Third Training Event 2021

A. The challenge of interpretation: Deep-dive into science practices.

B. Communicating and valorising science: Making science work!

06/09/2021 – 14/09/2021

This third training event is about Interpretation of environmental data, about processing, dissemination and communication of research results. The focus will be strongly applied, modules on internet of Things, on machine learning, on smart-cloud management and on the future of ecosystem science in a world of artificial intelligence.

This training consists of 4 modules:

Module 1 on responsible research and innovation and the move towards “big data” research. Introduction to (a) the social study of processes of knowledge production, with a particular emphasis on recent changes related to datafication and machine learning, (b) policy debates and principles of Responsible Research and Innovation (RRI). Apply RRI principles to own practice and to potential applications of machine learning in ecosystem science.
Module 2: On the challenges and opportunities of Internet of Things: applications for smart digital farming, including the use of sensors, big data and smart algorithms and the possibilities of the Internet of Things.
Module 3: Data interpretation and Data Visualisation and Efficient Database usage
Module 4: Communicating science: Pitching you research

Overview of the training

Monday 06 September 2021
Timing	Title	Name instructor
9 – 12 13 – 16	Module 1: Internet of Things: Challenges and opportunities · Part 1: IoT Product Management: Intro · Part 2: IoT Product Management: The user	Maarten Weyn, imec
Tuesday 07 September 2021
Timing	Title	Name instructor
9-12 13-16	Module 1: Internet of Things: Challenges and opportunities · Part 3: IoT Product Management: Data, technology and communication · Part 4: IoT Product Management: System design	Maarten Weyn, imec

Wednesday 08 September 2021

Timing

Title

Name instructor

9-11

11-12

13-18

Module 2: Data Visualisation and Efficient Database usage

· Part 1: Overview of the Microsoft Azure platform and its applicability to data analysis and visualisation. Given by a senior Azure expert

· Part 2: Introduction of the Future Arctic database, which contains all experimental data and live sensor data. Given by Yorick De Bock, senior researcher at IDLab, imec- UAntwerp

· Part 3: Hands-on session on visualising and analysing your own FutureArctic data. Yorick De Bock and Steven Latre IDLab, imec-UAntwerp.

Ahmed Assem, Azure Expert, Microsoft

Yorick De Bock, imec

Thursday 09 September 2021
Timing	Title	Name instructor
	Module 3: Science communication: Pitching your research
9 – 11	Part 2: The online workshop.	Toon Verlinden,
11 – 13	Pitch herwerken	The Floor is Yours
13- 17	Part 3: Feedback sessions.
17-18	How to make a pitch movie	Kurt Kerkhofs, UA
	(part 4 and 5 follow after the workshop)

Monday 13 September 2021
Timing	Title	Name instructor
9 – 12 13 – 17	Module 4: Responsible research at the interface of science and society · Part 1: What are the different dimensions of good scientific practice in the fields relevant to the ITN? What values matter in the respective research? How is quality defined and assured? · Part 2: Reflections on the relation of (their) research to wider societal concerns; this includes discussion on the relation of environmental knowledge and policy making, on questions of scientific expertise and on science communication..	Ulrike Felt, University of Vienna Ulrike Felt, University of Vienna
Tuesday 14 September 2021
Timing	Title	Name instructor
9 – 12	Module 4: Responsible research at the interface of science and society Part 3: Between the lab, the field and data sciences – What changes in the way of producing knowledge when we turn to data sciences? .	Ulrike Felt, University of Vienna

This project has received funding from the European Union's Horizon 2020 framework programme for research and innovation under grant agreement No 813114.