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Knut Seip
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Knut Lehre Seip (born 1942 in Oslo, Norway) is professor in environmental management at Oslo and Akershus University College, Norway. Seip obtained his masters in physics at the University of Oslo, UiO, in 1969. He obtained his ph.D (doctor philos.) at UiO in 1992 with the thesis “Mathematical models of lake ecosystems.” Seip has served at several positions at Center for industrial research, SI / SINTEF. Professor Seip held the first chair in Environmental management in Norway, at Telemark University College 1994-2000, then he became professor and head of Research and Management at Oslo University College. From 2011 he has been professor and vice dean for research and development at the Faculty of technology, arts and design at Oslo and Akershus University College of applied Sciences. He is th son of the Norwegian historian Jens Arup Seip.
==Scientific focus==
Seip has worked in applied mathematics with problems related to doubly curved surfaces, within the ecological field with models of rocky shore and lake ecosystems (e.g.,;〔“Mathematical models of rocky shore ecosystems” in Jørgen, S.E. and W.J. Mitsch. 1983. Application of ecological modelling in environmental management, part B. p. 341-426, ElsevierISBN 0-444-42247-1〕〔Seip, K.L. and C. Reynolds 1995. Phytoplankton functional attributes along trophic gradient and season. Limnology and Oceanography, 40 (3):589-597〕), with oil pollution,〔Seip, K.L. 1991. Decisions with multiple environmental objectives. The siting of oil drilling wells in Norway. In J. Ganoulis (Ed.) Water Resources Engineering Risk Assessment. Springer Verlag. Heidelberg. pp. 503-524〕 and with population cycles in terrestrial environments.〔Holmengen, N. And Seip, K.L. 2009. Cycle lengths and phase portrait characteristics as probes for predator-prey interactions: comparing simulations and observed data. Can. J. Zool. 87(1) 20-30)〕 Within macroeconomic field he has worked on leading and lagging indexes and breakpoint identification. He has developed two methods for studying interactions between actors, the “leading –lagging, LL- strength method” and the “angle frequency method”. The first extends the analysis of associations with analyses of “leading” and “lagging” relationships for cyclic phenomena. The other extends the analysis of slopes in regression analysis with the analysis of “compass directions”. Both methods are used to characterize the behavior of actors, for example as competitors, facilitators and gainers or engineers. The models are used within ecology〔Sandvik, G., et al., Using the angle frequency method to detect signals of competition and predation in experimental time series. Ecology Letters, 2004. 7(8): p. 640-652.〕〔Leyequien, E., W.F. de Boer, and A. Cleef, Influence of body size on coexistence of bird species. Ecological Research, 2007. 22(5): p. 735-741.〕 and economy.〔Seip, K.L. and R. McNown, The timing and accuracy of leading and lagging business cycle indicators: a new approach. International journal of forecasting, 2007. 22: p. 277-287.〕〔McNown, R. and K.L. Seip, Periods and structural breaks in US economic history 1959-2007: A data driven identification. J. Policy Modelling 2011. 33: p. 169-182.〕
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