Author: Bernadette K. Cogswell

Reboot: Architecture of Scientific Discovery Series

Reboot: Architecture of Scientific Discovery Series

Dear Fellow Discoverer’s,

Just a quick note to update you on the Architecture of Scientific Discovery blog post series. You’ve been patient! But let’s just say there are a lot of “lost log entries” from this series.

The old unpublished posts are now ready to put up on the site. Here’s your “Quickstart” guide for jumping back in to the re-worked series:

You can start with this post for an updated overview of the mega-series on my scientific discovery framework. Eventually, that post will link to all other posts in the series. Bookmark that page for easy reference.

• I’ve picked a running science example to highlight concepts in the series. Make sure to read this old post to find out about leftover plutonium from nuclear weapons.

• I’ve also added a new fictional character to illustrate how concepts play out in projects. Read this old post about Mrs. Mulliver to get caught up on her origin story.

The full series will be posted by the end of November to The Scientist’s Log (the blog) here on The Insightful Scientist website (InSci for short).

I’ve taken in feedback and heavily edited and updated the original post style:

• Posts are shorter, simpler, and easier to read.
• Posts contain more links for you to dig deeper.
• Posts focus more on how content directly affects you.

Leave me feedback on ways to improve the posts, either in the comments or by email at thephysicist@insightfulscientist.com.

And let me know what you’d like to see in the How-To series I’m working on (The Scientist’s Repertoire part of the website). These will be short tutorials/recipes for activities you can do to support your scientific discovery efforts.

Remember, discovery awaits the mind that pursues it. Get ready to join the pursuit!

Happy Reading,
The Physicist

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

zen habits (achieving purpose)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “Reboot: Architecture of Scientific Discovery Series”, The Insightful Scientist Blog, October 7, 2022.

 

[Page feature photo:  Photo by Tom Grünbauer on Unsplash.]

Architecture of Scientific Discovery: A productivity system for scientists

Architecture of Scientific Discovery: A productivity system for scientists

The Architecture of Scientific Discovery (ASD) is my framework for understanding all the levers and you knobs you can pull to produce scientific discoveries in your own work.

The Architecture of Scientific Discovery is different, but works with the scientific method.

The scientific method focuses on how to create valid, rigorous, reproducible observations and predictions about the natural world.

Overviews and guides laying out the scientific method teach you how to run trustworthy experiments and develop well-grounded claims about the world.

But what the scientific method leaves out is…well…you.

It doesn’t acknowledge that most science is done by real people. Or that those people have different capacities, biases, and mindsets.

The scientific method also glosses over an underlying performance goal. Scientific discovery.

We intuitively know there is a difference between regular science and scientific discovery.

Both need the scientific method. But discussions of scientific performance almost never talk about what makes the difference.  Or how you can not just contribute to science, but make scientific discoveries.

The Architecture of Discovery is designed to fill that performance gap and you put back in the equation.

As the physicist behind The Insightful Scientist website, my mission is to figure out what we can do to turn our passion for science into discovery-level performance and pass it on to you. I find, create, and share tips, tricks, and tools to let you pursue your highest contribution to science.

We can all be insightful scientists.

We can all make discoveries.

You just need to know how to start.

This post is an index to all 33 posts in my mega-series about the Architecture of Scientific Discovery.

The posts cover the six core areas that make the framework and how they affect your own work.

You can also check out the Research Spotlight section of the website. There I summarize classic and cutting-edge research on topics affecting science performance.  Also, the Discovery Library has a searchable index of deep reads for both online and offline.

But it’s not just about information here on The Insightful Scientist website.  I’ll also share tools to help you get scientific discovery done.

The Scientist’s Repertoire, The Illustrated Scientist, and Spark Points offer how-to’s, visual guides, and printables. I take pursuing discovery seriously here at The Insightful Scientist. These tool and tips are here to help you convert knowledge into action and results.

But to make something happen, you first have to get clear on what you’re trying to produce and what affects your results.

So let’s get clear on what scientific discovery is all about.  Below is an indexed list of links to all the posts in the Architecture of Scientific Discovery (ASD) series.  Dig in.  And get discovery done!

If you’re short on time, don’t worry.  You can jump in and out of the series anywhere.  The posts are each standalone.  If you want to read the whole series in order, just read through the posts in the order they are listed below.

The original series of posts have been removed and updated (read about that here) to be easier to read.

Updated versions will be uploaded by the end of November 2022 activating links.

 

Architecture of Scientific Discovery Complete Series

 

