DISA

Centre for Data Intensive Sciences and Applications

DISA Seminar April 4th Marie Skłodowska Curie postdoctoral fellowships (MSCA-PF)

2022-03-10

  • When? April 4th, 2022 12-13
  • Where? Online, you will get a link to the event when you have registered
  • Registration: https://forms.gle/M88bznTfa8CYDjjY7

DISA welcomes you to an information seminar focused on information and advice on how to develop a competitive proposal in the upcoming call for Marie Skłodowska Curie postdoctoral fellowships (MSCA-PF). The seminar will include presentations illustrating four relevant perspectives – key information, evaluation of proposals, hosting an MSCA-PF fellow and being an MSCA-PF fellow. As a fellow you apply for the fellowship with a PI, and as a PI you apply for the fellowship with an identified fellow. The seminar will provide researchers interested in becoming a supervisor for a MSCA PF with information on the fellowship programme, the requirements of a supervisor, practical information, and insights on how to write a competitive proposal from the supervisor’s perspective.

The MSCA PF tool is an outstanding prospect to expand your research group by an extremely skilled and funded postdoctoral researcher for two years while adding complementary skills and competencies to your group.

Speakers:

From the programme:

  • What is MSCA Postdoctoral Fellowships?
  • Proposal writing process
  • What is required from you as a Supervisor? The MSCA Guidelines on Supervision.
  • LNU as a host institution
  • Yes, I want to be a MSCA supervisor. What do I do now?
  • Experiences from a LNU MSCA PF Supervisor
  • Q&A

About MSCA PF

The objective of the Horizon Europe MSCA-PFs is to support researchers’ careers and foster excellence in research. The Postdoctoral Fellowship’s action targets researchers holding a PhD who wish to carry out their research activities abroad, acquire new skills and develop their careers. PF grants help researchers gain experience in other countries, disciplines and non-academic sectors. The grant usually covers two years’ salary, a mobility allowance, research costs and overheads for the host institution. Applications should be co-written by the researcher and the host organization. MSCA PF is open to all scientific disciplines.

Visit the European Commission’s website for additional information.

 

Webinar on Linked Open Data in Cultural Heritage

2022-02-15

Welcome to the webinar titled: Semantic metadata enrichment and data augmentation of small museum collections following the FAIR principles

Abstract: The lecture will present the benefits and challenges of making the cultural heritage data of small regional museums findable, accessible, interoperable and reusable (FAIR). Using the Archaeological Museum of Tripoli, Greece, as a case study, it demonstrates how the employment of semantic methods, such as semantic enrichment and linking to Linked Data resources, and semantic technologies, such as the CIDOC-Conceptual Reference Model (CRM) and other standard ontologies, can help alleviate some of these challenges and help small museums make their data FAIR. It also discusses how a semantics-based approach can facilitate collaboration between Digital Humanities and Information Studies researchers, and cultural heritage institutions, by providing a common means of communication that means cultural heritage data can be reused, repurposed, and redeployed efficiently.

Welcome!

 

KvarkenSat Innovation Challenge 2022 on Sustainable Forestry

2022-02-10

The DISA forestry group invites you to KvarkenSat Innovation Challenge 2022 on Sustainable Forestry that will start in next week with a pre-hackathon followed by the hackathon using space-based data helping to combat climate change!

Acceptance based on submission, the best submissions may be approved early.

The challenges

Climate change brings about major changes affecting us all. Extreme weather events become more frequent and especially the amount of rainfall increases in Northern Europe, one contributor being the warmer winters. New species of both vegetation and animals enter new areas while the existing species might have even major changes in their habitats. These lead to new challenges in the forestry industry. We are looking for ideas and solutions combining existing knowledge and datasets with space-based data and datasets based on satellite measurements, in four particular themes including soil moisture, spruce bark beetles, forest ground damage and the forest value chain.

Who can apply?

The hackathon is open to students, teachers, researchers and start-ups in teams of 3-5 persons. Relevant expertise to participate include: space and satellite data, machine learning and neural networks, computer science, positioning systems, automation, image processing/recognition, engineering, logistics, business/communications and forestry.

Awards

The three best proposals across all of the themes will be awarded a cash prize (over 100 000SEK) and possible continuation/acceleration within start-ups and innovation programs.

Pre-Hack Webinar

To get familiar with the hackathon, meet the mentors and partners, and participate in Q&A-session join our webinar on 15 February at 13.00 (14.00 Finnish time).

