If There is a Problem with Science Journalists, It's That They Are Losing Their Jobs...But There Is Hope In a New Model
Matthew C. Nisbet, Ph.D. is Associate Professor of Communication Studies, Public Policy, and Urban Affairs at Northeastern University. Nisbet studies the role of communication and advocacy in policymaking and public affairs, focusing on debates over over climate change, energy, and sustainability. Among awards and recognition, Nisbet has been a Visiting Shorenstein Fellow on Press, Politics, and Public Policy at Harvard University's Kennedy School of Government, a Health Policy Investigator at the Robert Wood Johnson Foundation, and a Google Science Communication Fellow. In 2011, the editors at the journal Nature recommended Nisbet's research as “essential reading for anyone with a passing interest in the climate change debate,” and the New Republic highlighted his work as a “fascinating dissection of the shortcomings of climate activism."
Sometimes I just don't get it. Whether it is climate change, evolution, or vaccination, the more literal minded among science bloggers and pundits typically blame science journalists for breakdowns in public communication.
Yet as I discuss in a forthcoming article at Skeptical Inquirer magazine, constantly blaming the media messenger deflects attention away from the fact that scientists and experts themselves make mistakes when it comes to public engagement (or that literal minded bloggers create more heat than understanding). As I often like to point out in talks, research shows that science journalists for the most part do a terrific job in covering science. Instead, if there is a problem with science journalists, it's that they are losing their jobs at major news organizations.
Yet some science journalists are making a similar mistake in diagnosing and responding to this problem. They pin job cuts on a lack of respect for science, when in fact specialists across beats and subject areas are losing their jobs, from foreign policy to business reporters. The decline in the science beat is not because of a lack of cultural respect for science, it's basic media economics.
Many science journalists also make a mistake in thinking about the future via the lens of the past, decrying a "crisis in science journalism," and assuming that the only way forward is to regain their jobs and status at major media outlets.
Unfortunately, not only is this unlikely to happen, it also ignores the great potential for a transition to a new model of science journalism that takes advantage of digital technology and emerging non-profit partnerships. In the forthcoming article at Skeptical Inquirer (a decades old non-profit), I note the potential and the need for investment in these new formats and models for science journalism. As I write:
Community initiatives of a different kind should focus on building a "participatory" public media infrastructure for science and environmental information. Most local newspapers have cut meaningful coverage of science and the environment. As a result, many communities lack the type of relevant news and information that is needed to adapt to environmental challenges or to reach collective choices about issues such as nanotechnology and biomedical research.
As a way to address these local-level information gaps, the Obama administration should fund public television and radio organizations as community science information hubs. These initiatives would partner with universities, museums, and other local media outlets to share digital content that is interactive and user-focused. The digital portals would feature in depth reporting, blogs, podcasts, shared video, news aggregation, user recommendations, news games, social networking, and commenting.
We should think of these new models for non-profit science media as an integral part of the infrastructure that local communities need to adapt to climate change, to move forward with sustainable economic development, and to participate in the governance of science, medicine, and technology. A community without a quality source of science information--packaged in a way that is accessible and relevant to most members of that community--will be ill prepared to make careful decisions about costs, risks, benefits, and ethics.
Here at American University, the work of Jan Schaffer, director of the Knight Foundation supported J-Lab has influenced my thinking in this area. So has the work of Pat Aufderheide and Jessica Clark at the Center for Social Media and Chuck Lewis at the Investigative Reporting Workshop. Lewis for example penned this vision of the future of investigative journalism for the Columbia Journalism Review, a model that easily applies to science journalism. Aufderheide and Clark offer a vision of the future of public media, that similarly translates easily to science journalism.
At CJR's The Observatory, a leading example of the digital non-profit model, Curtis Brainard notes the following observations from Schaffer, given at a recent panel at the Woodrow Wilson Center on the future of science journalism:
Despite such apprehensions, however, everybody agreed the industry is trying hard to figure out the best way forward. Schaffer, the executive director of J-Lab, said that her organization--which, according to its Web site, funds "participatory journalism" projects that "use new technologies to help people actively engage in critical public issues"--has funded about sixty startups around the country over the last four years. "News vacuums will be filled, they just might not all be filled by big-J journalists," she said. "How that's going to play out we don't know yet."
