C. Michael Barton - US grants
Affiliations: | Anthropology | Arizona State University, Tempe, AZ, United States |
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The funding information displayed below comes from the NIH Research Portfolio Online Reporting Tools and the NSF Award Database.The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
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High-probability grants
According to our matching algorithm, C. Michael Barton is the likely recipient of the following grants.Years | Recipients | Code | Title / Keywords | Matching score |
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2000 — 2004 | Macminn-Barton, E Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University With National Science Foundation support Dr. Michael Barton and his team of international collaborators will excavate four prehistoric (Mesolithic and Neolithic) settlements in upland valleys of the Rio Serpis, a major drainage system in Alciante province of Spain. The goal of the work is to understand the transition from a hunting and gathering to an agricultural subsistence mode and the project builds on nearly a decade of prior research, primarily in the form of intensive, landscape oriented archaeological survey. Excavations will take place over the course of two summer field seasons, each focusing on one hunting and gathering (Mesolithic) and one agricultural (Neolithic) site. Each site will be grided and surface artifacts systematically collected. Surface artifact densities and features will be used to create a sampling design and an integrated field strategy using auger coring, backhoe trenching and hand excavation will be employed to acquire information about the density and distribution of cultural materials (including artifacts, floral and faunal remains) features, paleoenvironmental indicators and radiocarbon samples. GIS databases will be developed. In conjunction with regional data this information will be used to reconstruct changes in subsistence, social and spatial organization over time. The team will also examine the effect of these behavioral changes on the landscape. |
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2004 — 2010 | Fall, Patricia (co-PI) [⬀] Falconer, Steven (co-PI) [⬀] Barton, C Michael Arrowsmith, J Ramon (co-PI) [⬀] Sarjoughian, Hessam (co-PI) [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University All of modern society depends ultimately on the products of agriculture and animal herding. When this agropastoral economy first appeared in the Mediterranean basin in the early Holocene, nearly 10,000 years ago, it represented a dramatic reorganization of human ecology. It involved increasingly intensive efforts by farming peoples to control environmental factors favorable to the life cycle of domestic plants and animals, with a consequent cascade of complexly interlinked effects on regional landscapes and human society. Agropastoral land use remains the most significant way in which humans impact natural landscapes, and the recursive social effects of these impacts are important global issues. However, landscape evolution takes place over the course of decades, centuries, and even millennia. Even the loss of a landscape's ability to support a people and their subsistence economy is often the result of longer-term changes that are most apparent at the resolution of the prehistoric record. Only by studying this long-term record can people truly begin to appreciate the real consequences of past and present land-use decisions on earth's landscapes and society and use this understanding to make more informed decisions today. The longest and best-studied record of the ways in which human activities have transformed the world is found in the Mediterranean Basin, encompassing both the earliest known agricultural land use and the earliest civilizations to become dependent on these human-managed socioecosystems. Decades of intensive study by archaeologists, geoscientists, and ecologists have amassed rich and diverse data about human-environmental interaction in this region. This interdisciplinary research project will integrate this information with recent advances in geospatial modeling and agent simulation to create a natural laboratory for investigating the long-term social and ecological consequences of alternate land-use practices. In this project, the modeling laboratory will be used to study (1) the effects the of growth in agropastoral systems on biodiversity; (2) the changing impacts of land-use intensification and diversification on landscapes, their resilience, and vulnerability to degradation; and (3) the long-term sustainability of human maintained socioecosystems in varying environmental and social contexts. The study will focus on two ecologically diverse regions at opposite ends of the Mediterranean Basin, eastern Spain and the southern Levant in Jordan. These two regions encompass much of the social and natural variability of the entire Mediterranean Basin. |
