During this course a secetion of existing literature on two central positions in philosophy of technology -- postphenomenology and critical theory / critical constructivism -- will be discussed and scutinized. Focus will be on how technologies inform our interpretation of the world, how technology nudge humans to do certain things, how technology is value-ladden and embedded in power structures and normative regimes, and how technologies might exclude vulnerable groups and individuals.

Course literature will include a double special issue of Techné entitled "Critical Constructivism and Postphenomenology: Ethics, Politics, and the Empirical" (vol 24, issue 1/2) plus selected case studies applying one of these two positions in an analysis of a technology. Everyone who studies technology, technological implementation and technological innovation in a socio-technical perspective will benefit from the course's thorough discussions and comparison of these two central positions in philosophy of technology, and is a must for ph.d. scholars who in their research touch upon how technologies inform our interpretation of the world, how technology nudge humans to do certain things, how technology is value-ladden and embedded in power structures and normative regimes, how technology excludes vulnerable groups and individuals. 


Description:

Organizer:       Tom Børsen 

Lecturers:         Tom Børsen & Lars Botin

ECTS:                2

Time:                7 - 8 December 2023

Place:

Zip code:

City:

Number of seats:       15

Deadline:        16 November 2023

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Prior to the course al participants are requested to conduct the following: 


1. Install EnergyPLAN from energyplan.eu

2. Consider how you wish to use EnergyPLAN – preferably in your Ph.D. project – alternatively in independent analyses only
    made for the Ph.D. course (notice that agenda for the first morning – third bullet-point)

3. Read the FIDE guide (Finding and inputting data to EnergyPLAN) from energyplan.eu and consider what data you will
    need to do 2.

4. There are a number of training exercises at energyplan.eu You are strongly encouraged /expected to do these beforehand
    as this will enable you to make more advanced independent analyses during the actual course

5. Read the articles


Organizer:        Henrik Lund

Lecturers:          Poul Alberg Østergaard , Henrik Lund, Jakob Zinck Thellufsen & Brian Vad Mathiesen

ECTS:                 5

Time:                 24 - 27 April 2023

Place:

Zip code:

City:

Number of seats:    30

Deadline:          3 April 2023

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


The course aims at building and strengthening competences in applied circular economy. The course targets the development of advanced skills in this domain by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection. The course applies a hybrid (online + physical) and flipped classroom approach where materials (readings, videos) are provided to the students in advance and the time spent in classroom/video meeting is used for Q&A, hands-on exercises, discussions. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops. The target audience of the course is primarily academics (PhDs, postdoc, other) and then professionals who intend to bring their competences in circular economy to an advanced level. The course include both theory and practice with group work on a specific case study. Working under the supervision of the course teachers during the physical summer school days in Aalborg, as well as working independently and remotely before and after the course, students apply the exercises provided in the theory modules to a specific case study chosen within the group, and then collect all the results in a portfolio.

Module 1. Circular economy, from theory to practice

In this first module students are presented to the different theoretical approaches to circular economy as well as to their respective critiques. The focus will be on discussions on narrowing, slowing and reducing resource flows, especially focusing on the inner circles of circular economy. We also address how the potentials for circular improvements are identified. The case of digitalization and role of ICT in circular economy is presented with extant cases on ICT for waste reduction, as Product service systems, social media to enable circularity. The module includes group-exercises where theories of circular economy are applied to the analysis of a case study.

Module 2. Circular business models and strategies

The hands-on module explores the diversity in circular business models, especially with focus on the inner circles. The relevance of including new types of actors in these business models is discussed and various real-world case studies are presented to the students. Moreover, generic principles and strategies are introduced that can be applied in the design and innovation process to ensure more circular outcomes, i.e. for narrowing, slowing and closing the use of resources. The module includes group-exercises where a circular business strategy is designed for a specific case study.

Module 3. Life cycle assessment of circular business strategies

In this hands-on module students will learn how to use Life Cycle Assessment for the development and evaluation of circular economy strategies. The module covers theoretical basis of LCA, from life cycle thinking to computational structure of LCA, to practical elements such as use of LCA software, interpretation, use of results in the development of life cycle management strategiesand communication of results. The module introduces to using LCA as a starting point for creating more circular products value propositions and their influence on relations to suppliers and users. The module includes group-exercises where LCA is applied to evaluate a circular strategy for a specific case study.

