The personal and the institutional

Twittering and microblogging not permitted
Image by cameronneylon via Flickr

A number of things recently have lead me to reflect on the nature of interactions between social media, research organisations and the wider community. There has been an awful lot written about the effective use of social media by organisations, the risks involved in trusting staff and members of an organisation to engage productively and positively with a wider audience. Above all there seems a real focus on the potential for people to embarrass the organisation. Relatively little focus is applied to the ability of the organisation to embarrass its staff but that is perhaps a subject for another post.

In the area of academic research this takes on a whole new hue due to the presence of a strong principle and community expectation of free speech, the principle of “academic freedom”. No-one really knows what academic freedom is. It’s one of those things that people can’t define but will be very clear about when it has been taken away. In general terms it is the expectation that a tenured academic has earnt the right to be able to speak their opinion, regardless of how controversial. We can accept there are some bounds on this, of ethics, taste, and legality – racism would generally be regarded as unacceptable – while noting that the boundary between what is socially unacceptable and what is a validly held and supported academic opinion is both elastic and almost impossible to define. Try expressing the opinion, for example, that their might be a biological basis to the difference between men and women on average scores on a specific maths test. These grey areas, looking at how the academy ( or academies) censor themselves are interesting but aren’t directly relevant to this post. Here I am more interested in how institutions censor their staff.

Organisations always seek to control the messages they release to the wider community. The first priority of any organisation or institution is its own survival. This is not necessarily a bad thing – presumably the institution exists because it is  (or at least was) the most effective way of delivering a specific mission. If it ceases to exist, that mission can’t be delivered. Controlling the message is a means of controlling others reactions and hence the future. Research institutions have always struggled with this – the corporate centre sending once message of clear vision, high standards, continuous positive development, while the academics privately mutter in the privacy of their own coffee room about creeping beauracracy, lack of resources, and falling standards.

There is fault on both sides here. Research administration and support only very rarely puts the needs and resources of academics at its centre. Time and time again the layers of beauracracy mean that what may or may not have been a good idea gets buried in a new set of unconnected paperwork, that more administration is required taking resources away from frontline activities, and that target setting results in target meeting but at the cost of what was important in the first place. There is usually a fundamental lack of understanding of what researchers do and what motivates them.

On the other side academics are arrogant and self absorbed, rarely interested in contributing to the solution of larger problems. They fail to understand, or take any interest in the corporate obligations of the organisations that support them and will only rarely cooperate and compromise to find solutions to problems. Worse than this, academics build social and reward structures that encourage this kind of behaviour, promoting individual achievement rather than that of teams, penalising people for accepting compromises, and rarely rewarding the key positive contribution of effective communication and problem solving between the academic side and administration.

What the first decade of the social web has taught us is that organisations that effectively harness the goodwill of their staff or members using social media tools do well. Organisations that effectively use Twitter or Facebook enable and encourage their staff to take the shared organisational values out to the wider public. Enable your staff to take responsibility and respond rapidly to issues, make it easy to identify the right person to engage with a specific issue, and admit (and fix) mistakes early and often, is the advice you can get from any social media consultant. Bring the right expert attention to bear on a problem and solve it collaboratively, whether its internal or with a customer. This is simply another variation on Michael Nielsen’s writing on markets in expert attention – the organisations that build effective internal markets and apply the added value to improving their offering will win.

This approach is antithetical to traditional command and control management structures. It implies a fluidity and a lack of direct control over people’s time. It is also requires that there be slack in the system, something that doesn’t sit well with efficiency drives. In its extreme form it removes the need for the organisation to formally exist, allowing a fluid interaction of free agents to interact in a market for their time. What it does do though is map very well onto a rather traditional view of how the academy is “managed”. Academics provide a limited resource, their time, and apply it to a large extent in a way determined by what they think is important. Management structures are in practice fairly flat (and used to be much more so) and interactions are driven more by interests and personal whim than by widely accepted corporate objectives. Research organisations, and perhaps by extension those commercial interests that interact most directly with them, should be ideally suited to harness the power of the social web to first solve their internal problems and secondly interact more effectively with their customers and stakeholders.

Why doesn’t this happen? A variety of reasons, some of them the usual suspects, a lack of adoption of new tools by academics, appalling IT procurement procedures and poor standards of software development, and a simple lack of time to develop new approaches, and a real lack of appreciation of the value that diversity of contributions can bring to a successful department and organisation. The biggest one though I suspect is a lack of good will between administrations and academics. Academics will not adopt any tools en masse across a department, let alone an organisation because they are naturally suspicious of the agenda and competence of those choosing the tools. And the diversity of tools they choose on their own means that none have critical mass within the organisation – few academic institutions had a useful global calendar system until very recently. Administration don’t trust the herd of cats that make up their academic staff to engage productively with the problems they have and see the need to have a technical solution that has critical mass of users, and therefore involves a central decision.