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2005 — 2006 | Clark, Geoffrey (co-PI) [⬀] Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University With NSF funding and under the supervision of Dr. C. Michael Barton and Dr. Geoffrey A. Clark, Julien Riel-Salvatore will investigate the archeology of the last Neanderthals and the first modern humans in southern Italy. This region, known as the Mezzogiorno, constituted a stable, relatively isolated geographical area during the Late Pleistocene, and has yielded cave sites containing Mousterian, Uluzzian, and Aurignacian archaeological assemblages. The first two industries are thought to have been the handiwork of Neanderthals, while the Aurignacian is more recent and usually attributed to the first modern humans of the Italian peninsula. The archaeological investigation will focus on stone tool technology and economic behavior to test the proposition that the Aurignacian represented a fundamentally different adaptation than either of the earlier industries, and to highlight the unique features of the Uluzzian which was made by some of the last Neanderthals. Stone tools, the most durable and abundant facet of the archaeological record, will be studied to reconstruct land-use patterns and lithic resource utilization, and a study of the patterns of utilization of given rock outcrops will be undertaken to reconstruct the three industries' geographical and social landscapes. A comprehensive radiocarbon dating program will furnish a timeline for the arrival of the Aurignacian in the area and gauge the pace of cultural change during that period, while paleoenvironmental reconstruction based on magnetic susceptibility will test the potential correlation of this arrival with an episode of climatic deterioration. |
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2006 — 2010 | Janssen, Marco (co-PI) [⬀] Barton, C Michael Alessa, Lilian |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University This project establishes a consortium in the social and natural sciences for facilitating agent based modeling (ABM) of socioecological dynamics. This organization will serve the scientific community as a framework for collaboration and interdisciplinary research, emphasizing the complex interactions between humans and the environment. A workshop, to be held in early 2007 will bring together leading and innovative practitioners of ABM research in social and natural sciences to organize the consortium, using successful examples of community frameworks for cybertool development in other research domains. Invited participants span a wide range of scientists employing ABM in socio-ecological research and ABM platform developers. The workshop will be followed by a pilot project to develop and evaluate a suite of resources that will help consortium members -- and practitioners in the social and natural sciences more broadly -- make more effective use of advanced ABM simulation protocols in ongoing and planned research. These resources include an archive of agent based models and library of ABM components that can be used by researchers to initiate new modeling efforts and assist peer-review of publications of research involving ABM; a server for collaborative development of better ABM interfaces and cybertools to improve the usability and usefulness of ABM for socioecological research (e.g., concurrent version server, or cvs); and a testbed of standard data for developing model evaluation protocols. The consortium also will promote a community-wide set of best practices for model dissemination and frameworks for model interchange, and initiate a training program in ABM aimed at social and natural scientists. |
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2009 — 2011 | Schmich, Steven (co-PI) [⬀] Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University This project is a case study designed to identify the dynamics of local subsistence adaptations to the climate-induced environmental transformation of the Pleistocene-Holocene transition. Set in the Mediterranean region of southeast Spain, it includes two systematic archaeological surveys and the geochemical analysis of stone tools collected during the past decade of archaeological research in the study area. The surveys sample the sources of raw material, from which stone tools were made, along three natural corridors connecting major ecological zones from the Mediterranean coast through the mountains to Spain's interior plain and establish the archaeological presence or absence of late Pleistocene human groups where the natural corridors intersect the interior plain. Each survey is the first of its kind in the region. Two previous pilot projects leading to the current dissertation project have helped pioneer the use of Proton Induced X-ray Emission (PIXE) analysis to produce quantifiable geochemical signatures from stone tools and the raw material used to make them. Geochemical signatures are used here to link archaeological sites on a chronological scale, to track the movement and land-use patterns of human groups, and to establish the economic territories of groups with access to specific raw material sources. |
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2009 — 2016 | Janssen, Marco (co-PI) [⬀] Barton, C Michael Alessa, Lilian |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Cnh: Rcn: a Research Network For Computational Modeling in the Socioecological Sciences @ Arizona State University This project establishes a scientific research collaboration network to support and expand the development and use of computational modeling in the social and life sciences. The COMSES (COmputational Modeling for SocioEcological Science) network aims to be broadly inclusive of social and natural scientists using (and desiring to use) advanced modeling to study coupled natural and human, or 'socioecological systems' (SES). |
