Category: ABM

Come Work with Us: 2 Postdocs in Urban Simulation

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The George Mason University Department of Geography and Geoinformation Science within the College of Science, has an immediate opening for two postdoctoral fellows (up to 2-years), subject to budgetary approval. These positions will be part of the “Urban simulation” project team conducting research as part of the DARPA’s “Ground Truth” program, a network of DARPA-funded teams across the USA. The GMU team is directed by Andreas Züfle, Dieter Pfoser, and Andrew Crooks and supported by Carola Wenk at Tulane University. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment.

Postdoc 1

Responsibilities:
The primary job responsibilities of this position consist of the design, development and refinement of an agent-based simulation framework for urban areas. Using the existing Multiagent Simulation Toolkit (MASON) platform (written in Java), new agent logic will have to be implemented, thus creating agents that use socially plausible rules for mobility and interaction with other agents. A main goal is to create computationally efficient agent logic, thus allowing millions of agents to make decisions, find shortest paths between locations, and interact with their simulated world at the same time. For this purpose, implemented algorithms will need to be highly parallelizable, thus allowing to scale simulation via distribution among computing clusters located at GMU and Tulane. The successful candidate will also supervise graduate-level research assistants, collaborate with fellow scholars, and promote the department’s accomplishments through publications, presentations, and other public events.

Required Qualifications:

  • Ph.D. in computer science, data science, or closely related field;
  • Strong programming skills in Java;
  • Excellent written communication skills demonstrated by prior publications;
  • A track record that demonstrates the ability to work well with interdisciplinary research teams.
Preferred Qualifications:
  • Solid knowledge of graph algorithms;
  • Experience with Agent-Based Modeling and social science simulation;
  • Experience in design and implementation of software systems.
Postdoc 2
Responsibilities:
The primary job responsibilities of this position will be the design of an agent-based model based on the first principles underlying human needs, social interactions, and mobility to define socially plausible causalities. This model will contribute towards the design, development and refinement of an agent-based simulation framework for urban areas. Using the existing Multiagent Simulation Toolkit (MASON) platform (written in Java), new agent logic will have to be implemented, thus creating agents that use socially plausible rules for mobility and interaction with other agents. The successful candidate will also supervise graduate-level research assistants, collaborate with fellow scholars, and promote the department’s accomplishments through publications, presentations, and other public events.

Required Qualifications:

  • Ph.D. in computer science, data science, or closely related field; 
  • Experience with Agent-Based Modeling and social science simulation; 
  • Excellent written communication skills demonstrated by prior publications; 
  • A track record that demonstrates the ability to work well with interdisciplinary research teams.
Preferred Qualifications:
  • Strong programming skills in Java;

More Information: https://jobs.gmu.edu/postings/42109

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    ABM, MASON

    Come Work with Us: 2 Postdocs in Urban Simulation

    Posted on by
    The George Mason University Department of Geography and Geoinformation Science within the College of Science, has an immediate opening for two postdoctoral fellows (up to 2-years), subject to budgetary approval. These positions will be part of the “Urban simulation” project team conducting research as part of the DARPA’s “Ground Truth” program, a network of DARPA-funded teams across the USA. The GMU team is directed by Andreas Züfle, Dieter Pfoser, and Andrew Crooks and supported by Carola Wenk at Tulane University. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment.

    Postdoc 1

    Responsibilities:
    The primary job responsibilities of this position consist of the design, development and refinement of an agent-based simulation framework for urban areas. Using the existing Multiagent Simulation Toolkit (MASON) platform (written in Java), new agent logic will have to be implemented, thus creating agents that use socially plausible rules for mobility and interaction with other agents. A main goal is to create computationally efficient agent logic, thus allowing millions of agents to make decisions, find shortest paths between locations, and interact with their simulated world at the same time. For this purpose, implemented algorithms will need to be highly parallelizable, thus allowing to scale simulation via distribution among computing clusters located at GMU and Tulane. The successful candidate will also supervise graduate-level research assistants, collaborate with fellow scholars, and promote the department’s accomplishments through publications, presentations, and other public events.

    Required Qualifications:

    • Ph.D. in computer science, data science, or closely related field;
    • Strong programming skills in Java;
    • Excellent written communication skills demonstrated by prior publications;
    • A track record that demonstrates the ability to work well with interdisciplinary research teams.
    Preferred Qualifications:
    • Solid knowledge of graph algorithms;
    • Experience with Agent-Based Modeling and social science simulation;
    • Experience in design and implementation of software systems.
    Postdoc 2
    Responsibilities:
    The primary job responsibilities of this position will be the design of an agent-based model based on the first principles underlying human needs, social interactions, and mobility to define socially plausible causalities. This model will contribute towards the design, development and refinement of an agent-based simulation framework for urban areas. Using the existing Multiagent Simulation Toolkit (MASON) platform (written in Java), new agent logic will have to be implemented, thus creating agents that use socially plausible rules for mobility and interaction with other agents. The successful candidate will also supervise graduate-level research assistants, collaborate with fellow scholars, and promote the department’s accomplishments through publications, presentations, and other public events.

    Required Qualifications:

    • Ph.D. in computer science, data science, or closely related field; 
    • Experience with Agent-Based Modeling and social science simulation; 
    • Excellent written communication skills demonstrated by prior publications; 
    • A track record that demonstrates the ability to work well with interdisciplinary research teams.
    Preferred Qualifications:
    • Strong programming skills in Java;

    More Information: https://jobs.gmu.edu/postings/42109

      Continue reading »
      ABM, MASON

      AAG2018: Innovations in Urban Analytics

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      Call for Papers, AAG2018: Innovations in Urban Analytics

      We welcome paper submissions for our session at the Association of American Geographers Annual Meeting on 10-14 April, 2018, in New Orleans.

