Month: May 2020

Call for the 2020 CSS Senior and Junior Scientific Awards

The Complex Systems Society announces the seventh edition of the CSS Scientific Awards. These awards are conferred once a year in two categories: the senior scientific award will recognize outstanding contributions of Complex Systems scholars at whatever stage of their careers, whereas the junior scientific award is aimed at recognizing excellent scientific record of young researchers (within 10 years of PhD completion).

See https://cssociety.org/calls/64 and https://cssociety.org/calls/65.

Deadline: June 15, 2020.

See http://cssociety.org/community/css-awards for the list of previous awardees.

Source: cssociety.org

Complex Systems and Population Health – Yorghos Apostolopoulos; Michael K. Lemke; Kristen Hassmiller Lich – Oxford University Press

Edited by Yorghos Apostolopoulos, Michael K. Lemke, and Kristen Hassmiller Lich

 

  • The first comprehensive book integrating complex systems theory, methodology and modeling, with current population health practices
  • An instructional primer including learning objectives, take-home messages, and resources for further reading
  • Makes complex systems approachable for university professors, graduate students, policymakers, researchers, and practitioners of population health

Source: global.oup.com

Sustainability | Special Issue : Economic Complexity and Sustainability

During the last decade, economic development efforts have been marked by both a return of industrial policy [1–3] and the growing need to consider social and environmental sustainability [4–7]. At the intersection of both of these topics, we find important policy efforts, such as Europe’s Green Deal [8], and also a growing academic literature on economic complexity [9,10], green growth [11], green innovation [12,13], and sustainability. On the one hand, this literature is exploring how the product space [3] and the principle of relatedness [14] can facilitate an economy’s transition into green products [15–18]. On the other hand, this literature is exploring the connection between environmental sustainability and the complexity of an economy [19–22]. In fact, evidence thus far shows that economies tend to reduce emissions when they become sufficiently complex [21–23], and also, that higher complexity economies tend to experience lower levels of income inequality [7] and higher levels of human development [24].

The purpose of this Special Issue is to stimulate, promote, and gather research at the intersection between environmental sustainability, social sustainability, and economic complexity. We are looking for contributions exploring these and other topics:

 

  • Relatedness and the development of green products/jobs/industries;
  • Sustainability and global value chains;
  • Economic complexity, environmental sustainability, and the environmental Kuznets curve;
  • Economic complexity, inequality, and sustainable human development;
  • Green Growth;
  • Green Innovation.

Source: www.mdpi.com

What Is a Complex System?

A clear, concise introduction to the quickly growing field of complexity science that explains its conceptual and mathematical foundations

What is a complex system? Although “complexity science” is used to understand phenomena as diverse as the behavior of honeybees, the economic markets, the human brain, and the climate, there is no agreement about its foundations. In this introduction for students, academics, and general readers, philosopher of science James Ladyman and physicist Karoline Wiesner develop an account of complexity that brings the different concepts and mathematical measures applied to complex systems into a single framework. They introduce the different features of complex systems, discuss different conceptions of complexity, and develop their own account. They explain why complexity science is so important in today’s world.

Source: yalebooks.yale.edu

Computational Social Science and Sociology

Achim Edelmann, Tom Wolff, Danielle Montagne, and Christopher A. Bail

Annual Review of Sociology, Volume 46

 

The integration of social science with computer science and engineering fields has produced a new area of study: computational social science. This field applies computational methods to novel sources of digital data such as social media, administrative records, and historical archives to develop theories of human behavior. We review the evolution of this field within sociology via bibliometric analysis and in-depth analysis of the following subfields where this new work is appearing most rapidly: (a) social network analysis and group formation; (b) collective behavior and political sociology; (c) the sociology of knowledge; (d) cultural sociology, social psychology, and emotions; (e) the production of culture; ( f ) economic sociology and organizations; and (g) demography and population studies. Our review reveals that sociologists are not only at the center of cutting-edge research that addresses longstanding questions about human behavior but also developing new lines of inquiry about digital spaces as well. We conclude by discussing challenging new obstacles in the field, calling for increased attention to sociological theory, and identifying new areas where computational social science might be further integrated into mainstream sociology.

Source: www.annualreviews.org