All posts by Richard Gayle

Five important things to remember in science

blackjack by banspy

Avoid the career virus!
[Via Naturally Selected]

When we come down with flu, we do everything we can to get rid of the virus and get better. But when we come down with mind viruses—or ideas that harm us rather than help us—we often just accept them as “how things are,” doing nothing to counter their damaging effects.

There’s one mind virus, particularly acute these days, we should all pay attention to:

Science is a real struggle. It is a dog eat dog endeavor, and if you aren’t hyper competitive, super smart, and working 80 hours a week, you won’t succeed.

This mind virus was highlighted by the recent case of the postdoc poisoning his colleague’s cell cultures, because he was afraid she might be getting ahead. Not only was the act itself borne of this mind virus, but so were many of the comments following it. “That’s just the way it is in science these days,” was a common refrain in the blogosphere.

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Such ultracompetitiveness often does more harm in science than good. Pushing yourself may help sometimes but viewing everything as a zero-sum game where the only way to move yourself forward is to harm others is not a long-term successful strategy.

Because science is a small world and it gets around when you abuse others. Your brilliance may be enough to overcome the distaste of others but you can find yourself quite alone when you need help the most.

Here are the 5 things Morgan suggests that can help:

  1. Learn to live “in the moment” and enjoy every moment. If you’re in the moment, then you’ll realize that you have great power to make things happen. Some people refer to this as “mindfulness.” It works.
  2. Don’t focus on what success others are having, or what you haven’t achieved yet. Focus only on your own success and what you want to achieve.
  3. Help other people rather than being afraid of them. The more you help others, the more it will come back to help you. his doesn’t mean giving away your results to a competitor—but it does mean helping a lab-mate or a colleague whenever you have the chance.
  4. Get enough sleep. Many of us academics think that the only way to get ahead is to spend long hours working, while depriving ourselves of sleep. That’s like driving your car without enough engine oil. You can get away with it for a while, but eventually the engine blows out.
  5. Realize that the only thing you can control in your life is what’s in front you, here and now. You can’t control the competition. You can’t control whether your experiments will have the outcome you want. Make the most of what you can control, by doing the right work at the right time—and ignore the rest.

Not only will your life improve, but very likely you will be more productive and a lot happier. Work towards win-win and things will be much better. There can be more than one blackjack at the table.

The conversation I moderated

On September 14, I moderated a discussion between Ash Awad, Vice President of Energy & Facility Services at McKinstry; and Daniel Friedman, Dean of the College of Built Environments at the University of Washington.

The topic was A Conversation About Sustainable Design and the Seattle Channel videotaped it. It was a fantastic evening and I had a wonderful time sitting between two great speakers.

Being forced to deal with change

ethernet cable by doortoriver

Feature: There is no Plan B: why the IPv4-to-IPv6 transition will be ugly
[Via Ars Technica]

Twenty years ago, the fastest Internet backbone links were 1.5Mbps. Today we argue whether that’s a fast enough minimum to connect home users. In 1993, 1.3 million machines were connected to the Internet. By this past summer, that number had risen to 769 million— and this only counts systems that have DNS names. The notion of a computer that is not connected to the Internet is patently absurd these days.

But all of this rapid progress is going to slow in the next few years. The Internet will soon be sailing in very rough seas, as it’s about to run out of addresses, needing to be gutted and reconfigured for continued growth in the second half of the 2010s and beyond. Originally, the idea was that this upgrade would happen quietly in the background, but over the past few years, it has become clear that the change from the current Internet Protocol version 4, which is quickly running out of addresses, to the new version 6 will be quite a messy affair.

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While somewhat technological babble, the problems seen with running out of Internet addresses are very similar to ones we will continue to face over the coming years – having to make massive changes at the last moment because we did not do a good job thinking about the transition.

Like climate change, redoing the Internet’s addressing protocol will happen whether we want it or are prepared for it. And like climate change, we have wasted 20 years dithering.

And the transition may end up costing money, as older devices have to be replaced because they no longer work properly.

So, the next few years might be a nice demonstration of just how adaptive and resilient many organizations are. And not isolated organizations but almost all of them. One failure along the route can remove access for many.

We will be forced into a new regime where we have no experience and no real way to test possible solutions. Instead of one organization dropped in the deep end to sink or swim, imagine 50 all tied together, so if one goes down, the others may be dragged down also.

I figure we will muddle through like we have but a lot of productivity may be lost for some time as we make the transition that everyone knew we were going to have to make 20 years ago.

It does not give much hope that we will be any different with other complex problems facing us unless we change the way we do things.

A most innovative way to present some ideas on innovation

Where Good Ideas Come From, 4 minute version

Via Boing Boing]

Here’s a short video promo for Steven Johnson’s upcoming Where Good Ideas Come From: The Natural History of Innovation, a lecture on the way that transformative ideas incubate for long times, come out of left field, and thrive best when there’s no one foreclosing on them because they’re too weird or disruptive.

