sharing.city.college

Hamburg Graduate School
for Data-Driven Participatory Smart Cities

The sharing.city.college is seeking for talented graduates with strong computing background who are interested in pursuing a doctoral project which focuses on studying or designing data-centered participatory smart cities, including smart city infrastructures, systems, and services.  

sharing.city.college

Metropolitan areas around the globe are facing huge logistical, societal, and ecological challenges. The rapid urbanization, climate change, and demographic change confronted with resource scarcity in urban areas have led to various stressors such as pollution and congestion, which directly impact the quality of life.

The response of computer science and technology to those challenges is often called

“smart city”

About the Idea

This concept denotes a system of systems, where a large amount of heterogeneous data, partly collected by Internet of Things (IoT) sensors, is processed in an intelligent way to efficiently manage scarce resources (such as green areas, mobility services, or energy) and to create services, which increase the citizens’ quality of life. Citizens represent a key enabling component of a smart city, i.e. users, who not only generate and share a large part of the data, but also play a central role in designing, promoting, and feeding smart city systems and services. The participation of users in the design, development, and usage of smart city services is thus crucial for a sustainable, data-centered smart city, which we call :

sharing.city

Hamburg, one of the most dynamic and digitized cities in Europe, represents a perfect candidate of a sharing.city.  For instance, the Hamburg Open Data portal transparenz.portal and the underlying regulation were amongst the first in Germany and is now followed by other cities and states. Hamburg has also already a variety of smart city projects and services as the smart port or autonomous cars in the heart of the city as well as a long tradition of citizen participation. Moreover,  projects like Hamburg Open Science or Urban Data Hub build unique  research collaboration platforms, which facilitate  the development of sharing.city services. 

sharing.city.college

The sharing.city.college is a possible blueprint for a Hamburg-wide graduate school in computer science. The sharing.city.college is expected to pilot and evaluate formats for advancing the development of junior researchers, such as a summer school, international fellowships for leading researchers engaging junior researchers, research courses, development of demonstrators, engaging in citizen science and sharing research findings with practitioners and the public. 

Research Areas

Engineering sharing.city

Citizen Data Science

Smart, Sharing Infrastructures

  • User and citizen participation systems and processes
  • Methodologies and tools to design, develop, test, and maintain data-driven systems and services
  • Engineering, managing and applying sustainable, socio-technical systems
  • Empirical studies, approaches, and tools for user participation and user involvement
  • Feedback and decision-making platforms at large
  • Architectures and frameworks for the collection and mining of user data
  • Crowdsourcing, Crowd-sensing, and Citizen Science
  • Incentive systems, including gamification, badges, and data donation
  • Collection, management, and validation of citizen and sustainability requirements
  • Sustainability design and value driven software engineering 
  • Data Engineering, Data Science Lifecycle and Machine Learning for Smart Cities
  • Learning approaches for sharing.city, in particular, federated learning, transfer learning, and cross modal learning
  • Machine learning with user-in-the-loop
  • Data privacy, data governance, and data protection
  • Data quality assurance including quality metrics, fake data, data manipulation, authenticity, actionability, and reliability
  • Machine learning applications for constructive participation systems
  • Data integration and augmentation
  • Learning from social media data, sensor data, and governmental data
  • Explainable AI
  • Energy- and resource-efficient smart devices and services
  • Scalable and reliable architectures
  • Distributed architectures for cyber-physical systems
  • Hardware/software co-design
  • Design of safety-critical and mixed-critical systems
  • Distributed data processing and learning
  • Learning sensors and learning infrastructures, smart, context-aware IoT
  • Adaptive and resilient socio-technical systems

Initiators

Application

Within the graduate school we encourage applications that tackle at least one of the aforementioned areas of research. Additionally, we seek to build a strong collaborative environment that benefits from heterogeneous perspectives, methods, and research traditions.

 

The graduate school commits itself to the principles of open science. Thus, we seek to apply and contribute to open data, open methods, and open access, i.e. Hamburg’s Urban Data Hub. Graduate school projects should ideally lead to prototypes which can be tested in the sharing.city Hamburg.

