第57行: |
第57行: |
| There are 40 swarma scientists in total. All of them are young Chinese scientists all around the world. We list 6 swarma scientists in below(需要调整). | | There are 40 swarma scientists in total. All of them are young Chinese scientists all around the world. We list 6 swarma scientists in below(需要调整). |
| | | |
− | ==== W. Brian Arthur[编辑 | 编辑源代码] ==== | + | ==== W. Brian Arthur ==== |
| [[文件:Brain-Arthur.png|缩略图|150x150像素]] | | [[文件:Brain-Arthur.png|缩略图|150x150像素]] |
| * W. Brian Arthur is a renowned economist, an external professor at the Santa Fe Institute, and a visiting fellow at the Palo Alto Research Center Systems Science Laboratory. In the 1980s, Arthur was invited by Nobel laureate in economics Kenneth Arrow to the newly established Santa Fe Institute. At the Santa Fe Institute, Arthur combined complex systems theory with economic research to develop the concept of "complexity economics", and won the Schumpeter Prize in 1990 for his theory of increasing returns. As the proposer of the theory of increasing returns, Arthur created a new model for interdisciplinary research into economics and complex systems. As one of the first scholars to study complexity at the Santa Fe Institute, Arthur was one of the founders of the field of complexity science and was awarded the inaugural Lagrange Prize in complexity science in 2008 for his outstanding achievements. | | * W. Brian Arthur is a renowned economist, an external professor at the Santa Fe Institute, and a visiting fellow at the Palo Alto Research Center Systems Science Laboratory. In the 1980s, Arthur was invited by Nobel laureate in economics Kenneth Arrow to the newly established Santa Fe Institute. At the Santa Fe Institute, Arthur combined complex systems theory with economic research to develop the concept of "complexity economics", and won the Schumpeter Prize in 1990 for his theory of increasing returns. As the proposer of the theory of increasing returns, Arthur created a new model for interdisciplinary research into economics and complex systems. As one of the first scholars to study complexity at the Santa Fe Institute, Arthur was one of the founders of the field of complexity science and was awarded the inaugural Lagrange Prize in complexity science in 2008 for his outstanding achievements. |
第63行: |
第63行: |
| * Main contributions: Guest speaker of the AI&Society Activity:Where is technology taking the economy? | | * Main contributions: Guest speaker of the AI&Society Activity:Where is technology taking the economy? |
| | | |
− | ==== José Lobo[编辑 | 编辑源代码] ==== | + | ==== José Lobo ==== |
| [[文件:Jose Lobo.png|缩略图|150x150像素]] | | [[文件:Jose Lobo.png|缩略图|150x150像素]] |
| * José Lobo is an Associate Fellow at the School of Sustainable Development at Arizona State University, a scientist at the Julie Ann Wrigley Institute for Global Sustainability, and a member of the Santa Fe Institute's Sustainability for Cities, Scale Research Group. His research topics cover the theory of scale from early human communities to ancient cities to modern urban systems, as well as the nature and drivers of human invention, in particular how urban environments inhabit the formation of technological and cultural innovations. He is one of the leading researchers in urban science and has published several important papers in top journals such as PNAS and Nature Human Behaviour. | | * José Lobo is an Associate Fellow at the School of Sustainable Development at Arizona State University, a scientist at the Julie Ann Wrigley Institute for Global Sustainability, and a member of the Santa Fe Institute's Sustainability for Cities, Scale Research Group. His research topics cover the theory of scale from early human communities to ancient cities to modern urban systems, as well as the nature and drivers of human invention, in particular how urban environments inhabit the formation of technological and cultural innovations. He is one of the leading researchers in urban science and has published several important papers in top journals such as PNAS and Nature Human Behaviour. |
第69行: |
第69行: |
| * Main contributions: Guest speaker of the AI&Society Activity:AI,Cities and the Future of Labor Tasks, Occupations and Networks。 | | * Main contributions: Guest speaker of the AI&Society Activity:AI,Cities and the Future of Labor Tasks, Occupations and Networks。 |
| | | |
− | ==== James Evans[编辑 | 编辑源代码] ==== | + | ==== James Evans ==== |
| [[文件:James A. Evans.png|缩略图|150x150像素]] | | [[文件:James A. Evans.png|缩略图|150x150像素]] |