Needed pre-reading posts

Mega-series overview post

Mini-series overview posts and sub-posts

  • Scientist’s Repertoire Overview (M.A.S.K):  Prioritize building your portfolio of practices before building your portfolio of products for scientific discovery
    • Mindset –  Your attention is a camera, change lenses to boost your discovery ability
    • Activities –  You can convert scientific discovery from an art to a skill by doing small tasks
    • Skills –  Scientific discovery skills are your recipes for combining intentions with actions
    • Knowledge –  What you know determines what you can discover in science
  • Discovery Capacities Overview:  Making a scientific discovery isn’t just for Einsteins
    • Innovation – When applying the innovation mantra of doing it “better” in science stops you from getting it done
    • Invention – When building your own tools is the way to build new science ideas
    • Insight Overview (M.U.V.):  Changing how you think of scientific insight transforms impostor syndrome into expertise
      • Misperceived –  Knowing the wrong things keeps you from discovering new things
      • Unaware –  Your lack of information is positive feedback for making a scientific discovery
      • Vague –  Having a vague understanding in science kills your discoveries before they start
  • Discovery Qualities Overview (R.U.N.):  Memorizing the definition of “scientific discovery” lets you actually make one
    • Radical –  Making a scientific discovery means you can always define a clear before and after
    • Universal –  Making a scientific discovery means you can predict more about a lot of things
    • Novel –  Making a scientific discovery means you are not the only one who can see and do something
  • Discovery Classes Overview:  Knowing the three levels of scientific discovery will end your fear of failure
    • Minor –  Mastering the first level of scientific discovery lets you fail upwards
    • Major –  Mastering the second level of scientific discovery turns your passion into performance
    • Legacy –  Mastering the third level of scientific discovery let’s you change your future
  • Discovery Categories Overview:  Knowing the type of scientific discovery you are trying to make can save you years of effort
    • Attribute –  Finding new properties of known objects is a beginner-friendly way to make a scientific discovery
    • Object –  Finding new objects is only one way you can make a scientific discovery
    • Mechanism –  You should try to discover how and why things happen and help save the world
  • Discovery Cycle Overview:  A mental picture of the scientific discovery cycle is your ultimate personal coach
    • Question –  Asking a serious questions moves your odds of making a scientific discovery from impossible to possible
    • Ideation –  When to overthink things to help yourself make a scientific discovery
    • Articulation –  How a concept called “articulation” explains where your good science ideas die
    • Evaluation –  Why your wrong ideas and failed attempts move you toward making a scientific discovery
    • Verification –  How to know when you can finally claim (and celebrate) that you’ve made a scientific discovery

Mega-series index post

  • You’re on it!

 

[Page feature photo:  Photo by Pierre Châtel-Innocenti on Unsplash.]

A mental picture of the scientific discovery cycle is your ultimate personal coach

A mental picture of the scientific discovery cycle is your ultimate personal coach

In our ideal imagination someone would always be able to give us an exact game plan to achieve our dreams, full of steps we know exactly how to do.

That kind of recipe would be comforting and make us more confident.

I can’t give you that.

But what I can give you is a mental picture of the five key phases that make a scientific discovery happen.  It’s just one of six core components of my scientific discovery framework (you can read about that here).

Equipped with a mental picture, it will be easier to see where you’re losing momentum and look for ways to fire up your progress.

Let’s dive into this “discovery cycle”.

The five evolution phases of scientific discovery, in order, are:

  1. Question.  It all starts with having an unanswered question about the world that needs to be answered.  Discovery always begins by actively asking an unanswered serious question. Serious questioning is about generating compelling questions and then choosing one to go out and answer.
  2. Ideation.  Next you must form an idea about what might be the answer to your question. Productive ideas are ones that we can chip away at through real-world tests and investigations.  Ideation is the process of generating productive ideas and narrowing it down to one idea you move forward on.
  3. Articulation. Productive ideas don’t investigate themselves. You’ve got to put it in a format that lets you determine your idea’s ability to correctly answer your serious question. Transforming something from an idea to a real-world process, procedure, gadget, or systematic concept is articulation.
  4. Evaluation. Now that you’ve articulated the idea you think might answer your question you need to put it to the test. Compare your concept against real examples. Observe and probe your data. Run your model and see if it breaks.  That’s the heart of evaluation.
  5. Verification. If your idea survives your evaluation (and most of them won’t) then it’s time to open your idea to deep challenges from others. It’s not a scientific discovery until other people have independently confirmed that your idea answers your starting question and that the way you articulated the answer holds up.  Personally, I think two separate independent verifications plus your initial investigation are ideal because good things come in threes.

And that’s the discovery cycle in a nutshell.

The scientific discovery cycle is a human learning algorithm for scientific discovery.

You may move back and forth between scientific discovery phases as you make mistakes and learn new things. That’s normal. But in the end, if you discover something new, you will have evolved through all the phases at some point in the process.

Talking with other scientists, I’ve learned that how long you’ve worked with science (not a project) affects which phase is more likely to trip you up.

People new to science tend to get stuck on the question phase.

They don’t know what a good science question looks like.  If this fits you, learning more about creativity, filling your knowledge gaps, and becoming more skilled at asking deep questions and mining published papers can help.

People who have some experience working with science, but haven’t spent a whole career on it, often struggle with the articulation phase.

They’ve got ideas, but they don’t know how to put them in productive testable forms. If this sounds like you, reading up on rapid prototyping, building mental models, and techniques like work sprints can help.

People who have made a career out of working in or around science frequently run out of ideas and struggle with ideation.

They may feel like everything’s been done. Or that every idea is bound to fail (or get ignored) anyway. Sometimes they can’t imagine better solutions than the good solutions they already know. If this describes you, then looking into techniques to get around the Einstellung effect or how to think of more “subtractive solutions” might help.

Those are the three main phases where most individuals get stuck and lose momentum in the scientific discovery cycle: the question, ideation, and articulation phases.

Just to be thorough, if the evaluation phase is where you struggle try things like practicing Fermi questions, toy model techniques, or “why not?” counter-thinking. Verification problems are usually about convincing others to engage with your proposed discoveries enough to test your ideas in a public forum. Learning better communication skills can make the difference.

Most scientific discovery projects must pass through all five evolution stages—question, ideation, articulation, evaluation, and verification—to succeed.

Knowing which stage you’re stuck in can point you toward techniques to help you get past an obstacle.

And being clear on where you are in the discovery cycle can tell you what not to do, like getting lost in brainstorming hacks (ideation) when what you need are strategies to create a new metric to measure something (articulation).

Use this discovery cycle framework like a teacher who points out where you are in your project and what needs more work.

