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Jochen Kumm

Biographic Data

ID170000
NAMEJochen Kumm
GIVEN NAMESJochen
FAMILY NAMEKumm
SIGNATUREKUMM J
AFFILIATIONSDepartment of Ophthalmology Stanford University Stanford California
ORCID0000-0002-3681-6859
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS32
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR1995
LATEST PUBLICATION YEAR2020
H-INDEX2
  • Archaeology and contemporary emerging zoonosis: A framework for predicting future Rift Valley fever virus outbreaks

    Open Access•K Seetah, Desiree Labeaud et al.•ARTICLE•International Journal of…•2020•References: 77

    Modelling of emerging vector borne diseases serves as an important complement to clinical studies of modern zoonoses. This article presents an archaeo-historic epidemiological modelling study of Rift Valley fever (RVF), using data-driven neural network technology. RVF affects both human and animal populations, can rapidly decimate herds causing catastrophic economic hardship, and is identified as a Category A biodefense pathogen by the US Center …

  • Individual Versus Social Learning: Evolutionary Analysis in a Fluctuating Environment

    Open Access•Marcus W Feldman, Kenichi Aoki et al.•ARTICLE•Anthropological Science•1996•Cited by: 19•References: 1

    A model for haploid asexual inheritance of social and individual learning is proposed. Animals of one genotype, individual learners (IL), behave optimally for the current environment and, except for a fixed cost due to learning errors, have the optimal fitness in that environment. Animals of the other genotype are social learners (SL) each of whom copies a random individual from the previous generation. However, the phenotype of a social learner …

  • Gene-Culture Coevolutionary Theory: A Test Case

    Kevin N Laland, Jochen Kumm et al.•ARTICLE•Current Anthropology•1995•Cited by: 13

  • Individual Versus Social Learning: Evolutionary Analysis in a Fluctuating Environment

    Open Access•Marcus W Feldman, Kenichi Aoki et al.•ARTICLE•Anthropological Science•1996•Cited by: 19•References: 1

    A model for haploid asexual inheritance of social and individual learning is proposed. Animals of one genotype, individual learners (IL), behave optimally for the current environment and, except for a fixed cost due to learning errors, have the optimal fitness in that environment. Animals of the other genotype are social learners (SL) each of whom copies a random individual from the previous generation. However, the phenotype of a social learner …

  • Gene-Culture Coevolutionary Theory: A Test Case

    Kevin N Laland, Jochen Kumm et al.•ARTICLE•Current Anthropology•1995•Cited by: 13

  • Gene-Culture Coevolutionary Theory: A Test Case

    Kevin N Laland, Jochen Kumm et al.•ARTICLE•Current Anthropology•1995•Cited by: 13

  • Individual Versus Social Learning: Evolutionary Analysis in a Fluctuating Environment

    Open Access•Marcus W Feldman, Kenichi Aoki et al.•ARTICLE•Anthropological Science•1996•Cited by: 19•References: 1

    A model for haploid asexual inheritance of social and individual learning is proposed. Animals of one genotype, individual learners (IL), behave optimally for the current environment and, except for a fixed cost due to learning errors, have the optimal fitness in that environment. Animals of the other genotype are social learners (SL) each of whom copies a random individual from the previous generation. However, the phenotype of a social learner …

  • Archaeology and contemporary emerging zoonosis: A framework for predicting future Rift Valley fever virus outbreaks

    Open Access•K Seetah, Desiree Labeaud et al.•ARTICLE•International Journal of…•2020•References: 77

    Modelling of emerging vector borne diseases serves as an important complement to clinical studies of modern zoonoses. This article presents an archaeo-historic epidemiological modelling study of Rift Valley fever (RVF), using data-driven neural network technology. RVF affects both human and animal populations, can rapidly decimate herds causing catastrophic economic hardship, and is identified as a Category A biodefense pathogen by the US Center …

Biology (2 works) · Ecology (2 works) · Evolutionary biology (2 works) · Evolutionary Game Theory and Cooperation (2 works) · Genetics (2 works) · Language and cultural evolution (2 works) · Archaeology (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · Disease (1 works)

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