20120214

e-Research: social media for social sciences (revisited)

On February 15, 2012, I am speaking at a research seminar at the Internet Interdisciplinary Institute on how to use online tools on the process of doing research. This is a very slightly modified version of a former seminar that I did back in January — e-Research: social media for social sciences —, so all the things that were said there apply here: RSS feeds (and a feed reader) are your best friends, a personal website is not an option, adopt tools as you need them (not all of them in a row and without a sense of purpose), and be digital.

Since I began my crusade for the adoption of web 2.0 tools (now social media) to enhance research, I have evolved from the “you do need all this stuff” motto to “you do not need all this stuff… but a couple of things are a must”. So, I would really like to stress a couple of points:

  1. In a knowledge society, ICTs are a must. They are a train that you cannot let pass: you will either jump in or you will be crushed under its wheels, but there is no stepping aside. This especially applies for knowledge workers (e.g. scientists). Some people still see the use of some tools (blogs, twitter, RSS feeds) in science as rocket science: this is not even wrong. ICTs are to scientists what tractors are to farmers. Of course you can live without them, but it is very likely that you will be working with less efficiency and less efficacy.
  2. Yes, mastering ICTs and those always changing social media require a certain degree of digital competence, which is not innate and, thus, has to be acquired. As the Spanish saying says: there are neither hurries, nor pauses. But lack of digital competence should not stop you from trying to use social media for research (“those ain’t for me”), the same way you began with your elementary maths to end up calculating multinomial logistic regressions.
  3. Be digital. Just be it. If you are duplicating your tasks, you are not being digital (enough). Social media is about leveraging what you already did on your computer by putting it online. Your papers, your slides, your notes, your readings… if they’re on digital support, they can be online with minimum effort (if they ere not on digital support, please see point #1). I tend to say that e-Research is about making your “digital life” overlap 90% of your “analogue life”. There is an added 10% extra work, indeed, but it is worth doing it compared to benefits.

[click here to enlarge]

Downloads:

logo of Prezi presentation
Prezi slides:

Peña-López, I. (2011). e-Research: social media for social sciences. Research seminar at the Internet Interdisciplinary Institute. February 15, 2012. Barcelona: ICTlogy.
logo of PDF file
Slides as a PDF:

Peña-López, I. (2011). e-Research: social media for social sciences. Research seminar at the Internet Interdisciplinary Institute. February 15, 2012. Barcelona: ICTlogy.
logo of PDF file
Book chapter:

Peña-López, I. (2009). “The personal research portal”. In Hatzipanagos, S. & Warburton, S. (Eds.), Handbook of Research on Social Software and Developing Community Ontologies, Chapter XXVI, 400-414. Hershey: IGI Global.
20120115

e-Research: social media for social sciences

On January 12, 2012, I spoke at a research seminar on how to benefit from the use of social media to enhance research, both in the stage of being aware of the advancement of one’s discipline, and in the stage of diffusing one’s own research production.

The seminar had three different parts.

During the first part, I provided an introduction to social media, where I mainly explained the main ways that information can be shared (and, thus, also monitored): RSS feeds, widgets and open APIs. Put short, RSS feeds share preset bits of information (e.g. an article, a list of articles, etc.), widgets share preset bits of information plus a preset way of presenting it (a list of last tweets you can embed on a website, a like button, etc.) and open APIs allow an external user to ask a database for customized collections of data (e.g. put on a map the last tweets on a given subject).

During the second part — the core of the seminar — I went through an imaginary typical research process, from the moment one has an idea that wants to explore until the research is over and a research output can be presented. I draw two parallel timelines where I complemented the traditional way of doing research (on the right in the presentation) and how this could be enhanced with social media (on the left in the presentation). I stressed the idea that social media is a complement and never a substitute of the traditional ways of doing research. That is, tweeting about a topic or writing on an academic blog should not stop anyone from attending conferences or writing academic papers.

The last part of the seminar was a debate about the pros and cons of using social media to do research.

