SIG Data and Automation event

Program

10:00    Introduction / Esben N. Flindt, SDU

10:05    Why digitalisation? / John Westensee, AU

10:15    Examples of digitalisation – Session A

• PURE data via Dashboard /Marianne Gauffriau, ITU & Henrik Engell-Hedager, CBS
• Process automation /Arne N. Skov, AU

11:00    Break (15 min)

11:15    Examples of digitalisation – Session B

• The DTU-Watson project /Michael Thumand, DTU
• SDU Funding Apps /Maeva Vignes, SDU

12:00    Defining SIG focus and activities (25 min, All participants)

Input for and discussion of SIG areas and activities

12:25    Conclusions and actions (5 min)

12:30    Lunch (30 min)

13:00   Identifying research supporting the United Nations Sustainable Development Goals / Yury Kashnitsky, Principal Machine Learning Scientist, Elsevier

13:30  Networking and discussion among the physical participants / In addition to the presenters, a range of other data & automation experts will be present (see below)

14:00    Goodbye

Description of sessions

PURE data via Dashboard

Presentation of how data from the PURE modules Applications and Awards and from other sources is displayed in a Qlik dashboard. The dashboard has become a valuable tool for ITU’s research support team. It gives the team an overview of applications and grants, and statistics can be extracted for internal presentations. Henrik Engell-Hedager (former ITU, now CBS) gives and overview of the creation and initial use of the dashboard. Marianne Gauffriau (former Royal Danish Library, now ITU) provides insights into how a new staff member can benefit from and develop the dashboard.

Process automation

Presentation of the digital archive which uses RPA for documentation of expenses related to EU-grants. We will show how we have organised the archives and how we use basic information from our finance systems and add necessary documentation. We will show how we use RPA to segment our control according to funding type, in order to provide better documentation for cost statement. This gives us a better quality of finance transactions which in the end makes reporting easier.

The DTU-Watson project

The DTU-Watson was a project aimed at utilizing machine learning in a computer system to assist lawyers in contract negotiations, in particular contracts with multiple parties. The project showed that machine learning has many potentials, but it also gave an insight into the complexity of creating such system, which ultimately resulted in the project being closed down. The presentation will cover potentials of machine learning in contract negotiations, but the main focus will be the difficulties in executing and completing the project.

Funding Apps

Did you ever struggle with finding the right calls for research topics? Do you struggle to get an overview of EU funded research? Is it sometimes difficult to find partners and build a winning consortium? To help researchers and research managers in these tasks, SDU RIO has developed a series of tailor-made web apps that draws on research publication and funding data to fasten some tedious tasks, facilitate the collaboration between researchers and research supporters, and ultimately increase applications competitiveness. In our presentation, we will present our general approach and show to the audience how the web apps work. We will also give concrete examples of how the web apps are used at SDU during the pre-award cycle.

Smart methodology for mapping SDG contribution in research articles 

The United Nations (UN) Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Recognizing that research plays a fundamental part in supporting these goals, attempts have been made to classify research publications according to their relevance in supporting each of the UN’s SDGs. In this talk, we describe Elsevier’s collaboration with the University of Southern Denmark and other universities on the development of the SDG mapping methodology that recognizes the contribution to achieving SDGs outlined in research articles. The methodology is adopted by Times Higher Education in their Social Impact rankings.

 

Networking and competences

Apart from the presenters, additional personal with broad digitalisation interests and competences will be present to increase the networking potential during the event. For example, personnel with the following areas of interest will be present:

• Robotic Process Automation
• CRM-systems
• Systems integration
• Bibliometrics
• Advanced use of Excel
• FileMaker-server case handling
• PowerBI

If you want to highlight other competences being present from your organizations, please inform enf@sdu.dk and the info will be shared via DARMA’s communication channel

Practical information

Date: Wednesday 25/10 from 10-14 (Online participation will be possible from 10-12:30).

Where: The University of Southern Denmark in Odense.
Address: Sky conference room, Campus Kollegiet, Campusvej 1, 5230 Odense M

Getting there by train and tram

Trams to the University of Southern Denmark are available from the central train station. Get off at the stop ‘Videnbyen’ and look for the tallest building within 150 m – this is Campus Kollegiet.

Parking

Campus Kollegiet is marked with the green square on the map below. You may find available parking space here, but you will need a parking permit in order not to get a fine (the probability is 100% if you don’t have a permit). Permits can be obtained at the information desk at the ground floor inside the building. However, it is recommended to park at the area in the lower right of the picture, marked by a red square. Enter via Moseskovvej and turn left just before the parking area.

Finding the conference, once you are there

The conference room is located at the 14^th floor. You will need a code for the elevator, which will be shared will all participants attending physically. Use the elevator and enter the code using the standard number display, then the buttons used for selecting the floor.