Foreword and Introduction M. Matthews. I: Rationales for the Nature of Science in Science Instruction. 1. The Role and Character of the Nature of Science in Science Education W.F. McComas, et al. 2. The Nature of Science in International Science Education Standards Documents W.F. McComas, J.K. Olson. 3. The Principal Elements of the Nature of Science: Dispelling the Myths W.F. McComas. 3. The Principal Elements of the Nature of Science: Dispelling the Myths W.F. McComas. II: Communicating the Nature of Science Plans, Approaches and Strategies. 4. The Card Exchange: Introducing the Philosophy of Science W.W. Cobern, C.C. Loving. 5. Avoiding De-Natured Science: Activities that Promote Understandings of the Nature of Science N. Lederman, F. Abd-El-Khalick. 6. Confronting Students' Conceptions of the Nature of Science with Cooperative Controversy P.L. Hammerich. 7. Nature of Science Activities Using the Scientific Theory Profile: From the Hawking-Gould Dichotomy to a Philosophical Checklist C.C. Loving. 8. Learning by Designing: A Case of Heuristic Theory Development in Science Teaching F. Jansen, P. Voogt. 9. Using Historical Case Studies in Biology to Explore the Nature of Science: A Professional Development Program for High School Teachers K.R. Dawkins, A.A. Glatthorn. 10. A History of Science Approach to the Nature of Science: Learning Science by Rediscovering It N. Kipnis. 11. Integrating the Nature of Science with Student Teaching: Rationales and Strategies M.P. Clough. III: Communicating the Nature of Science Courses and Course Elements. 12. A Thematic Introduction to the Nature of Science for Science Educators W.F. McComas. 13. The Nature of Science: Achieving Science Literacy by Doing Science J.O. Matson, S. Parsons. 14. Elementary Science Methods: Developing and Measuring Student Views about the Nature of Science Y. Meichtry. 15. Nature of Science: Implications for Education: An Undergraduate Course for Prospective Teachers K. Sullenger, S. Turner. 16. The Use of Real and Imaginary Cases in Communicating the Nature of Science: A Course Outline D. Boersema. 17. Teaching the Nature of Science as an Element of Science, Technology and Society B. Spector, et al. 18. Of Starting Points and Destinations: Teacher Education and the Nature of Science M.L. Bentley, S.C. Fleury. 19. A Programme for Developing Understanding of the Nature of Science in Science Teacher Education M. Nott, J. Wellington. 20. The Nature of Science as a Foundation for Teaching Science: Evolution as a Case Study C.E. Nelson, et al. IV: Assessing Nature of Science Understanding. 21. Assessing Understanding of the Nature of Science: A Historical Perspective N. Lederman, et al. Notes on Contributors. Index.
Materials Science Forum (MSF) is a peer-reviewed journal. The journal scope covers all aspects of theoretical, computational and experimental research in the area of materials science. It includes but is not limited to materials synthesis, analysis of materials properties,the technology of materials processing and materials application. Materials Science Forum is one of the largest periodicals in its field. Materials Science Forum specializes on the publication of thematically complete volumes as well as special topic volumes. Publication of stand-alone papers by individual authors is also considered. All published materials are archived with PORTICO and CLOCKSS. Authors retain the right to publish an extended and significantly updated version in another periodical. Note from the Honorary Editor Emeritus Professor Graeme Murch: I can recommend Materials Science Forum as an excellent location for authors to get their papers published in a fast and stream-lined fashion. Abstracted/Indexed in:SCOPUS www.scopus.com.REAXYS www.reaxys.com. Ei Compendex www.ei.org/. Chimica https://www.elsevier.com/solutions/engineering-village/content#chimica. Inspec (IET, Institution of Engineering Technology) www.theiet.org. Chemical Abstracts Service (CAS) www.cas.org. Google Scholar scholar.google.com. GeoRef www.americangeosciences.org/georef. NASA Astrophysics Data System (ADS) http://www.adsabs.harvard.edu/. INIS Atomindex (International Nuclear Information System) https://inis.iaea.org. Cambridge Scientific Abstracts (CSA) www.csa.com. ProQuest www.proquest.com. Ulrichsweb www.proquest.com/products-services/Ulrichsweb.html. EBSCOhost Research Databases www.ebscohost.com/. Zetoc zetoc.jisc.ac.uk. EVISA http://www.speciation.net/Public/Linklists/EVISA.html. Index Copernicus Journals Master List www.indexcopernicus.com. WorldCat (OCLC) www.worldcat.org.