| * James Evans is a professor of sociology at the University of Chicago and a world-renowned scholar of science of science, complex networks, and the sociology of knowledge. A graduate of Stanford University, he has conducted research on the structure of social organization at Harvard University, founded the Knowledge Mining Laboratory at the University of Chicago, and founded and chaired the Master of Computing Sociology program at the University of Chicago. His main interests include: group intelligence, social organization structure analysis, the generation and dissemination of scientific and technological innovation, etc., and has published a large number of articles in top journals such as Science, PNAS, American Journal of Sociology, Management Science and so on. | | * James Evans is a professor of sociology at the University of Chicago and a world-renowned scholar of science of science, complex networks, and the sociology of knowledge. A graduate of Stanford University, he has conducted research on the structure of social organization at Harvard University, founded the Knowledge Mining Laboratory at the University of Chicago, and founded and chaired the Master of Computing Sociology program at the University of Chicago. His main interests include: group intelligence, social organization structure analysis, the generation and dissemination of scientific and technological innovation, etc., and has published a large number of articles in top journals such as Science, PNAS, American Journal of Sociology, Management Science and so on. |
第77行: |
第77行: |
| ** Scholar of Study Camp | | ** Scholar of Study Camp |
| | | |
− | ==== Geoffrey West[编辑 | 编辑源代码] ==== | + | ==== Geoffrey West ==== |
| [[文件:Geoffrey West.png|缩略图|150x150像素]] | | [[文件:Geoffrey West.png|缩略图|150x150像素]] |
| * Geoffrey West, theoretical physicist, leading scholar of urban science, distinguished professor and former director of the Santa Fe Institute, was named one of Time Magazine's 100 Most Influential People in the World. Decades of research work on "scale", his research results have been applied to the understanding of life, urban sustainable development, business operations and many other fields, and are regarded as the "interdisciplinary Nobel Prize" in the industry. | | * Geoffrey West, theoretical physicist, leading scholar of urban science, distinguished professor and former director of the Santa Fe Institute, was named one of Time Magazine's 100 Most Influential People in the World. Decades of research work on "scale", his research results have been applied to the understanding of life, urban sustainable development, business operations and many other fields, and are regarded as the "interdisciplinary Nobel Prize" in the industry. |
第83行: |
第83行: |
| * Guest speaker of the AI&Society Activity:The future of the planet-life, growth and death in organisms, cities&companies | | * Guest speaker of the AI&Society Activity:The future of the planet-life, growth and death in organisms, cities&companies |
| | | |
− | ==== Douglas, R. Hofstadter[编辑 | 编辑源代码] ==== | + | ==== Douglas, R. Hofstadter ==== |
| [[文件:侯世达-Douglas, R.Hofstadter.png|缩略图|150x150像素]] | | [[文件:侯世达-Douglas, R.Hofstadter.png|缩略图|150x150像素]] |
| * Douglas, R. Hofstadter is Distinguished Professor of Cognitive Science and Comparative Literature at Indiana University, a Fellow of the American Academy of Arts and Sciences, a Member of the American Philosophical Society, and a Fellow of the Royal Swedish Academy of Social Sciences. His research interests include: the relationship of the self to the outside world, consciousness, analogies, artistic creation, literary translation, mathematics and physics. In addition to his academic achievements, He has published 《Gödel, Escher, Bach: an Eternal Golden Braid》 and 《I Am a Strange Loop》, which won the Pulitzer Prize for Literature (nonfiction), the National Book Award (Science), and the Los Angeles Times Science Writing Book Award, respectively. | | * Douglas, R. Hofstadter is Distinguished Professor of Cognitive Science and Comparative Literature at Indiana University, a Fellow of the American Academy of Arts and Sciences, a Member of the American Philosophical Society, and a Fellow of the Royal Swedish Academy of Social Sciences. His research interests include: the relationship of the self to the outside world, consciousness, analogies, artistic creation, literary translation, mathematics and physics. In addition to his academic achievements, He has published 《Gödel, Escher, Bach: an Eternal Golden Braid》 and 《I Am a Strange Loop》, which won the Pulitzer Prize for Literature (nonfiction), the National Book Award (Science), and the Los Angeles Times Science Writing Book Award, respectively. |
