DISA

Centre for Data Intensive Sciences and Applications

Inbjudan forskningsseminarium “Hur kan vi förbättra digital samverkan i vården?”

2018-04-05

Digital samverkan spelar en viktig roll i personcentrerad vård för att knyta ihop vård-och omsorgsgivare med närstående. Samtidigt finns idag en frustration att ”systemen inte pratar med varandra” i de situationer där man fortfarande arbetar i digitalt isolerade öar.

– Det är inte en teknisk fråga att ”systemen inte pratar med varandra”. Det finns idag inga tekniska hinder för kommunikation mellan system. Vi behöver börja i en annan ände. Interoperabilitet handlar om samarbete mellan olika aktörer och deras behov att kommunicera med varandra, vilket kommer att öka drastiskt, säger Sten-Erik Öhlund, forskare och konsult vid CGI.

Fredagen den 13 april kommer Sten-Erik att presentera och diskutera sin forskning om interoperabilitet och de utmaningar som finns för att förbättra förmågan
att samverka digitalt, allt för en framtida bättre personcentrerad vård.

  • När? Fredag 13 april Klockan 10.00-11.30 (Från kl 9.30)
  • Var? eHälsoinstitutet, Kalmar Bredbandet 1, Varvsholmen
  • Anmäl dig genom att skicka ett mejl till ehalsoinstitutet@lnu.se eller ring 0480-49 71 62 (senast 11/4)

Se tidigare liveinspelade forskningsseminarium & vårens program 2018 www.ehalsoinstitutet.se

//Diana

Vetenskapsrådet satsar på tvärvetenskaplig forskning

2018-04-03

Vetenskapsrådet utlyser nästa år bidrag till tvärvetenskapliga forskningsmiljöer. Utlysningen öppnar den 18 april så missa inte möjligheten till nya finansieringsmöjligheter. Enligt planen som presenterats på Vetenskapsrådets hemsida så kommer utlysningen omfattar 20 miljoner årligen i upp till sex år och cirka 4-6 bidrag kommer kunna beviljas. Vetenskapsrådet planerar att utlysa bidraget vartannat år.

Syftet med satsningen är att ge forskargrupper möjligheten att utveckla tvärvetenskaplig forskning och tvärvetenskapliga forskningsmiljöer där nydanande kunskap kan förväntas. Forskargrupperna ska kombinera teorier, metoder, sakkunskap och/eller data från olika discipliner på ett sådant sätt att de öppnar upp för nya forskningsområden och forskningsansatser. Det här är en spännande möjlighet som bör passa flera av områdena inom DISA.

– Vi stödjer redan idag i stor utsträckning tvärvetenskaplig forskning inom ramen för flera av våra andra utlysningar. Men vi ser ett behov av en särskild satsning som ger forskargrupper från vitt skilda områden möjligheten att samarbeta över en längre tid och skapa de bryggor mellan discipliner som behövs för tvärvetenskapliga forskningsgenombrott, säger Sven Stafström, generaldirektör vid Vetenskapsrådet.

Här hittar du mer information om utlysningen.

//Diana

PhD course INNOVATIVE APPLICATIONS OF RESEARCH AND SCIENCE (4.5 credits)

2018-03-28

The findings, experiences, and ideas that emerge from research have traditionally been utilized through academic publication and teaching programs. However, academic impact alone is no longer enough for a successful research career. With the growing emphasis in the research funding landscape on maximizing impact beyond academia, it is increasingly important that researchers reach wider society by embedding non-academic impact strategies in their projects, by working with a range of non-academic partners, and by using ever more innovative methods of dissemination and utilization. This course showcases a range of approaches researchers can employ to ensure that their research has impact and relevance beyond universities. It will also provide students with tools that will help them best communicate the value of their work to research funding agencies and potential investors.

The course is offered to PhD students in all disciplines from Linnaeus University and three other universities. The course consists of three mandatory seminars in the autumn of 2018 (Örebro, Östersund and Stockholm) provided by the Faculty of Humanities and Social Sciences, Karlstad University. The innovation office Fyrklövern covers the cost of your course travel and accommodation. The course is taught in English.

You can apply to the course from 1st March at 9:00 AM. Please send your application to fyrklovern.doktorand@kau.se by 11th May. You should provide your name, department, contact details, and a short description (max. 100 words) of your research project. Please ensure that you obtain your supervisor’s approval for attending the course, and also state their name in your application email.

For more information see course description or contact Mathias Gaunitz, Grants and innovation office at Linnaeus University

//Diana

Conference: VINCI, August 13-15 2018

2018-03-26

Welcome to the 11th International Symposium on Visual Information Communication and Interaction (VINCI ‘18) that is arranged in Växjö August 13-15, 2018.

The Symposium on Visual Information Communication and Interaction (VINCI) is the premier international forum for researchers and industrial practitioners to discuss the state-of-the-art in visual communication theories, designs, and applications.

For more information and registration: vinci-conf.org

Registration latest on August 1, 2018.

