Planning vs doing

ar-aa760_sp_mai_g_20121213180326

Success in a cycling event is much more likely if you’ve previously ridden a bike. Image: jjd.fitness

Lab work always benefits from planning. A good experimental design drawn from a solid hypothesis based on current literature is essential for good science. And yet all the planning in the world can’t prepare you for the reality of what will happen in the lab. Kind of like a triathlon.

My entire triathlon career consists only of two such events. Ok, mini events. Training for the first triathlon encompassed the two weeks between the actual event and me first hearing about it. Sure, I could have waited a year and actually put in some proper training. Or I could just wing it this time and learn for next time.

Due to several errors in judgement, I opted for the latter. The swim leg turned out to be less to do with swimming as attempting to breath in the seething, churning mass of bodies. The ride leg also wasn’t the best leg, with that event being my first time on a bike in over a decade. The part I most excelled at was the change-over. All my training efforts had gone into putting on my shoes quickly and that’s where I gained most ground. Probably not the best training strategy but at the time it was certainly the most feasible.

Ok, so I probably came about dead last in that event. But at least the practice had taught me a great deal about mini triathlons and about training properly for them. The following year, I was prepared, knew what to expect and finished in a respectable time.

Lab work is much the same in many ways.

No matter how detailed and thorough the planning, there is always something extra to consider. Usually it’s something that no one would ever think of and it won’t be obvious until you get in the lab and try it for the first time.

In theory, the proposed method should work. In reality it might not and this might be due to something as ridiculous as the lack of available glassware. Or that the piece of equipment required for one critical step happens to be in use for the next month.

Little things that can’t be imagined on paper can have a huge impact on experiments.

Proper experiment planning is essential. But before launching into the full experiment, just getting into the lab and trying out some new ideas can be enormously beneficial and time-saving in the long run.

Like actually riding a bike before a cycling event.

 

The Olympics of scientific conferences

ss_olympics_bs_160821_28

The Olympics closing ceremony resembles the close of a good scientific conference

The truly great thing about the Olympic games is the closing ceremony. Not because I’m anti-sport as some may suggest, but because this is when the athletes dispense with any animosity towards their competitors and enter the arena as friends. This is much like scientific conferences.

One of the key perks of being in research is going to conferences in far away lands. Having said that, my last conference was in my home town, but either way it’s always a great opportunity to meet with your peers.

Conferences can bring moments of great triumph and exhilaration. Like when you see the name tag of the person across from you at the lunch table and realise that you’ve read absolutely all their papers and follow their work obsessively.

You want to go over to them immediately and gush about how inspirational their work has been but you kind of want to be cool as well.The triumph is when you get the nerve to hold a normal conversation with them without them thinking your crazy. I’m still working on that last bit.

Occasional moments of exhilaration also occur when someone reads your name badge and approaches you to gush about your work. This never gets old. Ever. The struggle for me is to also be cool about it and not give them a great big bear hug of gratitude.

Then there are moments of despair. Like when someone presents their data exactly in your field but they’ve done it better. And with the most advanced technology. And are ready to publish. But always from despair rises hope, usually in the form of a new collaboration.

All this networking is exhausting. But by the end of a good international conference, any barriers between countries have been broken down, new alliances have formed and new ideas are set in motion. This is science at its best.

Now to follow up on all these leads and get some new data to present at the next conference. The training for the next event never ends and that’s just how we like it.

 

 

Ripple effects of science funding

ripples-1

Funding research supports much more than just great research. Image: asterisk.apod.com

 

The Australian election is looming and promises for funding are being thrown around in all directions including at science. But this money can’t be banked on. Asking for credit with a promise of repayment as soon as 1) Candidate A gets elected and 2) they fulfil their election promises is unlikely to fly. At least not with any reputable broker.

Most of research funding depends on the whims of governments. And if government doesn’t fund research, businesses will. As soon as businesses fund research, however, any results are often deemed biased and dismissed, regardless of how stringently the research was conducted. The conflict of interest cannot be overlooked.

Which points the finger back at the government. Research is in the public interest – it is the public who ultimately benefit from the results after all – and it needs to be funded by independent bodies. Which are ultimately funded by taxes. And nobody likes taxes.

But funding research has many other benefits that are worth the tax. Most obviously it provides jobs for researchers and, being a researcher, this makes me very happy. But also the process of doing research provides employment for many more non-researchers from all areas.

Here are some of the people employed directly or indirectly by research funding.

