DISA

Viktor Kaldo, leg psykolog och forskare, berättar om sina studier kring psykologisk behandling via internet och hur man kan använda sig av AI för att effektiviseras vårdprocesser och hjälpa fler patienter med psykisk ohälsa.

Datum och tid: Fredag den 12 april klockan 10.30-12.00
Plats: Universitetskajen (Nya universitetsbygget i hamnen, Kalmar)
Hus/sal: , Hus Vita, våning 2, sal Azur,
Adress/vägbeskrivning: Norra Kajplanen 6 se karta, Följ skylten mot Hus Vita genom en gång mitt i bygget som ligger på hamnsidan nära turistbyrån, gå sedan in genom entrén till plan 2.

Anmäl dig genom att skicka ett mejl till ehalsoinstitutet@lnu.se  (senast  10/4)
Forskningsseminariet går även att se på distans då det streamas live på https://lnu.se/mot-linneuniversitetet/aktuellt/nyheter/ehalsoinstitutet-live/

What all geeks in Växjö have been waiting for…🤪

On the 6th-7th of April, Open.Science.Hack will take place at Linnaeus University, Sweden, a 24h-hackathon promoting open source and open science.

The event is organized by different local IT networks, including the student organizations Kodkollektivet and SPIIK.com, the female network WiTech IT-network Sverige, the IT forum #vxodev, and researchers at Linnaeus University, Sweden, Open.Science.Hack will gather students, business professionals, and researchers passionate about IT. The event will be held in English and is free of charge.

#Openscience is a massive, global movement towards making scientific research available and accessible to everyone.

Registrations for Open.Science.Hack are OPEN!!! Register yourself for the Team Matching event on the 22nd of March:
https://opensciencehack.eventbrite.com

In case you want to attend Open.Science.Hack (6.-7.4.2019) but you can not make it to the Team Matching event, send the organization team (open.science.hack@gmail.com) a short profile about yourself and we will match you with a team.

**FIND YOUR TEAM!**
Every team in the hackathon should consist of at least one:
🎓 (PhD) student
💼 researcher/business professional
👩 woman

For updated information see the event on facebook.

The BAL-ADRIA* Summer School on Digital Humanities will be held in the period of 16 to 22 June 2019, in Zadar, Croatia (*Baltic-Adriatic). It is organized by Linnaeus University (LNU) and University of Zadar, in collaboration with DARIAH-EU, Uppsala University, and Data Intensive Sciences and Applications Centre of Excellence at LNU.

This instance of the summer school covers

• the theory of digital humanities research methods
• the practice of fundamentals of programming for digital humanities.

For more information and to register, please visit http://baladria.unizd.hr

Welcome!

Dags att skicka in din anmälan till en spännande doktorandkurs i sommar! Deadline 1/3 2019!

Den tvärvetenskapliga doktorandkursen ”Designing Human Technology”, DHT 7.0, om hur man designar teknik för (och med) människor, äger rum för sjunde året i rad, denna gång i Estland, med Tallinn University som värd, i samarbete med Roskilde Universitet (Danmark) och Trento University (Italien) samt med medverkande seniorforskare från Danmark, Sverige, Finland, Norge, Estland och Italien. Kursen hålls 16-18/6 på en ö i vid estniska västkusten i form av internat under 3 dagar, motsvarar 3,5 ECTS, och brukar vara mycket uppskattad av medverkande doktorander från olika delar av Europa. Ingen kursavgift, samt gratis mat och logi under de tre dagarna tack vare EU-finansiering. Resan till och från Tallinn måste doktoranderna dock hitta egen finansiering för.

Se mer information om kursen på http://dht2019.tlu.ee/

Data Science relies on the massive volumes of diverse data generated from all forms of human activity and interaction with the environment to make decisions and to solve problems. Traditional methods for managing and processing data have been scaled to address its growth, but new approaches are required to deal with these heterogeneous, high velocity, very large data sources of varying quality, coverage, and semantics. There are challenges at every stage. Addressing these challenges requires innovations in a wide range of computing sub-disciplines, from computer architecture to human computer interaction, and from data analytics to recommendations. ACM Transactions on Data Science (TDS) will serve as the premier forum for describing and advancing the state of the art on this important topic.

Scope

The scope of the TDS includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data science. Papers that address challenges at every stage, from acquisition on, through data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation while retaining privacy, fairness, provenance, transparency, and provision of social benefit, within the context of big data, fall within the scope of the journal.

The objective of the journal is to provide a forum for cross-cutting research results that contribute to data science. Papers that address core technologies without clear evidence that they propose multi/cross-disciplinary technologies and approaches designed for management and processing of large volumes of data, and for data-driven decision making will be out of scope of this journal.

Editor-in-Chief
Beng Chin Ooi, National University of Singapore

Senior Associate Editors
Mike Franklin, University of Chicago
H.V. Jagadish, University of Michigan
Hong Mei, Beijing Institute of Technology and Peking University
Renée J. Miller, University of Toronto
Jeannette M. Wing, Columbia University

For further information or to submit your manuscript.