  • Eligible for applicants are researchers in computer science who are affiliated to one of the computer science departments at the HAW, TUHH, and UHH that constitute ahoi.digital
  • Original, excellent, and sound research proposal with an outline of the contribution towards the broader research themes (max. 4 pages)
  • A proposal of the contribution to joint activities of the graduate school by the supervisor and co-supervisor (i.e., teaching activities, chairing distinguished lectures) (max. 1 page)
  • Commitment of a second supervisor from a different ahoi.digital institution
  • Statement of the joint supervision of the PhD project regarding the collaborative nature of the project, feedback loops, mentoring, and possibilities for joint publications (max. 1 page)
  • Statement on the impact on Hamburg as testbed for sharing.city, potential links to initiatives and actors (max. 1 page)
  • List of reviewer suggestions (at least 2)

The graduate school sharing.city seeks to elevate original research ideas with an outstanding potential from a scholarly as well as societal perspective regarding smart cities. Thus, the application is based on a project proposal by PIs. Prospective PhD students will apply for selected projects. All applications that are eligible, based on timeliness and completeness are evaluated by independent external referees.

The final decision is made by the selection committee which consists of:

  • three senior researchers from outside Hamburg
  • one senior researcher from Hamburg that is elected by the ahoi.digital coordination commission
  • one representative of smart city Hamburg that is knowledgeable about the digital strategy of Hamburg
  • the managing director of ahoi.digital

 

The decision is based on the following criteria:

  • Originality and potential of the research proposal
  • Fit to one or more of the broader research areas addressed by the graduate school
  • Originality and fit of the outlined contribution to the joint activities of the graduate school
  • Fit to the goals of ahoi.digital as addressed in the statement of joint supervision and the statement on the potential impact
  • Deadline for application: Applications should be sent to Dr. Martin Semmann
    martin.semmann@uni-hamburg.de by 30th September 2020.
  • Final decision by 16th November 2020
  • Call for application by prospects by 23rd November 2020
  • Selection of candidates by 07th December 2020
  • Start date: 01st February 2021
Contacts

For any inquiries
please email

sharing.city.college

Hamburg Graduate School for Data-Driven Participatory Smart Cities

The sharing.city.college is seeking for talented graduates with strong computing background who are interested in pursuing a doctoral project which focuses on studying or designing data-centered participatory smart cities, including smart city infrastructures, systems, and services.  

sharing.city.college

Metropolitan areas around the globe are facing huge logistical, societal, and ecological challenges. The rapid urbanization, climate change, and demographic change confronted with resource scarcity in urban areas have led to various stressors such as pollution and congestion, which directly impact the quality of life.

The response of computer science and technology to those challenges is often called

“smart city”

About the Idea

This concept denotes a system of systems, where a large amount of heterogeneous data, partly collected by Internet of Things (IoT) sensors, is processed in an intelligent way to efficiently manage scarce resources (such as green areas, mobility services, or energy) and to create services, which increase the citizens’ quality of life. Citizens represent a key enabling component of a smart city, i.e. users, who not only generate and share a large part of the data, but also play a central role in designing, promoting, and feeding smart city systems and services. The participation of users in the design, development, and usage of smart city services is thus crucial for a sustainable, data-centered smart city, which we call :

sharing.city

Hamburg, one of the most dynamic and digitized cities in Europe, represents a perfect candidate of a sharing.city.  For instance, the Hamburg Open Data portal transparenz.portal and the underlying regulation were amongst the first in Germany and is now followed by other cities and states. Hamburg has also already a variety of smart city projects and services as the smart port or autonomous cars in the heart of the city as well as a long tradition of citizen participation. Moreover,  projects like Hamburg Open Science or Urban Data Hub build unique  research collaboration platforms, which facilitate  the development of sharing.city services. 

sharing.city.college

The sharing.city.college is a possible blueprint for a Hamburg-wide graduate school in computer science. The sharing.city.college is expected to pilot and evaluate formats for advancing the development of junior researchers, such as a summer school, international fellowships for leading researchers engaging junior researchers, research courses, development of demonstrators, engaging in citizen science and sharing research findings with practitioners and the public. 

Research Areas

Engineering sharing.city

Citizen
Data Science

Smart, Sharing Infrastructures

  • User and citizen participation systems and processes
  • Methodologies and tools to design, develop, test, and maintain data-driven systems and services
  • Engineering, managing and applying sustainable, socio-technical systems
  • Empirical studies, approaches, and tools for user participation and user involvement
  • Feedback and decision-making platforms at large
  • Architectures and frameworks for the collection and mining of user data
  • Crowdsourcing, Crowd-sensing, and Citizen Science
  • Incentive systems, including gamification, badges, and data donation
  • Collection, management, and validation of citizen and sustainability requirements
  • Sustainability design and value driven software engineering 
  • Data Engineering, Data Science Lifecycle and Machine Learning for Smart Cities
  • Learning approaches for sharing.city, in particular, federated learning, transfer learning, and cross modal learning
  • Machine learning with user-in-the-loop
  • Data privacy, data governance, and data protection
  • Data quality assurance including quality metrics, fake data, data manipulation, authenticity, actionability, and reliability
  • Machine learning applications for constructive participation systems
  • Data integration and augmentation
  • Learning from social media data, sensor data, and governmental data
  • Explainable AI
  • Energy- and resource-efficient smart devices and services
  • Scalable and reliable architectures
  • Distributed architectures for cyber-physical systems
  • Hardware/software co-design
  • Design of safety-critical and mixed-critical systems
  • Distributed data processing and learning
  • Learning sensors and learning infrastructures, smart, context-aware IoT
  • Adaptive and resilient socio-technical systems