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I love this video. It encapsulates how new ideas come into being and that communication is critical. Organizations that make it easy for individuals to communicate and exchange ideas will have more innovative ideas.

This is slightly different than creating a social network that adopts and adapts to change easily, although they go hand in hand. Both reduce the friction of information exchange. What Johnson discusses are the connections that help disruptive innovators come up with their disruptive technologies. They connect to a wide range of other communities which can provide great ideas.

An adaptive community has the ability to filter and adopt new ideas rapidly. The good ideas get moved through rapidly, often interacting with others along the way to evolve into great ideas. There will also be strong links back to the disruptors, creating a knowledge cycle that gets to a solution faster.

A poorly adaptive community puts a road block on the ability of disruptors to connect to outside communities while at the same time providing sparse routes for their ideas to percolate through the organization. These communities not only have fewer innovative ideas, because of the lack of good communication linkages but will also be very resistant to adopting anything new, even if shown that the innovation is useful.

In a well balanced community, the communication between people has little to slow it down, disruptors connect to the communities they need for generating ideas, filters and mediators help discover the great ideas and pass them onto the doers, who can often reduce these ideas to practice. With the right feedback loops, this can be very efficient.

Web 2.0 approaches can be very effective in helping identify and support these types of adaptive communities.

The right mix in a social network is more important than anything else for driving innovation

innovative by Stig Nygaard

Is Narcissism Good for Business?
[Via ScienceNOW]

Narcissists, new experiments show, are great at convincing others that their ideas are creative even though they’re just average. Still, groups with a handful of narcissists come up with better ideas than those with none, suggesting that self-love contributes to real-world success.

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The narcissists – a term I think may be misused here – are more likely to draw from the disrupter or mediator side of a network. They deviate from the normal flow of things in a network.

I hate the term ‘innovators’ applied to the earliest adopters in a network. Anyone can be innovative. WHat we are looking for here are those that most rapidly adopt changes and then are the most able to convince the community to adopt them

These experiments showed that a passionate pitcher could get people to adopt their idea, even when the idea was rated average by reading about it. The personal interactions were needed to pitch even an average idea.

But what was really interesting in the work was that teams of only disruptors (called narcissists) or only doers (no narcissists) were very poor at coming up with great ideas and innovations.

There are 5 steps everyone goes through when presented with a new idea and when deciding whether to adopt it. A key one is evaluation. I would suspect that teams with only disruptors race through this step so fast – that is why they are the earliest to change – that they really do not arrive at much that is worthwhile. Every idea seems as good as any other.

On the other hand, doers usually get stuck at the evaluation stage, only slowly taking the leap to adoption.the slowness to adopt change. So a team of doers would not get much done because they could never decide, getting stuck at evaluation.

But a well mixed team, one with both disruptors and doers, was the best one. This makes absolute sense. Because the doers slowed down the disruptors, forcing them to explain and rationalize all those novel ideas. The doers are also forced to make a decision because of the pressure from the disruptors.

By mixing both types, the ideas get much better evaluation, making it more likely that the best ideas will be adopted by the group. Each type overcomes the blind spots of the other – preventing the disruptors from moving too many ideas too rapidly through evaluation, while forcing the doers to pick the best ideas to adopt.

I can hardly wait for this paper to come out. It demonstrates that the best communities has the right mix of traits and that a community that is overbalanced in any one sector will be very slow to create and adopt innovative ideas.


Dealing with failure successfully

failure by jurvetson

What Google Could Learn From Pixar
[Via Daring Fireball]

Peter Sims:

Despite an unbroken string of 11 blockbuster films, Catmull regularly says, “Success hides problems.” It’s an insight Google should acknowledge and act on.

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One thing the article mentions is that Pixar is always working to find solutions to problems. I wrote about this before, where I sketched out some of the technical problems each Pixar movie was designed to solve.

As Pixar says, “Success hides problems.” The complementary idea, that “Failure reveals problems”, is one very few organizations want to examine. At many companies, failure leads to loss of employment. The organizations seem to believe that as long as someone never fails, then they must be better than others. Fear of failure prevents innovation. This leads to a maladaptive company, one that is not resilient enough to deal with failure when it inevitably happens, because the hidden problems do eventually pierce the bubble of complacency.

In a complex world, failure often tell you more than success. I use the game I learned in Junior High School called Bulls and Creots as an example. Here, outright failure to get anything right actually gives you more knowledge than any other single guess.

Similarly, with some very complex systems, the only way to get to clarity is to make something fail, to make it work wrong. In biological systems, some of the most insightful work has come from disabling a part of the system and seeing what happens. So, for example, in a metabolic pathway with a large number of enzymes, looking at a single enzyme tells us little about the process, since in many cases we do not know what the enzyme really does.

