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favicon.ico: cameronneylon.net - Science in the Open  The onlin.

site address: cameronneylon.net

site title: Science in the Open The online home of Cameron Neylon

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the monitoring of research outputs both sources provide a foundation for developing improved indicators the concentration of these existing and potential indicators in two areas and the fact that they are relevant to specific areas leads to a question is there a way to put indicators in context and define gaps we need a framework that will help us relate them to one another for example there are many existing indicators which might be useful for examining organisations but very few of these could currently be applied to communities the data simply isn t reported that way ostrom s iad framework as a tool to understand relationships and gaps this aspect of communities and organisations plus the presence of many output based indicators lead us to ostrom s institutional analysis and development framework iad iad is used to understand how characteristics of a setting made up of organisations communities and the formal and informal rules they use come together in specific interactions called an action arena to generate outcomes which through a process of feedback change the organisations communities and rules that make up the setting the iad framework reminds us that what matters here is how the feedback from monitoring and evaluation processes is received and leads to change or leads to stabilisation while we have many indicators of specific areas of concern we have few if any that help us to understand whether organisations and communities are ready to process feedback productively do they have the capacity to engage with it and if so make good use of it the project both defined many indicators that might be useful in specific contexts but also as a result that no single indicator or even a basket of them can capture the complexity of research cultures and environments whether the policy goal is change or stabilisation the iad framework shows we need to consider how any indicators we do implement are received and be ready to adapt change or abandon them if they lead to adverse responses posted on october 28 2024 testing testing tap tap is this thing still on skkrrreeeeeeeeeeeeee posted on october 23 2018 november 1 2024 epistemic diversity and knowledge production consider this yet another commitment to trying to write here a little more regularly lots of thinking has been going on but not much writing at least not writing as i m going three things colliding over the past few weeks have led me to want to try and get some ideas down the first was a conversation one of a set really with titus brown and dan katz relating to the application of political economy and collective action theory to communities building research the second was the posting of video of a talk i gave a month or so back to our research centre the centre for culture and technology at curtin university in this i tried to work through the full story of some recent thinking for the first time i m trying to articulate what has evolved in my thinking from a view driven by network theory that open is good more open is better to an understanding of where and how things have gone wrong the final piece was the publication of a new paper preprint version is also available actually its what i read so that s what i ll link to by sabina leonelli which tackles the value of reproducibility as a concept head on leonelli s work has been a big influence on my developing thinking two pieces are particularly relevant the idea that data is not a thing but is a category defined by use that is we can t say whether a particular object is data only that something is data when it is used in particular ways this is true of many things in research the objectivist in us wants the qualities of objects like data methods and knowledge itself to be eternal platonic concepts inherent in the objects themselves in practice however these qualities only reveal themselves in certain activities these activities depend in turn on repertoires another concept i ve taken from leonelli s work this time from a paper published with rachel ankeny the concept here is that research communities are defined by practices and that these practices are not just learned but displayed and internalised in a similar manner to a musician learning repertoire as a set of hurdles to be jumped in their development i first read this paper at the same time as i was reading lave and wenger s situated learning and the parallel between craft learning see also ravetz identity making see also hartley and potts and community had a significant resonance for me in the new piece leonelli tackles the range of different and largely incommensurate meanings that are ascribed to the concept of reproducibility the paper tackles a range of disciplinarily bound practices ranging from computational sciences where there is total control yes i could quibble about machine states and compilers but this is philosophy let s accept the abstraction through to ethnography where there is the expectation that the life experience of the researcher affects the outcome and that a different researcher would reach different conclusions the article focuses on how the necessity for documentation changes as different aspects of accountability rather than reproducibility are taken into account these concepts of responsibility and accountability for sources of variability that have implications for the claims being made seems more productive and more readily contextualised and generalised the article finishes with a call to value epistemic diversity that is it is through differing kinds of cross referencing with different sources of variability accountability and reliability that we can most usefully build knowledge all of this resonates for me because i ve been working towards a similar end from a different place my concern has been thinking about how to operationalise social models of knowledge production there are a broad class of constructivist models of knowledge where validation occurs when groups come together and contest claims i have a paper currently in review that casts this as productive conflict in such models the greater the diversity of groups in contact the more general the knowledge that is created however the more diverse those groups are the less likely it is that such contact will be productive indeed it can be harmful â and in most cases involving disadvantaged groups which is practically everyone in comparison to a professional permanently employed western academic it is at the very least a significant burden and frequently significantly damaging in the talk i m trying to work through the question of how such contacts can be made safe while equally privileging the value of closing ranks returning to community to regain strength and re affirm identity if diversity is a first order principle in the utilitarian goal of making knowledge what are the principles of care that allow us to protect the communities that contribute that diversity part of the argument i make is that we need to return to the thinking about network structures five years ago i was making the case that bigger is better underpinned by an assumption that even if benefits flowed to those who were already well connected the new opportunities of scale would still spread benefits more widely that seems less and less to be the case today and the key problems appear to be ones where the benefits of locality