Abstract In this study, we develop a model of science identity to make sense of the science experiences of 15 successful women of color over the course of their undergraduate and graduate studies in science and into science‐related careers. In our view, science identity accounts both for how women make meaning of science experiences and how society structures possible meanings. Primary data included ethnographic interviews during students' undergraduate careers, follow‐up interviews 6 years later, and ongoing member‐checking. Our results highlight the importance of recognition by others for women in the three science identity trajectories: research scientist; altruistic scientist; and disrupted scientist. The women with research scientist identities were passionate about science and recognized themselves and were recognized by science faculty as science people. The women with altruistic scientist identities regarded science as a vehicle for altruism and created innovative meanings of “science,” “recognition by others,” and “woman of color in science.” The women with disrupted scientist identities sought, but did not often receive, recognition by meaningful scientific others. Although they were ultimately successful, their trajectories were more difficult because, in part, their bids for recognition were disrupted by the interaction with gendered, ethnic, and racial factors. This study clarifies theoretical conceptions of science identity, promotes a rethinking of recruitment and retention efforts, and illuminates various ways women of color experience, make meaning of, and negotiate the culture of science. © 2007 Wiley Periodicals, Inc. J Res Sci Teach 44: 1187–1218, 2007
Service science is an emerging discipline concerned with the evolution, interaction, and reciprocal cocreation of value among service systems (Maglio and Spohrer [Maglio, P. P., J. Spohrer. 2008. Fundamentals of Service Science. Journal of the Academy of Marketing Science 36(1) 18–20.]; Spohrer et al. [Spohrer, J., S. Vargo, N. Caswell, P. Maglio. 2008. The Service System is the Basic Abstraction of Service Science. 41st Annual HICSS Conference Proceedings.]). Service-dominant (S-D) logic (Vargo and Lusch [Vargo, S., R. F. Lusch. 2004a. Evolving to a New Dominant Logic for Marketing. Journal of Marketing 68(1) 1–17.] [Vargo, S., R. F. Lusch. 2008. Service-Dominant Logic: Continuing the Evolution. Journal of the Academy of Marketing Science 36(1) 1–10.]) is an alternative to the traditional, goods-dominant (G-D) paradigm for understanding economic exchange and value creation. This service-centered view is based on the idea that service – the application of competences for the benefit of another – is the basis of all exchange. S-D logic has been identified as an appropriate philosophical foundation for the development of service science (Maglio et al. [Maglio, P. P., S. L. Vargo, N. Caswell, J. Spohrer, 2009. The Service System is the Basic Abstraction of Service Science. Information Systems and e-business Management (in press).]). However, perhaps partly because S-D logic is first necessarily encountered through the G-D logic paradigm to which it runs counter, it is sometimes misinterpreted and thus misrepresented. This paper discusses S-D logic as a foundation for service science by reviewing the foundational premises of S-D logic and clarifying several misinterpretations related to (1) the S-D logic meaning of “service,” (2) the role of service in economic exchange, and (3) the nature of value cocreation. Drawing on these clarifications, implications of an S-D logic foundation for service science are proposed. [Service Science, ISSN 2164-3962 (print), ISSN 2164-3970 (online), was published by Services Science Global (SSG) from 2009 to 2011 as issues under ISBN 978-1-4276-2090-3.]
What if Sigmund Freud was onto something that modern neuroscience is only now beginning to explain。 A new paper argues that today's leading theory of the brain—as a prediction machine constantly anticipating the world—closely mirrors ideas psychoanalysis has explored for more than a century