But disable the enzyme and what will happen? If it is a critical part of the pathway, then none of the final product will be produced. Instead, a large amount of an intermediary product will build up – the intermediary product that the disabled enzyme was supposed to work with but can’t. So, like throwing a wrench in an assembly line backs up everything behind the wrench, a disabled enzyme results in a backup of intermediary product. Study that product and you will know what the enzyme does. Do this for each enzyme in the pathway and you can then delineated what happens at each step as you add material at the beginning of the pathway.

This and other approaches yielded understanding like this, which shows the complex intermediary metabolic pathways in cells. Pretty complicated but it was only revealed through things like designed failure.

intermediary metabolism

Failure and the continuing drive to solve problems is how you keep innovation fresh and creative. Pixar gets that. Companies that do not will discover that Failure does eventually reveal problems in even successful companies and if they do not deal with that failure in a productive way, the organization could go down in flames.

And this is quite likely simply because the company has no experience with failure and will lack the resilience to deal with that Failure in a successful fashion.

All part of the great cycle of knowledge

mandala by Peter Kaminski

Open access saves $1B
[Via Naturally Selected]

A new analysis suggests that making papers open access would pump $1 billion into the U.S. economy over the next few decades.

That’s about five times the amount it costs to archive the papers, according to ScienceInsider.

The economic analysis, about the effects of a pending National Institutes of Health policy that would make all papers from federally funded research free after a delay, comes from John Houghton at Victoria University in Melbourne, Australia, and his colleagues. He has also suggested open access could save nearly half a billion euros per year in the UK, as well. You can read more about the newest model here.

Publishers, of course, have decried the proposal. Do you think such a potentially dramatic cost savings is enough to convince skeptics?

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I’m sure that the analysis will meet with some scrutiny but that is how we usually get closer to the truth. Someone takes some data to create information and produces some knowledge. Someone else takes that, adds some more data and, hopefully, creates more knowledge and a better understanding.

Cranking the cycle several times is how wisdom is achieved. So, perhaps soon we can find out if Open Access is actually a wise approach for many situations.

Apple’s iTunes Remote app and one guy

[Crossposted at A Man with a PhD]

Apple’s iTunes Remote app was developed by one person – report
[Via AppleInsider]

Apple’s iTunes Remote application for the iPhone has not been updated in over 8 months because the software was written by just one person, and he is currently busy with other projects, according to a new report which describes Apple as “a huge startup.”

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Here is how he describes the way Apple runs things:

Apple doesn’t build large teams to work on every product they make. Instead, they hire very few, but very intelligent people who can work on different projects and move around as needed.

One day you might be working on the Remote app, and the next day you might get pulled on to another project that needs your help.

The engineers on the Mac OS and iOS teams move back and forth between the two projects based on release cycles and what needs to ship next.

That is how we worked at Immunex – whatever was on fire got the bucket brigade approach. we all worked on multiple projects at the same time, allowing us to drop something that was going slow and pick up on something that needed more attention.Once we had gotten our role done, we handed it off to the next member of the bucket brigade and picked up another project.

In order to make this work well, there needs to be constant vetting of the progression by everyone involved. Any bumps in the road can be smoothed over if more eyes are on the prize.

Thus everyone feels a part of a successful project, even if they had a little part. Immunex’s great drug was Enbrel. I had a very small part working on that molecule quire early. While only peripheral to the amazing work done by others, I felt every bit as proud of its success.

Plus this approach keeps smart people interested and helps prevent empire building, which can be a real detriment to the rapid actions a small team needs to make.

Any company basing its success on the creativity of its employees needs to have a management style closer to Apple’s or Immunex’s.

Its late and I’m rambling about Scienceblogs

I continue to have some discussions in comments of my Scienceblogs post that results in a treatise on my part. Greg Laden is the most recent victim of my verbosity – he has a great blog.

And, as with the previous reply to David Croty, I’ve decided to put it up as a post. Mainly because I wrote so much that it deserves more recognition with its own title, for instance. Plus it is very late and I do not feel like cutting it all down. I hope it looks okay in the morning.

So I make it a post. But it covers some more of my thoughts about the community that has been forming at Scienceblogs and where it will go from here.

First, Greg’s comment:

Just to expand on the point a little: For the most part, Scienceblogs has been explicitly non-communal. It is a network, there are communication channels (but not used by most bloggers) and things do get organized now and then (like a fundraising drive that about 20% of the blgogers engage in every year).

This is all very much on purpose. We blog as indy bloggers, and the ‘overlords’ (Seed’s Sb staff) organize all this internal network wide link love (reader’s picks, ed’s picks, most active, Page 3.14, the front page, 24 hour page, RSS feeds, etc.) and make links between things like NYT and NGS. But as bloggers, we’re just blogging away.

