Resources

Here’s a list of the resources – equipment, training, material and expertise – at Stockholm University that fall under digital human sciences. Some of the listed resources are also a part of the national Swedish infrastructure Huminfra.

Stockholm University Brain Imaging Centre (SUBIC). Photo: Jens Olof Lasthein

Equipment

Advanced equipment for studies in digital human sciences is available at Stockholm University, for example at SUBIC.

EEG-equipment

SUBIC is a multidisciplinary infrastructure dedicated to research on brain structure and function, as well as other fields benefiting from imaging micro structures. SUBIC operates a 32/64-channel BioSemi Active 2 EEG system.This system is based on micro-amplifiers in each electrode and provides a solution to the problem of interference pickup of the cables by suppression of interference by impedance transformation directly on the electrode. In addition, the EEG booth is a sound attenuated Faradage cage, meaning that outside signal interference is further reduced.

More information on the EEG-equipment

X-ray microscope

SUBIC uses a Xradia Versa 520 for X-ray imaging experiments. Zeiss Xradia Versa 520 is the most advanced model in the Xradia Versa family. With user-friendly control software, automatic loading robot, and advanced microscopic system, our machine offers the best experience for researchers. It has been used to make non-destructive, high resolution 3D Imaging of everything from insect eyes to animal bones and fossils.

More information on the X-ray microscope

Anechoic chamber

The anechoic chamber, "Tysta rummet", is an essential part of the Phonetics Laboratory. This is a recording studio designed to completely absorb sound reflections and to be insulated from exterior sources of noise. Thus, it is very silent and has virtually no reflected signals (i.e. room acoustics). We use the anechoic chamber for speech recordings that require highly controlled acoustic conditions approximating so called “free field” conditions.

More information on the Anechoic chamber

MRI equipment

SUBIC operates a Siemens Prisma 3 Tesla whole-body MRI. The system includes a 64 head/neck, a 20 channel head coil, as well as some additional small target coils. The Prisma features “connectome” gradients with 80mT/m maximum gradient amplitude and 200 T/m/s maximum slew rate and a stabilized gantry that are optimized for DTI, along with and on-board GPU processor to allow rapid image reconstruction for multiband EPI and other high-throughput imaging. To facilitate behavioral neuroscience studies within the MR environment, SUBIC offers several ancillary equipment.

More information on the MRI equipment

Training

The Department of Computer and Systems Sciences is one of the departments at Stockholm University that provide courses related to digital human sciences. More courses will be added to this list.

Data Mining (DAMI), 7,5 ECTS

Course at the PhD level at the Department of Computer and Systems Sciences.

Foundations of Data Science, 7,5 ECTS

Course at the PhD level at the Department of Computer and Systems Sciences.

Material

Databases and digital archives are two examples of important material in digital human sciences. More material will be added to this list.

Swedish Health Record Research Bank

Swedish Health Record Research Bank (or “Health Bank” for short) is a unique research infrastructure containing large sets of electronic patient records. For example, the Stockholm EPR (Electronic Patient Record) Corpus. The corpus contains data from over 512 clinical units – more than two million patients – at Karolinska University Hospital encompassing the years 2006–2014.

Stockholm EPR Corpus stems from the TakeCare electronic patient records system that is used at the Karolinska University Hospital.

All patient records are de-identified. This big data corpus contains both structured information and unstructured information. The structured information contains a serial number for each patient, age, gender, ICD-10 diagnosis codes, drugs but also lab and blood values as well as admission and discharge time and date. The unstructured data contains text written under different headings. The whole corpus contains over 3 227 million tokens

Health Bank is used and has been used in a number of research projects carried out by the Clinical Text Mining Group. The research is approved by the Regional Ethical Review Board in Stockholm (Regionala Etikprövningsnämnden i Stockholm) and the Swedish Ethical Review Authority (Etikprövningsmyndigheten) under various research plans.

More information on Health Bank

Expertise

You are more than welcome to contact one of the experts in digital human sciences at Stockholm University. More experts will be added to this list.

Professor, Department of Computer and Systems Sciences

Hercules specializes in natural language processing of text, mainly Swedish. He has carried out research in natural language generation, automatic summary of text, information retrieval and, in the last 15 years, in clinical text mining (AI).

Hercules Dalianis

hercules@dsv.su.se

08161616

See profile page for Hercules Dalianis

Professor, Unit Head IDEAL and Unit Head DHS

Department of Computer and Systems Sciences. Harko’s research concerns, amongst other things, computer games and gaming, computational social simulation, agent theories and models inspired by social science (AI and social ontology), and ethics and AI.

Henricus Verhagen

verhagen@dsv.su.se

08161694

See profile page for Harko Verhagen