第89行: |
第89行: |
| * Guest speaker of the AI&Society Activity:Human creativity vs artificial intelligence. | | * Guest speaker of the AI&Society Activity:Human creativity vs artificial intelligence. |
| | | |
− | ==== Ginestra Bianconi[编辑 | 编辑源代码] ==== | + | ==== Ginestra Bianconi ==== |
| [[文件:Ginestra Bianconi.png|缩略图|150x150像素]] | | [[文件:Ginestra Bianconi.png|缩略图|150x150像素]] |
| Ginestra Bianconi is Professor of Applied Mathematics at queen Mary University of London's School of Mathematical Sciences and an Alan Turing Fellow at the Ellen Turing Institute. Currently, she is the editor-in-chief of the journal JPhys Complex and the editor of PlosOne and Scientific Reports. In 2020, she was awarded the Network Scientific Fellowships by the NetSci Society in recognition of her fundamental contributions to network science, particularly the proposal of Bose-Einstein cohesiveness in complex networks and advances in the structure and dynamics of multilayer networks. Her research interests include statistical mechanics and network science, including network theory and its interdisciplinary applications. She is an expert in network modeling, including growth network models and balanced networking. He has also published important works on dynamic processes on the Web, particularly on seepage. In recent years, she has focused on multilayer networks, pure complexes, network geometry, and topology. She is the author of two books, 《Multilayer Networks: Structure and Function 》published by Oxford University Press and 《Higher-order networks: An introduction to simplicial complexes》 published by Cambridge University Press. | | Ginestra Bianconi is Professor of Applied Mathematics at queen Mary University of London's School of Mathematical Sciences and an Alan Turing Fellow at the Ellen Turing Institute. Currently, she is the editor-in-chief of the journal JPhys Complex and the editor of PlosOne and Scientific Reports. In 2020, she was awarded the Network Scientific Fellowships by the NetSci Society in recognition of her fundamental contributions to network science, particularly the proposal of Bose-Einstein cohesiveness in complex networks and advances in the structure and dynamics of multilayer networks. Her research interests include statistical mechanics and network science, including network theory and its interdisciplinary applications. She is an expert in network modeling, including growth network models and balanced networking. He has also published important works on dynamic processes on the Web, particularly on seepage. In recent years, she has focused on multilayer networks, pure complexes, network geometry, and topology. She is the author of two books, 《Multilayer Networks: Structure and Function 》published by Oxford University Press and 《Higher-order networks: An introduction to simplicial complexes》 published by Cambridge University Press. |
第95行: |
第95行: |
| Main contribution: Guest speaker of the High-Order networks reading group :Higher-order networks and dynamics. | | Main contribution: Guest speaker of the High-Order networks reading group :Higher-order networks and dynamics. |
| | | |
− | ==== Erik Hoel[编辑 | 编辑源代码] ==== | + | ==== Erik Hoel ==== |
| [[文件:Erik Hoel.png|缩略图|150x150像素]] | | [[文件:Erik Hoel.png|缩略图|150x150像素]] |
| Ph.D., University of Wisconsin-Madison, Assistant Professor at Tufts University, Theoretical Neuroscientist at Columbia University, and one of the proposers of the causal emergence theory. He is committed to using information theory and causal analysis to explore the biological basis of consciousness and to understand the nature of emergence. The research questions are how to use complexity and information theory to measure the neural differences between consciousness and unconsciousness, how causal structure changes across scales, and how information theory indicators capture and quantify causal emergence on macroscopic scales. | | Ph.D., University of Wisconsin-Madison, Assistant Professor at Tufts University, Theoretical Neuroscientist at Columbia University, and one of the proposers of the causal emergence theory. He is committed to using information theory and causal analysis to explore the biological basis of consciousness and to understand the nature of emergence. The research questions are how to use complexity and information theory to measure the neural differences between consciousness and unconsciousness, how causal structure changes across scales, and how information theory indicators capture and quantify causal emergence on macroscopic scales. |