Click to increase image sizeClick to decrease image size Notes 1. H. van Lente, Promising technology. The dynamics of expectations in technological developments, PhD Thesis, University of Twente, Enschede, 1993. 2. M. Michael, Futures of the present: from performativity to prehension, in: N. Brown, B. Rappert & A. Webster (Eds) Contested Futures: A Sociology of Prospective Techno-Science (Aldershot, UK, Ashgate, 2000). 3. M. Sturken, D. Thomas & S. J. Ball-Rokeach (Eds), Technological Visions. The Hopes and Fears that Shape New Technologies (Philadelphia, PA, Temple University Press, 2004). 4. N. Brown, B. Rappert & A. Webster (Eds), Contested Futures: A Sociology of Prospective Techno-Science (Aldershot, UK, Ashgate, 2000). 5. W. Bijker & J. Law (Eds), Shaping Technology/Building Society (Cambridge, MA, MIT Press, 1992); A. Pickering (Ed.), Science as Practice and Culture (Chicago, IL, University of Chicago Press, 1992); B. Latour, Science in Action: How to Follow Scientists and Engineers through Society (Milton Keynes, UK, Open University Press, 1987); J. Law (Ed.), A Sociology of Monsters—Essays on Power, Technology and Domination (London, Routledge, 1991). 6. H. van Lente & A. Rip, Expectations in technological developments: an example of prospective structures to be filled by agency, in: C. Disco & B. van der Meulen (Eds), Getting New Technologies Together. Studies in Making Sociotechnical Order (Berlin, De Gruyter, 1998). 7. J. Guice, Designing the future: the culture of new trends in science and technology, Research Policy, 28, 1999, pp. 81–98. 8. P. Martin, Great expectations: the construction of markets, products and user needs during the early development of gene therapy in the USA, in: R. Coombs, K. Green, A. Richards & V. Walsh (Eds), Technology and the Market: Demand, Users and Innovation (Cheltenham, UK, Edward Elgar, 2001); A. Hedgecoe & P. Martin, The drugs don't work: expectations and the shaping of pharmacogenetics, Social Studies of Science, 33, 2003, pp. 327–364. 9. C. Selin, Time matters: temporal harmony and dissonance in nanotechnology networks, Time & Society, 15, 2006, pp. 121–139. 10. H. Nowotny & U. Felt, After the Breakthrough—the Emergence of High-Temperature Superconductivity as a Research Field (Cambridge, UK, Cambridge University Press, 1997); M. Callon, Variety and irreversibility in networks of technique conception and adoption, in: D. Foray & C. Freeman (Eds), Technology and the Wealth of Nations—The Dynamics of Constructed Advantage (London, Pinter, 1993). 11. Van Lente, op. cit., Ref. 1; Van Lente & Rip, op. cit., Ref. 6; J. Deuten & A. Rip, Narrative infrastructure in product creation processes, Organization, 7, 2000, pp. 69–63; K. Konrad, Prägende Erwartungen—Szenarien als Schrittmacher der Technikentwicklung (Berlin, Edition Sigma, 2004). 12. N. Brown & M. Michael, A sociology of expectations: retrospecting prospects and prospecting retrospects, Technology Analysis and Strategic Management, 15, 2003, pp. 3–18. 13. M. Dierkes, U. Hoffman & L. Maez, Leitbild und Technik: Zur Entstehung und Steuerung technischer Innovationen (Berlin, Edition Sigma, 1992); W. Rammert, Die kulturelle Orientierung der technischen Entwicklung. Eine technikgenetische Perspektive, in: D. Siefkes, P. Eulenhöfer, H. Stach & K. Städtler, (Eds), Sozialgeschichte der Informatik. Soziale Praktiken und Orientierungen (Wiesbaden, Deutscher Universitäts Verlag, 1998); H. D. Hellige, Technikleitbilder auf dem Prüfstand: Leitbild-Assessment aus Sicht der Informatik- und Computergeschichte (Berlin, Edition Sigma, 1996). 14. For example, M. Akrich, The de-scription of technical objects, in: Bijker & Law, op. cit., Ref 5, pp. 205–224; W. B. Carlson, Artifacts and frames of meaning: Thomas A. Edison, his managers, and the cultural construction of motion pictures, in shaping technology/building society, in: Bijker & Law, op. cit., Ref 5; J. Jelsma, Innovating for sustainability: involving users, politics and technology, Innovation, 16, 2003, pp. 103–116; N. Oudshoorn & T. Pinch, How Users Matter: The Co-construction of Users and Technology (Cambridge, MA, MIT Press, 2003). 15. B. De Laat, Scripts for the future: using innovation studies to design foresight tools, in: Brown et al., op. cit., Ref. 4; FORMAKIN, Final Report of the Formakin Project (Foresight as a Tool for the Management of Knowledge Flows and Innovation), York etc.: Science and Technology Studies Unit, University of York, 2001. An EU-TSERP project led by A.Webster, L. Sanz-Menéndez and B. van der Meulen. 16. C. Marvin, When Old Technologies were New (Oxford, Oxford University Press, 1990); M. Levin, When the Eiffel Tower was New: French Visions of Progress at the Centennial of the Revolution (Cambridge, MA, University of Massachusetts Press, 1989). 17. Ibid. 18. R. Kosellek, Futures Past—On the Semantics of Historical Time (Columbia, NY, Columbia University Press, 2004). 19. M. Weber, Politics as a vocation, in: H. Gerth & C. W. Mills (Eds), From Max Weber: Essays in Sociology (London, Routledge and Kegan Paul, 1958), pp. 77–128; G. H. Mead, The Philosophy of the Present (Chicago, IL, Chicago University Press, 1932); A. Schutz, On multiple realities, in: Collected Papers I, The Problem of Social Reality (The Hague, Alfred Schutz, 1962); A. Schutz, Tiresias, or our knowledge of future events, in: Collected Papers II, Studies in Social Theory (The Hague, Alfred Schutz, 1964); M. Emirbayer & A. Mische, What is agency?, American Journal of Sociology, 103(4), 1998, pp. 962–1023. 20. R. K. Merton, Socially expected durations: a case study of concept formation in sociology, in: W. Powell & R. Robbins (Eds), Conflict and Consensus: A Festschrift for L. Coser (New York, Free Press, 1984); B. Adam, Timescapes of Modernity: The Environment and Invisible Hazards (London, Routledge, 1998); B. Adam, Time and Social Theory (Cambridge, Polity, 1990); P. Virilio, The Information Bomb (London, Verso, 2000); P. Virilio, Speed and Politics (Columbia, NY, Columbia University Press, 1986). 21. F. Bartlett, Remembering. A study in Experiential and Social Psychology (Cambridge, UK, Cambridge University Press, 1995); P. Jedlowski, Memory and sociology: themes and issues, Time and Society, 10, 2001, pp. 29–44; M. Halbwacks, La Memoire Collective (Paris, Albin Michel, 1997). 22. J. M. Barbalet, Social emotions: confidence, trust and loyalty, International Journal of Sociology and Social Policy, 16(9/10), 1996, pp. 75–96. 23. R. K. Merton, The self-fulfilling prophecy, The Antioch Review, 8, 1948, pp. 193–210. 24. N. Rosenberg, On technological expectations, The Economic Journal, 86, 1976, pp. 523–535; N. Rosenberg, On technological expectations, in: N. Rosenberg (Ed.), Inside the Black Box: Technology and Economics (Cambridge, UK, Cambridge University Press, 1982), pp. 104–119; C. Antonelli, The role of technological expectations in a mixed model of international diffusion of process innovations: the case of open-end spinning rotors, Research Policy, 18, 1989, pp. 273–288; F. Lissoni, Technological expectations and the diffusion of 'intermediate' technologies, CRIC (Manchester), Working Paper No. 8, August 1999; D. S. Boone, K. N. Lemon & R. Staelin, The impact of firm introductory strategies on consumers' perceptions of future product introductions and purchase decisions, Journal of Product Innovation Management, 18(2), 2001, pp. 96–109. 25. K. Froot, D. Scharfstein & J. Stein, Herd on the street: informational efficiencies in a market with short-term speculation, Journal of Finance, 47, 1992, pp. 1461–1484; S. Bikhchandani & S. Sharma, Herd behavior in financial markets, IMF Staff Papers, 47(3), 2001. 26. R. M. Grant, Contemporary Strategy Analysis, 2nd edn (Oxford, Blackwell, 1995). 27. G. Reger, Technology foresight in companies: from an indicator to a network and process perspective, Technology Analysis & Strategic Management, 13(4), 2001, pp. 533–553. 28. R. Koppl, Big Players and the Economic Theory of Expectations (London, Palgrave, 2002); J. Pixley, Finance organisations, decisions and emotions, British Journal of Sociology, 53(1), 2002, pp. 41–65. 29. De Laat, op. cit., Ref. 15; H.van Lente, From promises to requirement, in: Brown et al., op. cit., Ref. 4. 30. Konrad, op. cit., Ref. 11; Van Lente, op. cit., Ref. 29. 31. F. Geels & W. Smit, Lessons form failed technology futures: potholes in the road to the future', in Ref 4, pp. 881–882. 32. Ibid. 33. N. Luhmann, The modernity of science, New German Critique, 61, Winter 1994, pp. 9–16. 34. Kosellek, op. cit., Ref. 18. 35. J. Mokyr, Evolutionary biology, technological change and economic history, Bulletin of Economic Research, 43(2), 1991, pp. 127–149. 36. N. Brown, Hope against hype: accountability in biopasts, presents and futures, Science Studies, 16(2), 2003, pp. 3–21. 37. Deuten & Rip, op. cit., Ref. 11. 38. Konrad, op. cit., Ref. 11; Brown & Michael, op. cit., Ref. 12. 39. Van Lente, op. cit., Ref. 29. 40. W. Bijker, Of Bicycles, Bakelites, and Bulps—Toward a Theory of Sociotechnical Change (Cambridge, MA, MIT Press, 1995), ch. 5. 41. Brown & Michael, op. cit., Ref. 12. 42. D. MacKenzie, Inventing Accuracy: A Historical Sociology of Nuclear Missile Guidance (Cambridge, MA, MIT Press, 1990). 43. J. Ravetz, What is post-normal science?, Futures, 31, 1999, pp. 647–653. 44. Van Lente, op. cit., Ref. 1; Konrad, this issue. 45. Michael, op. cit., Ref. 2. 46. C. Thompson, The biotech mode of reproduction, Paper prepared for the School of American Research Advanced Seminar 'Animation and Cessation: Anthropological Perspectives on Changing Definitions of Life and Death in the Context of Biomedicine', Santa Fe, New Mexico, 2000. 47. P. Weingart, A. Engels & P. Pansegrau, Risks of communication: discourses on climate change in science, politics, and mass medi, Public Understanding of Science, 9(3), 2000, pp. 261–283. 48. H. Nowotny, P. Scott & M. Gibbons, Re-thinking Science—Knowledge and the Public in an Age of Uncertainty (Cambridge, UK, Polity Press, 2001), p. 232. 49. Brown et al., op. cit., Ref. 4.
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List of illustrations Notes on contributors Preface Introduction: the age of reflexion Part I. Romanticism: 1. Romanticism and the sciences David Knight 2. Schelling and the origins of his Naturphilosophie S. R. Morgan 3. Romantic philosophy and the organization of the disciplines: the founding of the Humboldt University of Berlin Elinor S. Shaffer 4. Historical consciousness in the German Romantic Naturforschung Dietrich Von Engelhardt 5. Theology and the sciences in the German Romantic period Frederick Gregory 6. Genius in Romantic natural philosophy Simon Shaffer Part II. Sciences of the Organic: 7. Doctors contra clysters and feudalism: the consequences of a Romantic revolution Nelly Tsouyopoulos 8. Morphotypes and the historical-genetic method in Romantic biology Timothy Lenoir 9. 'Metaphorical mystifications': the Romantic gestation of nature in British biology Evelleen Richards 10. Transcendental anatomy Philip F. Rehbock 11. Romantic thought and the origins of cell theory L. S. Jacyna 12. Alexander von Humbolt and the geography of vegetation Malcolm Nicholson Part III. Sciences of the Inorganic: 13. Goethe, colour, and the science of seeing Dennis L. Sepper 14. Johann Wilhelm Ritter: Romantic physics in Germany Walter D. Wetzels 15. The power and the glory: Humphrey Davy and Romanticism Christopher Lawrence 16. Oersted's discovery of electromagnetism H. A. M. Snelders 17. Caves, fossils and the history of the earth Nicholas A. Rupke Part IV. Literature and the Sciences: 18. Goethe's use of chemical theory in his Elective Affinities Jeremy Adler 19. Kleist's bedlam: abnormal psychology and psychiatry in the works of Heinrich von Kleist Nigel Reeves 20. Coleridge and the sciences Trevor H. Levere 21. Nature's book: the language of science in the American Renaissance David van Leer 22. The shattered whole: Georg Buchner and Naturphilosophie John Reddick Index.
International Journal of Pharmaceutical Sciences and Research (IJPSR) is an official publication of Society of Pharmaceutical Sciences & Research. It is an open access online and print International Journal published monthly. Website: www.ijpsr.com Projected Impact Factor (2012): 2.44, ICV 2012: 5.50, 2011: 5.07, 2010: 4.57 DOI: 10.13040/IJPSR.0975-8232 SJ Impact Factor (2012): 3.226 Global Impact Factor (2013): 0.533, (2012): 0.452 Indexing - EMBASE- Elsevier's
Abstract Helping students develop informed views of nature of science (NOS) has been and continues to be a central goal for kindergarten through Grade 12 (K–12) science education. Since the early 1960s, major efforts have been undertaken to enhance K–12 students and science teachers' NOS views. However, the crucial component of assessing learners' NOS views remains an issue in research on NOS. This article aims to (a) trace the development of a new open‐ended instrument, the Views of Nature of Science Questionnaire (VNOS), which in conjunction with individual interviews aims to provide meaningful assessments of learners' NOS views; (b) outline the NOS framework that underlies the development of the VNOS; (c) present evidence regarding the validity of the VNOS; (d) elucidate the use of the VNOS and associated interviews, and the range of NOS aspects that it aims to assess; and (e) discuss the usefulness of rich descriptive NOS profiles that the VNOS provides in research related to teaching and learning about NOS. The VNOS comes in response to some calls within the science education community to go back to developing standardized forced‐choice paper and pencil NOS assessment instruments designed for mass administrations to large samples. We believe that these calls ignore much of what was learned from research on teaching and learning about NOS over the past 30 years. The present state of this line of research necessitates a focus on individual classroom interventions aimed at enhancing learners' NOS views, rather than on mass assessments aimed at describing or evaluating students' beliefs. © 2002 Wiley Periodicals, Inc. J Res Sci Teach 39: 497–521, 2002
Abstract One of the most exciting tools that have entered the material science toolbox in recent years is machine learning. This collection of statistical methods has already proved to be capable of considerably speeding up both fundamental and applied research. At present, we are witnessing an explosion of works that develop and apply machine learning to solid-state systems. We provide a comprehensive overview and analysis of the most recent research in this topic. As a starting point, we introduce machine learning principles, algorithms, descriptors, and databases in materials science. We continue with the description of different machine learning approaches for the discovery of stable materials and the prediction of their crystal structure. Then we discuss research in numerous quantitative structure–property relationships and various approaches for the replacement of first-principle methods by machine learning. We review how active learning and surrogate-based optimization can be applied to improve the rational design process and related examples of applications. Two major questions are always the interpretability of and the physical understanding gained from machine learning models. We consider therefore the different facets of interpretability and their importance in materials science. Finally, we propose solutions and future research paths for various challenges in computational materials science.
BACKGROUND: The movement of evidence-based practices (EBPs) into routine clinical usage is not spontaneous, but requires focused efforts. The field of implementation science has developed to facilitate the spread of EBPs, including both psychosocial and medical interventions for mental and physical health concerns. DISCUSSION: The authors aim to introduce implementation science principles to non-specialist investigators, administrators, and policymakers seeking to become familiar with this emerging field. This introduction is based on published literature and the authors' experience as researchers in the field, as well as extensive service as implementation science grant reviewers. Implementation science is "the scientific study of methods to promote the systematic uptake of research findings and other EBPs into routine practice, and, hence, to improve the quality and effectiveness of health services." Implementation science is distinct from, but shares characteristics with, both quality improvement and dissemination methods. Implementation studies can be either assess naturalistic variability or measure change in response to planned intervention. Implementation studies typically employ mixed quantitative-qualitative designs, identifying factors that impact uptake across multiple levels, including patient, provider, clinic, facility, organization, and often the broader community and policy environment. Accordingly, implementation science requires a solid grounding in theory and the involvement of trans-disciplinary research teams. The business case for implementation science is clear: As healthcare systems work under increasingly dynamic and resource-constrained conditions, evidence-based strategies are essential in order to ensure that research investments maximize healthcare value and improve public health. Implementation science plays a critical role in supporting these efforts.
Identifying fundamental drivers of science and developing predictive models to capture its evolution are instrumental for the design of policies that can improve the scientific enterprise-for example, through enhanced career paths for scientists, better performance evaluation for organizations hosting research, discovery of novel effective funding vehicles, and even identification of promising regions along the scientific frontier. The science of science uses large-scale data on the production of science to search for universal and domain-specific patterns. Here, we review recent developments in this transdisciplinary field.
Volume 1 1. Introduction Willis F. Overton and Peter C. M. Molenaar 2. Relational Developmental Systems and Developmental Science Willis F. Overton 3. Dynamic Systems and Developmental Science David C. Witherington 4. The Dynamic Development of Thinking, Feeling, and Acting: Infancy through Adulthood Michael F. Mascolo and Kurt W. Fischer 5. Biology, Development, and Human Systems| Robert Lickliter and Hunter Honeycutt 6. Human Evolution and Development: An Ethological Perspective Patrick Bateson 7. Neuroscience, Embodiment, and Development Peter J. Marshall 8. The Development of Agency Bryan W. Sokol, Stuart Hammond, Janet Kuebli, and Leah Sweetman 9. Dialectical Models of Socialization Leon Kuczynski and Jan De Mol 10. Human Development and Culture: Conceptual and Methodological Issues Jayanthi Mistry and Ranjana Dutta 11. Emotional Development and Consciousness Michael Lewis 12. Personal and Cultural Identities: Development and Persistence Michael J. Chandler and William L. Dunlop 13. Moral Development Elliot Turiel 14. Development and Self-Regulation Megan M. McClelland, G. John Geldhof, Claire E. Cameron, and Shannon B. Wanless 15. Developmental Psychopathology E. Mark Cummings and Kristin Valentino 16. Positive Youth Development: A Relational Developmental Systems Model Richard M. Lerner, Jacqueline V. Lerner, Edmond Bowers, and G. John Geldhof 17. Systems Methods for Developmental Research Peter C. M. Molenaar and John R. Nesselroade 18. Neuroscientific Methods with Children Michelle de Haan 19. Qualitative/Mixed Models Patrick H. Tolan, Steven M. Boker, and Nancy L. Deutsch 20. Growth Curve Modeling and Longitudinal Factor Analysis Nilam Ram and Kevin J. Grimm 21. Person-Oriented Methodological Approaches in Developmental Science Alexander von Eye, Lars R. Bergman, and Chueh-An Hsieh Volume 2 1. Introduction Lynn S. Liben and Ulrich M. Muller 2. Brain and Cognitive Development Joan Stiles, Timothy T. Brown, Frank Haist, and Terry L. Jernigan 3. Perceptual Development Scott P. Johnson and Erin E. Hannon 4. Motor development Karen Adolph 5. Attentional Development: The past, the present, and the future Jelena Ristic and James T. Enns 6. The Development of Symbolic Representation Tara Callaghan and John Corbit 7. Conceptual Development Vladimir Sloutsky 8. Language Development Brian MacWhinney 9. Early Literacy Christopher J. Lonigan 10. Nonverbal Communication: The Hand s Role in Talking and Thinking Susan Goldin-Meadow 11. Development of executive function Ulrich Muller and Kimberly Kerns 12. Development of Reasoning Robert B. Ricco 13. An Adaptive View of Memory Development Mark L. Howe 14. The Development of Mathematical Reasoning Terezinha Nunes and Peter Bryant 15. Development of spatial cognition Lynn Liben and Roger Downs 16. The Development of Play Angeline S. Lillard 17. The Developmental Psychology of Time Teresa McCormack 18. Development of scientific thinking Richard Lehrer and Leona Schauble 19. Artistic Development in the Visual Arts and Music Constance Milbrath, Gary McPherson, and Margaret Osborne 20. Cognitive Development through Media Daniel R. Anderson and Heather L. Kirkorian 21. The Development of Social Understanding Jeremy I. M. Carpendale and Charlie Lewis 22. Cognition in developing social identities and beliefs Rebecca Bigler 23. Gender Development from a Social-Cognitive Perspective Campbell Leaper 24. Cognitive Development in the Context of Culture Mary Gauvain and Susan Perez 25. Atypical Cognitive Development Bruce F. Pennington Volume 3 1. Unraveling the Processes that Underlie Social, Emotional, and Personality Development: A Preliminary Survey of the Terrain Michael E. Lamb 2. Measuring Socio-emotional Behavior and Development Celia A. Brownell, Elizabeth A. Lemerise, Kevin A. Pelphrey, and Glenn I. Roisman 3. The Prenatal Environment and its Implications for Development: An Evolutionary David A. Coall, Anna Callan, Thomas E. Dickins, and James S. Chisholm 4. Psychoneuroendocrinology of Stress: Normative Development and Individual Differences Megan R. Gunnar, Jenalee R. Doom, and Elisa A. Esposito 5. Temperament and Personality Xinyin Chen and Louis A. Schmidt 6. Relationships, Regulation, and Early Development Ross A. Thompson 7. Resilience in the Face of Adversities Suniya S. Luthar, Elizabeth J. Crossman, and Phillip J. Small 8. Socio-emotional consequences of illness and disability Keith Crnic and Cameron Neece 9. The Implications of Discrimination for Child and Adolescent Development Amy K. Marks, Kida Ejesi, Mary Beth McCullough, and Cynthia Garcia Coll 10. Race, class and ethnicity as they affect emergent adulthood Vonnie McLoyd, Kelly M. Purtell, and Cecily R. Hardaway 11. Socio-emotional Development in Changing Family Contexts Susan Golombok and Fiona Tasker 12. Children and the Law Michael E. Lamb, Lindsay C. Malloy, Irit Hershkowitz, and David La Rooy 13. A Multilevel Perspective on Child Maltreatment Dante Cicchetti and Sheree L. Toth 14. Individual Differences in Theory of Mind: A Social Perspective Claire Hughes and Rory T. Devine 15. Prosocial Development Nancy Eisenberg, Tracy L. Spinrad, & Ariel Knafo 16. Development of Achievement Motivation and Engagement Allan Wigfield, Jacquelynne S. Eccles, Jennifer Fredricks, Sandra Simpkins, Robert Roeser, and Ulrich Schiefele 17. Morality: Origins and Development Melanie Killen and Judith G. Smetana 18. Conceptualizing the Self: Contributions of Normative Human Processes, Diverse Contexts and Opportunity Margaret Beale Spencer, Dena Phillips Swanson, and Vinay Harpalani 19. Aggressive and Violent Behavior Manuel Eisner and Tina Malti 20. Gendered development Melissa Hines 21. The Development of Sexuality Lisa M. Diamond, Susan B. Bonner, and Janna A. Dickenson 22. Friendships, Romantic Relationships, and Other Dyadic Peer Relationships in Childhood and Adolescence: A Unified Relational Perspective Wyndol Furman and Amanda J. Rose 23. The Nature and Functions of Religious and Spiritual Development in Childhood and Adolescence Pamela Ebstyne King and Chris J. Boyatzis Volume 4 1. Children in Bioecological Landscapes of Development Marc H. Bornstein and Tama Leventhal 2. Human Development in Time and Place Glen H. Elder, Jr., Michael J. Shanahan, and Julia A. Jennings 3. Children and their Parents Marc H. Bornstein 4. Children in Diverse Families Lawrence Ganong, Marilyn Coleman, and Luke Russell 5. Children in Peer Groups Kenneth H. Rubin, William M. Bukowski, and Julie Bowker 6. Early Child Care and Education Margaret Burchinal, Katherine Magnuson, Douglas Powell, and Sandra Soliday Hong 7. Children at School Robert Crosnoe and Aprile D. Benner 8. Children s Organized Activities Deborah Lowe Vandell, Reed W. Larson, Joseph L. Mahoney, and Tyler W. Watts 9. Children at Work Jeremy Staff, Arnaldo Mont'Alvao, and Jeylan T. Mortimer 10. Children and Digital Media Sandra L. Calvert 11. Children in Diverse Social Contexts Velma McBride Murry, Nancy E. Hill, Dawn Witherspoon, Cady Berkel, and Deborah Bartz 12. Children s Housing and Physical Environments Robert H. Bradley 13. Children in Neighborhoods Tama Leventhal, Veronique Dupere, and Elizabeth Shuey 14. Children and Socioeconomic Status Greg J. Duncan, and Katherine Magnuson, and Elizabeth Votruba-Drzal 15. Children in Medical Settings Barry Zuckerman and Robert D. Keder 16. Children and the Law Elizabeth Cauffman, Elizabeth Shulman, Jordan Bechtold, and Laurence Steinberg 17. Children and Government Kenneth A. Dodge and Ron Haskins 18. Children in War and Disaster Ann S. Masten, Angela J. Narayan, Wendy K. Silverman, and Joy D. Osofsky 19. Children and Cultural Context Jacqueline J. Goodnow and Jeanette A. Lawrence 20. Children in History Peter N. Stearns 21. Assessing Children from a Bioecological Perspective Theodore D. Wachs
R.J. Larsen, M. Eid, Ed Diener and the Science of Subjective Well-Being. Part 1. The Realm of Subjective Well-Being. D.M. Haybron, Philosophy and the Science of Subjective Well-Being. R. Veenhoven, Sociological Theories of Subjective Well-Being. S.E. Hill, D.M. Buss, Evolution and Subjective Well-Being. D.M. McMahon, The Pursuit of Happiness in Human History. Part 2. Measuring Subjective Well-Being. U. Schimmack, The Structure of Subjective Well-Being. W. Pavot, The Assessment of Subjective Well-Being: Successes and Shortfalls. M. Eid, Measuring the Immeasurable: Psychometric Modeling of Subjective Well-Being Data. Part 3. The Happy Person. R.E. Lucas, Personality and Subjective Well-Being. J.T. Cacioppo, L.C. Hawkley, A. Kalil, M.E. Hughes, L. Waite, R.A. Thisted, Happiness and the Invisible Threads of Social Connection: The Chicago Health, Aging, and Social Relations Study. M.D. Robinson, R.J. Compton, The Happy Mind in Action: The Cognitive Basis of Subjective Well-Being. F. Fujita, The Frequency of Social Comparison and Its Relation to Subjective Well-Being. R.J. Larsen, Z. Prizmic, Regulation of Emotional Well-Being: Overcoming the Hedonic Treadmill. S. Oishi, M. Koo, Two New Questions about Happiness: Is Happiness Good? and Is Happier Better? R.M. Biswas-Diener, Material Wealth and Subjective Well-Being. D.G. Myers, Religion and Human Flourishing. Part 4. Subjective Well-Being in the Interpersonal Domain. M.L. Diener, M. Diener McGavran, Makes People Happy? A Developmental Approach to the Literature on Family Relationships and Well-Being. E.S. Huebner, C. Diener, Research on Life Satisfaction of Children and Youth: Implications for the Delivery of School-Related Services. T.A. Judge, R. Klinger, Job Satisfaction: Subjective Well-Being at Work. E.M. Suh, J. Koo, Comparing Subjective Well-Being across Cultures and Nations: The What and Why Questions. Part 5. Making People Happier. L.A. King, Intervention for Enhancing Subjective Well-Being: Can We Make People Happier, and Should We? B.L. Fredrickson, Promoting Positive Affect. R.A. Emmons, Gratitude, Subjective Well-Being, and the Brain. Part 6. Conclusions and Future Directions. E. Diener, Myths in the Science of Happiness, and Directions for Future Research.
A newly proposed quantum sensing technique could make it much easier to identify one of physics’ newest and most intriguing classes of magnets: altermagnets。 These unusual materials, discovered only a few years ago, appear to combine the speed and efficiency of antiferromagnets with some of the useful electronic properties of traditional magnets, m
Scientists are calling for a lunar quarantine facility where samples from Mars, the Moon, and beyond would be examined before being brought to Earth。 They warn that even a tiny alien microorganism could have unpredictable effects on Earth's ecosystems。 By using robotic handling systems on the Moon, researchers hope to eliminate the risk of accident
A new AI-powered framework could transform how astronomers measure the expansion of the Universe。 By analyzing images of Type Ia supernovae and modeling their environments in unprecedented detail, researchers can estimate cosmic distances with near-spectroscopic accuracy。 The technique is designed for the flood of data expected from the upcoming Ve