Long-term potential of the Canton of Basel-Stadt to produce renewable energy and the reduce greenhouse gases

June 2009 until August 2010 (completed) Internal Project

Project Description

The project focuses on the model region of the Swiss Canton of Basel-Stadt. The region is fragmented into energetically homogeneous units in order to estimate the long-term energy demand, the capacity to produce renewable energies as well as the potential to reduce greenhouse gases. The results are also applied to the 2000-Watt Society, a sustainability concept developed in Switzerland.

Scientific, Economic and Societal Impact

1) Assessment and spatial mapping (GIS) of present and future energy demands
2) Assessment and spatial mapping (GIS) of the potential of renewable energy production
3) Assessment and spatial mapping (GIS) of the potential to reduce greenhouse gas emissions
4) Application of the model to the 2000-Watt-Society

Keywords

climate change energetic urban regeneration

Participating Institutions

Institute of Architecture and Planning / Partner seecon gmbh / Project Leader Fachhochschule Nordhausen / Partner

EKP Energie-Klima-Plan GmbH / Partner

Project Participants

Prof. Dr.-Ing. Dieter D. Genske

- Principal Investigator

Principal Investigator

Detection of security threats through NetFlow analysis

since September 2018 PhD-Thesis

Project Description

Michele's research deals with the detection of security threats through aggregate network information, specifically the Cisco's NetFlow format. The latter provides a summary of the communications in a network and helps to overcome the huge amount of processing power required by the application of deep packet inspection (DPI). Moreover, since NetFlow does not require the inspection of data content it is considered to be privacy friendly. On the other hand, moving from the packet granularity to the Netflow record one causes a consistent loss of information and renders the detection of cyber-attacks a challenge.

The research currently focuses on the detection of illegitimate cryptocurrency mining through malware infection. This type of attack has attracted threat actors' interest, becoming part of the top 10 most wanted malware in 2018. Even if the effects of malicious mining are not as disruptive as other threats such as ransomware, the cumulative effect of large-scale unauthorized cryptocurrency mining in an enterprise environment can be significant, as it consumes computational resources and forces business-critical assets to slow down or stop functioning effectively. These reasons, together with the current high interest in cryptocurrencies, are the main arguments motivating the investigation of new techniques for detecting illegitimate mining activities through network traffic analysis.

Keywords

NetFlow NIDS Cryptojacking

Project Participants

Prof. Dr. Pavel Laskov

- Supervisor

Professor - Data and Application Security Academic Director MSc IS - Liechtenstein Business School

Supervisor

Michele Russo

- PhD-Student

PhD-Student

Prof. Dr. Aikaterini Mitrokotsa

- Co-Supervisor

Co-Supervisor

Detection of security threats through NetFlow analysis

September 2018 (completed) Preproposal PhD-Thesis

Project Description

Keywords

NetFlow NIDS Cryptojacking

Project Participants

Michele Russo

- PhD-Student

PhD-Student

Prof. Dr. Pavel Laskov

- Supervisor

Professor - Data and Application Security Academic Director MSc IS - Liechtenstein Business School

Supervisor

Opportunity recognition and business ideation from a cognitive perspective

February 2015 (completed) Preproposal PhD-Thesis

Project Description

The recognition of entrepreneurial opportunities is impetus for any entrepreneurial action, and thus builds the basis for entrepreneurial success. In this context, entrepreneurial opportunities represent situations, where new means-ends frameworks, e.g. game-changing business models, can emerge (Eckhardt & Shane, 2003).

The research project deals with the question of how entrepreneurial opportunities are recognized and exploited by developing innovative business ideas and business models. In particular the aim is to clarify, how the "processes" of opportunity recognition and business ideation can be facilitated on an individual and organizational level.

It is postulated that the way of thinking is a pivotal aspect of opportunity recognition and business ideation. The theoretical foundation is rooted in two sub-disciplines of entrepreneurship research, "opportunity recognition" and "entrepreneurial cognition". Several cognitive explanation attempts have emerged, such as the entrepreneurial alertness schema (Gaglio & Katz, 2001) or the ability to recognize patterns (Baron, 2006).

