Perspectives on computer simulation and data visualization

When it comes to critical analysis of the role of computers,
data visualization, simulations and modeling in the sciences, there’s a lot to
be learned from humanities scholars. I’m currently teaching a course on the
role of computer-generated images in contemporary science and visual culture at
Utrecht University. Yesterday I learned that the
New Media department hosts two very interesting events. Today, Tuesday October 18,
there’s a workshop on software applications as active agents in shaping
knowledge. The two keynote speakers are Dr Eckhart Arnold (University of Stuttgart),
expert in the field of simulation technologies, and Dr Bernhard Rieder (University of Amsterdam), who researches how computers
and software organize knowledge.

A week later, on October 25, Setup will host an event on
data visualization
at the Wolff Cinema movie theatre in Utrecht. Some of the most striking recent
data visualization projects will be displayed on screen, and the following
questions will be addressed: what makes data visualizations so appealing? Do
they bring across the same message as the ‘raw’ data they originate from? Ann-Sophie
Lehmann (associate professor New Media en Art History, UU) will discuss the
visualizations and will throw light on some of the effects they have on
viewers. One question that came to my mind is what this particular context (a
movie theater) does to the (reception of) the visualizations, compared to a
web-based interaction on a laptop or PC, for instance.

Science mapping: do we know what we visualize?

For example, what often gets
glossed over in these endeavors is that visualizations of scientific
developments also
prescribe how these developments should be known in the first place.
Science maps are produced by particular
statistical algorithms that might have been chosen otherwise, calculations
performed on large amounts of ‘raw’ data
stored in databases, and for this reason they are not simply ‘statistical
information presented visually’.
The choice for a particular kind of visualization is
often connected to the specificities and meaning of the underlying dataset and
the software used to process the data.
Several software packages have been specifically
designed for this purpose (the VOSViewer supported by CWTS being one of them).
These packages prescribe how the data should be handled. Different choices in
selection and processing of the data will lead to sometimes strikingly
different maps. Therefore, we will increasingly need systematic experiments and
studies with different forms of visual presentation (Tufte, 2006).

At the same time, a number of interfaces are built into the mapping
process, where an encounter takes place with a user who approaches these
visualizations as evidence.

But how do these users actually behave?
To our knowledge hardly any
systematic research is done on how users (bibliometricians, computer
scientists, institute directors, policy makers and their staff, etc.) engage
with these visualizations, and which skills and strategies are needed to engage
with them.
critical scrutiny is needed of the degree of ‘visual literacy’ (Pauwels, 2008)
demanded of users who want to critically work with and examine these
visualizations. The visualizations
technical or
formal choices that determine what can be visualized and what will remain
hidden. Furthermore, they are also shaped by the broader cultural and
historical context in which they are produced.

here is a
tendency to downplay the visuality of science maps, in favor of the integrity
of the underlying data and the sophistication of transformation algorithms.
However, visualizations are “becoming increasingly dependent upon technology,
while technology is increasingly becoming imaging and visualization technology”
(Pauwels 2008, 83). We expect that this interconnection between data selection,
data processing and data visualization will become much stronger in the near
future. These connections should therefore be systematically analyzed, while
the field develops and experiments with different forms of visual

As said, science
mapping projects do not simply measure and describe scientific developments –
they also have a normative potential.
Suppose, in an hypothetical example, that the director of a research institute wants to
map the institute’s research landscape in terms of research topics and possible
applications, and wants to see how the landscape develops over the next five
years. This kind of mapping project, like any other description of reality, is
not only descriptive but also performative. In other words, the map that gets
created in response to this director’s question also shapes the reality it
attempts to represent. One possible consequence of this hypothetical mapping
project could be that the director decides on the basis of this visual analysis
to focus more on certain underdeveloped research strands, at the expense of or
in addition to others. The map that was meant to chart the terrain now becomes
embedded in management decision processes. As a result, it plays an active part
in a shift in the institute’s research agenda, an agenda that will be mapped in
five years’ time with the same analytical means that were originally merely
intended to describe the landscape.