Prices

Attendee / Price*

PhD students affiliated to a Danish University / Free

PhD students affiliated to Maastricht University, TU Brandenburg, TU Delft / 2.250 DKK (300 EUR)

Other PhD students / 4.500 DKK (600 EUR)

Academics (e.g. postdoc and professors) / 9.000 DKK (1200 EUR)

Professionals (consultancy, industry, etc.) / 18.000 DKK (2400 EUR)

* Prices do not cover meals or accommodation

Organizers

The course is organized by The TECH faculty and the TECH Centre for Circular Economy (TECH4CE) as, well as the Technical Doctoral School of IT and Design, Aalborg University.

TECH4CE guest Prof. Nancy.Bocken (Maastricht Univ.), Melanie Jaeger-Erben (TU Brandenburg), Ruth Mugge (TU Delft) TECH4E members Assoc. Prof. Mette Alberg Mosgaard, Assoc. Prof. Michael Søgaard Jørgensen, Prof. Massimo Pizzol, Assoc. Prof. Louise Møller Haase, Assoc. Prof. Reza Tadayoni, Assoc. Prof. Bent Thomsen Assoc. Prof. Monia Niero + others from TECH… 

Registration and info

Please apply by filling this google form https://forms.gle/yHyaTnSBZcbVjtar7  

For informatin, please mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk).

ECTS Distribution

The five ECTS credits of the course are divided roughly in this way:

 

Activity / Hours / ECTS

Lectures and group work in class  / 50  / 1.8

Readings  / 35  / 1.3

Group work prior to course / 20  / 0.7

Group work after course / 35  /1.3

Total  / 140 / 5.0

*One ECTS credit is equivalent to 28 hours of work

Activities: Includes attending to the lectures and performing exercises in class.

Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus tutorials and videos.

Group work: students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study.

EXAMPLE, a group works on a case study of applied circular economy a product and does:

-           prior to the course: description of case study, getting base knowledge and data to describe the product, service, or system under analysis.

-           during the course (exercises in class): applying methods and tools presented, for example developing a circular business strategy relevant for the case.

-           after the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study.

 

At the end of the course all portfolios are made available. Each student will thus get the info on five different cases. Students should be able to organize themselves using online tools for video calls and file sharing to collaborate in group remotely prior and after the course.


ECTS:  5

DATES IN 2023 (attendance to 75% of online session and 100% of onsite session is required to be accepted to and pass the course)

Online sessions (CET)

8 May 10:00-12:00

16 May 10:00-12:00

23 May 10:00-12:00

25 May 10:00-12:00

30 May 10:00-12:00

1 June 10:00-12:00

Onsite sessions in Aalborg

13-14-15 September 

Number of seats: App. 25

Deadline: 

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.



The PhD course Python for Geospatial Analysis will provide an introduction to Python with a focus on mapping, exploring, processing, and analysing geospatial information using Python. Participants will learn how tasks traditionally conducted in a desktop GIS system can be easily transferred to Python code and therefore made faster, more flexible, and completely reproducible, which is an aspect of increasing importance in many research fields. At the end of this course, participants will have a solid understanding of the capabilities of core Python modules for geospatial information such as fiona, geopandas, pysal, or rasterio and be able to apply them in their own research.

This course will focus on geospatial analysis in “pure” Python, i.e., automation of tasks in ArcGIS or QGIS with Python is out of scope for this course. However, participants looking to do this should be sufficiently proficient in Python after this course to accomplish these tasks on their own.

Day 1: General introduction to Python, mapping and explorative analysis of geographic information

Day 2: The Python stack for geospatial analysis

Day 3: Using geospatial web services from Python


Organizer:        

Lecturers:          Jamal Jokar Arsanjani, Carsten Kessler, Marina Georgati

ECTS:                3

Time:              24 April – room 2.3.044
                        25 April – 2.1.042

                        26 April – 0.001A

Zip code:

City:

Number of seats:     20

Deadline:         3 April 2023

Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


The course intends to support participants in developing interdisciplinary inquiry skills by analysing the needs for mixed-method research and designing mixed-method research using diverse strategies. A problem and project-based learning approach is adopted in this course, involving participants working in groups on real-life issues identified on their own. The team-based project work is throughout the course which will lead to an outcome/product of a collectively written research proposal to be submitted. During the course, a panel discussion is organised inviting multiple scholars within AAU and internationally to discuss mixed-method design from diverse angels. Course assessment includes a collaboratively written mixed methods research proposal two weeks after the course (3-5 pages). The research proposal shall employ a design involving minimal two phases sequentially. The design shall preferably illustrate the use of a theoretical lens, such as the complexity theory, a feminist perspective, etc. The design may give priority to either qualitative data or quantitative data collection and include certain considerations on prospective data analysis. A template is provided for inspiration.  

