General

Keynote: Machine Learning for better entertainment recommendations: A Nordic perspective

Friday, November 22nd, 2019

During this years Big Data Conference at Linnaeus University on December 5-6 2019 we have several very interesting Keynote speakers, one of them is Antonina Danylenko, Head of Applied Machine Learning at The Nordic Entertainment Group who offers video-on-demand streaming, linear TV channels and radio broadcasting – probably best known for their Viaplay, Viafree & Viasat platforms.

She will talk about how the entertainment industry is transforming at a rapid rate. This is driven by new trends, growing customer expectations and AI technologies allowing for more innovation, disruption and opportunities for growth. At the same time, the industry is getting increasingly crowded – as the use of streaming services is on the rise, and the Nordic region spends more time online than ever before. Nearly four out of ten people watch video content on a daily basis, with three-quarters of the 16-24 year-old age bracket streaming that content from subscription-based services. We are seeing a new phenomenon emerge known as ‘stacking’ behaviour – where households typically subscribe to more than one service, just to keep their options open when it comes to deciding what to watch. With so many options out there, people can be paralysed by what’s known as the ‘paradox of choice.’ Personalising every aspect of the customer journey has become our main focus in the recommendation space, as consumers of entertainment have never been more spoilt for choice. Serving up relevant content recommendations at the right time is key to making the decision process as easy as possible. However, building and maintaining the lifecycle of recommender systems to capture customers’ behavior and use different algorithms to guide them towards something they will enjoy watching is not easy. In this presentation, I will outline the end-to-end process of building a recommender system utilising Big Data and Machine Learning to address this challenge.”

Don’t miss out on the opportunity to listen to him and take part of the conference by signing up here by November 25th.

More about Antonina Danylenko who holds a PhD in Computer Science from Linnaeus University, Sweden where she wrote a dissertation on the topic of “Decision Algebra: A General Approach to Learning and Using Classifiers”. After several years working at IKEA within Solution Architecture and Data Science domains , she joined the Nordic Entertainment Group—where she is now the Head of Applied Machine Learning. The Nordic Entertainment Group offers video-on-demand streaming, linear TV channels and radio broadcasting – probably best known for their Viaplay, Viafree & Viasat platforms. They’re responsible for connecting over 1.4 million subscribers to the content they love, with more than 1900 employees across the Nordics and the UK.

Keynote: Open Science with the European Open Science Cloud

Wednesday, November 20th, 2019

During this years Big Data Conference at Linnaeus University on December 5-6 2019 we have several very interesting Keynote speakers, one of them is Gergely Sipos works as Customer and Technical Outreach Manager for the EGI Foundation. He will give a talk about Open Science with the European Open Science Cloud.

Don’t miss out on the opportunity to listen to him and take part of the conference by signing up here by November 25th.

In recent years, the vision of Open Science has emerged as a new paradigm for transparent, data-driven science capable of accelerating competitiveness and innovation. The embodiment of this vision in Europe is the European Open Science Cloud (EOSC). This presentation will introduce the EOSC initiative, its current implementation from the EOSC-hub and other projects, and will show
how EOSC can already facilitate Open Science. EOSC-hub is a 33 million Euro project that started in January 2018 with the involvement of over 100 institutes. EOSC-hub defines, creates and operates the integration and management system of the EOSC. This integration and management system (the Hub) builds on mature processes, policies and tools from the leading European e-infrastructures to cover the whole life-cycle of services from planning to delivery. Through this management system online and ‘human’ services, software and data are delivered towards researchers via the EOSC Portal and its Markerplace. The Portal already includes over 100 services from 3 e-infrastructure communities (EGI, EUDAT, INDIGO-DataCloud), and from over 20 Research Infrastructures and scientific service providers. The catalogue of services is expected to radically grow in the next years. The Hub acts as a single contact point for researchers and innovators to discover, access, use and reuse a broad spectrum of services starting from baseline infrastructure services (such as HTC clusters, IaaS clouds, storage, security) to domain specific applications, datasets and portals.

You can also meet Gergely Sipos during the tutorial session about Open Science with Jupyter, Zenodo and Binder on December 4th.

More information about Gergely Sipos he coordinates EGI’s engagement programme and supports researcher communities and educators from academia and industry in tackling big-data and big-compute challenges using state of the art services from the EGI community. Gergely holds an MSc and a PhD in computer science and project management from the University of Miskolc, Hungary. He became involved in grid computing in 2002 and researched high-level user environments and collaborative design tools. Prior to EGI, Gergely worked in training, consultancy and user support for the EGEE project from his base in Budapest, where he promoted grid technology and distributed computing practices to scientific communities.

12/9: Cory Robinson, “Dr. Google is ready to see you: Privacy dilemmas arising from co-owned personal health data”

Thursday, August 15th, 2019

Welcome to the research seminar Dr. Google is ready to see you: Privacy dilemmas arising from co-owned personal health data” 

Heart rate, sleep patterns, and location information: Citizens share their personal data daily through social media and connected devices. Citizens and patients do not clearly know who owns, utilizes or shares their personal data, says Cory Robinson, a social science researcher.
This seminar is held in English!

  • When? Thursday September 12  14:30 – 16.00
  • Where? House Magna, Room Porfyr_Ma1065K, Universitetskajen (the new university buildings by the harbour, Kalmar)
  • Find your way: Norra Kajplanen 6 see karta
  • Register by sending an email to ehalsoinstitutet@lnu.se  (No later than Tuesday September 10th)

The research seminar will also be live streamed so that you can follow from a distance via eHälsoinstitutets website https://lnu.se/ehalsoinstitutet/

This seminar is a part of the research seminar series eHealth (for more information about the full program see https://lnu.se/ehalsoinstitutet/) hosted by eHälsoinstitutet, plattform eHealth and DISA eHealth bjuder in fall 2019.

Forskningsseminarium: Han vill använda AI för effektivare psykologisk behandling mot psykisk ohälsa

Wednesday, March 27th, 2019

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/

Open Science Hackathon April 6-7

Tuesday, March 5th, 2019

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, SwedenOpen.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.

BAL-ADRIA Summer School on Digital Humanities, 16-22 June 2019, Zadar, Croatia

Monday, March 4th, 2019

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!

Doktorandkurs i sommar – Designing Human Technology

Thursday, February 28th, 2019

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/

PhD course: eHealth – improved data to and from patients, 3 credits

Wednesday, January 2nd, 2019

In April 2019 we will give a new course for PhD-students in eHealth. The course will give an introduction to eHealth and health informatics including benefits and challenges with eHealth, examples of applications in use, register based epidemiology, decision support systems, overview and examples of research within the interdisciplinary field of health informatics.

Teaching in this course will be lectures online (via mymoodle) as well as 2 seminars where students will present and discuss papers from this field of research.

This course will be given in collaboration with  the eHealth Institute. We welcome PhD-students from DISA as well as other PhD-students at Linnaeus University who are interested in eHealth and health informatics.

  • Pace: Half time, distance learning with approximately 2 meetings on campus in Kalmar
  • Language: English
  • When: April 2019 (preliminary 1/4 – 28/4)
  • Contact: If you are interested in this course, please send an e-mail to Tora Hammar, tora.hammar@lnu.se

The eHealth Institute, Department of medicine and optometry, Linnaeus University will be responsible for the course.

//Diana

Call for papers: ACM Transactions on Data Science

Monday, November 19th, 2018

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.