are reduced or broken boundaries are too readily traversed and groups come into contact in non productive conflict too frequently in the talk i discuss the need to privilege locality this is the opposite of what most of our systems do today both in the wider world you need to go viral and in academia international rankings international journals many social models draw simple lines with groups inside or outside even with a mental view of groups within groups and overlapping groups this tends to miss the messiness that results from non homogenous interactions across group boundaries network structural analysis is harder to do and harder to visualise but it seems to me crucial to get a view of what the optimal dynamics are one way to frame the question of network and community dynamics is economically that is to ask how the differing groups and communities in contact are sustained and succeed or fail this in turn is a question of exchange not necessarily purely financial exchange but there are limitations to this framing models of club economics and collective action from political economy are useful here and this leads us back to the first conversation i mentioned above titus brown has been working through a series of posts relating to the nih data commons project looking at the goods produced in open source projects through the lens of commons and clubs goods dan katz was raising good questions about issues of time and scale that are not well captured by the classical analysis of goods chatting with egonwillighagen and derkarts yesterday drew this diagram of club public private goods and they asked me to tweet it so here it is see also https t co 8pmgibeak4 commonspilot pic twitter com rbbotclgvr titus brown ctitusbrown october 3 2018 https twitter com danielskatz status 1047442062264717312 https twitter com danielskatz status 1047449426564960256 i have quibbles with brown s analyses and often with others who use this kind of goods class analysis however i only just realised that my issue was similar to leonelli s point about data the question of what is the good in any particular case is relational not an absolute our discussion of these models tends to turn on an implicit assumption that something prestige code knowledge expert attention is the specific good in play something that in turn surfaces a common assumption in most classical economics that it is appropriate to assume some kind of numeraire good that allows exchange of all the others this is what money is for and if there s anything wrong with economic analysis its money this doesn t leave me with any firm conclusions beyond some possible routes to analysis it seems likely that simple analysis based on static descriptions of community and the environment aren t going to give us answers we need to understand dynamics of groups opening up and enclosing over time what sustains them and what they might find valuable in exchange we need agent based modelling of the network structures these occur over and ways of translating from local structure in networks to more bright lined social models of groups we need to move beyond the simple economic mathematics that is often developed from the the club economics of buchannan and olson and to develop much more sophisticated and flexible models that allow the nature of exchange and goods to change when viewed from different perspectives all in all it emphasises the conclusion i d reached that diversity is a first order principle all forms of diversity and the more diverse the better provided the coordination between groups is principled there s a lot to unpack in that word principled but i feel like its the link to the ethical dimension i ve been missing i need to dig deeper into notions of care moore priego and flourishing holbrook to tease this out posted on may 9 2018 thinking out loud tacit knowledge and deficit models this post was prompted by donna lanclos tweeting a link to a talk by eamon tewell https twitter com donnalanclos status 992843570238377984 his talk on the problems of deficit models chimed with me on issues of tacit knowledge i m still noodling around an underpinning theory of knowledge for my work blog post currently has spent nearly 12 months in the draft folder the core to the model is that general non local knowledge is made when local knowledge is translated across group boundaries this draws heavily on people like ludwig fleck and jerome ravetz and indeed most social models of knowledge ravetz makes two critical observations first that locally bound contextual knowledge is rooted in what he calls craft skills and what harry collins would refer to collective tacit knowledge in our models this is language bound context dependent and often tacit second that the attempted transfer of this knowledge across group boundaries is lossy this family of versions of the facts â will show diversity in every respect in their form in the arguments whereby they can be related to experience and in their logical relation to other facts they will however have certain basic features in common the assertions and their objects will be simpler than those of their original and frequently vulgarized out of recognition ravetz 1971 scientific knowledge and its social problems p234 emphasis added 1996 edition transaction publishers there is abstraction and generalisation but also loss of specificity and loss of detail generalisation reproducibility amongst other things for instance in collins example of building a specific form of laser requires that we make the tacit explicit that we convert collective tacit knowledge first to relational tacit knowledge and then to explicit statement this model works for me because i m interested in the question of what it is in the culture the academy or of scholars not the same thing that makes it successful where i m getting to is that we share a culture that provides some common practices and scaffolding which forces us to attempt to make our local knowledge more general publication for a start while at the same time pushing us into groups and communities that don t share language and scaffolding so that we are forced to work at this translation process across groups my hypothesis is that our long standing culture and practices actually manage this tension successfully and do so at all scales so what does this have to do with deficit models we never talk about the deficit model within the scholarly community we by definition don t have a deficit having the thing is how we define the we within the scholarly community we are more or less happy to do the work of translation of trying to explain our context for those who do not understand it because it is part of what we do complaints about referee 2 and those damn scientists aside we subscribe to a rhetoric of how much we benefit from explaining our thing that if you can t teach it you don t know it making the tacit explicit â including the tools we apply to force ourselves to do it teaching reproducibility data sharing peer review â is a core part of our culture when dealing with each other but when we talk to outsiders we invoke deficit models these fail as various responders to our tweet conversation helpfully provided links to the literature on precisely because there is not a deficit on their side of knowledge there is a deficit on our side of effective translation translation is not merely dumbing down here but the work of making concepts relevant embedding them in local scaffolding seeking to identify or build boundary objects that can be shared across the border between 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