//Diana

Invited journal article presentation at ACM IUI 2018 in Tokyo

2018-03-23

A journal article titled “Active Learning and Visual Analytics for Stance Classification with ALVA“, co-authored by a DISA researcher Andreas Kerren, was invited for a presentation at the ACM IUI 2018 conference which took place in the National Center of Sciences Building, Tokyo, Japan during March 7–11, 2018. The article was presented by Kostiantyn Kucher, a PhD student in Computer Science with the ISOVIS group at Linnaeus University.

ACM IUI 2018 was the 23rd annual meeting of the intelligent interfaces community, where novel top-quality contributions in human-computer interaction, information visualization, artificial intelligence, and machine learning were presented. The main topics of interest during the conference seemed to be interactive machine learning (iML) and user interfaces for explainable artificial intelligence (XAI).

Our article presented at IUI is very much relevant to these topics: it describes a visual analytics environment ALVA that is designed for annotation of textual data, management of an active learning classifier, and visual analysis of the intermediate data. ALVA was previously developed as part of the finished VR-funded StaViCTA project for stance analysis of social media texts, and we plan to adapt and apply it for future tasks in DISA research.

//Kostiantyn Kucher

Stort grattis till eHälsoområdet inom DISA!

2018-03-21

Området eHälsa får nu ytterligare förstärkning under tre år med medel för att skapa en strategisk plattform för forskning och som samverkar med det omgivande samhället. Här finns alltså möjligheter att knyta ihop tvärvetenskaplig forskning vid olika fakulteterna med forskningen inom DISA

En strategisk plattform ska utmärkas av att den bedriver forskning inom ett ämnesområde med viss bredd och samverkar med aktörer i samhället. En plattform ska involvera medarbetare från minst tre fakulteter, ha strategisk angelägenhetsgrad och även utvecklingspotential. Ledningen har också prioriterat områden med potential för extern finansiering.

För mer information kontakta Göran Petersson, Professor i hälsoinformatik inriktning läkemedelsvetenskap, verksamhetsledare för eHälsoinstitutet och vår forskningskoordinator för eHälsomorådet inom DISA

/Diana

Seed funding available to get started with new research collaborations.

2018-03-01

We are now offer the possibility of running seed-projects within Linnaeus University Centre on Data Intensive Sciences and Applications (DISA).The seed projects are intended to promote and nurture excellence research, development, and innovation in data intensive sciences and application with cross-discipline collaboration.

DISA can finance up to 100 000 SEK to initiate research cooperation with a connection to data intensive sciences and applications. The seed-project should lead up to an application for external funding.

The consortium should consist of one or more researches from the DISA-consortium in close collaboration with other researchers in order to build strong cross-discipline collaboration. It is important that all members in the consortium have an active role in the seed project. Please describe the different roles in the proposal. Industry/public sector collaboration is a plus.

The evaluation criteria include relevance of the proposal for the operational and strategic goals of DISA, feasibility of the project activity and chances to succeed with an application for external funding within the project time.

The deadline for new proposals are the last day of each month. The group of coordinators of research within DISA takes a decision at their monthly meetings and you will get feedback on your proposal before the end of the month.

For more information about the process and how to apply click here.

Good luck!

Diana

Join the Data Governance Conference, Oxford, UK, 20-21st March

2018-02-28

Anna Wingkvist, senior lecturer in Computer Science wants to inform you about this conference in Exeter College, University of Oxford, UK, 20-21/03/2018. Linnaeus university is a part of the Human Brain Project that is mentioned below and we will be represented at the conference.

On the conference website the say the following: “From its inception, the Human Brain Project has pursued questions of data governance. It has now developed a set of data policy principles and practices that foster research collaboration. The Data Governance working group, in collaboration with the UK ORBIT Project, will host this two-day conference to bring together international expertise and cutting-edge research on the topic of data governance in large collaborative neuro-ICT projects. Our purpose in doing so is to clarify current practice, identify obstacles and barriers and propose future ways of organizing data governance, particularly in the context of the GDPR coming into effect.”

If you have any thoughts or questions, please contact Anna Wingkvist.

//Diana

New PhD-course being offered within DISA – Applied Machine Learning 3 credits

2018-02-27

We are now offering the second PhD-courses related to DISA. It’s also open for other potential PhD-students.

Course content:

Data mining and machine learning is an area within computer science with the goal of bringing meaning to and learning from data. This course mixes theory and practice, with a focus on applied machine learning where we learn what algorithms and approaches to apply on different types of data.

The course includes the following:

  • Supervised learning, different types of data and data processing
  • Algorithms for handling text documents
  • Algorithms for handling data with numerical and categorical attributes
  • Neural Networks
  • Deep Learning for image recognition

Timetable

The course will start on Monday April 9 and finish by the end of the semester.

Registration

The registration needs to be finalized no later than March 19th 2018

Register here

If you have any questions please turn to Johan Hagelbäck  

//Diana