Simply put, a mental picture of the scientific discovery cycle is your ultimate personal coach.

 

Reflection Question

What phase are you in on a discovery project you are working on, or planning, and what’s keeping you from moving to the next stage?

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

  • Mini-series overview post
  • Previous mini-series post
    • n/a
  • Next mini-series post
    • Asking a serious questions moves your odds of making a scientific discovery from impossible to possible
  • Other mini-series posts
    • When to overthink things to help yourself make a scientific discovery
    • How a concept called “articulation” explains where your good science ideas die
    • Why your wrong ideas and failed attempts move you toward making a scientific discovery
    • How to know when you can finally claim (and celebrate) that you’ve made a scientific discovery
  • Mega-series overview post
  • Top related posts

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

Bulletproof Musician (performance psychology)

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “A mental picture of the scientific discovery cycle is your ultimate personal coach”, The Insightful Scientist Blog, September 24, 2021.

 

[Page feature photo:  Photo by DeepMind on Unsplash.]

Knowing the type of scientific discovery you are trying to make can save you years of effort

Knowing the type of scientific discovery you are trying to make can save you years of effort

If we have the choice between being successful now or successful 10 years from now, most of us would choose to do it now.

It’s a no brainer.  We’re impatient by nature and like to enjoy good things as soon as possible.

The point is: we prefer to take the more direct route.

Scientific discovery is no different.  The clearer you are on what you’re trying to accomplish, the more likely you are to get it done efficiently and enjoy success sooner.

Picking a category of discovery to work on for your next project is one way to carve a straighter path to discovery.

Let’s define these discovery categories and talk about the effort needed to pursue them.

In my overview of the architecture of scientific discovery framework, I spelled out six core themes that I think power discovery.

I also wrote that scientific discovery is one of four human discovery capacities. The capacity to learn something new about the world.

That learning can be divided into scientific discovery learning categories, or discovery types. These tell you what kind of information is gained when a discovery is made.

Discovery types are one of the six core themes behind discovery.

I’ve divided the discovery types into three categories.

Attribute type discovery:   Learns about the properties of a known object.

This is the easiest discovery type.  Already knowing the object exists; probably having a way to interact with it; maybe even knowing its other properties. These make it easy to guess what else might be true.

Object type discovery:   Learns about an unknown object.

This is the next hardest to discover.  Lots of possibilities exist. And we may not have any known way to interact with the options yet.  Still, there’s a reason why someone thinks it might exist. That “why” limits the range of what it could be.

Mechanism type discovery:  Learns about how and why the world works the way it does.

This is the hardest to discover. The cause could be any source (object, property, known or unknown, etc.). Or it could be a mix of influences (factors, systems, actions, etc.). A vast number of possibilities means lots of chances to get it wrong before getting it right. It’s like looking at a parallel universe through a kaleidoscope—you have no idea what you are seeing.

Some categories are easier to make discoveries in.

That’s because the learning curve is smaller.

For attribute type discoveries the new knowledge gained is a small amount or closely connected to what we already know.

So, for attribute discoveries the learning curve is smaller.  It’s easier to think up ideas. We probably already have technologies to work with it.

In the physical science community this is called “low hanging fruit”. A little work quickly brings a sweet reward.  These kinds of discoveries are easier to achieve by small teams or by individuals in a shorter time.

In contrast, object and, especially, mechanism type discoveries have big learning curves.

You need lots of new information to narrow down the possibilities. That’s why these types of discoveries often involve more resources, like more/larger teams and decades.

No matter what type of discovery you’re after, being clear on the learning category can help you make smart choices to save effort.

Here are three reasons why knowing the type of scientific discovery you are looking for can guide your choices:

 

  • Because the discovery category tells you how large the pool of possibilities is.

The information gained for an attribute-type discovery is small, often just one characteristic or property. But for a new object or mechanism it can be a lot–many new properties, maybe a whole class of objects, or additional mechanisms that support the main discovery.  This means there are many possibilities to brainstorm and explore for discoveries in the object and mechanism categories. Start small if you are new or have limited time or resources. Try making an attribute type discovery. The range of ideas is smaller and a lot of information is already known for you to build on.  If you go for a mechanism or object type discovery, use analogies to narrow the range of possibilities by extending an example from somewhere else into a new area.  Or get a large group of people working on separate ideas so you can crank through the range of possibilities faster.

 

  • Because the discovery category suggests ways to scale back to baby steps or blow up to big leaps.

If the number of ideas or models is exploding exponentially and you’re not making any headway you can scale back to a smaller information hill and go after an attribute type discovery. Alternatively, dig around for an object or mechanism type discovery if your area is stuck in a vicious cycle of “we know everything” and/or “we’re learning nothing”.  Again, analogies from a wildly different field (like sociology to physics or vice versa) can create a quick smart starting point.

 

  • Because the discovery category tells you what you are looking for.

Here’s an obvious one, but the reminder helps:  Science mostly works by looking for something on purpose and then seeing if you find it or not. That’s because technologies and techniques are designed to look for specific evidence from the real world. Knowing what kind of information you are seeking (properties, things, processes) helps you decide what tools you need.  Another trick: use existing tools/techniques for things they weren’t originally designed to look for.  Anomalies have a way of popping up and those anomalies can be evidence for discoveries.

Determining your scientific discovery learning goal, or re-evaluating it mid-project, impacts how you plan and what you try.

Make smart choices and you can get to discovery sooner. Make unwise choices and you can set yourself back by years.

Simply put, knowing the type of scientific discovery you are trying to make can save you years of effort by matching your category to your resources.

