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| 2. |
- Gerlee, Philip, 1980, et al.
(författare)
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Scientific Models : Red Atoms, White Lies and Black Boxes in a Yellow Book
- 2016
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- A zebrafish, the hull of a miniature ship, a mathematical equation and a food chain - what do these things have in common? They are examples of models used by scientists to isolate and study particular aspects of the world around us. This book begins by introducing the concept of a scientific model from an intuitive perspective, drawing parallels to mental models and artistic representations. It then recounts the history of modelling from the 16th century up until the present day. The iterative process of model building is described and discussed in the context of complex models with high predictive accuracy versus simpler models that provide more of a conceptual understanding. To illustrate the diversity of opinions within the scientific community, we also present the results of an interview study, in which ten scientists from different disciplines describe their views on modelling and how models feature in their work. Lastly, it includes a number of worked examples that span different modelling approaches and techniques. It provides a comprehensive introduction to scientific models and shows how models are constructed and used in modern science. It also addresses the approach to, and the culture surrounding modelling in different scientific disciplines. It serves as an inspiration for model building and also facilitates interdisciplinary collaborations by showing how models are used in different scientific fields. The book is aimed primarily at students in the sciences and engineering, as well as students at teacher training colleges but will also appeal to interested readers wanting to get an overview of scientific modelling in general and different modelling approaches in particular.
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| 3. |
- Gerlee, Philip, 1980, et al.
(författare)
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Scientific Models
- 2016
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- A zebrafish, the hull of a miniature ship, a mathematical equation and a food chain - what do these things have in common? They are examples of models used by scientists to isolate and study particular aspects of the world around us. This book begins by introducing the concept of a scientific model from an intuitive perspective, drawing parallels to mental models and artistic representations. It then recounts the history of modelling from the 16th century up until the present day. The iterative process of model building is described and discussed in the context of complex models with high predictive accuracy versus simpler models that provide more of a conceptual understanding. To illustrate the diversity of opinions within the scientific community, we also present the results of an interview study, in which ten scientists from different disciplines describe their views on modelling and how models feature in their work. Lastly, it includes a number of worked examples that span different modelling approaches and techniques. It provides a comprehensive introduction to scientific models and shows how models are constructed and used in modern science. It also addresses the approach to, and the culture surrounding modelling in different scientific disciplines. It serves as an inspiration for model building and also facilitates interdisciplinary collaborations by showing how models are used in different scientific fields. The book is aimed primarily at students in the sciences and engineering, as well as students at teacher training colleges but will also appeal to interested readers wanting to get an overview of scientific modelling in general and different modelling approaches in particular.
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| 4. |
- Hallquist, Mattias, 1969, et al.
(författare)
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Photochemical smog in China: scientific challenges and implications for air-quality policies
- 2016
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Ingår i: National Science Review. - : Oxford University Press (OUP). - 2095-5138 .- 2053-714X. ; 3:4, s. 401-403
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Tidskriftsartikel (refereegranskat)abstract
- In large areas of China severe air pollution events pose a significant threat to human health, ecosystems and climate. Current reduction of primary emissions will also affect secondary pollutants such as ozone (O3) and particulate matter (PM), but the magnitude of the effects is uncertain. Major scientific challenges are related to the formation of O3 and secondary particulate matter including Secondary Organic Aerosols (SOA). Large uncertainties also remain regarding the interactions of soot, SOA and O3 under the influence of different SO2, NOX and VOC concentrations. To improve the understanding of these secondary atmospheric interactions in China, scientific areas of central importance for photochemically induced air pollutants have been identified. In addition to the scientific challenges, results from research need to be synthesized across several disciplines and communicated to stakeholders affected by air pollution and to policy makers responsible for developing abatement strategies. Development of these science-policy interactions can benefit from experience gained under the UN ECE Convention on Long Range Transboundary Air Pollution (LRTAP)
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| 5. |
- Mamontov, Eugen, 1955
(författare)
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Ordinary differential equation system for population of individuals and the corresponding probabilistic model
- 2008
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Ingår i: Mathl. Computer Modelling. - : Elsevier BV. - 0895-7177.
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Tidskriftsartikel (refereegranskat)abstract
- The key model for particle populations in statistical mechanics is the Bogolyubov–Born– Green–Kirkwood–Yvon (BBGKY) equation chain. It is derived mainly from the Hamilton ordinary differential equation (ODE) system for the vectors of the particle states in the particle position-momentum phase space. Many problems beyond physics or chemistry, for instance, in the living-matter sciences (biology, medicine, ecology, and scoiology) make it necessary to extend the notion of a particle to an individual, or active particle. This challenge is met by the generalized kinetic theory. It implements the extension by extending the phase space from the space of the position-momentum vectors to more rich spaces formed by the state vectors with the entries which need not be limited to the entries of the position and momentum: they include other scalar variables (e.g., those associated with modelling homeorhesis or other features inherent to the individuals). One can assume that the dynamics of the state vector in the extended space, i.e. the states of the individuals (rather than common particles) is also described by an ODE system. The latter, however, need not be the Hamilton one. The question is how one can derive the analogue of the BBGKY paradigm for the new settings. The present work proposes an answer to this question. It applies a very limited number of carefully selected tools of probability theory and common statistical mechanics. It in particular uses the well-known feature that the maximum number of the individuals which can mutually interact simultaneously is bounded by a fixed value of a few units. The present approach results in the finite system of equations for the reduced many-individual distribution functions thereby eliminating the so-called closure problem inevitable in the BBGKY theory. The thermodynamic-limit assumption is not needed either. The system includes consistently derived terms of all of the basic types known in kinetic theory, in particular, both the “mean-field” and scattering-integral terms, and admits the kinetic equation of the form allowing a direct chemical-reaction reading. The present approach can deal with Hamilton’s equation systems which are nonmonogenic and not treated in statistical mechanics. The proposed modelling suggests the basis of the generalized kinetic theory and may serve as the stochastic mechanics of population of individuals.
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| 7. |
- Farewell, Anne, 1961
(författare)
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Rising to the Top: Promoting Deeper Learning in the Laboratory
- 2018
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Ingår i: National Center for Case Study Teaching in Science.
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Bokkapitel (refereegranskat)abstract
- Inquiry-based labs differ from cookbook labs in that inquiry-based labs contain an element of experimentation. A cookbook lab can be performed by a student without understanding any of the theory connected with the exercise whereas inquiry-based labs require a degree of conceptual knowledge for a student to perform the lab. Inquiry-based labs also strengthen and deepen students understanding of topics discussed in lectures or reading assignments. There are many variations and degrees of inquiry in these labs ranging from a lab that is entirely designed by the students to those that include small questions requiring that the students predict the outcomes of a lab or fill in missing information (guided inquiry). A simple specific example of a cookbook lab would be instructing students to measure volume changes between ice and liquid water. The students would be given step by step instructions to follow and would not need to apply any conceptual knowledge. An inquiry based lab on the same topic would allow the students to design their own experiment to discover how the volume of liquid water differs from that of ice. One goal of this activity is to introduce inquiry-based lab design. Beyond lab design, lab supervision is crucial to encouraging students to use their conceptual knowledge when doing a practical lab. Lab assistants or teachers who are involved in the lab can use student questions to encourage deeper understanding. This case study includes a role-play exercise for this skill. This case study has been designed to be used in science education courses for both graduate student laboratory assistants and lecturers or professors in natural sciences at the university or college level. It includes discussion and role-play of a hypothetical laboratory. No specific knowledge of biology or chemistry is needed beyond high school level to complete this task, though knowledge of the existence of microorganisms (yeast) and proteins is assumed. In addition, this activity is suitable for participants with little or no pedagogics training.
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| 8. |
- Gerlee, Philip, 1980, et al.
(författare)
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Vetenskapliga modeller : Svarta lådor, röda atomer och vita lögner
- 2012
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- Vad har en zebrafisk, ett fartygsskrov i miniatyr, en matematisk ekvation och en näringskedja gemensamt? De är alla exempel på vetenskapliga modeller som används inom dagens forskning för att beskriva vår omvärld och gör det möjligt för forskare att isolera och i detalj studera ett visst fenomen. Boken inleds med att introducera begreppet på ett intuitivt plan, genom att dra paralleller till mentala modeller och konstnärliga representationer, och fortsätter med en historisk tillbakablick som sträcker sig från 1600-talet till nutid. Vi diskuterar också den iterativa konstruktionsprocessen och balansen mellan enkelhet och komplexitet som den innebär, vilket i sin tur är kopplat till avvägningen mellan en förklarande modell och en förutsägande. För att belysa skillnader mellan olika synsätt på modeller presenteras också en intervjustudie där forskare från tio stycken forskningsfält beskriver sin relation till modeller. Avslutningsvis innehåller boken ett kapitel där typiska modeller från flera discipliner beskrivs i detalj. Syftet med denna bok är att ge en övergripande introduktion till vetenskapliga modeller och visa hur modeller är uppbyggda samt hur de används inom vetenskapligt arbete. Vi hoppas också att den kan tjäna som inspiration till nya modeller och även underlätta det interdisciplinära samtalet. Boken vänder sig i första hand till studenter på landets ingenjörs- och naturvetarprogram samt till studenter på lärarhögskolorna, men även till dig som har ett vetenskapligt intresse och vill få en översikt av modellering i stort och olika modelleringstraditioner i synnerhet.
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| 9. |
- Gerlee, Philip, 1980, et al.
(författare)
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Vetenskapliga modeller
- 2012
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- Vad har en zebrafisk, ett fartygsskrov i miniatyr, en matematisk ekvation och en näringskedja gemensamt? De är alla exempel på vetenskapliga modeller som används inom dagens forskning för att beskriva vår omvärld och gör det möjligt för forskare att isolera och i detalj studera ett visst fenomen.Boken inleds med att introducera begreppet på ett intuitivt plan, genom att dra paralleller till mentala modeller och konstnärliga representationer, och fortsätter med en historisk tillbakablick som sträcker sig från 1600-talet till nutid. Vi diskuterar också den iterativa konstruktionsprocessen och balansen mellan enkelhet och komplexitet som den innebär, vilket i sin tur är kopplat till avvägningen mellan en förklarande modell och en förutsägande. För att belysa skillnader mellan olika synsätt på modeller presenteras också en intervjustudie där forskare från tio stycken forskningsfält beskriver sin relation till modeller. Avslutningsvis innehåller boken ett kapitel där typiska modeller från flera discipliner beskrivs i detalj.Syftet med denna bok är att ge en övergripande introduktion till vetenskapliga modeller och visa hur modeller är uppbyggda samt hur de används inom vetenskapligt arbete. Vi hoppas också att den kan tjäna som inspiration till nya modeller och även underlätta det interdisciplinära samtalet.Boken vänder sig i första hand till studenter på landets ingenjörs- och naturvetarprogram samt till studenter på lärarhögskolorna, men även till dig som har ett vetenskapligt intresse och vill få en översikt av modellering i stort och olika modelleringstraditioner i synnerhet.
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| 10. |
- Jagers, Peter, 1941
(författare)
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Branching Processes: A Personal Historical Perspective.
- 2020
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Ingår i: Statistical Modeling for Biological Systems: In Memory of Andrei Yakovlev. - Cham : Springer International Publishing.
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The chapter, based on an Oberwolfach talk, gives a - personally biased - sketch of the development of branching processes, from the mid 19th Century to recently, emphasizing relations to bioscience and demography, and to society and culture in general.
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