There are four points I would like to highlight from that debate and that were directly or indirectly asked to me during our talk.

  1. What is the basic, fundamental tool: RSS feeds. Period. It is for me very important to be aware of the fact that, with the help of RSS feeds, you don’t have to look for information, but information will get to you. And this is a significant leap in reaching higher stages of efficiency and efficacy in managing information.
  2. If you are a knowledge worker and you are not present in the information landscape, you are not. Having a personal/research group/research project website is not an option, but a must.
  3. Where to start from? It depends. Begin with a part of your research. If you are in the stage of gathering information, set up a monitoring/listening strategy: identify your actors and subscribe to their blogs, twitter accounts, slideshare accounts, etc. If you are in the stage of diffusing your research production, set up a diffusion strategy, upload your papers and slides, comment on others’ websites (pointing back to yours, etc.). Managing efficiently your bibliography (i.e. with a bibliographic manager) is also a way to begin managing your own information/knowledge.
  4. Think digital, be digital. e-Research is not about adding a digital layer, and, thus, adding an extra amount of work, but about changing your working paradigm, about levering all the work you are already doing on digital support.

Following you can find and download the slides I used. You can also download a book chapter where I explain in detail the building of a Personal Research Portal. There is a collection I maintain, The Personal Research Portal: related works which gathers everything I have written or said about this topic.

[click here to enlarge]

Downloads:

logo of Prezi presentation
Prezi slides:

Peña-López, I. (2011). e-Research: social media for social sciences. Research seminar at the Open University of Catalonia. January 12, 2012. Barcelona: ICTlogy.
logo of PDF file
Slides as a PDF:

Peña-López, I. (2011). e-Research: social media for social sciences. Research seminar at the Open University of Catalonia. January 12, 2012. Barcelona: ICTlogy.
logo of PDF file
Book chapter:

Peña-López, I. (2009). “The personal research portal”. In Hatzipanagos, S. & Warburton, S. (Eds.), Handbook of Research on Social Software and Developing Community Ontologies, Chapter XXVI, 400-414. Hershey: IGI Global.
20090617

Social network analysis: new forms of knowledge visualization

Live notes at the eResearch seminar by Tíscar Lara, Mariluz Congosto and José Luis Molina entitled Análisis de redes sociales: nuevas formas de visualización del conocimiento (Social network analysis: new forms of knowledge visualization). Citilab, Cornellà de Llobregat (Barcelona), Spain, June 17th, 2009.

See also e-research tag.

A collaborative experience to visualize social networks
Tíscar Lara, Mariluz Congosto

Blog analysis based on journalists that have a blog, as a middle ground between pro and personal. Of special interest how is the identity built: Identity building: domain name, about section, personal photography, affiliation, etc.

The network of blogs gets complicated with other Web 2.0 services. There’s a need to manage the increasing data with a model: Barriblog.

The model is based on two axes — content affinity and intensiveness of relationship — and measures links, conversations/comments and citations, adding them up in a relationship index.

Improvements on the model: time series, how have other web 2.0 applications (e.g. Twitter) impacted on blog usage and blog networking, etc.

[click here to enlarge]

How to visualize?

  • Content
  • Time
  • Maps
  • Relationships

(see also: Gathering of visualization tools)

Visualizing Transnationality
José Luis Molina

How can we map transnationality? Focusing on flows; focusing on active contacts with people with the same origin; focusing in the geographical distribution of all active contacts.

For instance, a visualization of Chinese immigration in the Barcelona metropolitan area shows that there’s more relationship with the country of origin (China) or the US, than within immigrants; that immigrants mainly settle in Barcelona and have poor relationship with Catalan rural areas; and that within Barcelona, they move around relatively few places. Visualization allows immediate glance to these facts while raw data does not.

Many ethical issues arise in an ether that covers all, where everything we do is registered/tracked.

Use visualization to make better research questions, to get qualitative observations after quantitative data.