Initiators

Application

Within the graduate school we encourage applications that tackle at least one of the aforementioned areas of research. Additionally, we seek to build a strong collaborative environment that benefits from heterogeneous perspectives, methods, and research traditions.

The graduate school commits itself to the principles of open science. Thus, we seek to apply and contribute to open data, open methods, and open access, i.e. Hamburg’s Urban Data Hub. Graduate school projects should ideally lead to prototypes which can be tested in the sharing.city Hamburg.

  • Eligible for applicants are researchers in computer science who are affiliated to one of the computer science departments at the HAW, TUHH, and UHH that constitute ahoi.digital
  • Original, excellent, and sound research proposal with an outline of the contribution towards the broader research themes (max. 4 pages)
  • A proposal of the contribution to joint activities of the graduate school by the supervisor and co-supervisor (i.e., teaching activities, chairing distinguished lectures) (max. 1 page)
  • Commitment of a second supervisor from a different ahoi.digital institution
  • Statement of the joint supervision of the PhD project regarding the collaborative nature of the project, feedback loops, mentoring, and possibilities for joint publications (max. 1 page)
  • Statement on the impact on Hamburg as testbed for sharing.city, potential links to initiatives and actors (max. 1 page)
  • List of reviewer suggestions (at least 2)

The graduate school sharing.city seeks to elevate original research ideas with an outstanding potential from a scholarly as well as societal perspective regarding smart cities. Thus, the application is based on a project proposal by PIs. Prospective PhD students will apply for selected projects. All applications that are eligible, based on timeliness and completeness are evaluated by independent external referees.

The final decision is made by the selection committee which consists of:

  • three senior researchers from outside Hamburg
  • one senior researcher from Hamburg that is elected by the ahoi.digital coordination commission
  • one representative of smart city Hamburg that is knowledgeable about the digital strategy of Hamburg
  • the managing director of ahoi.digital

 

The decision is based on the following criteria:

  • Originality and potential of the research proposal
  • Fit to one or more of the broader research areas addressed by the graduate school
  • Originality and fit of the outlined contribution to the joint activities of the graduate school
  • Fit to the goals of ahoi.digital as addressed in the statement of joint supervision and the statement on the potential impact
  • Deadline for application: Applications should be sent to Dr. Martin Semmann
    martin.semmann@uni-hamburg.de by 30th September 2020.
  • Final decision by 16th November 2020
  • Call for application by prospects by 23rd November 2020
  • Selection of candidates by 07th December 2020
  • Start date: 01st February 2021
Contacts

For any inquiries please email

sharing.city.college

Hamburg Graduate School for Data-Driven Participatory Smart Cities

The sharing.city.college is seeking for talented graduates with strong computing background who are interested in pursuing a doctoral project which focuses on studying or designing data-centered participatory smart cities, including smart city infrastructures, systems, and services.  

sharing.city.college

Metropolitan areas around the globe are facing huge logistical, societal, and ecological challenges. The rapid urbanization, climate change, and demographic change confronted with resource scarcity in urban areas have led to various stressors such as pollution and congestion, which directly impact the quality of life.

The response of computer science and technology to those challenges is often called

“smart city”

About the Idea

This concept denotes a system of systems, where a large amount of heterogeneous data, partly collected by Internet of Things (IoT) sensors, is processed in an intelligent way to efficiently manage scarce resources (such as green areas, mobility services, or energy) and to create services, which increase the citizens’ quality of life. Citizens represent a key enabling component of a smart city, i.e. users, who not only generate and share a large part of the data, but also play a central role in designing, promoting, and feeding smart city systems and services. The participation of users in the design, development, and usage of smart city services is thus crucial for a sustainable, data-centered smart city, which we call :

sharing.city

Hamburg, one of the most dynamic and digitized cities in Europe, represents a perfect candidate of a sharing.city.  For instance, the Hamburg Open Data portal transparenz.portal and the underlying regulation were amongst the first in Germany and is now followed by other cities and states. Hamburg has also already a variety of smart city projects and services as the smart port or autonomous cars in the heart of the city as well as a long tradition of citizen participation. Moreover,  projects like Hamburg Open Science or Urban Data Hub build unique  research collaboration platforms, which facilitate  the development of sharing.city services. 

sharing.city.college

The sharing.city.college is a possible blueprint for a Hamburg-wide graduate school in computer science. The sharing.city.college is expected to pilot and evaluate formats for advancing the development of junior researchers, such as a summer school, international fellowships for leading researchers engaging junior researchers, research courses, development of demonstrators, engaging in citizen science and sharing research findings with practitioners and the public. 