The research project is built upon these findings and will examine which cognitive approaches are suitable to address the research problem by means of a mixed-methods research design.

Keywords

Business ideation Entrepreneurial opportunity Opportunity exploitation Business model innovation Opportunity recognition

Project Participants

Dr. rer. oec. Zorica Zagorac-Uremović MSc

- PhD-Student

PhD-Student

PD Dr. habil. Christian Marxt

- Supervisor

Supervisor

Publications

Zagorac-Uremovic, Z., & Marxt, C. (2017). Divergent and Convergent Thinking Patterns Across Different Entrepreneurial Opportunity Contexts. Paper presented at the ISPIM Innovation Conference 2017, Vienna, Austria.
More

Zagorac-Uremovic, Z., Palmer, C., & Marxt, C. (2017). The Joint of Effects of Divergent and Convergent Thinking on Entrepreneurial Opportunity Recognition: Findings from Exploratory Case Studies. Presented at the Australian Centre for Entrepreneurship and Research Exchange 2017, Melbourne, Australia.
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EQUAL-IST Gender Equality Plans for Information Sciences and Technology Research Institutions

January 2016 until January 2019 (completed) EU H2020-Funding Project

Project Description

Within the realm of the project, we will develop Gender Equality Plans (GEPs) for the participating IST institutions. Based on an initial review of existing literature and analysis of good practices across Europe, we will investigate the state of the art in terms of gender equality at the seven involved IST institutions located throughout Europe. In this way, we will get a profound understanding of their maturity levels in terms of gender equality and the requirements and means used to tackle gender-related issues. The GEPs will be based on these findings and will be tailored to fit the specific needs and the given environment of the institutions. It will be possible due to the participatory and co-design methodology and the use of a crowdsourcing online collaborative platform. The institutions will implement the GEPs in two stages, with the opportunity to refine the goals in the middle of the project run time. Implementation of GEPs will be assessed by external evaluators who are experienced in accompanying institutions during organisational change processes. The findings will be documented in an open platform and will be made accessible for any interested party, especially for other IST research institutions, as a collection of best practices. In this respect the EQUAL-IST project will not only boost gender equality at the involved RPOs but will seek to influence a bigger number of IST research organisations to address gender bias and contribute to the achievement of ERA objectives by increasing the number of female researchers in the IST fields.

For further information, please visit http://equal-ist.eu/.

Keywords

Information Systems Gender & Equality

Participating Institutions

Hilti Chair of Business Process Management / Partner

Project Participants

Prof. Dr. Jan vom Brocke

- Principal Investigator

Visiting Professor - Information Systems and Process Science

Principal Investigator

lic. phil. Golnaz Djalili Stehle

- Project Collaborator

Project Collaborator

Dr. Sonia Lippe-Dada MScIS

- Project Collaborator

Project Collaborator

Publications

Kirch, J., & Eisenbart, B. (2018). Teaching Entrepreneurship, Digitalization, Leadership, and Gender at the Same Time - How a New Learning Approach Integrates all Four Perspectives. Presented at the 1th annual International Conference of Education, Research and Innovation (ICERI 2018), Sevilla, Spain.
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Entwicklung eines Liechtenstein-Modells zur Generierung digitalen Kapitals

