to tell that what you’re seeing isn’t what you went to look for: the overwriting, erasure, or moving of the original is invisible. For the law and for the courts, link rot and content drift, which are collectively known as “reference rot,” have been disastrous. In providing evidence, legal scholars, lawyers, and judges often cite Web pages in their footnotes; they expect that evidence to remain where they found it as their proof, the way that evidence on paper—in court records and books and law journals—remains where they found it, in libraries and courthouses. But a 2013 survey of law- and policy-related publications found that, at the end of six years, nearly fifty per cent of the URLs cited in those publications no longer worked. According to a 2014 study conducted at Harvard Law School, “more than 70% of the URLs within the Harvard Law Review and other journals, and 50% of the URLs within United States Supreme Court opinions, do not link to the originally cited information.” The overwriting, drifting, and rotting of the Web is no less catastrophic for engineers, scientists, and doctors. Last month, a team of digital library researchers based at Los Alamos National Laboratory reported the results of an exacting study of three and a half million scholarly articles published in science, technology, and medical journals between 1997 and 2012: one in five links provided in the notes suffers from reference rot. It’s like trying to stand on quicksand.
The footnote, a landmark in the history of civilization, took centuries to invent and to spread. It has taken mere years nearly to destroy. A footnote used to say, “Here is how I know this and where I found it.” A footnote that’s a link says, “Here is what I used to know and where I once found it, but chances are it’s not there anymore.” It doesn’t matter whether footnotes are your stock-in-trade. Everybody’s in a pinch. Citing a Web page as the source for something you know—using a URL as evidence—is ubiquitous. Many people find themselves doing it three or four times before breakfast and five times more before lunch. What happens when your evidence vanishes by dinnertime?… (More)”.
New Journal: Citizen Science: Theory and Practice
“Citizen Science: Theory and Practice is an open-access, peer-reviewed journal published by Ubiquity Press on behalf of the Citizen Science Association. It focuses on advancing the field of citizen science by providing a venue for citizen science researchers and practitioners – scientists, information technologists, conservation biologists, community health organizers, educators, evaluators, urban planners, and more – to share best practices in conceiving, developing, implementing, evaluating, and sustaining projects that facilitate public participation in scientific endeavors in any discipline.”
Why Some Teams Are Smarter Than Others
Article by Anita Woolley, Thomas W. Malone and Christopher Chabris in The New York Times: “…Psychologists have known for a century that individuals vary in their cognitive ability. But are some groups, like some people, reliably smarter than others?
Working with several colleagues and students, we set out to answer that question. In our first two studies, which we published with Alex Pentland and Nada Hashmi of M.I.T. in 2010 in the journal Science, we grouped 697 volunteer participants into teams of two to five members….
Instead, the smartest teams were distinguished by three characteristics.
First, their members contributed more equally to the team’s discussions, rather than letting one or two people dominate the group.
Second, their members scored higher on a test called Reading the Mind in the Eyes, which measures how well people can read complex emotional states from images of faces with only the eyes visible.
Finally, teams with more women outperformed teams with more men. Indeed, it appeared that it was not “diversity” (having equal numbers of men and women) that mattered for a team’s intelligence, but simply having more women. This last effect, however, was partly explained by the fact that women, on average, were better at “mindreading” than men.
In a new study that we published with David Engel and Lisa X. Jing of M.I.T…(More)”
Coop’s Citizen Sci Scoop: Try it, you might like it
Response by at PLOS: “Margaret Mead, the world-famous anthropologist said, “never doubt that a small group of thoughtful, committed citizens can change the world; indeed, it’s the only thing that ever has.”
The sentiment rings true for citizen science.
Yet, recent news in the citizen science world has been headlined “Most participants in citizen science projects give up almost immediately.” This was based on a study of participation in seven different projects within the crowdsourcing hub called Zooniverse. Most participants tried a project once, very briefly, and never returned.
What’s unusual about Zooniverse projects is not the high turnover of quitters. Rather, it’s unusual that even early quitters do some important work. That’s a cleverly designed project. An ethical principle of Zooniverse is to not waste people’s time. The crowdsourcing tasks are pivotal to advancing research. They cannot be accomplished by computer algorithms or machines. They require crowds of people, each chipping in a tiny bit. What is remarkable is that the quitters matter at all….