 

Reflection Question

Looking back on past projects you’ve contributed to, or dream projects you’d like to do.  What discovery types have you thought about? What obstacles did you experience, or do you foresee?

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

Bulletproof Musician (performance psychology)

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “Knowing the type of scientific discovery you are trying to make can save you years of effort”, The Insightful Scientist Blog, July 23, 2021.

 

[Page feature photo:  Photo by Malcolm Lightbody on Unsplash.]

Knowing the three levels of scientific discovery will end your fear of failure

Knowing the three levels of scientific discovery will end your fear of failure

Just imagine you make a scientific discovery.

Really stop and feel that for a moment.

Imagine the person closest to you is talking to you right after the public announcement that confirms your discovery.

Are they smiling at you and are you smiling back? Is your heart racing happily?

Would you laugh, feel excited, have a burst of energy?

There’s a good reason why we hope to make a discovery when we start doing science. A reason beyond the endorphins and adrenaline hit, the recognition and praise.

Scientific discoveries change the world.

We intuitively know that scientific discovery is more high impact than regular science.

Making something that matters is a desire we all share.

But in science the fear of failure can keep us from trying to have that impact, to make that discovery.

Thinking about discovery as levels that we can accumulate one at a time can take the energy out of that fear and put it back into the motivation to try.

Let’s talk about those levels, which I call discovery impact classes as part of my scientific discovery framework.

Scientific impact lies on a continuum from low to high determined by how many essential qualities a discovery captures.

A quick recap if you haven’t read the post on those qualities (check it out): what makes a scientific discovery different from regular research is that the new finding has a radical, universal, or novel quality, or some combination.  Radical means it shifts our perspective. Universal means it extends our knowledge from a smaller area to a bigger one. Novel means it’s never been discovered before.

Impact classes for scientific discovery are based on the number of qualities a new finding possesses.

The more discovery qualities a science finding has, the higher, broader, and longer its impact.

I’ve identified three discovery impact classes:

Minor class discoveries possess only one of the three vital discovery qualities. So, they are radical, or universal, or novel, but not some combination.  These are the easiest class of discoveries to pursue and they are just a small step up from regular research.

Major class discoveries possess at least two essential discovery qualities.  For example, a major class discovery might find something new and shift our perspective about the world (be novel and radical).  This discovery class can really change things, but it’s harder to achieve them.

Legacy class discoveries must have all three discovery qualities.  These split the world into “before” and “after”. They bring radical, universal, and novel understanding to the table.  These are the hardest class of discovery to make.

Science spans from regular research to legacy class discoveries on an incremental spectrum defined by the discovery essential qualities.

This spectrum idea is powerful because it means we can start out further down but accumulate toward a big result over time.

Think of making a discovery like building a house.  You are building the support beam structure.  If you need to place a nail, you can try to whack it hard and hope it goes in without getting destroyed (or smashing your finger).

Or you can tap tap tap the nail with a hammer over time. Each hit drives the nail further in toward your goal and every nail that holds make the structure more secure.

Starting with regular research and then leveling up by tap tapping at minor class discoveries, then major, then legacy is a solid way to approach your discovery goals. And you’re less likely to get hurt or break something in the process. The more hits and nails you get in the stronger your house of knowledge gets.

Understanding the classes and that discovery is on a spectrum means everything you do drives toward discovery and discovery has no end point.

We fear failure because we think of discovery as a fixed, unobtainable, high-performing and out-of-reach goal.

I call this the “Einstein or bust” mindset. We get stuck thinking that if it’s not a legacy class discovery it doesn’t count.  Why try?

But the minute you get involved in science you are automatically on the discovery spectrum.  And there is more than one level of discovery, each with its own meaningful impact.

It’s not possible to “fall off” or “fail out” of a spectrum.

But you can always start small and build up from where you are to make your first discovery and then bigger and bigger discoveries.

Simply put, knowing the three levels of scientific discovery will end your fear of failure because no matter where you are on the spectrum of discovery now you can build toward higher levels one small doable step at a time.

 

Reflection Question

If you got a phone call tomorrow saying you were being awarded the world’s biggest prize for having made a scientific discovery, what would you do that night to celebrate?

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

Bulletproof Musician (performance psychology)

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “Knowing the three levels of scientific discovery will end your fear of failure”, The Insightful Scientist Blog, May 21, 2021.

 

[Page feature photo:  Photo by Anne Nygård on Unsplash.]

Memorizing the definition of “scientific discovery” lets you actually make one

Memorizing the definition of “scientific discovery” lets you actually make one

I’ll make you a deal.  I will give you one million dollars if you are the first person to bring me an authentic, Trendel-made, lime green pogificator and post proof to my website that you have an original one by the last Friday in December.

Easy, right?

It might be.

Or it might not.

Who knows? Because you probably don’t know what a pogificator is.  Or if it’s a real thing (it’s not).  Or if Trendel is a real place (it’s not).

So, even if I extended the imaginary offer on my website to every year for the next three years it won’t help.

Of course, this is just a made-up example of a fake deal to make a point (pogificators only exist in the world of our fictional citizen scientist Mrs. Mulliver).

You can’t produce something when you don’t know what that thing is.

It’s a silly example, but discovery works the same.  If you’ve got a wicked social or science problem you want to solve, you can’t make a scientific discovery if you don’t know what a scientific discovery is.

To go out and get started you need to have a good definition.

I’ve come up with my own definition by thinking about my physics research, research my co-workers do, and reading about discovery.  I’d like to share it with you as part of my scientific discovery framework series of posts.