The problems of both diversity and lack of critical mass are a solid indication that the social web has some way to mature – these conversations should occur effectively across different tools and frameworks – and the uptake at research institutions should (although it may seem paradoxical) be expected to much slower than in more top down, managed organisation, or at least organisations with a shared focus. But it strikes me that the institutions that get this right, and they won’t be the traditional top institutions, will very rapidly accrue a serious advantage, both in terms of freeing up staff time to focus on core activities and releasing real monetary resource to support those activities. If the social side works, then the resource will also go to the right place. Watch for academic institutions trying to bring in strong social media experience into senior management. It will be a very interesting story to follow.

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“Friendfeeds for Science” pt II – Design ideas for a research focussed aggregator

Who likes me on friendfeed?
Image by cameronneylon via Flickr

This post, while only 48 hours old is somewhat outdated by these two Friendfeed discussions. This was written independently of those discussions so it seemed worth putting out in its original form rather than spending too much time rewriting.

I wrote recently about Sciencefeed, a Friendfeed like system aimed at scientists and was fairly critical. I also promised to write about what I thought a “Friendfeed for Researchers” should look like. To look at this we need to think about what Friendfeed, and other services including Twitter, Facebook, and Posterous are used for and what else they could do.

Friendfeed is an aggregator that enables, as I have written before, an “object-centric” means of interacting around those objects. As Alan Cann has pointed out this is not the only thing it does, also enabling the person-centric interactions that I see as more typical of Facebook and Twitter. Enabling both is important, as is the realization that all of these systems need to interoperate effectively with each other, something which is still evolving. But core to the development of something that works for researchers is that standard research objects and particularly papers, need to be first class objects. Author lists, one click to full text, one click to bookmark to my library.

Functionality 1: Treat research objects as first class citizens with special attention, start with journal papers and support for Citeulike/Zotero/Mendeley etc.

On top of this Friendfeed is a community, or rather several interlinked communities that have their own traditions, standards, and expectations, that are supported to a greater or lesser extent by the functionality of rooms, search, hiding, and administration found within Friendfeed. Any new service needs to understand and support these expectations.

Friendfeed also doesn’t so some things. It is not terribly effective as a bookmark tool, nor very good as tool for identifying and mining for objects or information that is more than a few days old although paradoxically it has served quite well as a means of archiving tweets and exposing them to search engines. The idea of a tool that surfaces objects to Google is an interesting one, and one we could take advantage of.  Granularity of sharing is also limited, what if I want slidesets to be public but tweets to be a private feed? Or to collect different feeds under different headings for different communities, public, domain-specific, and only for the interested specialist?

Finally Friendfeed doesn’t have a very sophisticated karma system.  While likes and comments will keep bringing specific objects (and by extension the people who have brought them in) into your attention stream there is none of the filtering power enabled by tools like StackOverflow. Whether or not such a thing is something we would want is an interesting question but it has the potential to enable much more sophisticated filtering and curation of content. StackOverflow itself has an interesting limitation as well; there is only one rank order of answers, I can’t choose to privelege the upmods of one specific curator rather than another. I certainly can’t choose to order my stream based on a persons upmods but not their downmods.

A user on Friendfeed plays three distinct roles, content author, content curator, and content consumer. Different people will emphasise different roles, from the pure broadcaster, to the pure reader who doesn’t ever interact. The real added value comes from the curation role and in particular enabling granular filtering based on your choice of curators. Curation comes in the form of choosing to push content to Friendfeed from outside servces, from “likes”, and from commenting. Commenting is both curation and authoring, providing context as well as providing new information or opinion. But supporting and validating this activity will be important. Whatever choice is made around “liking” or StackOverflow style up and down-modding needs to apply to comments as well as objects.

Functionality addition 2: Enable rating of comments and by extension, the people making them

If reputation gathering is to be useful in driving filtering functionality as I have suggested we will need good ways of separating content authoring from curation. One thing that really annoys me is seeing an interesting title and a friendly avatar on Friendfeed and clicking through to find something written by someone else. Not because I don’t want to read something written by someone else, but because my decision to click through was based on assumptions about who the author was.  We need to support a strong culture of citation and attribution in research. A Friendfeed for research will need to clearly mark the distinction between who has brought an object into the service, who has curated it, and who authored it. Both should be valued but the roles should be measured separately.