An Internet rule of thumb in that only 1% (or less) of users add new content to sites like Wikipedia. Citizen science appears to operate on this dynamic, except instead of a core group adding existing knowledge for the crowd to use, a core group is involved in making new knowledge for the crowd to use….
In citizen science, a crowd can be four or a crowd can be hundreds of thousands. A citizen scientist is not a person who will participate in any project. They are individuals – gamers, birders, stargazers, gardeners, weather bugs, hikers, naturalists, and more – with particular interests and motivations.
As my grandfather said, “Try it, you might like it.” It’s fabulous that millions are trying it. Sooner or later, when participants and projects find one another, a good match translates into a job well done….(More)”.
Motivations for sustained participation in crowdsourcing: The role of talk in a citizen science case study
Paper by CB. Jackson, C. Østerlund, G. Mugar, KDV. Hassman for the Proceedings of the Forty-eighth Hawai’i International Conference on System Science (HICSS-48): “The paper explores the motivations of volunteers in a large crowdsourcing project and contributes to our understanding of the motivational factors that lead to deeper engagement beyond initial participation. Drawing on the theory of legitimate peripheral participation (LPP) and the literature on motivation in crowdsourcing, we analyze interview and trace data from a large citizen science project. The analyses identify ways in which the technical features of the projects may serve as motivational factors leading participants towards sustained participation. The results suggest volunteers first engage in activities to support knowledge acquisition and later share knowledge with other volunteers and finally increase participation in Talk through a punctuated process of role discovery…(More)”
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New open access journal will publish across all disciplines
Claudia Lupp at Elsevier: “When it comes to publishing, there is no one-size-fits-all approach or format. In years gone by, getting published was largely limited to presenting research in a specialized field. But with the vast increase in research output – and more and more researchers collaborating across borders and disciplines – things are changing rapidly. While there is still a vital role for the traditional field-specific journal, researchers want more choices of where and how to publish their research. Journals that feature sound research across all disciplines significantly broaden those much-coveted publishing options.
To expand and refine that concept even further, Elsevier is preparing to collaborate with the research community to develop an open access journal covering all disciplines on a platform that will enable continual experimentation and innovation. Plans include improving the end-to-end publishing process and integrating our smart technologies to improve search and discovery.
The new journal will offer researchers a streamlined, simple and intuitive publishing platform that connects their research to the relevant communities. Articles will be assessed for sound research rather than their scope or impact….
We are building an online interface that provides authors with a step-by-step, quick and intuitive submission process. As part of a transparent publishing process, we will alert authors on the progress of their submitted papers at each stage.
To streamline the editorial process, we plan to use assets and technology developed by Elsevier. For example, by using data from Scopus and the technology behind it, we can quickly match papers to relevant editors and reviewers, significantly shortening peer review times….
Once papers have been reviewed, edited and published, the goal is to bring this vast amount of information to readers and help them make sense of it for their own research. Every reputable journal aims to publish papers that are accurate and disseminate them to the right reader to support the advancement of science. But how do you do that effectively when there are more researchers and research papers than ever before?… (More)”
The new journal will offer researchers a streamlined, simple and intuitive publishing platform that connects their research to the relevant communities. Articles will be assessed for sound research rather than their scope or impact….
We are building an online interface that provides authors with a step-by-step, quick and intuitive submission process. As part of a transparent publishing process, we will alert authors on the progress of their submitted papers at each stage.
To streamline the editorial process, we plan to use assets and technology developed by Elsevier. For example, by using data from Scopus and the technology behind it, we can quickly match papers to relevant editors and reviewers, significantly shortening peer review times….
Once papers have been reviewed, edited and published, the goal is to bring this vast amount of information to readers and help them make sense of it for their own research. Every reputable journal aims to publish papers that are accurate and disseminate them to the right reader to support the advancement of science. But how do you do that effectively when there are more researchers and research papers than ever before?… (More)”