      Session Description

      New forms of data about people and cities, often termed ‘Big’, are fostering research that is disrupting many traditional fields. This is true in geography, and especially in those more technical branches of the discipline such as computational geography / geocomputation, spatial analytics and statistics, geographical data science, etc. These new forms of micro-level data have lead to new methodological approaches in order to better understand how urban systems behave. Increasingly, these approaches and data are being used to ask questions about how cities can be made more sustainable and efficient in the future.

      This session will bring together the latest research in urban analytics. We are particularly interested in papers that engage with the following domains:

      • Agent-based modelling (ABM) and individual-based modelling;
      • Machine learning for urban analytics;
      • Innovations in consumer data analytics for understanding urban systems;
      • Real-time model calibration and data assimilation;
      • Spatio-temporal data analysis;
      • New data, case studies, demonstrators, and tools for the study of urban systems;
      • Complex systems analysis;
      • Geographic data mining and visualization;
      • Frequentist and Bayesian approaches to modelling cities.

      Please e-mail the abstract and key words with your expression of intent to Nick Malleson (n.s.malleson@leeds.ac.uk) by 18 October, 2017 (one week before the AAG abstract deadline). Please make sure that your abstract conforms to the AAG guidelines in relation to title, word limit and key words and as specified at: http://annualmeeting.aag.org/submit_an_abstract. An abstract should be no more than 250 words that describe the presentation’s purpose, methods, and conclusions.

      For those interested specifically in the interface between research and policy, they might consider submitting their paper to the session “Computation for Public Engagement in Complex Problems” (http://www.gisagents.org/2017/10/call-for-papers-computation-for-public.html).

      Key Dates
      • 18 October, 2017: Abstract submission deadline. E-mail Nick Malleson by this date if you are interested in being in this session. Please submit an abstract and key words with your expression of intent.
      • 23 October, 2017: Session finalization and author notification.
      • 25 October, 2017: Final abstract submission to AAG, via the link above. All participants must register individually via this site. Upon registration you will be given a participant number (PIN). Send the PIN and a copy of your final abstract to Nick Malleson (n.s.malleson@leeds.ac.uk). Neither the organizers nor the AAG will edit the abstracts.
      • 8 November, 2017: AAG session organization deadline. Sessions submitted to AAG for approval.
      • 9-14 April, 2018: AAG Annual Meeting.
      Session Organizers
      Continue reading »
      AAG, ABM, Big Data, GeoComputation, GIS, Smart Cities, urban analytics, Urban Systems

      AAG2018: Innovations in Urban Analytics

      Posted on by

      Call for Papers, AAG2018: Innovations in Urban Analytics

      We welcome paper submissions for our session at the Association of American Geographers Annual Meeting on 10-14 April, 2018, in New Orleans.

      Session Description

      New forms of data about people and cities, often termed ‘Big’, are fostering research that is disrupting many traditional fields. This is true in geography, and especially in those more technical branches of the discipline such as computational geography / geocomputation, spatial analytics and statistics, geographical data science, etc. These new forms of micro-level data have lead to new methodological approaches in order to better understand how urban systems behave. Increasingly, these approaches and data are being used to ask questions about how cities can be made more sustainable and efficient in the future.

      This session will bring together the latest research in urban analytics. We are particularly interested in papers that engage with the following domains:

      • Agent-based modelling (ABM) and individual-based modelling;
      • Machine learning for urban analytics;
      • Innovations in consumer data analytics for understanding urban systems;
      • Real-time model calibration and data assimilation;
      • Spatio-temporal data analysis;
      • New data, case studies, demonstrators, and tools for the study of urban systems;
      • Complex systems analysis;
      • Geographic data mining and visualization;
      • Frequentist and Bayesian approaches to modelling cities.

      Please e-mail the abstract and key words with your expression of intent to Nick Malleson (n.s.malleson@leeds.ac.uk) by 18 October, 2017 (one week before the AAG abstract deadline). Please make sure that your abstract conforms to the AAG guidelines in relation to title, word limit and key words and as specified at: http://annualmeeting.aag.org/submit_an_abstract. An abstract should be no more than 250 words that describe the presentation’s purpose, methods, and conclusions.

      For those interested specifically in the interface between research and policy, they might consider submitting their paper to the session “Computation for Public Engagement in Complex Problems” (http://www.gisagents.org/2017/10/call-for-papers-computation-for-public.html).

      Key Dates
      • 18 October, 2017: Abstract submission deadline. E-mail Nick Malleson by this date if you are interested in being in this session. Please submit an abstract and key words with your expression of intent.
      • 23 October, 2017: Session finalization and author notification.
      • 25 October, 2017: Final abstract submission to AAG, via the link above. All participants must register individually via this site. Upon registration you will be given a participant number (PIN). Send the PIN and a copy of your final abstract to Nick Malleson (n.s.malleson@leeds.ac.uk). Neither the organizers nor the AAG will edit the abstracts.
      • 8 November, 2017: AAG session organization deadline. Sessions submitted to AAG for approval.
      • 9-14 April, 2018: AAG Annual Meeting.
      Session Organizers
      Continue reading »
      AAG, ABM, Big Data, GeoComputation, GIS, Smart Cities, urban analytics, Urban Systems
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