Scientific discovery has three essential qualities that regular research does not.

To be a discovery a finding doesn’t have to have all three qualities (though how many it has determines its impact).  But it does have to have at least one of those qualities.

The three discovery qualities are:

  1. Radical.  Radical means that the new science finding shifts our perspective on the world.  How we look at things before the discovery is different from how we look at the world after.  Radicality makes scientific discovery high impact.
  2. Universal.  Universal means that the new finding extends knowledge from one area to a wider class of things, not just one individual case.  Making more general predictions about the world is easier after a scientific discovery. Universality gives scientific discovery a broad impact.
  3. Novel.  Novel means that the focus of the discovery has not been verified to be true before (and it may not even have been recognized or known before the discovery is announced).  How much we know about the world grows after a scientific discovery and that discovery drives more growth.  Novelty grants scientific discovery a lasting impact.

Defining these qualities gives you a criteria for knowing “discovery” from “not discovery” so you can spend more time on discovery activities.

I had information overload when I first started trying to pull actionable understanding from reading stuff about scientific discovery. All that data jumbled and confused my brain. Sometimes I gave up learning.

It was like asking a simple question on Google, “how to improve insight”, and ending up watching weird perky YouTube videos by a corporate coach about insight reports for marketing teams.  You wonder, “What just happened?”

But when I came up with a targeted definition of scientific discovery it made gathering ideas doing-centered. I started to be able to link actions to outcomes.

Having a definition in your head lets you tell apart science examples of discovery (useful role models) from science that is invention or innovation or incremental gains (not useful role models for discovery).

Ironically, even though I spent a year designing a new definition of scientific discovery, I didn’t memorize it right away.  Every time I sat down to learn more, I had to go back and look at my own original Microsoft Word document with notes.

It was frustrating. It made me feel like I was starting from scratch each time. It slowed me down. A lot.

I hadn’t taken my own advice:  I had put in the effort to gain some insight, but then I went back to being confused because the definition of discovery remained vague in my head.

When I finally memorized my definition, it was like someone put a magic prism or filter in my brain.  That laser like focus from having a clear definition of scientific discovery let me pursue it with single-minded devotion.  Even if “devotion” only meant 20 minutes a week.

Simply put, memorizing the definition of what a “scientific discovery” is lets you actually make one.

Because you can’t produce something when you don’t know what it is.

Reflection Question

Wander down the rabbit hole of the internet for 5 minutes and find one example labelled a “scientific discovery”.  Think about if it is radical, universal, and/or novel.  Now think about something you’d like to discover.  How would it capture some of those qualities?

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “Memorizing the definition of “scientific discovery” lets you actually make one”, The Insightful Scientist Blog, March 26, 2021.

 

[Page feature photo:  Photo by Michael Dziedzic on Unsplash.]

Making a scientific discovery isn’t just for Einsteins

Making a scientific discovery isn’t just for Einsteins

There’s a hidden catch to reading inspirational stories about individuals.

Reading them makes you feel humans can do anything.

Reading them can also make you feel like, any human but you can do anything.

It’s a paradox hidden inside reading the stories that has to do with the details. The more details we read the more real the achievements seem. But also, the more different the person and/or experiences that lead to them seem to be from who we are.

So, after reading an upbeat story about how Albert Einstein said something cool and then discovered something amazing, you can feel both inspired and demoralized at the same time.

The reason is because these stories focus on individuals more than capacities.

That makes sense because biographies and inspirational quote sites are selling peoples’ personalities as much as their ideas.

That’s not a bad thing. It’s just not helpful when you’re trying to learn practical discovery skills.

Instead, I want you to become the Einstein in your own story.  So, we need to focus on things a little differently.

Let’s talk about human capacities and discovery.

If you read widely, you will see a lot of ideas about how to do something new.

You’ll see buzz words like innovation, invention, creativity, and insight.

When it comes to a productivity framework for scientific discovery, the most helpful way to think about these concepts is to narrow in on four and recognize them as human capacities.

Capacities are the mental and physical abilities and skills we have to get things done.

So, discovery capacities are abilities, that all people have, to discover new things.

I’ve identified four discovery capacities.

What makes each discovery capacity unique is that we are motivated to apply that ability for different reasons. So, we create different results depending on which capacity we use.

On the other hand, what every discovery capacity shares is that it gives us a way to create new things in science and technology.

Here are the four discovery capacities:

1. Innovation.  You apply your capacity to innovate when you are motivated to improve the way something works. Better. Faster. Stronger. That’s all about innovation.
2. Invention. When you are motivated to build something useful you use your capacity for invention. An idea brought to life is the heart of invention.
3. Insight. Being motivated to get a more accurate understanding of the real world is when you deploy your capacity for insight. Insight gets rid of being wrong, being oblivious, and being confused.
4. Scientific Discovery. If you are motivated to explain the natural world then you will use your capacity for scientific discovery. What exists? Why does it exist? How does it work? Scientific discovery is finding the answers to those questions.

Although making scientific discoveries is our focus, all the capacities have a role to play in discovery. They build on and support each other.

My first taste of thinking about discovery was reading Walter Isaacson’s biography of Albert Einstein 12 years ago.  My second was reading a book by Hans Ohanian called Einstein’s Mistakes a few months later.

For a long time, I held these two images in my mind.  That and the famous photo of Einstein sticking out his tongue (which you might know too).

Making discoveries, through the lens of Einstein, seemed like something only mischievous, extraordinary people do.

But then I started hearing a phrase from one of my family members (they’re not in science).

