cbompp

Department of Management, Politics and Philosophy

Christian
Borch
Professor
,
PhD


Room: POR/18.A-2.18b
Tel:
+4538153627
E-mail: cbo.mpp@cbs.dk
Christian Borch
Presentation

My research focuses on economic sociology and social theory. I am particularly interested in algorithmic trading and its consequences for financial markets and have been doing fieldwork (interviews and ethnographic observations) for several years, in part as the PI of the ERC-funded research project “Algorithmic Finance.” This work has sparked an interest in the role of AI and machine learning, where I am particularly concerned with discussions around ML opacity and “Explainable AI” as well as what AI/ML technologies mean for society and sociological theorizing. Another research strand is crowd and collective behavior, in particular sociological theorization on this topic. Work on this topic led to my award-winning book, The Politics of Crowds: An Alternative History of Sociology (Cambridge UP, 2012). A more recent book, Social Avalanche: Crowds, Cities and Financial Markets (Cambridge UP, 2020), combines my interests in financial markets, including algorithmic trading, and crowd and collective behavior as well as it ties these topics to another long-standing interest of mine, cities and architecture.

Primary research areas
  • Algorithmic trading and automated financial markets
  • AI/ML, including Explainable AI
  • Crowd and collective behavior
  • Social theory
  • Architecture and urban space
Curriculum Vitae
Social media
Links
Link to this homepage
www.cbs.dk/en/staff/cbompp
Courses
  • “Social Studies of Finance: From Financialization to Algorithmic Trading”
Supervision
  • I supervise MA and PhD students within my research areas.
Publications sorted by:
2022
Kristian Bondo Hansen; Christian Borch / Alternative Data and Sentiment Analysis : Prospecting Non-standard Data in Machine Learning-driven Finance.
In: Big Data & Society, Vol. 9, No. 1, 1.2022
Journal article > peer review
Christian Borch / Financial Contagion in an Age of COVID-19 : On Biological, Human, and Algorithmic Mimesis.
In: CounterText, Vol. 8, No. 1, 4.2022, p. 206-226
Journal article > peer review
Christian Borch; Bo Hee Min / Machine Learning and Social Action in Markets : From First- to Second-generation Automated Trading.
In: Economy and Society, 4.5.2022
Journal article > peer review
Christian Borch / Machine Learning, Knowledge Risk, and Principal-agent Problems in Automated Trading
In: Technology in Society, Vol. 68, 2.2022
Journal article > peer review
Bo Hee Min; Christian Borch / Systemic Failures and Organizational Risk Management in Algorithmic Trading : Normal Accidents and High Reliability in Financial Markets.
In: Social Studies of Science, Vol. 52, No. 2, 4.2022, p. 277-302
Journal article > peer review
2021
Christian Borch; Bjørn Schiermer / Crowd and Collective Behavior
In: Handbook of Classical Sociological Theory. ed. /Seth Abrutyn; Omar Lizardo. Cham : Springer 2021, p. 439-465 (Handbooks of Sociology and Social Research)
Book chapter > peer review
Christian Borch / Crowds, Mobilization, Avalanches!
In: Sustainable Societies for the Future. ed. /Stephanie Cristello; Kirse Junge-Stevnsborg. Berlin : Motto Books 2021, p. 45-52
Report chapter
Christian Borch / Introduction : What is Critical Finance Studies?.
In: The Routledge Handbook of Critical Finance Studies. ed. /Christian Borch; Robert Wosnitzer. New York : Routledge 2021, p. 1-25 (Routledge International Handbooks)
Book chapter > peer review
Christian Borch / Machine Learning and Social Theory : Collective Machine Behaviour in Algorithmic Trading.
In: European Journal of Social Theory, 1.11.2021
Journal article > peer review
Kristian Bondo Hansen; Christian Borch / The Absorption and Multiplication of Uncertainty in Machine-learning-driven Finance
In: British Journal of Sociology, Vol. 72, No. 4, 9.2021, p. 1015-1029
Journal article > peer review
More results... (total 102 results)
Research Projects
Outside activities

Enel, 31 March 2019:  Talk: 'Algo-trading: Situazione, possibile evoluzione e impatti su mercati e operatori’, Enel Global Trading Day, Rome.