Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability

Original language	English
Publication date	2020
Number of pages	1
Publication status	Published - 2020
Event	The fourth conference of the Nordic Society Oikos 2020: Ecology in the Anthropocene - Harpa Conference and Concert Centre, Reykjavik, Iceland Duration: 2 Mar 2020 → 5 Mar 2020 https://www.oikos2020.org/

Conference

Conference	The fourth conference of the Nordic Society Oikos 2020
Location	Harpa Conference and Concert Centre
Country/Territory	Iceland
City	Reykjavik
Period	02/03/2020 → 05/03/2020
Internet address	https://www.oikos2020.org/

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Activities

• 2 Conference presentations
• 1 Organisation or participation in workshops, courses, seminars, exhibitions or similar
• 1 Visiting another research institution

Activities per year

• Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability

  Ørsted, M. (Lecturer)

  3 Mar 2020

  Activity: Talks and presentations › Conference presentations

• Santa Clara University, Department of Biology

  Ørsted, M. (Visiting researcher)

  7 Nov 2019 → 5 Jan 2020

  Activity: Visiting another research institution

• Experimental evolution and conservation: insights from Drosophila

  Ørsted, M. (Lecturer)

  5 Apr 2019

  Activity: Talks and presentations › Conference presentations

View all 4 activities

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Ørsted, M., Sandel, B., Kissling, W. D., & Nielsen, K. T. (2020). Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. Abstract from The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Iceland.

Ørsted, Michael ; Sandel, Brody ; Kissling, W. Daniel et al. / Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. Abstract from The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Iceland.1 p.

@conference{6b8b495f744c47419f0531d9c6cd1ebd,

title = "Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability",

author = "Michael {\O}rsted and Brody Sandel and Kissling, {W. Daniel} and Nielsen, {Kristian Tr{\o}jelsgaard}",

year = "2020",

language = "English",

note = "The fourth conference of the Nordic Society Oikos 2020 ; Conference date: 02-03-2020 Through 05-03-2020",

url = "https://www.oikos2020.org/",

}

Ørsted, M, Sandel, B, Kissling, WD & Nielsen, KT 2020, 'Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability', The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Iceland, 02/03/2020 - 05/03/2020.

Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. / Ørsted, Michael; Sandel, Brody; Kissling, W. Daniel et al.
2020. Abstract from The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Iceland.

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability

AU - Ørsted, Michael

AU - Sandel, Brody

AU - Kissling, W. Daniel

AU - Nielsen, Kristian Trøjelsgaard

PY - 2020

Y1 - 2020

M3 - Conference abstract for conference

T2 - The fourth conference of the Nordic Society Oikos 2020

Y2 - 2 March 2020 through 5 March 2020

ER -

Ørsted M, Sandel B, Kissling WD, Nielsen KT. Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. 2020. Abstract from The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Iceland.