Functionality addition 3: Clearly designate authors and curators of objects brought into the stream. Possibly enable these activities to be rated separately?

If we recognize a role of author, outside that of the user’s curation activity we can also enable the rating of people and objects that don’t belong to users. This would allow researchers who are not users to build up reputation within the system. This has the potential to solve the “ghost town” phenomonen that plagues most science social networking sites. A new user could be able to claim the author role for objects that were originally brought  in by someone else. This would immediately connect them with other people who have commented on their work, and provide them with a reputation that can be further built upon through taking on curation activities.

This is a sensitive area, holding information on people without their knowledge, but it is something done already across indexing services, aggregation services, and chat rooms. The use of karma in this context would need to be very carefully thought out., and whether it would be made available either within or outside the system would be an important question to tackle.

Functionality addition 4: Collect reputation and comment information for authors who are not users to enable them to rapidly connect with relevant content if they choose to join.

Finally there is the question of interacting with this content and filtering it through the rating systems that have been created. The UI issues for this are formidable but there is a need to enable different views. A streaming view, and more static views of content a user has collected over long periods, as well as search. There is probably enough for another whole post in those issues.

Summary: Overall for me the key to building a service that takes inspiration from Friendfeed but delivers more functionality for researchers, while not alienating a wider potential user base is to build a tool that enables and supports curation rating and granular filtering of content. Authorship is key, as is quantitative measures of value and personal relevance that will enable users to build their own view of the content they are interested in, to collect it for themselves and to continue to curate it for themselves, either on their own or in collaboraton with others.

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Friendfeed for Research? First impressions of ScienceFeed

Image representing FriendFeed as depicted in C...
Image via CrunchBase

I have been saying for quite some time that I think Friendfeed offers a unique combination of functionality that seems to work well for scientists, researchers, and the people they want to (or should want to) have conversations with. For me the core of this functionality lies in two places: first that the system explicitly supports conversations that centre around objects. This is different to Twitter which supports conversations but doesn’t centre them around the object – it is actually not trivial to find all the tweets about a given paper for instance. Facebook now has similar functionality but it is much more often used to have pure conversation. Facebook is a tool mainly used for person to person interactions, it is user- or person-centric. Friendfeed, at least as it is used in my space is object-centric, and this is the key aspect in which “social networks for science” need to differ from the consumer offerings in my opinion. This idea can trace a fairly direct lineage via Deepak Singh to the Jeff Jonas/Jon Udell concatenation of soundbites:

“Data finds data…then people find people”

The second key aspect about Friendfeed is that it gives the user a great deal of control over what they present to represent themselves. If we accept the idea that researchers want to interact with other researchers around research objects then it follows that the objects that you choose to represent yourself is crucial to creating your online persona. I choose not to push Twitter into Friendfeed mainly because my tweets are directed at a somewhat different audience. I do choose to bring in video, slides, blog posts, papers, and other aspects of my work life. Others might choose to include Flickr but not YouTube. Flexibility is key because you are building an online presence. Most of the frustration I see with online social tools and their use by researchers centres around a lack of control in which content goes where and when.

So as an advocate of Friendfeed as a template for tools for scientists it is very interesting to see how that template might be applied to tools built with researchers in mind. ScienceFeed launched yesterday by Ijad Madisch, the person behind ResearchGate. The first thing to say is that this is an out and out clone of Friendfeed, from the position of the buttons to the overall layout. It seems not to be built on the Tornado server that was open sourced by the Friendfeed team so questions may hang over scalability and architecture but that remains to be tested. The main UI difference with Friendfeed is that the influence of another 18 months of development of social infrastructure is evident in the use of OAuth to rapidly leverage existing networks and information on Friendfeed, Twitter, and Facebook. Although it still requires some profile setup, this is good to see. It falls short of the kind of true federation which we might hope to see in the future but then so does everything else.

In terms of specific functionality for scientists the main additions is a specialised tool for adding content via a search of literature databases. This seems to be adapted from the ResearchGate tool for populating a profile’s publication list. A welcome addition and certainly real tools for researchers must treat publications as first class objects. But not groundbreaking.

The real limitation of ScienceFeed is that it seems to miss the point of what Friendfeed is about. There is currently no mechanism for bringing in and aggregating diverse streams of content automatically. It is nice to be able to manually share items in my citeulike library but this needs to happen automatically. My blog posts need to come in as do my slideshows on slideshare, my preprints on Nature Precedings or Arxiv. Most of this information is accessible via RSS feeds so import via RSS/Atom (and in the future real time protocols like XMPP) is an absolute requirement. Without this functionality, ScienceFeed is just a souped up microblogging service. And as was pointed out yesterday in one friendfeed thread we have a twitter-like service for scientists. It’s called Twitter. With the functionality of automatic feed aggregation Friendfeed can become a presentation of yourself as a researcher on the web. An automated publication list that is always up to date and always contains your latest (public) thoughts, ideas, and content. In short your web-native business card and CV all rolled into one.

Finally there is the problem of the name. I was very careful at the top of this post to be inclusive in the scope of people who I think can benefit from Friendfeed. One of the great strengths of Friendfeed is that it has promoted conversations across boundaries that are traditionally very hard to bridge. The ongoing collision between the library and scientific communities on Friendfeed may rank one day as its most important achievement, at least in the research space. I wonder whether the conversations that have sparked there would have happened at all without the open scope that allowed communities to form without prejudice as to where they came from and then to find each other and mingle. There is nothing in ScienceFeed that precludes anyone from joining as far as I can see, but the name is potentially exclusionary, and I think unfortunate.

Overall I think ScienceFeed is a good discussion point, a foil to critical thinking, and potentially a valuable fall back position if Friendfeed does go under. It is a place where the wider research community could have a stronger voice about development direction and an opportunity to argue more effectively for business models that can provide confidence in a long term future. I think it currently falls far short of being a useful tool but there is the potential to use it as a spur to build something better. That might be ScienceFeed v2 or it might be an entirely different service. In a follow-up post I will make some suggestions about what such a service might look like but for now I’d be interested in what other people think.

Other Friendfeed threads are here and here and Techcrunch has also written up the launch.

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The failure of online communication tools

Coming from me that may sound a strange title, but while I am very positive about the potential for online tools to improve the way we communicate science, I sometimes despair about the irritating little barriers that constantly prevent us from starting to achieve what we might. Today I had a good example of that.

Currently I am in Sydney, a city where many old, and some not so old friends live. I am a bit rushed for time so decided the best way to catch up was to propose a date, send out a broadcast message to all the relevant people, and then sort out the minor details of where and exactly when to meet up. Easy right? After all tools like Friendfeed and Facebook provide good broadcast functionality. Except of course, as many of these are old friends, they are not on Friendfeed. But that’s ok because I’ve many of them are on Facebook. Except some of them are not old friends, or are not people I have yet found on Facebook, but that’s ok, they’re on Friendfeed, so I just need to send two messages. Oh, except there are some people who aren’t on Facebook, so I need to email them – but they don’t all know each other so I shouldn’t send their email addresses in the clear. That’s ok, that’s what bcc is for. Oh, but this email address is about five years old…is it still correct?

So – I end up sending three independent messages, one via Friendfeed, three via Facebook (one status message, one direct message, and another direct message to the person I found but hadn’t yet friended), and one via email (some unfortunate people got all three – and it turns out they have to do their laundry anyway). It almost came down to trying some old mobile numbers to send out text. Twitter (which I don’t use very much) wouldn’t have helped either. But that’s not so bad – only took me ten minutes to cut and paste and get them all sent. They seem to be getting through to people as well which is good.

Except now I am getting back responses via email, via Facebook, and at some point via Friendfeed as well no doubt. All of which are inaccessible to me when I am out and about anyway because I’m not prepared to pay the swinging rates for roaming data.

What should happen is that I have a collection of people, I choose the send them a message, whether private or broadcast, and they choose how to receive that message and how to prioritise it. They then reply to me, and I see all their responses nicely aggregated because they are all related to my one query. As this query was time dependent I would have prioritised responses so perhaps I would receive them by text or direct to my mobile in some other form. The point is that each person controls the way they receive information from different streams and is in control of the way they deal with it.

It’s not just filter failure which is creating the impression of the information overload. The tools we are using, their incompatibility, and the cost of transferring items from one stream to another are also contributing to the problem. The web is designed to be sticky because the web is designed to sell advertising. Every me-too site wants to hold its users and communities, my community, my specific community that I want to meet up with for a drink, is split across multiple services. I don’t have a solution to the business model problem – I just want services with proper APIs that let other people build services that get all of my streams into one place. I hope someone comes up with a business model – but I also have to accept that maybe I just need to pay for it.