  1. Finance managers, HR managers, payroll officers – No point getting funding if there’s no way to manage it, nor if there’s no way to get staff and pay them. Basically research doesn’t happen without a solid admin team.
  2. IT gurus – Science, like most other industries, needs IT. Particularly for managing so many different instruments as well as all the data and communications throughout the business. Research grinds to a halt as soon as the network stops working, making on-hand IT staff invaluable.
  3. Equipment suppliers, manufacturers, primary producers – Science needs stuff. LOTS of stuff. From everywhere. This includes glassware, solvents, gloves, little plastic tubes, printer paper and sticky tape. To get all these different items, we need people who supply them. And people to make them in the first place and people to get the raw materials for the manufacturers to make the stuff.
  4. Communications managers – Scientists do good science but few do good talking. Anyone skilled in communications is an essential asset for any research industry to let people know the outcomes of the research and manage any media interest that may come about. Best not to let untrained researchers into that space.
  5. Receptionists, research administrators, managerial assistants – These are the key go-to people for getting things done, organising paperwork, managing meetings and communal resources. Important activities that always take more time than expected. Having staff dedicated to handling this sort of thing allow for more efficient research.
  6. Food providers, including cafes, food vans, supermarkets and fast food chains – OK, this one might be stretching the boundaries, but research like other businesses employ people and people need food. This gives opportunities for local eateries and food manufacturers, particularly those that provide good coffee. The vending machine guy at my work also does a roaring trade alongside the steady stream of charity fundraiser chocolates that are readily available and readily consumed.

Whether it be for applied science projects, as is the focus of the Innovation Boom, or for fundamental science projects that produce the necessary scientific knowledge for the applied projects to actually work, funding research provides community-wide benefits.

This includes employment and income for people across a broad range of industries, not just for scientists, as well as the benefits that come from the results of that research.

It’s win-win-win, really.

Dancing science

30scan_quantum-master1050

Dancing is the next level in science communication. Image: nytimes.com

Dancing is not a required skill for studying science. In fact, whole science degrees can be awarded without assessing a single pirouette. And yet recent years have seen a groundswell of people attempting science communication through dance. Can this really be good for science?

Science communication is a growing field with more people talking and writing science than ever before. Explaining complex concepts in short and easy-to-understand formats is an important skill for scientists and some brilliant competitions have been set up, including Fresh Science.

While the idea is to encourage PhD graduates to distil the key messages from their research for a non-expert audience, this can be demoralising for a new PhD graduate. Having years of challenging and detailed research condensed into a three minute presentation is heart breaking.

Can there be another way? Bizarrely, yes. But it’s not necessarily more satisfying.

Instead of explaining your thesis using something practical, like words, there is growing interest in Dance Your Thesis competitions. This takes science communication to the next level. Not only do researchers need writing and speaking skills to do better science, it looks like we’re going to need to be good dancers as well.

I am not a coordinated dancer. Not that I let that stop me, but generally it’s in the public’s best interest to keep such urges behind closed doors. Without any background in formal dance training, I struggle with why anyone would think that dancing a thesis would be a good idea. I wouldn’t even know where to begin with mine. Aside from tap dancing the names of bioactive compounds in Morse code.

And yet the idea is has resonated with people around the world, including Sydney and Munich. Last year’s winner has over 160,000 views on YouTube, which is at least 159,998 views more than my thesis. This idea has merit.

Dancing science may or may not be bringing science to whole new audiences. But it is getting a lot of public interest and it certainly helps scientists think about the bigger picture about what their results mean. And on top of that, it’s a lot of fun.

Fun times, lab style

d1b3db37e771cf9476a4a8136785d359

Almost as hilarious as putting biohazard tape on your lunchbox

Working in the lab could be repetitive if not for the collective efforts of fellow researchers. Every week someone in the lab makes the effort to do something frivolous, purely for entertainment.tumblr_n04zgvjn8m1rqudgzo1_1280

Printout appears on noticeboards reminding giving helpful advice for researchers and lab visitors. I have a magnet that moves around this pictograph depending on how the week is going.

Inspirational quotes are also written on the whiteboard once a week by a diligent part-timer.  Motivational stuff like “If opportunity doesn’t knock, build a door” and sometimes truth: “a clear conscience is a sign of a bad memory”.

The drive of light-heartedness even creates highly sophisticated equipment with bullet-hole stickers on the sides and hilarious names for these instruments. We have the complete set of Thunderbirds characters for our instruments and we’re starting on a set of animated characters from Toy Story.

Oddly, justifications for new instruments such as “because if we just get a Buzz Lightyear we’ll have a complete set” don’t get much traction with the funding body.

While the general motivation is good-natured, there are tensions arising from such displays. Currently a silent battle rages in our lab played out by the Stop sign on the door to one lab. Sometimes it reads “Stop – Food-grade glassware only”, but more often it reads “Stop – in the name of love” and recently Stop – Hammer time.” This is likely to change again as the next wave of PhD students build the courage to add their version.