It’s called “capacity-building”.

The United Nations defines capacity-building as, “the process of developing and strengthening the skills, instincts, abilities, processes and resources…to survive, adapt, and thrive in a fast-changing world”.

I realized that to make discoveries we need exactly that.

The skills and processes to survive, adapt, and thrive in a fast-changing information world.

That’s why I call them discovery capacities.  Because strengthening them is a capacity-building exercise for those who want to make scientific discoveries.

The four discovery capacities all support each other.

Sometimes you need to build a new tool (invent) to fill a knowledge gap (insight).  Or you may need to improve how a system works (innovate) to create space for new knowledge to be found (scientific discovery).

Luckily, we all start out with a basic ability to do all these things.

That’s because basic human survival requires the skill to observe, adapt, build, and learn.

As we grow, and make new learning choices, we may specialize or strengthen some capacities more than others. But we never lack, or lose, those discovery capacities all together, unless we suffer a catastrophic injury.

We can also learn and develop specific techniques to improve our capacity.

But just remember, you’re always improving on a basic ability you already have. Not starting from zero. You’ve already got what it takes. But what you’ve got can get better.

Simply put, making a scientific discovery is something anyone can do, not just a group of elite science performers.

Discovering new things is a set of core human capacities we are born with.

So, own it. Grow it.

Keep your discovery capacities strong through practice.

Become your own Einstein.

 

Reflection Question

Building up your discovery capacity is about practice.  Practicing which discovery capacity annoys you the most and why?  Which one excites you the most and why?

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

Bulletproof Musician (performance psychology)

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “Making a scientific discovery isn’t just for Einsteins”, The Insightful Scientist Blog, December 4, 2020.

 

[Page feature photo:  Photo by Maks Key on Unsplash.]

Prioritize building your portfolio of practices before building your portfolio of products for scientific discovery

Prioritize building your portfolio of practices before building your portfolio of products for scientific discovery

When is the last time you were “in the zone”, burning through a task with clarity?

When were you so focused that being self-conscious about things like “confidence”, “discipline”, or “rigor” would have felt silly?

You were just getting the task done. Not thinking about how to get it done.

Being able to get something done in science is driven by what I call our scientist’s repertoire.  The bigger our repertoire the more we can get done.

Our repertoire impacts every aspect of our personal discovery potential and our discovery process.  It’s what we use to navigate the science choices we make and the actions we take.

I see four themes that live in our internal repertoire or portfolio.

Mindset is how you think about your science and your actions.

Don’t dismiss this piece as just cheesy self-help mantras. There are some tough, core human challenges in this theme.  Like being hampered by your own expertise (called the Einstellung effect) and tending to prefer additive solutions that complicate rather than simplify results. You’re not stuck with your mindset. You can change how you think to fit the needs of your science.

Activities are the tasks you know how to complete to get science done.

These are the things they teach you how to do in school, trainings, work experience, crash courses, and professional development. You can even pick these up off YouTube and TikTok.  The basics for discovery? There are activities that let you communicate, synthesize, code, calculate, deconstruct, build, etc. Activities are the smallest unit of “know-how” that makes up your scientist’s repertoire. Our dynamic ability to learn means you can have hundreds of activities in your mental repertoire (or your digital one 😉 ).

Skills are the recipes you have for combining outcomes with actions.

Want to convince someone to give you money to pursue a discovery (outcome) through writing a pitch or proposal (action)? That’s a skill. Trying to create a systematic definition or metric (action) to pull insights (outcome) out of texts or terabytes of data? Also, a skill. You can learn and master skills through deliberate practice (the famous 10,000 hours rule).

Knowledge is what you know.

Knowledge is key for discovery because what you don’t know is exactly what you need to investigate. But to see your knowledge gaps you must be clear on your knowledge base.

When you have a solid plan, but still don’t make progress in your science it means you need to strengthen a weak part of your repertoire.

I am a university physics researcher (for now). So, when I started working on the science of scientific discovery my first thought was: “Publish a paper, win a grant, or the work won’t count.”  I was only worried about how my repertoire would appear on my resume.

That mindset got me two years of spinning my wheels and no meaningful progress.

Why?

Because what I needed was skills to make a discovery, not skills to write a paper about other people’s discoveries.

I’m still not there yet. But now, with the architecture of discovery I have built a mental framework for troubleshooting. I can figure out where I am in discovery process. And I can create targeted techniques to help me get unstuck when my science ideas dead end.

Those are skills I learned while researching the science of scientific discovery.  And I’ve added them to my repertoire.

The idea of a repertoire comes from music. A musician’s repertoire is the collection of songs, styles, and instruments they can play.

Like musicians, scientists also need a repertoire.

You need a bag of tricks and tools to pull from that contains your mastery of the art of scientific discovery.

Mindset, activities, skills, and knowledge are all part of our scientist’s repertoire. They are how we get science done.  They transform us from dreamers into discoverers.

Without them in our portfolio first, we have no way to add discoveries too.

Simply put, prioritize building your portfolio of practices before building your portfolio of products to create space for scientific discovery to happen.

 

Reflection Question

What practices have you neglected, or avoided adding, to your own science repertoire?

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

Bulletproof Musician (performance psychology)

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “Prioritize building your portfolio of practices before building your portfolio of products for scientific discovery”, The Insightful Scientist Blog, September 25, 2020.

 

[Page feature photo:  Photo by Lorenzo Spoleti on Unsplash.]

To make a scientific discovery you need a plan not a map

To make a scientific discovery you need a plan not a map

If I told you there was a study that found what actions you take for the next 10 minutes determines whether or not you will make a scientific discovery in your life…how would you spend that time?