Course activities: 

- Presentations by course organisers,

- Pre-course reading,

- A panel discussion is organised inviting multiple scholars within AAU and internationally to discuss mixed-method design from diverse angels

- Progressive group work activities during the course including reviewing published works and working on one's own research design which shall be submitted as an outcome (research proposal)


Organizer:  Xiangyun Du

Lecturers:  In collaboration with a group of colleagues in PLAN   

ECTS:  3

Time:  27-29 September 2023

Place:  Rendsburggade 14, 9000 Aalborg

Room:
  (will be provided)

Number of seats:  25 

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.



The course aims at strengthening skills in life cycle inventory analysis. The course targets the development of advanced competences in LCA by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection. We also apply a hybrid (online + physical) and flipped classroom approach where materials (readings, videos) are provided to the students in advance and the time spent in classroom/videomeeting is used for Q&A, hands-on exercises, discussions. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops. The target audience of the course is academics (PhDs, postdoc, other) or professionals who already have basic experience with LCA and intend to bring their LCA competences to an advanced level. Basic experience means for example having carried out simple LCAs before or having elementary knowledge of LCA theory. The course content is organized in three modules.

 

Module 1. Consequential LCA

Students will learn the fundamentals of Consequential LCA. Topics covered: Introduction to attributional and consequential models. Algorithms for performing consequential LCA in the definition of functional unit, consumption mix, and identification of determining and dependent coproducts. Communicating consequential models. The module includes exercises.

 

Module 2. Stochastic LCA

In this hands-on module students will learn how to use the software Brightway2 for stochastic and other LCA simulations. Topics covered: Computational structure of LCA. Computer simulation and statistical approaches for uncertainty and sensitivity analysis in LCA. LCA reproducibility and data sharing. The module includes exercises.

 

Module 3. Input output LCA

Students will learn the fundamentals of Input-Output modelling. Topics covered: supply-use tables, multi-regional models and trade linking. Integrating process LCA and IO-analysis via hybrid LCA, tiered and embedded. The module includes exercises.

 

Prices:

Attendee / Price*

PhD students affiliated to a Danish University / Free

PhD students not affiliated to a Danish University      / 4.500 DKK (600 EUR) Academics (e.g. postdoc and professors) / 9.000 DKK (1200 EUR) Professionals (consultancy, industry, etc.) / 18.000 DKK (2400 EUR)

* Prices do not cover meals or accommodation

 

Organizers:

The course is organized by The Technical Doctoral School of IT and Design, Aalborg University and Danish Centre for Environmental Assessment (DCEA) www.DCEA.dk, in collaboration with the International Life Cycle Academy (ILCA) www.ILCA.es

 

Lecturers:

Massimo Pizzol, Professor, Jannick Schmidt, Professor Søren Løkke, Associate professor Agneta Ghose, Postdoc

 

Registration and info:

Please apply via mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk). You must provide the following information in the email: Full name / Profession (PhD student, postdoc, consultant…) / Institution name / Address / email address / Phone nr / your research field or Phd topic / your experience with LCA

 

 

ECTS Distribution

The five ECTS credits of the course are divided roughly in this way:

 

Activity Hours     ECTS

Lectures and group work in class 50 1.8 Readings 35 1.3

Group work prior to course      20 0.7 Group work after course 35 1.3

Total      140 5.0

*One ECTS credit is equivalent to 28 hours of work

 

Activities: Includes attending to the lectures and performing exercises in class.

 

Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus python tutorials and videos.

 

Group work: students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study.

EXAMPLE, a group works on an LCA of a product and does:

-            prior to the course: choice of product and data mining, getting base knowledge and data to describe the product system.

-            during the course (exercises in class): consequential inventory with matrix format, IO LCA inventory, inclusion of iLUC, inclusion of social impacts, etc.

-            after the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study.

Eventually, all portfolios are made available. Each student will thus get the info on five different cases. Students should be able to organize themselves using online tools (skype, dropbox etc) to collaborate in group remotely prior and after the course.


ECTS:        5

Time:       6 days online during April 2023 plus 3 days physically in Aalborg in Mid-May 2023
   

Place:      

Zip code:

City:

Number of seats:    30

Deadline: