[also posted in http://www.science3point0.com/evomri/2011/05/03/drafting-proposals-in-the-open-sketching-out-project-ideas/] This post is licenced under a CC0
“Professionally our methods of transmitting and reviewing the results of research are generations old and by now are totally inadequate for their purpose.” Vannevar Bush, 1945
As announced last week, we – Fabiana Kubke and Daniel Mietchen – are currently participating in the Getting your CC project funded course at Peer-to-Peer University, and have decided to draft our proposal collaboratively and in the open. Part of our motivation is our (and others’) perceived need for making scientific information more useful by positioning it where it can be easily found, used, linked to, repurposed, and updated.
The introductory meeting of the course took place on April 26 (UTC) via Skype. We have since incorporated some of the feedback we got so far, and in this post – which Claudia Koltzenburg helped us draft – we will outline the next steps in the hope to entice others to get involved as well.
- May 3, Workshop 1: How do we move from having an idea to realizing those ideas in terms of having aims, and goals?
- May 6, Workshop 2: Which funding bodies are there that can give financial support, and how do we find appropriate sponsors for our project?
- May 10, Workshop 3: How can we structure our proposed work in terms of tasks and how do we make a realistic timeline?
- May 17, Workshop 4: Knowing how long time we estimate, and the resources we need, how do we put together a reasonable budget?
- May 24, Workshop 5: What happens after the funding period is over? How do we make the project sustainable?
- May 31, Workshop 6: What would we look at when reviewing another proposal.
The grant proposals are to be drafted in parallel to these workshops until June, when the proposals produced will be peer-reviewed, and professional feedback will be provided to increase the chances of getting funded. In preparation for today’s workshop, we will use this post to explore the aims and goals of our project(s).
The candidate projects in a nutshell
The ideas submitted as part of the application for the course all center around what could be thought of as an Encyclopaedia of original research, which shall therefore be the default focus of the grant proposal (as idea 1). Two smaller projects (ideas 2 and 3) build on idea 1 but are more specific and could thus be integrated into a proposal about idea 1, or developed independently, whereas idea 4 is wider in scope than idea 1. We expect the final scope of our grant proposal to be defined more precisely before attending Workshop 3.
“In the academy [..] we need to recognise an ethical obligation [...] which is at the core of our mission which is universal access to knowledge.” Larry Lessig, in the video embedded below, which is CC-BY-licensed.
Idea 1: The primary aim of the Encyclopaedia of original research (henceforth EOR) is to arrange the existing scientific literature in a way that allows it to become dynamic in nature. The primary goal is to develop a platform that is able to capture and archive the open scientific literature such that the original work is being preserved (like at arXive or PubMed Central) but becomes dynamically and collaboratively editable (like at OpenWetWare). By way of such a platform, scientists and others could share their knowledge more effectively than through papers: Work on related matters could be more easily identified and conceptualized, and so could gaps in knowledge. Besides the possibility for direct editing, facilities for annotation, commenting and other ways of interaction with the community of researchers in the field would ensure the widest possible peer review.
The Encyclopaedia of original research combines two of the principles for open science that have been put forward by Science Commons: it takes the “Open Access” literature and recognizes that it too – like data – is a lost opportunity “without structure and annotation”. The characteristics of the platform that would contain the encyclopaedia are complex: it needs to track individual contributions to enable proper attribution, the content needs to be granular enough to be able to be cite individual elements within an entire piece, individual pieces of works or elements within it need to be able to be dynamically linked, indexed and contextualized, and the metadata needs to be structured to enhance discoverability, an attribute that is essential for reuse. The user interface also needs to be suitable for the different technological levels of knowledge or levels of comfort appropriate for individual scientists, so that technology is not a barrier for adoption and/or contribution.
We expect that the encyclopaedia will benefit science by helping to avoid duplication of research efforts (and related funding), providing a faster means of updating information otherwise delayed by prevalent publication cycles or not deemed “worthy” of formal publication (practical example case) and promoting the open discussion of research findings in light of new evidence.