第101行: |
第101行: |
| Main contribution: Guest speaker of the Causal Emergence reading group :Causal Emergence Theory. | | Main contribution: Guest speaker of the Causal Emergence reading group :Causal Emergence Theory. |
| | | |
− | ==== Chen Deliang[编辑 | 编辑源代码] ==== | + | ==== Chen Deliang ==== |
| Chen Deliang is currently the August Röhss Chair Professor at the University of Gothenburg in Sweden, where he graduated from Nanjing University with a bachelor's degree and received his Ph.D. from Nobel laureate Professor Paul Crutzen at Gutenberg University in Mainz, Germany. Professor Chen's research interests include climate dynamics, climate simulation, global and regional climate change, geographic information science and applied climatology. | | Chen Deliang is currently the August Röhss Chair Professor at the University of Gothenburg in Sweden, where he graduated from Nanjing University with a bachelor's degree and received his Ph.D. from Nobel laureate Professor Paul Crutzen at Gutenberg University in Mainz, Germany. Professor Chen's research interests include climate dynamics, climate simulation, global and regional climate change, geographic information science and applied climatology. |
| | | |
第110行: |
第110行: |
| Main contribution: Guest speaker of the Earth System Science reading group :A brief history of Earth system science and its major challenges. | | Main contribution: Guest speaker of the Earth System Science reading group :A brief history of Earth system science and its major challenges. |
| | | |
− | ==== Zhou Changsong[编辑 | 编辑源代码] ==== | + | ==== Zhou Changsong ==== |
| Dr. Changsong Zhou, Professor and Head, Department of Physics, Director of Centre for Nonlinear Studies, Deputy Director of Institute of Computational and Theoretical Studies, Hong Kong Baptist University (HKBU). He obtained his PhD degree at Nankai University, and served as Postdoctoral Fellow at National University of Singapore (1997-1999), Visiting Research Scholar at HKBU (1999-2000) and Humboldt Research Fellow and Research Scientist at University of Potsdam, Germany (2000-2007). He joined HKBU as Assistant Professor in 2007 and received HKBU President’s Award for Outstanding Young Researcher 2011 and President’s Award for Outstanding Performance in Scholarly Work 2021. Dr. Zhou’s research interest is dynamical processes on complex systems. His current emphasis is on analysis and modeling connectivity and activity in neural systems in collaboration with experimental neuroscientists, using the approaches of oscillatory dynamics networks and covering broad scales from network of excitatory-inhibitory neurons to interacting functional brain regions and functional EEG and cognitive variability and disorders. He has published over 150 research papers in interdisciplinary journalssuch as PNAS, PRL, National Science Review, J Neuroscience, NeuroImage, Cerebral Cortex, PLoS Computational Biology (above15900 citations in Google Scholar, h-index 48). He currently serves as Academic Editors of ''Scientific Reports'', ''PLoS One'' and ''Cognitive Neurodynamics''. | | Dr. Changsong Zhou, Professor and Head, Department of Physics, Director of Centre for Nonlinear Studies, Deputy Director of Institute of Computational and Theoretical Studies, Hong Kong Baptist University (HKBU). He obtained his PhD degree at Nankai University, and served as Postdoctoral Fellow at National University of Singapore (1997-1999), Visiting Research Scholar at HKBU (1999-2000) and Humboldt Research Fellow and Research Scientist at University of Potsdam, Germany (2000-2007). He joined HKBU as Assistant Professor in 2007 and received HKBU President’s Award for Outstanding Young Researcher 2011 and President’s Award for Outstanding Performance in Scholarly Work 2021. Dr. Zhou’s research interest is dynamical processes on complex systems. His current emphasis is on analysis and modeling connectivity and activity in neural systems in collaboration with experimental neuroscientists, using the approaches of oscillatory dynamics networks and covering broad scales from network of excitatory-inhibitory neurons to interacting functional brain regions and functional EEG and cognitive variability and disorders. He has published over 150 research papers in interdisciplinary journalssuch as PNAS, PRL, National Science Review, J Neuroscience, NeuroImage, Cerebral Cortex, PLoS Computational Biology (above15900 citations in Google Scholar, h-index 48). He currently serves as Academic Editors of ''Scientific Reports'', ''PLoS One'' and ''Cognitive Neurodynamics''. |
| | | |