In once sense, I would say that PepsiBlawg Gate was an example of a “community” forming out of a thing that really wasn’t much of a community because most bloggers had fairly negative feelings about the blog so some degree of organization happened.

It would be interesting in the end to look at the kinds of things people do and their reaction to the Pepsiblog. There may be some stark (and thus perhaps not really that interesting in the end) patterns there. For the most part, labby research scientists did not quit, journalists and book writers did, for instance. Which brings up a point that Bora has almost talked me out of but not quite yet: Journalistic modus operendi, ethics, etc. are fundamentally different than for scientists. Not saying one is better than the other … just that they are fondling different parts of the elephant.

Which is a thought I’ll leave you with but I don’t recommend keeping in your head for too long.

My reply:

Even though my connection with the Scienceblog community was as a reader and sometimes commenter, as a scientist I feel confident that I can provide an opinion (My family knows that I have an opinion on everything so maybe that is a personal trait rather than a professional one. But ‘as a scientist’ sounds better than ‘as a know-it-all’). Confident mainly because I have been a part of several real-life enactments of just such a ‘community’ of researchers, connected by weak ties, who, through a precipitating event by ‘outsiders,’ came together to take some sort of action.

So, I think to a certain degree we may be arguing semantics about what really defines a community. In large measure, Scienceblogs is a network with mostly weak ties, but with some links perhaps a little stronger than others. And while there was not a decided push to create a defined community with uniform rules, titles and positions, when humans work along the same lines, doing similar things – even in digital space – connections get made and a sense of comity starts to emerge.

Thus insider slang terms like Sciblings, blogchild and Overlords developed. You would see memes and arguments sweep through certain blogs. There obviously were some strong connections that provided rapid information transfer between Sciblings.

There was an nascent community just waiting for an event that would precipitate action, making many weak ties much stronger, while breaking some altogether.

In the instances I have been involved in, a bunch of independent-minded, “leave me alone to do my work” researchers came together because a decision was made by upper management that directly affected the scientists – a decision that was never discussed with them until AFTER it was made. The scientists were left out of any input in the decision, even though it affected every single one of them.

In each case, there was a rapid meeting called by the researchers to discuss what they should do. Scientists who had never been in the same room with each other were now discussing the proper response with each other. Action had to be taken and committees were formed.

Instead of a bunch of weakly tied people, there were now a lot of very strongly defined paths for communication.

Perhaps this is only an aspect of egomaniac researchers, who think they have to be informed beforehand about anything and have a part of every decision. I do not think so. I think it can happen with any community when the weak ties that are present are tugged by an outside “threat.”

Heck, I’ve seen it happen in neighborhoods when a new development appears on the city plans.

What I think happened with the PepsiBlawg Gate was a crystallization of a large fragment of the network because, to some, it became obvious that the reasons they had joined and maintained even weak ties in the network /community were in conflict with what the ‘Overlords’ wanted to do. The lack of communication, and the ‘disrespect’ that engendered, meant some sort of response was needed.

And I’ve been fascinated by that response, because it has taken many forms. Some people exited without any need for real consultation. Some did not begin to really think about it until others in the network/community that they respected made a decision – Bora being the strongest example. Still others, such as PZ, decided to take direct action and go on strike unless the ‘Overlords’ listened to them.

These are all ways one would expect different people in a community to respond to change. It is what I spend my days examining at SpreadingScience.

I do not think Scienceblogs will vanish. It’ll be different. I think there will be much more defined communication between members, with regular meetings between the bloggers and the people from Seed Media. Instead of an ad hoc sort of network/community, it may very well become a much more defined one. Like the taming of the Old West, it may be more or less attractive, depending on the outlook of the individual. The bloggers who left may very well continue to link and discuss things written on Scienceblogs. The reverse will also happen.

In effect, there will be a much wider network/community with some very strong, defined ties that were not present before. I expect other types of science blogging sites to become important – such as Science 2.0 and others. It’ll be great for most of the bloggers and their readers. It may just not be quite as optimal for Seed as it had been before when they virtually had cornered the market.

And that was kind of my point in the post. If Seed had been a little better about servicing its bloggers, it would have kept the market pretty much to itself. Now, not so much. Meaning that, as far as it might be concerned, there is a loss in value that might take some effort to recreate. Effort that it would not have needed if it had not ticked people off.

Finally, I think that the different viewpoints between scientific journalists and journalistic scientists makes for a much better description of the elephant than either alone. In any effective network/community, diversity of world views is a key part. It is very hard to solve complex problems over and over if everyone thinks the same way. It is the friction that arises from the different views that eventually allows us to make the wise decision.