Research Areas

Engineering sharing.city

  • User and citizen participation systems and processes
  • Methodologies and tools to design, develop, test, and maintain data-driven systems and services
  • Engineering, managing and applying sustainable, socio-technical systems
  • Empirical studies, approaches, and tools for user participation and user involvement
  • Feedback and decision-making platforms at large
  • Architectures and frameworks for the collection and mining of user data
  • Crowdsourcing, Crowd-sensing, and Citizen Science
  • Incentive systems, including gamification, badges, and data donation
  • Collection, management, and validation of citizen and sustainability requirements
  • Sustainability design and value driven software engineering 

Citizen
Data Science

  • Data Engineering, Data Science Lifecycle and Machine Learning for Smart Cities
  • Learning approaches for sharing.city, in particular, federated learning, transfer learning, and cross modal learning
  • Machine learning with user-in-the-loop
  • Data privacy, data governance, and data protection
  • Data quality assurance including quality metrics, fake data, data manipulation, authenticity, actionability, and reliability
  • Machine learning applications for constructive participation systems
  • Data integration and augmentation
  • Learning from social media data, sensor data, and governmental data
  • Explainable AI

Smart, Sharing Infrastructures

  • Energy- and resource-efficient smart devices and services
  • Scalable and reliable architectures
  • Distributed architectures for cyber-physical systems
  • Hardware/software co-design
  • Design of safety-critical and mixed-critical systems
  • Distributed data processing and learning
  • Learning sensors and learning infrastructures, smart, context-aware IoT
  • Adaptive and resilient socio-technical systems

Initiators

Application

Within the graduate school we encourage applications that tackle at least one of the aforementioned areas of research. Additionally, we seek to build a strong collaborative environment that benefits from heterogeneous perspectives, methods, and research traditions.

The graduate school commits itself to the principles of open science. Thus, we seek to apply and contribute to open data, open methods, and open access, i.e. Hamburg’s Urban Data Hub. Graduate school projects should ideally lead to prototypes which can be tested in the sharing.city Hamburg.

  • Eligible for applicants are researchers in computer science who are affiliated to one of the computer science departments at the HAW, TUHH, and UHH that constitute ahoi.digital
  • Original, excellent, and sound research proposal with an outline of the contribution towards the broader research themes (max. 4 pages)
  • A proposal of the contribution to joint activities of the graduate school by the supervisor and co-supervisor (i.e., teaching activities, chairing distinguished lectures) (max. 1 page)
  • Commitment of a second supervisor from a different ahoi.digital institution
  • Statement of the joint supervision of the PhD project regarding the collaborative nature of the project, feedback loops, mentoring, and possibilities for joint publications (max. 1 page)
  • Statement on the impact on Hamburg as testbed for sharing.city, potential links to initiatives and actors (max. 1 page)
  • List of reviewer suggestions (at least 2)

The graduate school sharing.city seeks to elevate original research ideas with an outstanding potential from a scholarly as well as societal perspective regarding smart cities. Thus, the application is based on a project proposal by PIs. Prospective PhD students will apply for selected projects. All applications that are eligible, based on timeliness and completeness are evaluated by independent external referees.

The final decision is made by the selection committee which consists of:

  • three senior researchers from outside Hamburg
  • one senior researcher from Hamburg that is elected by the ahoi.digital coordination commission
  • one representative of smart city Hamburg that is knowledgeable about the digital strategy of Hamburg
  • the managing director of ahoi.digital

 

The decision is based on the following criteria:

  • Originality and potential of the research proposal
  • Fit to one or more of the broader research areas addressed by the graduate school
  • Originality and fit of the outlined contribution to the joint activities of the graduate school
  • Fit to the goals of ahoi.digital as addressed in the statement of joint supervision and the statement on the potential impact
  • Deadline for application: Applications should be sent to Dr. Martin Semmann
    martin.semmann@uni-hamburg.de by 30th September 2020.
  • Final decision by 16th November 2020
  • Call for application by prospects by 23rd November 2020
  • Selection of candidates by 07th December 2020
  • Start date: 01st February 2021
Contacts

For any inquiries please email