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Title: Future oriented technology analysis
Short Code: EVA_FOTA
ECTS Credits: 3
Organizer Details: ZHAW Zurich University of Applied Sciences, School of Engineering Institute of Sustainable Development (INE), Winterthur, Switzerland

Oral assignment (presentation of FOTA) / evaluation sheet (30%)

Written assignment (group work report) / evaluation sheet (70%)

Decision Date: 16 September 2022 
Start Date: 23 September 2022 
End Date: 20 January 2023 
Date Details:

Each Workshop is on a Friday.

Workshop 1: date KW38, 09.00-16.00 hrs (Kick-off)

Workshop 2: date KW39, 08.00-17.00 hrs

Workshop 3: date KW45, 08.30-17.00 hrs

Workshop 4: date KW03, 09.00-17.00 hrs (Presentation Day)


Four full-day workshops (teaching, in-class activities and group work progress meetings; total 30 hours) separated by independent self-study immersion and small group work periods (total 60 hours).

In-class attendance is required and compulsory.


Teaching is generally in English.

Student presentations and group work reports may be given/submitted in English or German.

Description (max. 300 characters):

Future oriented technology analysis (FOTA) is vital for any forward and strategic planning or policy activity to be able to meet future challenges proactively in order to transform sociotechnical energy and transport systems. This module enhances FOTA by gathering anticipatory intelligence in a systematic way and linking it to today’s decision making, as well as by acquiring knowledge on conceptual, methodological and operational approaches to futures assessment.

Contents and Learning Objectives:


In this Module, the students will

  • gain competences in future oriented technology analysis, understanding the conceptual approach to futures research and how to design a foresight process and architecture
  • acquire insights into a range of creative futures research and foresight methods, such as Delphi expert survey, scenario development, and technology analysis
  • apply successful tools and software (e.g., LCA SimaPro) to deepen and experience the transferred knowledge in applied small group work


Workshop 1 : Future oriented concepts, foresight process design

Workshop 2 : Applied technology assessment (e.g. LCA); group work

Workshop 3 : Scenario development, analysis & roadmap; progress

Workshop 4 : Presentation of small group works, debriefing

Admission: Bachelor of Science (or equivalent), English language skills. This module will respect the competence level of the students in future oriented technology analysis.

Carabias-Hütter, V., Haegeman K. (2013). Future-Oriented Technology Analysis (FTA) to Support Decision-Making in Meeting Global Challenges. SAGUF Mitteilungen, GAIA 22/1: 57-59.

Cagnin, C. et al. (eds., 2008). Future-Oriented Technology Analysis. Berlin: Springer, 169p.

Decker, M. & Ladikas, M. (eds., 2004). Bridges between Science, Society and Policy: Technology Assessment Methods and Impacts. Berlin: Springer, 241p.

Hellweg S., Rubli S., N. von Götz (2016). Ökologische Systemanalyse Vorlesungsskript. [Aug. 2016].

Joss, S. & Bellucci, S. (eds., 2002). Participatory Technology Assessment: European Perspectives. London: Centre for the Study of Democracy.

World Energy Council (2013): Composing energy futures to 2050. [Aug. 2016]. [Aug. 2016] [Aug. 2016] [Aug. 2016]

Glenn & Gordon (2012). Futures Research Methodology Version 3.0. [Aug. 2016].

Further literature and websites will be indicated during the Module.


All Workshops are conducted at Technopark Winterthur. Weblink: (building MT).

The venue can easily be reached by public transport
(10 min on foot from Winterthur railway station).

Alternatively, it can also be hold in Zurich at Lagerstrasse.


Prof. Vicente Carabias,

Dr. Adrian Kammer,

Dr. Christian Zipper,

Contact Person E-Mail:
Status: registration open
Specialization: Business Engineering and Production (BEP)

Energy and Environment (EE)

Industrial Technologies (InT)

Information and Communication Technologies (ICT)

Civil Engineering & Building Technology (CEBT)

Geomatics (GEO)

Spatial Development & Landscape Architecture (SDLA)

Aviation (Avi)

Business Engineering (BE)

Building Technologies (BT)

Civil Engineering (CE)

Computer Science (CS)

Data Science (DS)

Electrical Engineering (ElE)

Energy & Environment (EnEn)

Geomatics (Geo)

Mechanical Engineering (ME)

Mechatronics & Automation (MA)

Medical Engineering (Med)

Photonics (Pho)

Raumentwicklung & Landschaftsarchitektur (ReLa)

[Responsible for this text: Carabias-Hütter Vicente]