NOTE: difficult session where to take notes, as everything was so… visual.

e-Research: opportunities and challenges for social sciences (2009)

20090513

Open Science: redefining the boundaries of the Academy

Live notes at the eResearch seminar by Antonio Lafuente (CSIC) and Ismael Peña-López (Universitat Oberta de Catalunya) entitled e-Research: oportunidades y desafíos para las ciencias sociales (e-Research: opportunities and challenges for social sciences). Citilab, Cornellà de Llobregat (Barcelona), Spain, May 14th, 2009.

See also e-research tag.

Open Science and expanded authority
Antonio Lafuente

Open Science

What is open science? Can science not be open? Are we the product of the scientific revolution or is it the scientific revolution a product of the modern era?

The scientific revolution during the XVII and XVIII centuries was not about a dire change in methodology, but opening the process and results of science, making them public and transparent, opening knowledge to many. And it does seem now that we’re revisiting that era again, threatened by the menace of a closure of science.

During these centuries, a new character appears in science: the fact. And, with it, quantification and measurement of phenomena. But then the possibility appears too to register and appropriate knowledge through intellectual property rights. This leads to a process of privatization of knowledge (and universities…).

Threatening knowledge

We live in a Damoclesian era (Moran), scared masses are easier to lead/manage.

On the one hand, there are increasingly powerful lobbying activities that include positioning “experts” in supposedly independent scientific committees, with manifest conflict of interests. Neutrality, thus, is at stake.

Second, secrecy is a growing practice of which there’s evidence to be dragging the efficiency of the practice of science.

The crisis of peer review, affecting the “market” of scientific reputation, which, at its turn, affects tenures, prizes, grants… and indeed most policy-making and decision-taking depends on expertise and reputation.

Endogamy of citation procedures creates a resonance where most articles state the same discoveries but rely, aggregately, in just a few of them. Thus, there is few practice and experimentation and most (vague) citation and repetition of preceding literature, reinforcing — instead of testing or refuting — ungrounded (or poorly grounded) discoveries.

The speed of times also plays havoc on the slow path that science needs.

Uncertainty — or risk, according to Ulrich Beck — also requires more open and collaborative science, as the complex is too difficult to handle by few scientist working together.

Examples of Open Science

Innocentive: a community “to broadcast problems”. Innocentive has put into practice disperse and multidisciplinary talent.

Scott Page: The Difference, with examples of “why 1+1 is not 2″, or how to join efforts in solving problems.

The US Patent System: Not only the system has to grant patents, but research the prior art of the submitted patent application. But the prior art is so huge, that it just cannot be tracked. To solve this, a peer-to-patent project has been created: when a patent is submitted, it is published and whoever is affected by it (i.e. has some prior rights to what the patent claims) can object to that new patent application.

Electrosensibilidad: 13,000,000 Europeans state being electrosensible, meaning that electrostatic waves disable people to work and even live comfortably. But this “disease” is not acknowledged as so. A citizen platform has been created continent wide to share knowledge in order to define the symptoms, the consequences and force governments to acknowledge this disease.

Open Access: is a claim from scientist to recover an image of people working for the common good. The idea is that all knowledge publicly funded should be made public — and not transferred to private hands by giving away intellectual property rights e.g. to publishers. Besides moral issues, open access pays back both economically and scientifically (in citations, publishing impact, etc.).

How can eResearch contribute to enhance Research?
Ismael Peña-López

Please see How can eResearch contribute to enhance Research?

[click to enlarge]

Q & A

Adolfo Estalella: It is an acknowledged truth that most collaborative projects (e.g. Wikipedia, Linux) are run by minorities, though there might be a huge community around them. Is it a problem of values? or what? Antonio Lafuente: Yes, it is a matter of values. Another issue is that authority cannot be automatized and requires curation. In an open review system, there’ll be more transparency and less probability to trick. And technology can enable this. On the other hand, there are several evidences where multitudes can produce quality.

Adolfo Estallella: but, will everyone review everything they read? how can we engage readers of open content to review, without explicit incentives, e.g. the papers they read? Antonio Lafuente: Maybe we should acknowledge and accredit comments and reviews, so that there is an incentive making them.

e-Research: opportunities and challenges for social sciences (2009)

20090511

How can eResearch contribute to enhance Research?

On Wednesday 13th May 2009, 17:30, I will be speaking at the 4th session of the seminar series e-Research: oportunidades y desafíos para las ciencias sociales (e-Research: opportunities and challenges for social sciences), side by side with Antonio Lafuente.

My part of the seminar will give a practical insight into eResearch — or Enhanced Research —, a concept that meets in the same crossroads as Open Science, Science 2.0 and e-Science do. Unlike what is generally believed, I don’t think about eResearch or Science 2.0 (the two more neighbouring approaches) as opposite to “traditional” science, but as a complement, as a next step, as an enhancement as the name itself implies. Of course, the more an enhancement is mainstreamed, the more it is likely not to enhance but to transform the enhanced subject. Thus, I believe that the Internet brings an inflexion in the practice of Science (and all knowledge-related practices — dozens of them), and that it is only a matter of time to see how new literacies are a must to keep on with such practices.

That said, the presentation begins with a (very) simplified scheme of a researcher’s timeline — again, the extrapolation into other knowledge-based jobs is almost immediate —, from having an idea to seeing it published on a peer reviewed academic journal, and including (some of) the steps the researcher usually goes through.

The timeline is then complemented — enhanced — by some “2.0″ practices that can potentially help the researcher (the knowledge worker) in their work. One of the key points to stress here is that for this potential to (a) materialize and (b) have a positive return of investment, it is strictly necessary to mainstream the “2.0″ practices in the researcher’s everyday life. At least in a higher degree (e.g. 80%).

For instance: this post is but my own guidelines to impart the seminar, which exist not in paper;the presentation that follows is the one I will be using; and the reference to my bibliographic manager feeds the database with the bibliographies I work with, the online repository of my works and my online CV; hence the only “added” effort is uploading the zipped file of the presentation.

[click to enlarge]

More information

I want to thank Adolfo Estalella, Elisenda Ardèvol and all the Mediacciones research group for the idea of setting up this series of seminars — thanking (or blaming) them for inviting me, this falls on the audience.

NOTE: to comfortably browse the presentation in Prezi.com, open it in a new window, click once in the presentation, and use Page Up and Page Down to move along “slides”.

20090429

Visual methods: Knowledge production and ways of representation

Live notes at the eResearch seminar by Roger Canals (Universitat de Barcelona) and Juan Ignacio Robles (Universidad Autónoma de Madrid) entitled Visual methods: Knowledge production and ways of representation. Universitat Oberta de Catalunya, Barcelona, Spain, April 29th, 2009.

An introduction to Visual Anthropology
Roger Canals

Visual Anthropology is the part of anthropology that takes the:

  • Image as an object, an object whose goal is to be seen. And this object creates social relationships, are social enablers;
  • Image as methodology, as a way to approach the reality; either by using already existing images and measuring the reactions of social actors towards these images, or by producing new images (photography, cinema, etc.)
  • Image as a discourse, images being used to transmit the findings, conclusions of the research itself.

Three steps: how images are represented, how a relationship is created between people and images, how a relationship is mediated amongst people through images.

Burke: image is valid in social sciences if it is contextualized.

Specificities of ethnographic cinema: the camera as a special object that needs “problematising”, putting it in context, make evident its use, its influence on what is seen and how it is seen…

On the one hand — a positive approach, by e.g. Vasant — we can believe that the genesis of the photographic image is automatic, unconscious and objective. There is no human intention (e.g. like in painting) in photography or cinema. Thus, we have to believe in the photographed object.

On the other hand — a post-modern approach, by e.g. Deleuze — we can also understand photography as a built image and, hence, it is useless for anthropology.