Idea 2: The aim here is to take advantage of such a repository to facilitate the delivery of scientific and health-related information to remote areas where this information may not be readily available but where access to it is essential for the well-being of those communities. What we imagine is that the above EOR could incorporate (or lead to) lay summaries (similar to AcaWiki of the scientific literature or such as those that already exist in blogs) as part of its knowledge base and both the original research as the lay summaries can be translated to local languages. Specific content that is relevant to specific world regions (e.g., malaria in Africa, Chagas in South America) can be bundled in formats that are compatible with existing local technology. One way to at least partially achieve this goal is to bundle region-relevant information so that it can take advantage of ongoing deployments associated with the One Laptop Per Child (OLPC) project and where it can reach the communities that would benefit most from that research.
Idea 3: The aim here is to take advantage of the infrastructure of the EOR (and part of the information contained within it) to complement (or support) digital collections not typically considered part of the scientific “literature”, e.g. from museums or databases. Take, for example this artifact from the Matapihi digital collection. The interaction of the user with the digital object could be enhanced by linking it to different representations of the same specimen (say, an MRI scan), or to relevant scientific information pertaining to similar specimens. It could further be brought back to life by linking it to other cultural artifacts: for instance, ‘Have specific works of poetry or music been inspired by these types of specimens?’, or ‘Are there local traditions or myths that are associated with the artifact?’, or ‘Is there a personal notebook of the individual who brought this specimen to where it is? As an example, this other digital object from the New Zealand National Library presents not just the artifact but the cultural context of what the object represents and how it relates to the local cultural heritage.
The fate of these ideas will depend on how the grant writing develops; the project as a whole could be shrunk to either of these projects (or similar ones), or these projects could be spinned off or retired.
Idea 4: The project could in principle also be expanded in scope, e.g. to test the efficiency of open versus traditional science. However, in order to produce a competitive grant on this big issue, we would require considerable support from beyond our current team of three.
The next steps
By May 10, we will need to identify in a first instance the type (or types) of funding bodies that would be suitable (at least in principle) to fund and/or sponsor the project. We would like to invite feedback and suggestions for that part of the process as well. For that purpose, we have set up a page on Wikiversity were we will be aggregating the relevant feedback we receive, and draft the next blog post in this series.
We would also like to invite feedback on which platform would be most suitable for the drafting of the full proposal. Different wiki spaces seem to be appropriate, as are Google Docs, but the idea of drafting it on GitHub is also on the table.
[Cross posted from Talking Teaching]
Ed Yong in Not Exactly Rocket science alerted me to an article published in
Biological Letters Biology Letters from the Royal Society. I will not discuss the content of the article, Ed Yong has (as usual) done a wonderful job. I would like instead to share the ‘concept’ of the article.
The article reports on some research that shows that bumble-bees use both colour and spatial relationship in their foraging behaviour. But enough about that. What is unique about this article is that the research was conducted by a group of school children. It is also unique in that it is written by a group of school children (in their language). And the icing on the cake are the figures: pencil coloured; no fancy graphic software.
This is, in my opinion, authentic teaching at its best. And authentic learning. And while we are at it, authentic publishing.
So what have I learned from this group of children? That, as they say, science is fun. And that teaching science, whatever the student age group, can be made fun and authentic and can get children motivated.
The background reads:
Although the historical context of any study is of course important, including references in this instance would be disingenuous for two reasons. First, given the way scientific data are naturally reported, the relevant information is simply inaccessible to the literate ability of 8- to 10-year-old children, and second, the true motivation for any scientific study (at least one of integrity) is one’s own curiosity, which for the children was not inspired by the scientific literature, but their own observations of the world.