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2013 — 2018 | Barton, C Michael | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University Within the next three decades, climate variability, climate change and global development trends could have varied and profound effects on human well-being, especially in the developing world. Understanding how human and earth system trajectories will interact is essential to making better decisions that can reduce negative consequences for society and ecosystems. Research related to climate impacts has traditionally been separated into a number of poorly coordinated tasks, with independent models and research groups developing a) socio-economic development pathways, b) emissions and land use scenarios, c) land cover projections, d) climate simulations, and e) impact assessments. This disjointed approach has led to inconsistencies in assumptions across different components of the problem, lack of incorporation of feedbacks, unmanaged uncertainty propagation, and introduction of errors when upscaling or downscaling information across components. |
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2013 — 2018 | Heimsath, Arjun Barton, C Michael Sarjoughian, Hessam (co-PI) [⬀] Riel-Salvatore, Julien (co-PI) [⬀] Acevedo, Miguel |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Cnh: the Emergence of Coupled Natural and Human Landscapes in the Western Mediterranean @ Arizona State University The Mediterranean region has one of the longest histories of intensive human use of any part of the world. In some areas, this has led to severe environmental degradation; in other areas, productive landscapes of farms, pastures, towns, and natural areas have been maintained for thousands of years. This project will collect archeological data on ancient human land use, vegetation, and land form at four Neolithic sites in Spain and Italy. These data will guide the development of models of social and natural processes that will attempt to predict the long-term outcomes of alternative patterns of land use. The predictions will be checked against new knowledge of what has actually happened over centuries of use. Based on these checks, the models will be refined to simulate the feedbacks through which human decisions are affected by land cover and terrain, vegetation is affected by land use and landscape change, and the land surface and soils are affected by land cover and use. |
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2014 — 2017 | Barton, C Michael | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Did: Mining Relationships Among Variables in Large Datasets From Complex Systems (Miracle) @ Arizona State University Some of the most pressing questions for social scientists -- ranging from efforts to better understand the interactions between humans and the environment to predicting how an aging population will impact the US and global economy -- require making sense of large amounts of data. As a result, social scientists are increasingly using new computational modeling methods to explore the dynamics and consequences of human interactions. These new methods, including agent-based models, provide ways to explore research questions that cannot be investigated using traditional statistical approaches. But appropriate methods to mine, analyze, and synthesis large-scale complex model output data in order to answer social science research questions are still lacking. Traditional analysis methods are designed for data that are linear, continuous, and normally distributed, while data from models of complex socio-ecological systems are non-linear, discontinuous, and power-law distributed. In this project, the researchers seek to address these challenges by developing, applying, and disseminating an integrated environment for analysis and visualization of data generated by complex systems models. An important broader impact is that the research will lead to tools that will allow stakeholders, policy makers, and the general public to explore, interact with, and provide feedback on otherwise difficult-to-understand models. |
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2014 — 2016 | Barton, C Michael Buja, Lawrence Galvin, Kathleen Alessa, Lilian Feddema, Johannes |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Building Capacity For 21st Century Social Sciences; Washington, D.C., Spring, 2015 @ Arizona State University This workshop will bring together experts to address a national program of capacity building for dynamic and transformed social sciences. It responds to a growing need across multiple scientific disciplines, policy making institutions, and private enterprise for a richer understanding of complex human social systems. Such a program will provide a more thorough scientific assessment of risks and uncertainties in social policies, including unexpected and, especially, undesirable policy consequences. It will also help to better anticipate the potential for rapid and disruptive change (i.e., tipping points and phase changes) that are characteristic of complex systems. Building significant capacity in transdisciplinary science, and employing advanced technologies to understand the dynamics of human society, will promote United States leadership in basic and applied research on the social dimensions of the grand challenges we face in the twenty-first century. |