June 2019 until June 2020 (completed) KTT

Project Description

Digitales Kapital beschreibt infrastrukturelle (Netze etc.) und institutionelle (Gesetzte etc.) Faktoren, welche die Digitalisierung auf individueller, organisational, politischer und gesellschaftlicher Ebene
ermöglichen. Digitales Kapital ist das Resultat gesellschaftlicher und politischer Entscheidungen und Investitionen. Es bildet die Grundlage für die Generierung anderer Formen von Kapital, insbesondere ökonomischen Kapitals, Humankapitals, Sozialkapitals, organisationalen Kapitals sowie auch die Erhaltung natürlichen Kapitals. Bekannte Formen digitalen Kapitals reichen von digitalen
Beschaffungsprozessen bis hin zur Sharing Economy. Das Internet—selbst eine Form digitalen Kapitals—
bildet dabei die globale Infrastruktur für die Entstehung digitalen Kapitals.
Es ist jedoch wenig darüber bekannt, wie Regierungen gezielt die Generierung digitalen Kapitals in Form von Infrastruktur und Institutionen für den ökonomischen, ökologischen und sozialen Nutzen von Wirtschaft und Gesellschaft beeinflussen können.

Project Participants

Prof. Dr. Stefan Seidel

- Principal Investigator

Principal Investigator

Dr. Leona Chandra Kruse

- Project Collaborator

Project Collaborator

Developing a GIS-based process for energetic space assessment and planning based on regionally typical urban and landscape areas using the example of the Lake Constance-Alpine Rhine Valley Energy Region

September 2011 until June 2013 (completed) Preproposal PhD-Thesis

Project Description

This PhD- project focuses on the combination of the topics "space" and "energy". Against the background of the imminent energy transition the use of renewable energies is increasingly gaining in importance. As a result many conflicts arise over land utilization. In order to resolve resulting challenges, different levels of spatial planning have to reconciled and coordinated in the process.

The principal objective of this work is to develop a GIS-based assessment system that collects, processes and visualizes all relevant geographically referenced data so that informed decisions about sustainable energy planning can be reached.

The project will investigate

the spatial impact of a maximum expansion of renewable energy potential
synergies, but also conflicts with other land uses
how the expansion of renewable energies can be promoted and managed compatibly with the help of existing or new regional planning instruments.

The PhD-Thesis is part of the University of Liechtenstein´s research focus "Sustainable Urban Design and Planning". Model region for the inquiry and the development of the evaluation system is the Lake Constance-Alpine Rhine energy region (BAER).

Keywords

Renewable energy Regional Planning Geografic Information System GIS Spatial Planning Instruments

Project Participants

Dr. sc. Ariane Ruff

- PhD-Student

PhD-Student

Prof. em. DI MAAS Peter Droege

- Supervisor

Supervisor

Development of a decision-making model in radical innovation projects in open innovation systems

March 2010 until June 2010 (completed)

Project Description

With both quantitative analysis and a qualitative longitudinal study we will depict factors in decision-making that trigger radical innovation in small and medium sized companies and compile a model for a decision-making processes. This model will allow companies to target specifically radical innovation in open innovation systems and thereby enable the creation and marketing of more products.

Keywords

Radical innovation Decision Making Model development

Project Participants

PD Dr. habil. Christian Marxt

- Principal Investigator

Principal Investigator

Entrepreneurship within the scope of urban development - dimensions, instruments and factors of success of municipal entrepreneurship in the context of urban development as an intersecting set of municipal and entrepreneurial action

February 2017 (completed) Preproposal PhD-Thesis

Project Description

Megatrends and societal developments, for example the further intensification of online consumption, do head to a dynamic adaption of requirements regarding the living environment and corporate locations. These tendencies significantly vary the basic parameters in cities and regions. Local urban development is meant to balance these changes by applying proactive and demand-oriented measures and strategies. Therefore to ensure a sustainable attractiveness and quality of life a innovative an efficient urban development is most relevant, also to identify future needs as well as locational advantages and to release relevant impulses to counteract existent tendencies like the death of inner cities.

The objective of this dissertation is to make the crucial need for an entrepreneurial orientation within the local urban development and furthermore it's practical additional benefit comprehensible. For this reason dimensions and present instruments of urban development are examined. Based on these findings in the next step this research thesis incorporates the development of relevant instruments for an efficient and demand-oriented urban development. Moreover the necessary link between science and practice leads to the purpose to identify future factors of success and to thereby enable a sustainable practical additional benefit.