I could not agree more. I love biology because I ‘played’ with biology as a child. I was fortunate enough to have a father who never answered my question with ‘I don’t know’ without following that up with ‘but lets try to find out’. As a child my father valued my questions and my curiosity, more so about things he didn’t have an answer for. And I will always be grateful to him for that. For my teachers, well, that was a different issue: rather annoying having a pupil in the class that just refused to overcome the ‘why?’ stage.
And these children have been given a great gift by being it let known that their thoughts and ideas have value. And that, once that barriers that have to do with the specific language of the scientific literature are withdrawn, their ideas and thoughts can bring about new knowledge.
These children will also grow up having learned a few fundamental things about science: How an idea is brought into shape, how scientific questions are narrowed, and the hard work and discipline that is needed to see an experiment through. Oh yes, and that no matter how good an idea may be, reviewers may still reject your grant.
None of this they could have learned from a science textbook.
The editors of the Royal Society should also be commended for not requiring that the manuscript adjust to the traditional publishing formats and allowing the authentic voice of the children to come through. This paper should become obligatory reading in science classes. If nothing else, children will recognise their own voices and curiosity in the reading, and, who knows, other groups of children with innovative teachers may teach us (adult scientists) another thing or two.
P. S. Blackawton, S. Airzee, A. Allen, S. Baker, A. Berrow, C. Blair, M. Churchill, J. Coles, R. F.-J. Cumming, L. Fraquelli, C. Hackford, A. Hinton Mellor1, M. Hutchcroft, B. Ireland, D. Jewsbury, A. Littlejohns, G. M. Littlejohns, M. Lotto, J. McKeown, A. O’Toole, H. Richards, L. Robbins-Davey, S. Roblyn, H. Rodwell-Lynn, D. Schenck, J. Springer, A. Wishy, T. Rodwell-Lynn, D. Strudwick and R. B. Lotto (2010) Blackawton bees. Biology Letters DOI:10.1098/rsbl.2010.1056
…to file my Annual Performance Review.
Nothing makes me shiver as much as the Dean’s email reminding us that it is time to file our Annual Performance Reviews (APRs). This year shivering does not begin to express the feeling I got upon receiving that email.
What have I achieved this year? ‘Nothing’ was the first thing that came to mind. This was followed by a profound state of panic!
But wait, there is more….
This has been probably the most difficult year of my entire life. Those who know me will also know that I have had really difficult years. So this is not a light statement. It has been filled by personal and professional crises, nights with no sleep, anxiety, and the health issues that come with all that. So back to my APR – Nothing. (This does not help my sleep issues)
Or so I thought until I realised I was looking for ‘measures of performance’ in the wrong places. So yes, the papers are still being written and haven’t been submitted, I haven’t attended any ‘scientific meeting’, I haven’t received any new grants. I could go on.
But crises did not just ‘happen’. Mine came about because this has been a year in which my way of thinking and doing things has been challenged to its roots. Deep, deep roots. So perhaps, I have a lack of sense of achievement because I am looking in the wrong places.
Sure. I didn’t go to any ‘scientific meetings’. But this is where I did go to: Science Online 201o, the Linux Conference, KiwiFoo, SciFoo, the Data Matters workshop, the eResearch conference. I also became an Academic Editor for PLoS ONE and became more engaged with the discussions about science on social networks like Twitter and FriendFeed. And I have to say, I learned more about ‘Science’ this year that in my entire career. And I was reminded not just of why I got into science in the first place, but also what kind of scientist I wanted to become.
I also attended couple of workshops and conferences on innovative teaching, I completed my first year in a degree in education, became involved with WikiEducator, and was reminded not only why I got into teaching in the first place, but also what kind of teacher I wanted to become.
I also became engaged with a variety of issues. From Public ACTA, and OpenLabour, to olpc and Creative Commons. And I was reminded of the kind of citizen I thought I was to become.
I guess with great moral crises also comes great change. So I am actually looking forward to next year, when I hope that all the struggle of 2010 will pay off in the form of positive change and positive action.
To all of you out there that gave me the chance to talk to you, who offered your ideas and listened to my ramblings, who helped me organize my thoughts, formulate my goals and provided me with guidance and support, my most sincere Thank You.
As for my APR, it will be hard to fill. Can I just say:
‘This year I learned’?
What does it mean, in science, to be open?
I don’t know.
I wrote a while back, that while I endorse the principles of ‘openness‘, I struggle with the issue of ‘how‘. Since then I have been trying to listen and learn. [Or, better said, shut up and listen.] I started trying to see what hurdles I encountered trying to work exclusively on Open Source Software. I joined the Learning4Content course at WikiEducator. I started looking into platforms that would fit my needs as an open lab notebook. I tried to follow the Open Science Summit. I listened hard at sessions at SciFoo Camp. I went to some New Zealand open data discussions. I became an Academic Editor at PLoS ONE. I joined the panel of the Creative Commons Aotearoa New Zealand.
And after several months of ‘listening’ the one thing that keeps popping in my head is:
kubke, you ain’t gonna figure it out by yourself.
The loudest message that I heard is, perhaps, that there is not a single, simple, one-size-fits-all answer, and that it just may come down to fumbling through until we figure it out.
So, I decided to fumble.
I am taking in Summer students this summer to work on a project that I will try to make as ‘open’ as possible.
I am leaning towards a few things:
- I am pretty sure I want to give Mahara a go as a platform for the day-to-day ‘lab’ stuff.
- I am pretty sure I want to regularly put as much as I can into my space in OpenWetWare.
- I am pretty sure I want to try to shift my imaging to Open Source Software (e.g., Osirix, ImageJ, Cell Profiler)
- am pretty sure I want to put the work out there as it is being gathered.
What I am not so sure about is how this will work. It will be a steep learning curve, but one thing that I am hoping is that by giving it a go I may begin to get the answers.
And hopefully some of the smart people out there might give me a hand and help me steer the boat in the right direction.
Whenever I try to teach some aspects of neuronal integration in class, I run into trouble, since most of the neuronal properties are defined by mathematical formulae that describe the electrical properties of neurons that are sometimes difficult for the students to grasp. Without a basic knowledge of electricity, it is hard to build a conceptual image of what neurons are doing.
Or is it?
I was invited to talk about the brain to a group of 9-11 year old pupils in a primary school in the North Shore yesterday, when I thought it might be fun to try to build neurons and discover how they worked. So, here is my water neuron:
It turns out, this little water neuron (which can be built with pretty much household items) has a lot to show about the passive properties of neurons.
The pipette dropper was used to inject [current] water into the different dendrites. Because of the properties of the dropper, there is a limit to the amount of current that can be injected at a given time, and the injection of current is not instantaneous but has a time course that is analogout to the time course of the synaptic potential.
Spatial and temporal integration:
Current can be injected in one or more dendrites with different time patterns. Injecting into all dendrites at the same time, or into one or more dendrites at different time intervals provides a good idea of how the output of the neuron is shaped by spatial and temporal integration.
By tilting the ‘soma’ to different degrees the amount of current needed to be injected into the dendrites to allow for an output of the axon will increase. Therefore, one can build neurons with different thresholds and see how that affects the output of the neuron.
One can poke tiny holes into the soma so that some of the current injected into the neuron leaks out. Combining this with changing threshold and the temporal patterns of injection into the dendrites is a good way of showing how temporal and spatial integration work in different ways to produce an output through the axon. One can also put some leaks into the axon, and ‘myelinate’ it with saran wrap to show the insulating properties of the myelin sheath.
Although this ‘water neuron model’ cannot illustrate the active properties of the neurons, it does contribute to an intuitive construct of how currents may be acting in individual neurons. The different neurons can be connected to form a circuit, and then one could examine how the output of the circuit is affected by changing things likethreshold, leak and number of inputs into individual neurons.
Well, it was fun. I may give this a go in my next neuro class at Uni.