Link to the join the webinar: https://bit.ly/KvarkenSatWebinar

More information about the hackathon: https://ultrahack.org/kvarkensat-innovation-challenge-2022

Baltic-Adriatic Summer School on Digital Humanities

2022-01-25

  • When: 13 – 17 June 2022
  • Where: Zadar, Croatia
  • Language: English
  • Duration: 5 days

We are happy to announce the BAL-ADRIA Summer School on Digital Humanities 2022!

BAL-ADRIA is a collaboration between countries surrounding the Baltic Sea, and countries surrounding the Adriatic Sea, thus connecting Northern and Southern Europe. In a supportive academic environment, we are offering good-sized classes ideal for learning, discussing and getting feedbacks on your ideas and thoughts. This year’s Programme is taught by an international team of researchers and practitioners of digital humanities and social sciences and is delivered in a form of lectures, seminars and practical workshops. Two topics will be covered, equalling together:

  • Digital humanities research tools
  • Fundamentals of programming for digital humanities

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

DISA-DH researchers granted external infrastructure funding

2021-12-15

Professor Mikko Laitinen from DISA is one the principal investigators of a national consortium for digital humanities that was awarded research funding for building and upgrading of national and international research infrastructures in Finland.

Academy of Finland last week granted nearly 36 million euros between 15 research infrastructures. Laitinen is a member of FIN-CLARIAH, which is a national research infrastructure for digital and computational social sciences and the humanities, comprising two components: the first supports research based on various language resources, and the other one develops digital infrastructure tools and solutions for large and heterogeneous datasets for the humanities and social sciences. Laitinen points out that the connections and especially the interdisciplinary research on social media that was carried out in the first DISA period were integral in becoming part of this national consortium.

For more information, please contact mikko.laitinen@lnu.se

DISA Lunch seminar – Industry – Novotek

2021-11-30

Welcome to a DISA Industry Seminar with Novotek. There is a genuine interest to find research collaboration related to water and wastewater management together with them and Kalmar Vatten.

  • When? December 9th 12-13
  • Where? Online – you will get a link when you register
  • Registration? https://forms.gle/FUtjyV4H7kYRcegB6

During the seminar you will meet Thomas Lundqvist

In Swedish water and wastewater management, there are great opportunities to create large savings and environmental benefits by starting to work systematically with advanced data analysis, which is often called “analytics” or “machine learning”. Examples of areas where this methodology has great potential are:

  • Leak detection and leak detection in water and sewage systems.
  • Reduction of chemical consumption in the water purification process
  • Improving water quality
  • Reduction of energy consumption
  • Improved control of flue gas production which leads to increased process yield. Simply more biogas from the same amount of feedstock.

Although the analysis technique has been known for a long time, there are some challenges when starting to work with this in, for example, a municipal treatment plant. It requires a certain type of competence that is usually not available in a simple way. Advanced software is also required for this purpose. Once you have acquired the skills and tools, you come to the problem that is usually even more difficult to solve. There is a lack of sufficient data. This may be because:

  • You do not have enough sensors that measure relevant things.
  • The sensors are not connected and the data is not stored.
  • If sensor values ​​are stored, the measurements are usually truncated incorrectly to save storage space and cost.
  • Large amounts of redundant information are often stored completely unnecessarily.

If you were to solve all this, you still have a big challenge as you lack other similar facilities to compare your analyzes with. There is a great potential to be able to share data between several municipalities and waterworks to learn from others and to simply get a much larger data base for their analyzes.
Novotek, together with Linnaeus University and Kalmar Vatten, wants to start a collaboration with the aim of finding a long-term solution together to the challenges that all waterworks and treatment plants face when society places increased demands on water treatment and water production, now and in the future!

Come and discuss with us and see how we can solve these challenges together!

DISA Seminar December 6th: Machine Learning for Astroparticle Physics

2021-11-22

Astroparticle physics is a sub-branch of Physics dealing with the detection of gamma-rays, neutrinos, gravitational waves and cosmic rays from the Universe. In this seminar, we will focus on the field of extragalactic gamma-ray astronomy.

The two main types of datasets in the field are those produced via simulations and those acquired via detector equipments (“real”), leading to a large amount of data to be calibrated, prepared, filtered, reconstructed and analysed. Simulations are especially needed in order to understand the sensitivity of the given equipment to a given searched physics “signal” and to prepare the data analysis procedure before looking at the real data. Decades of experience in data analysis in the field lead to the ability to publish solid results.

In this context, machine learning is giving a big boost in speeding up the data analysis procedures. The first successful applications of supervised Machine Learning in the field date back to the years 2010-2013 and concern classification and regression methods. Nowadays, there is a huge effort to exploit Deep Learning methods to achieve faster simulations and to improve the current data analysis methods, where physicists cannot “see” or “predict” any significant features describing the datasets.