How does thinking about the impact of what your doing right now on your discovery potential make you feel? Guilty, curious, confused, even overwhelmed?

Unfortunately, no such study exists.  Instead, there are plenty of biographies analyzing how the Einstein’s of the world spent their time.

Don’t get me wrong.

Getting inspired by previous scientific discoveries and the stories behind them is wonderful motivation.

But it doesn’t tell you how to spend the next 10 minutes of your life to make your own discoveries. For that you need an action plan.

So let me share the scientific discovery framework that I’ve developed, which will give you a plan.  It’s helped me see how discovery gets done and it will help you too.

There are lots of parts to scientific discovery, but they all fit together in a logical whole.

In a series of posts, I’ll explain my framework for connecting those parts and how you can prioritize your efforts to get moving on making a discovery.

Links to other parts of the series are at the bottom of each post.

This first post lays out the big picture of scientific discovery. Get ready for an information download! Stick with it. Don’t worry if it feels like a lot. Shorter follow-up posts will guide you. Jump in and out of the series anywhere – the posts are all standalone. You can take it all in as you have time.

Let’s get to it.

I’ve identified six core areas that power scientific discovery:

1. Discovery repertoire. The personal portfolio of techniques that you use to get science done is your scientist’s repertoire. There are four sections to your internal portfolio: how you think about your science (mindset), what tasks you know how to complete to get science done (activities), the recipes you have for combining outcomes with actions (skills), and what you know (knowledge). When you have a solid plan, but still don’t make progress on your science it means you need to strengthen a weak part of your repertoire.

2. Discovery capacities.  Learning new things in science and technology is driven by four human capacities: innovation, invention, insight, and scientific discovery. Capacities get different results because they are driven by different motivations. Innovation motivates us to improve the way something works. Invention motivates us to build devices that will do something useful. Insight motivates us to change how we see the world. Scientific discovery motivates us to explain how the world works. Insight and scientific discovery are core capacities that build on each other.

3. Discovery vital qualities.  The difference between a scientific discovery and regular scientific research is that a new discovery-level scientific finding will have at least one of three vital qualities:  It will shift our perspective on the world (be radical), it will link knowledge to make a broader range of predictions about the world (be universal), and/or it will be new knowledge (be novel). Your work should have one of these qualities as an objective to aim for discovery-level science.

4. Discovery impact classes.  Scientific discovery intuitively feels more high impact than regular science. That impact lies on a continuum from low to high, determined by how many vital qualities a discovery captures. Minor class discoveries possess only one of the three vital qualities. Major class discoveries possess at least two and legacy class discoveries must have all three. Science spans from regular research to legacy class discoveries on an incremental spectrum defined by these qualities. So, start small and build up to the big discoveries.

5. Discovery learning categories.  Scientific discovery learns something new about the world. What you learn falls into three categories: something about an unknown object (object-type), something about the properties of an object (attribute-type), or something about how and why the world works the way it does (mechanism-type).  Some categories are easier to make discoveries in because the learning curve is smaller.

6. Discovery evolution phases.  Most scientific discoveries evolve through five phases, which I call the discovery cycle.  First, you ask an unanswered question (question).  Then you form ideas for an answer (ideation).  You make those ideas into tests in the real world (articulation). You run the tests and evaluate the results (evaluation). And if the results repeatedly prove true then they become a scientific discovery (verification).  Troubleshooting your scientific discovery progress is easier if you know what phase you are in because unique problems trip up scientists at each phase.

The framework I’ve developed lets you craft a scientific discovery action plan, troubleshoot your progress, and connect specific activities and techniques with the results you want to achieve.

The simplest starting point? Aim for a minor class, attribute-type discovery that is universal. That represents a baby step from current science to something new.  And if you hit an obstacle check your insight in a systematic way and seek out techniques to boost you from one phase of scientific discovery to the next.

No matter where you start, be inspired by the scientific discovery stories of others, but don’t stay stuck in them.  Discovery isn’t a sightseeing tour through known territory. It’s a push toward unknown territory.

Simply put, to make a scientific discovery you need a plan for how to tackle the unknown, not a map of the known.

 

Take Action

Once you’ve got a framework and a plan, spend the next 10 minutes taking action.  You’ll be 10 minutes closer to making your next discovery.

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

Bulletproof Musician (performance psychology)

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “To make a scientific discovery you need a plan not a map”, The Insightful Scientist Blog, September 11, 2020.

 

[Page feature photo:  Photo by Torbjorn Sandbakk on Unsplash.]

A fictional scientist is the way to learn how to make scientific discoveries

A fictional scientist is the way to learn how to make scientific discoveries

The hardest part of sharing scientific discovery skills is giving good examples.

The pros of using real world examples:

• Your readers learn how skills played out in real life.
• Your readers have examples they can explore further.
• You readers will find examples in some topics fascinating.

The cons of using real world examples:

• Your readers will compare themselves with some stories and decide it doesn’t apply to them.
• Your examples might confuse readers because of grey areas.
• Your readers will find examples in some topics boring.

The biggest downside of a real example is that you will automatically compare yourself and your situation to it.

I don’t want you to do that.

I want you to think about the concept and see if it helps you. Not worry about the fact that Scientist X lives and works in place Y, does Z for fun, and isn’t anything like you, so you could never do anything like them.

That’s why I’ve decided to start illustrating my blog posts with examples using a fictional character from a real book I wrote, but never published.

Say hello to Mrs. Magnolia Mulliver, from “Mrs. Mulliver’s Travels”.