Of course, both points of view can co-exist. It is the double regime of the cinematographic image, with an immediate component and a complex component.

Use of cinema in anthropology:

  • Register. Though the context is very important to correctly frame this register. E.g. Nanook of the North is not a good ethnography about Eskimos, but it is a good ethnography about the encounter of Nanook and Flaherty.
  • Meeting point (dialogic camera)
  • Performance. As the camera is not invisible, all cinema is, on a certain degree, a performance.

All three combined provide a cinematographic way to approach reality: the data one gets are different (than without a camera), and the way these “data” (findings, reflections, etc.) are explained is also radically different than with other ways of representation (e.g. written language).

It is possible to think cinema ethnographically, as the way we produce the film (lightning, screenplay, etc.) does affect our research. And ethnography cinematographically: as post production, editing and mounting, etc. are also parts of the analysis of our subject of research

Transcultural cinema: camera is a research instrument and cinematographic decisions come (partially) determined by the characteristics of the subject of research.

Examples of visual ethnography
Juan Ignacio Robles

Markets, lives and suburbs

Juan Ignacio Robles presents a visual ethnography that does research on how different retail sellers in downtown markets face competition by supermarkets and illegal groceries. Footage is shot in three different European cities.

Problems: sometimes it is difficult not to break the space-time environment of the representees as sometimes it is not allowed to tape inside supermarkets. On the other hand, the quality of the equipment also determines how and what you can tape, depending of the circumstances of the people to be taped (e.g. noise in open air markets).

Rachida’s Kids

Project to show how Islam is taught in Spanish public schools. The camera enabled a higher degree of openness of the taped people, showing more things and shadows that would have remained hidden had not been the camera there. The people taped were the main characters of their own story and were able to explain their own point of view without intermediaries.

Muñeiras, Cows and Churches

How the franquist regime used the NO-DO to show Spanish traditions, to praise the dictator and to foster tourism. The NO-DO was said to be “ethnographic”, and the research wants to deconstruct how the different documentaries from the NO-DO were really designed and built.

Social Theatre

The Spanish-Equatorial association create performances on the street to transform feelings of hate, apathy into social vindication. It’s a Francisco Boal’s approach to activism theatre, to humanize the oppressor-oppressed relationship.

Q & A

Ismael Peña-López: how does the camera causes fake performance instead of empowering taped people to talk with their own voices? why not use invisible cameras (with the due permissions ex ante or ex post)? how do we go from describing to finding relationships of causality, from the how to the why?

Isidor Fernández: does anthropologist have to master the language of cinema? Roger Canals: yes, of course (though I don’t think there’s such a thing like cinematographic language).

Adolfo Estalella: what’s the responsibility of the researcher when “stepping into” the performance that is being ethnographed?

Francesc Balagué: how does the media (cinema, TV, etc.) affects not only the result, but the research itself?

Ruth Pagès: Not make the camera invisible but even more visible, more present, and include the ethnographer inside the ethnography itself.

Juan Ignacio Robles: I don’t want an invisible camera, as the camera induces actions and events. The characters of ethnographies usually attribute the camera a leading role too. The camera is but another character.

Roger Canals: If the camera is not active in the ethnography, maybe it’s not ethnographic cinema at all. It is all the remainings of the positive approach that the reality is “pure” and we should not affect it. But this paradigm has been set aside as we believe there’s no “pure reality” at all. Anthropology only happens when there’s an encounter, hence the appearance of the camera is an absolute need for this encounter to happen.

Elisenda Ardèvol: the ethnographer is a participant and the camera mediates.

Edgar Gómez: technicalities (e.g. is the audio ok?) are not distractions from the core of the research? Won’t the camera get most attention that due? Roger Canals: it is not a matter of putting the camera in the middle of the scene/research, just to give it the appropriate attribution.

Roger Canals: for the anthropologist, the field research is very important. Before taping, there’s a lot of work to be done on the field and master the nature of the subject to be studied.

More information

e-Research: opportunities and challenges for social sciences (2009)