A comparable example can actually be found in
Börner’s book: a map that shows all National Institute of Health (NIH) grant
awards from a single funding year.
The project comes with a website, giving
access to a database and web-based interface. The clusters on the map
correspond to broader scientific topics covered in the grants, while the dots
correspond with individual grants clustered together by a shared topical focus.

Here, too, it
would be informative to analyze the potential role these maps play as policy instruments
(for instance, in accountability studies). This type of analysis will be all
the more urgent when
bibliometric maps are increasingly used for the purposes of research
evaluation. The maps created on the basis of bibliometric data do not simply ‘visualize
what we know’. They actively shape bibliometric knowledge production, use and
dissemination in ways that require careful scrutiny.

International networks start to drive research

Networks of
collaborating scientists spanning the globe are increasingly shaping the research
landscape. The share of papers co-authored by researchers from different
countries is steadily growing. More than one third of the papers is now based
on an international collaboration, up from one quarter fifteen years ago. On
top of this, these internationally co-authored papers have a higher citation
impact. Each foreign partner in a paper increases its potential to be cited up
to a tipping point of approximately 10 countries. The dynamics of these
international networks together with sustained investments in scientific
research by an increasing number of countries produce a much more multipolar
world. Not surprisingly, China is rising fast. Ranking countries on the number
of scientific papers produced, China is now number 2 with a share of 10 % of the
international scientific production. It is expected to become number 1 within a
few decades. Brazil and India are also emerging as powerful players on the
international scene. But the rise of new scientific centres is not restricted
to the BRICS countries. In the Middle East, both Turkey and Iran are investing
strongly with an enormous growth of authors and papers as a result. While Iran
published a bit more than 700 papers in 1993, in 2008 this was already more
than 13 thousand. Turkey published in 2008 four times as much as in 1996 and
its number of researchers has grown by 43 %. Still, the current heavyweights
are dominating the rankings based on citation numbers. With a decreasing share
in total publications (down from 26 top 21 %), the United States still attracts
the majority of citations, more than 30 % of all publications cite work
originating in the United States. Chinese papers have significantly less
impact: with 10 % of the share of papers, the Chinese collect only 3 % of the


These are
some of the highlights of the recent report of the Royal Society (UK),
Networks and Nations: Global scientific collaboration in the 21st century
This report is based on an analysis of all papers in the Scopus database
(Elsevier) published between 2004 and 2008, compared with the production
between 1993 and 2003. The report combines these findings with five case
studies of prominent international research initiatives in health research,
physics, and climate research. I think this report is a goldmine of interesting
facts and sometimes surprising developments and a must read for all science
policy actors.


European science policy makers, the report should moreover give pause for
reflection. The fast rise of international networks is particularly relevant
for Europe because of the rise of anti-immigration parties that currently have
a big impact on policy in general, and thereby also on science policy. The
share of internationally co-authored papers in the European countries is
rising, which means that the researchers in Europe need to be supported in
creating more international collaborations. This simply cannot be combined with
an anti-immigration policy focused on blocking international exchange of
scientific personnel. In Europe, very different from Asia, the general
political climate therefore seems to be out of step with the developments in
the world of science and scholarship. A creative science policy requires an
open attitude eager for international exchange of ideas and people, not least
also with colleagues in Turkey and Iran. And Turkey should become a member of
the European Union as soon as possible.


The report
also shows nicely that internationalization is not a simple process. Overall,
the number of internationally co-authored papers is on the rise. And in the
current scientific centres, this goes together with an increase of the share of
international papers in the total national scientific production. But in China
and Brazil, the share of international papers is decreasing, while the absolute
number of internationally co-authored papers is rising. Turkey and Iran show
comparable trends, albeit less clear.The
explanation is that in these countries the national research capacity is
building up faster than the growing international collaborations.