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Магистратура 2021/2022

Компьютерное моделирование в социальных и политических науках

Статус: Курс обязательный (Анализ данных для государства и общества)
Направление: 41.04.04. Политология
Когда читается: 1-й курс, 3 модуль
Формат изучения: без онлайн-курса
Охват аудитории: для своего кампуса
Преподаватели: Лосева Алла Олеговна
Прогр. обучения: Анализ данных для государства и общества
Язык: английский
Кредиты: 3
Контактные часы: 32

Course Syllabus

Abstract

Agent-based modeling (ABM) is a simulation method where the mass behavior of different interacting actors determines the dynamics of the system as a whole. Scientists describe the rules of behavior of agents at the individual level, in particular how these agents decide to act and interact under certain conditions, while the general dynamics of the system arises as a result of the local choices interactions. Such models allow to overcome many limitations in management analysis and policy assessment. Where it is impossible to conduct a field experiment introducing certain measures, agent-based modeling is used for a realistic assessment of the consequences, since it is possible to take into account the heterogeneity of decisions and attitudes of individuals, their resistance to change, the evolution of attitudes, capabilities and changes in norms.
Learning Objectives

Learning Objectives

  • To learn computational methods of experimental policy assessment
Expected Learning Outcomes

Expected Learning Outcomes

  • A student can conduct what-if analysis, examine the results of political interventions under different assumptions on how people decide
  • A student can formalize a decision-making model of agents in NetLogo code
  • A student can formulate a micro-macro conceptual model explaining a complex empirical phenomenon
  • A student can implement the computational agent-based model
Course Contents

Course Contents

  • Modeling complex phenomena
  • Individual decision-making
  • Designing an agent-based model
  • Computational experiments
Assessment Elements

Assessment Elements

  • non-blocking Formatives
    Each formative consists of several questions graded with 1-3 points. Late work is graded with half the points. At the end of the course, the formative with the lowest grade can be resubmitted. In total, the max. amount of points received through formatives will equal 40.
  • non-blocking Model
    The model is submitted in two steps: first as a draft for the peer review, and then as a final submission. In total, the max. amount of points received through model will equal 40.
  • non-blocking Review
    In total, the amount of points received through review will equal 20.
Interim Assessment

Interim Assessment

  • 2021/2022 3rd module
    Gfinal = (Gform + Gmodel + Greview) / 10 The grade will be rounded arithmetically
Bibliography

Bibliography

Recommended Core Bibliography

  • Uri Wilensky, & William Rand. (2015). An Introduction to Agent-Based Modeling : Modeling Natural, Social, and Engineered Complex Systems with NetLogo. The MIT Press.

Recommended Additional Bibliography

  • The Oxford handbook of analytical sociology ed. by Peter Hedström . (2011).