Designcraft for experiments
Welcome to experimental design. There are two sets of three exercises provided to explore principles for better experiments. This is a simple book to support the practical, at-home learning associated with experimental design. The text ‘Experimental Design for the Life Sciences’ underpins the design principles (Ruxton and Colgrave. 2018).
Life is an experiment. Individually and collectively. We experiment everyday. This is an opportunity to formalize some of those processes and make the learning from experimental design thinking a craft you can apply to all challenges. There are two primary modules to support this process.
Field experiments comprises three outdoor experiments to explore sampling heterogeneous, complex processes in natural systems. The purpose is to provide choice. You need to try each, briefly, as a pilot experiment only. Then, select one to pursue in depth and write up as a research article.
The data experiments describe the opportunity to use design thinking to structure existing data that others have already collected. The same principles for better experiments still apply in how you reuse the data. There are also three examples provided. Select only one and write up as a note.
Both report formats supported by FACETS. It is the first and only open access science journal in Canada.
If you are electing to engage with this learning opportunity formally, please see the official course outline for specific details.
There are three summative assessments for the labs.
- Dataset with meta-data for field experiment.
- Field lab report.
- Data-design lab report.
Collect data outside individually or as teams on campus or anywhere.
Write meta-data and enter data into spreadsheet and publish/submit for grading from any of the three outdoor labs proposed (try all three, but publish only ONE).
Write up your fav data into a field lab report and submit for grading.
Explore the datasets provided herein (data already collected and in Chapters 5-7).
You explore them, think of an idea to do with one of them, and ‘experiment’ with data. Be creative.
Write super short data-design report and submit for grading.
- Do all three field experiments in brief, pilot only, try each for a few hours.
- Then, select one of the first three field experiments.
- Do a deeper dive with your choice, i.e. fuller experiment wherein you structure observation by a key variable in the environment. Keep it observational.
- Design the experiment; collect the field data.
- Consider combining data from other students that examined the same system.
- Publish your final field data with meta-data to figshare and also submit to teaching assistant via turnitin.com. Ensure you include the link to the figshare data in the pdf of work you submit to teaching assistant.
- Write up the field experiment you completed for the deeper dive as a research article for the Canadian open science journal Facets.
- Submit field experiment paper to teaching assistant via turnitin.com.
|birdwatching||lawn chair or balcony||a good spot to sit and observe birds|
|birdwatching||field guide or smartphone||support identification|
|birdwatching||binoculars, scope, smartphone||facilitate spotting and take pics (not critical)|
|bioblitz||practical shoes||good for thoroughly surveying your identified space|
|bioblitz||smartphone||iNaturalist app (not required but useful)|
|bioblitz||smartphone||take pics of animals|
|bioblitz||net||sweep and capture then release insects (not critical)|
|surveys||practical shoes||walking around your 50m outdoor space|
|surveys||measuring device for transect||tape, rope, phone with digital ruler, anything you can lay or run out for 50m|
|surveys||linear object for quadrat||bamboo, stick, pvc pipe, broom handle cut up, anything that is 0.5m long, preferably make a square|
|all three data labs||access to computer or tablet||download dataset, explore data|
|all three data labs||R, Python, or any free stats app||plot data and do stats|
|all three data labs||internet access||to download data and submit note to teaching assistant|
|all three data labs||Google Scholar or Web of Science||check literature on key topics|
|magic||a pack of cards||consider getting a pack to think over process (not critical)|
|diversity||look for photographs online||explore how the data were collected visually|
|human||check out fitbits and trackers||check out watches, fitbit, trackers and explore limitations (not critical)|
Lortie, CJ (2021): Designcraft for experiments. figshare. Book. https://doi.org/10.6084/m9.figshare.14944398.v4
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