Schaffer described a number of "random" and "organized" acts of journalism, such as uploading amateur photos and videos of breaking news events, on the one hand, and "civic-media networks" on the other. Professional news outlets are launching their own experiments, as well. In the last few months, content sharing deals have been struck between The Washington Post and Baltimore Sun, The Philadelphia Inquirer and Pittsburgh Post Gazette, eight top papers in Ohio, three in Florida, and two in Oklahoma. Schaffer did not say how such agreements might affect science coverage. In that department, recent, online news outlets were the focus.
Schaffer showed a clip of the upcoming J-Lab video called New Media Makers, which profiles, among others, one of the more acclaimed startups, the non-profit Voice of San Diego. News editor Andrew Donohue tells J-Lab that his team emphasizes a few core issues--including environment, science, and technology--that are important to the local community. Other online news outlets focus exclusively on such issues. Dykstra's Mother Nature Network is one example. Another that came up often was the Environment & Energy Publishing group.
Maybe try counseling first before you try this, married folks.
Why self-control makes your life better, and how to get more of it.
(Photo by Geem Drake/SOPA Images/LightRocket via Getty Images)
- Research demonstrates that people with higher levels of self-control are happier over both the short and long run.
- Higher levels of self-control are correlated with educational, occupational, and social success.
- It was found that the people with the greatest levels of self-control avoid temptation rather than resist it at every turn.
Ready your Schrödinger's Cat Jokes.
- For a time, quantum computing was more theory than fact.
- That's starting to change.
- New quantum computer designs look like they might be scalable.
Quantum computing has existed in theory since the 1980's. It's slowly making its way into fact, the latest of which can be seen in a paper published in Nature called, "Deterministic teleportation of a quantum gate between two logical qubits."
To ensure that we're all familiar with a few basic terms: in electronics, a 'logic gate' is something that takes in one or more than one binary inputs and produces a single binary output. To put it in reductive terms: if you produce information that goes into a chip in your computer as a '0,' the logic gate is what sends it out the other side as a '1.'
A quantum gate means that the '1' in question here can — roughly speaking — go back through the gate and become a '0' once again. But that's not quite the whole of it.
A qubit is a single unit of quantum information. To continue with our simple analogy: you don't have to think about computers producing a string of information that is either a zero or a one. A quantum computer can do both, simultaneously. But that can only happen if you build a functional quantum gate.
That's why the results of the study from the folks at The Yale Quantum Institute saying that they were able to create a quantum gate with a "process fidelity" of 79% is so striking. It could very well spell the beginning of the pathway towards realistic quantum computing.
The team went about doing this through using a superconducting microwave cavity to create a data qubit — that is, they used a device that operates a bit like a organ pipe or a music box but for microwave frequencies. They paired that data qubit with a transmon — that is, a superconducting qubit that isn't as sensitive to quantum noise as it otherwise could be, which is a good thing, because noise can destroy information stored in a quantum state. The two are then connected through a process called a 'quantum bus.'
That process translates into a quantum property being able to be sent from one location to the other without any interaction between the two through something called a teleported CNOT gate, which is the 'official' name for a quantum gate. Single qubits made the leap from one side of the gate to the other with a high degree of accuracy.
Above: encoded qubits and 'CNOT Truth table,' i.e., the read-out.
The team then entangled these bits of information as a way of further proving that they were literally transporting the qubit from one place to somewhere else. They then analyzed the space between the quantum points to determine that something that doesn't follow the classical definition of physics occurred.
They conclude by noting that "... the teleported gate … uses relatively modest elements, all of which are part of the standard toolbox for quantum computation in general. Therefore ... progress to improve any of the elements will directly increase gate performance."
In other words: they did something simple and did it well. And that the only forward here is up. And down. At the same time.
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