I will present the current activities and future challenges of my research groups at Linnaeus University and at the University of Paris and, more generally, the challenges of the field.

Keywords: gamma-ray astronomy, supervised machine learning, event classification, feature regression

Papers:

  1. Y. Becherini et al., 2011 (Astrop. Phys., Vol 34, 12, 2011, 858-870)
  2. Y. Becherini et al., 2012 (Gamma 2012)
  3. Y. Becherini et al., 2012 (arXiv:1211.5997) 
  4. M. Senniappan et al
  5. T. Bylund et al., 

ICT with Industry workshop – Artificial Intelligence for Text Simplification (17-21 January 2022)

2021-10-20

Are you a young scientist with a background in ICT and do you have a creative and inquisitive mind? Do you like to think outside-the-box? Would you like to get into contact with industrial partners such as KB, RTL, Axini, SIG or Philips and solve a case together? Then apply for the “ICT with Industry 2022” Lorentz Workshop.

Every year, the Lorentz Center and NWO together organize an ICT with Industry workshop. During five days a group of about 50 researchers from IT and Computer Science from a wide range of universities (within the Netherlands and Europe) will work together extensively on challenging problems proposed by companies.

This year the KB has also provided a case: ARTificial Intelligence for Simplified Texts (ARTIST). During the ICT with Industry workshop we aim to explore the possibilities to make news articles, books and other publications more accessible to people with low literacy by applying AI techniques to automatically rewrite publications.

Links
– Register
– More info

Important dates:
– application deadline: 22 November 2021
– notification: early December 2021
– workshop: 17-21 January 2022

Background

In the Netherlands, about 2.5 million citizens between 16 and 65 years old find it hard to read. This means they face challenges to fully participate in today’s society. Recently we have seen this problem when people with low-level literacy received invitations for the COVID- 19 vaccines that were too complicated for them. But also understanding the news by reading news articles in the newspaper or websites can be difficult making it hard to understand current issues.

The KB, national library of the Netherlands, aims to make all publications available to all Dutch citizens, including people who have reading disabilities. In this use case we propose to explore the possibilities to make news articles, books and other publications more accessible to people with low literacy by applying AI techniques to automatically rewrite publications. In the Netherlands, several initiatives have been undertaken to manually make books or news articles more accessible. However, this is very labour intensive and only makes a small selection of publications available for illiterates. During the ICT with Industry workshop we aim to explore several methods to automatically rewrite news articles/book, making them available for all Dutch citizens.

DISA Seminar November 1st on Visualization Perspectives in Explainable AI

2021-10-14

  • When? November 1st, 2021 at 12-13
  • Where? Online, links will be sent to those registered
  • Registration via this link

This talk with Professor Andreas Kerren, will overview interactive data visualization research with a focus on the development and use of visualization techniques for explainable artificial intelligence. The field of Information Visualization (InfoVis) uses interactive visualization techniques to help people understand and analyze data. It centers on abstract data without spatial correspondences; that is, usually it is not possible to map this information directly to the physical world. This data is typically inherently discrete. The related field of Visual Analytics (VA) focuses on the analytical reasoning of typically large and complex (often heterogeneous) data sets and combines techniques from interactive visualizations with computational analysis methods. I will show how these two fields belong together and highlight their potential to efficiently analyze data and Machine Learning (ML) models with diverse applications in the context of data-intensive sciences. As ML models are considered as complex and their internal operations are mostly hidden in black boxes, it becomes difficult for model developers but also for analysts to assess and trust their results. Moreover, choosing appropriate ML algorithms or setting hyperparameters are further challenges where the human in the loop is necessary. I will exemplify solutions of some of these challenges with the help of a selection of visualization showcases recently developed by my research groups. These visual analytics examples range from the visual exploration of the most performant and most diverse models for the creation of stacking ensembles (i.e., multiple classifier systems) to ideas of making the black boxes of complex dimensionality reduction techniques more transparent in order to increase the trust into their results.

Did you miss it? If so you can watch it here: https://play.lnu.se/media/t/0_hghpwmkw

Keywords:
information visualization, visual analytics, explainable AI, interaction, machine learning models, trust, explorative analysis, dimensionality reduction, high-dimensional data analysis

Further reading:
https://doi.org/10.1109/TVCG.2020.3030352
https://doi.org/10.1111/cgf.14034
https://doi.org/10.1109/TVCG.2020.2986996
https://doi.org/10.1111/cgf.14300
https://doi.org/10.1109/CSCS52396.2021.00008
https://doi.org/10.1177%2F1473871620904671