Little things like this make the lab more enjoyable. And reassures us that we are hilarious. Even if only other researchers think so.

Engaging the work experience kid

science-kid

Making routine science interesting for work experience kids can be a challenge. Image: pinecrestdayschool.com

Work experience is a valuable lesson for all school kids. Particularly when it makes you realise exactly what you don’t want to do in life. Ever. And that’s an important lesson.

So when it was announced that we would be taking on a work experience kid for a few days, I was keen to show her how cool and amazing science can be to encourage her to want to pursue a scientific career.

Unfortunately, when it came to my turn to dazzle the WEK with science, I was changing the water for my dialysis samples. I tried to make it interesting and gave her some hands-on experience by letting her refill the container with water but it still lacked some scientific sparkle.

Then I tried to impress the WEK with scientific equipment and showed her how compounds are separated using HPLC. I explained the principles of compound separation and then demonstrate how to prepare the samples. It was pretty complex stuff but she was very quick and could summarise the procedure:

Me: Now we need to pipette 40 µL of sample into 2 mL screw-capped HPLC vials with 300 µL inserts.

WEK: So like, transfer the samples from one container to another?

Me: Um…yeah.

And that, my friends, is science in action. Transferring samples into different containers is the basis of my day-to-lab work. It didn’t get much better when I showed her the resulting chromatogram and explained the very scientific way in which these data are processed:

Me: We now need to draw little lines under these curves on the computer and record the numbers that come up.

WEK: <smiles and nods politely>

While work experience teaches students about the real world, it is also educational for those already in the real world. For example, I learned that a Year 10 chemistry student can do my job. At least, the lab component. And that’s a pretty big component.

One thing that must be learned by aspiring researchers is that the most interesting and challenging part of science is not conducting the experiments. It is identifying a knowledge gap, designing the experiments to give the required information, and, my favourite bit, making sense of the data from those experiments.

This is the fun part of research but unfortunately it is not necessarily communicated to a student on a few days of work experience. Not even with my repeated explanations that may have only served to make me feel better.

I just hope the novelty of working in a real lab with real experiments was interesting enough so that science isn’t on the list of things the WEK never wants to do again.

Coordinating the Great Research Project Conjunction

tumblr_m971jzs63f1rc8ha8o1_1280

The converging of research projects in this world is almost as disastrous as a Great Planetary Conjunction in other worlds. Image: greatconjunction.tumblr.com

 

Timing is the greatest challenge with natural products. No matter how beautifully constructed an experimental design and the hours that go into planning each experiment, inevitably Nature will come along and mess it all up. This week, despite my well-constructed project proposals with suitable distances between each set of analyses, I’ve ended up with three large projects converging on a single analytical time point.

Two projects are just kicking off thanks to harvest times coming together and one is the final time point of an existing project and none of them have any rights to be invading on the other.

After my inevitable melt down that came with the Great Realisation of the Impending Conjunction and the subsequent hours of therapy, I’ve realised that things might not be as bad as they seem. The key to controlling such as dilemma always comes back to the basic principles of Do, Delegate or Delete.

Ideally, I’d like to Do everything. This is mostly because I have a few control issues and difficulty letting go but that’s a topic for a-whole-nother therapy session. In this case I simply can’t do everything without sacrificing a few things, like sleep. And that’s not happening. So, grudgingly, I will prioritise the very long list of analyses and do only those in the absolutely-essential-must-be-done-now category.

Other tasks will have to be Delegated to colleagues who might have a spare moment from their own trials to run a few samples for me. Usually the analysis itself isn’t difficult, just time consuming, and unfortunately that’s something I’m short on. Borrowing some minutes from other people is enormously beneficial to me and not a burden on them, kind of like crowd-funding for time.

Delegating to work experience students might also be an option. Piling work on an unsuspecting student is apparently fine as long as the forms say ‘work experience’ and not ‘slave labour’, even if the latter is more accurate. Not that I’ve tried this yet, but at the moment, anything is looking good. And I’m sure the experience will be enjoyable for the student in an eye-opening, real-life experience kind of way.

As for anything else that can’t be met in the required timeframe for analysis, it might have to be Deleted from the to do list. This is where prioritisation is critical. Do I really need to measure everything possible just because I can?

In these days of being able to measure absolutely everything, we really need to assess if it is worth the amount of work if nothing is significantly different. So maybe I can cull a few experiments or samples and only look at only the most influential without compromising the integrity of the experimental design. Not that I’d actually dispose of those other samples, just in case there was a difference. I would need more a lot more therapy to get over that kind of trauma.

Things are looking much less stressful now with my new and improved planning strategy for the Great Project Conjunction. I might even have time for a coffee.