You’ll see her in my series sharing the framework I use to practice scientific discovery.

In this post I’ll give you enough backstory to understand Mrs. Mulliver and her mysterious log entries.

Love her or loathe her, she’s a good way to play with the concepts in your mind. And there is no need to compare yourself—she isn’t real anyway!

Now, about Mrs. Mulliver:

What would Mrs. Mulliver’s “About” page look like if she were a blogger?

“Magnolia Mulliver is a former part-timer, long-time housewife, mother of five beautiful children, and has many nieces and nephews. She lives happily with her husband Burt, a bookkeeper, who knows a lot about trash disposal. She was always quite keen on science in school. But she never got round to it. Too many other wonderful things popped up in her life.”

What are the log entries Mrs. Mulliver writes and why is she writing them?

Mrs. Mulliver has left behind what seem to be diary entries. These are now in an edited book called “The Posthumous Papers of Mrs. Magnolia Mulliver’s Travels in Trendel”. On The Insightful Scientist website, it’s called “Mrs. Mulliver’s Travels” for short. Each of her diary entries is labelled “Scientist’s Log” with a date and describes her challenges, thoughts, and events while serving as a Citizen Scientist in the fictional land of Trendel.

Her reasons for writing these entries are anyone’s guess. How they came into the possession of The Insightful Scientist remains a mystery. But in her honor the blog section of the website has always been called “The Scientist’s Log”.

What is Trendel? Why is Mrs. Mulliver a Citizen Scientist? What is going on?!

The details are murky. Mrs. Mulliver’s diary entries only partly cover a ten-year period. But here’s what we’ve pieced together on The Insightful Scientist:

Mrs. Mulliver was on her way to visit a niece when her plane vanished over the Pacific Ocean. She awoke in a strange land, maybe still on Earth, named Trendel (pronounced tren-dull).

Trendel has two regions: Trendellup, which is on the surface, and Trendellow, which is below ground. Trendelites appear to be human and most things, like the language and food, are still familiar to our Mrs. M.

But the Trendelian history is new to her. She described in her diary that Trendel lacks much scientific knowledge, even though they still have many familiar technologies. Except for the internet and other oddities.

From her diary entries we also know that Trendel suffered through a Great Information War, generations before Mrs. Mulliver arrives. But little is known about what existed before the Great War.

Now the Trendelites, a relaxed bunch, are left a lot of technologies and things that they don’t understand and aren’t quite sure what to do with.

Unfortunately, this confusion over how things work and what to do with them includes nuclear weapons, which have the Trendelites baffled.

Mrs. Mulliver has heard things about nuclear weapons because one of her nieces worked in nuclear threat reduction and was a physicist. Mrs. Mulliver’s science experience is limited. But she still knows more than the Trendelites. So, she’s assigned by the Royal Order of Trendel, the R.O.T. or a sort of managing body, to be a Citizen Scientist and oversee disposing of nuclear weapons (since the Trendelites can’t make heads or tails of how to do anything other than blow themselves up with it).

Mrs. Mulliver’s challenge is made worse by the fact that whoever created and maintained the nuclear weapons, and their specialized knowledge, mysteriously vanished overnight during the third and final phase of the Great Information War.

Luckily, Mrs. Mulliver is comfortable cleaning up other people’s mysterious messes (she did have seven siblings and five children). So, she jumps into the challenge.

Most of the Scientist’s Log entries about Mrs. M’s work revolve around something called “plutonium disposition”. Plutonium is a kind of chemical element that is used to make nuclear weapons and gives weapons a devastating chain reaction effect.

Plutonium’s chemical name is “Pu” for short. Unfortunately, the Trendelites know nothing about it except for the label appearing here and there. They pronounce “Pu” like “poo” and call it the “Pu Problem” (poo-problem).

This is no issue for Mrs. Mulliver, who, with her five children, has also frequently cleaned up other people’s left over poo.

But the science and safety of the Pu Problem are tricky.

Our Mrs. M has to solve a problem that was never settled in her world. And she must rediscover things that were only known by the weapons’ vanished makers.

It’s big task! But the Log entries suggest our Mrs. Mulliver is up to the job.

Mrs. Mulliver is fake, but is the science she’s working on fake too?

No. The challenges and science behind the Pu Problem are real.

The issue of how to get rid of the plutonium from dismantled nuclear weapons, and of excess plutonium that was made for weapons, is a very serious and real challenge facing us today.

Mrs. Mulliver is fictional, and her ideas can be off-the-mark, since she struggles to find the information she needs. But I have tried to keep true to the reality of dealing with leftover plutonium from nuclear weapons. You can read more on the real-world problem in my previous post on plutonium disposition.

That’s our dear Mrs. Mulliver in a nutshell. She’s a great addition to the website and a neat way to explore practical themes in scientific discovery.

Simply put, sometimes you need a “Mrs. Mulliver” to help make tough ideas easier to think about.

 

Related Links

 

On The Insightful Scientist (InSci) website

Blog (The Scientist’s Log)

Research (Research Spotlight)

How-To’s (The Scientist’s Repertoire)

Infographics (The Illustrated Scientist)

Printables (Spark Points)

Other blogs

Bulletproof Musician (performance psychology)

zen habits (achieving purpose)

Farnam Street (famous insights)

Around the web

 

How to cite this post

Bernadette K. Cogswell, “A fictional scientist is the way to learn how to make scientific discoveries”, The Insightful Scientist Blog, August 21, 2020.

 

[Page feature photo:  Photo by Mohammed Gadi on Unsplash.]