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2015 — 2017 | Swantek, Laura Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Doctoral Dissertation Improvement Grant: the Emergence of Social Complexity in Small Scale Societies @ Arizona State University The development of social and economic control that leads to inequalities in the distribution of wealth within human societies has been a central theme in understanding how people live. Because archaeology provides a long-term view of past societies, and how they become more or less socially complex through time, it is well suited to provide insight into this phenomenon that occurs within human groups. Using innovative research techniques, Laura Swantek along with colleagues at Arizona State University will undertake research on this process, specifically focusing on understanding how some societies become more complex over time, others do not change, and still others cycle between high and low levels of complexity. Changes in complexity, such as those described here, can be seen today in parts of the world where social and economic changes occur within generations. Understanding what people did in their everyday lives that cause changes in social complexity in the past, will provide insight into how this process occurs today across our changing world. |
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2015 — 2017 | Cegielski, Wendy Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Doctoral Dissertation Improvement Grant: Mechanisms For Long Term Maintenance of Social Stability @ Arizona State University This project will examine mechanisms of social stability and the reasons why some social systems resist change. Social stability, or the persistence of social systems, is a fundamental feature without which human society is not possible. Understanding contexts and processes that resist change and that maintain social stability is crucial to predicting and managing the effects of the intensity and pace of change of the modern world. Previous scholarship has shown that social stability is not an inherent property of a social system and cannot be defined simply as the absence of change but must be explained. Social stability is embedded over time through the cumulative social dependencies created between individuals who choose to form a relationship. The peculiar formations of these dependencies result in different levels of social cohesion, akin to "social glue", that act to promote or thwart social stability. Since the embedding of social stability is a cumulative process that plays out through time, archaeology is uniquely positioned with an established corpus of tools and the long-term perspective necessary to problematize social stability, to establish contexts in which societies resist change, good or bad, and ultimately to understand how, why, and when social transformation does or does not take place. |
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2016 — 2018 | Snitker, Grant Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Doctoral Dissertation Improvement Award: the Role of Fire in Long Term Human Niche-Construction @ Arizona State University Nearly a century of fire prevention and suppression in the United States has resulted, counterintuitively, in larger, more frequent wildfires with negative impacts on natural, cultural, and recreational resources. In response, new research focuses on alternative ways to manage the lasting effects of fire, rather than prevent it. To understand the role of fire in modern ecosystems, the long-term history of human influence on fire regimes and biome productivity must be considered. Archaeological and paleoecological research demonstrates that humans have intentionally set fires for millennia to transform the arrangement and diversity of resources within their landscape, with global consequences for terrestrial and atmospheric systems. Anthropogenic fire, meaning fire intentionally set and controlled by humans, has played a vital role in transforming and maintaining agricultural landscapes. Consequently, the beginning of agriculture often coincides with changes in fire frequency and vegetation communities. This project combines multi-dimensional research on anthropogenic burning with archaeological measures of prehistoric agricultural land-use to investigate the origins and evolution of Neolithic (7,700-4,500 cal. BP) agricultural landscapes in three case study areas in eastern Spain. |
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2016 — 2019 | Buetow, Kenneth Janssen, Marco (co-PI) [⬀] Lee, Allen (co-PI) [⬀] Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University Norms of transparency and knowledge sharing in science encourage new research to build on prior discoveries, leading to rapid innovation and significant societal returns. This project establishes a new activity to help make scientific computation and data science more transparent and accessible. Computation has evolved from tools for assisting scientific research to digital laboratories where fundamental scientific discoveries take place. This is increasingly so for social and ecological sciences, which are combining big data with computational models to better understand the social and earth systems whose complex dynamics underlie many of the grand challenges faced by humanity today. Organized as a Spoke in the National Science Foundation's Big Data Innovation Hub and Spoke network, this project establishes a next generation, online Computational Model Library (CMLX). |
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2021 — 2026 | Buetow, Kenneth Janssen, Marco (co-PI) [⬀] Lee, Allen (co-PI) [⬀] Bergin, Sean Barton, C Michael |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University This project is designed to support and advance next generation, interdisciplinary science of the complexly interacting societal and natural processes that are critical to human life and well-being. Computational models are powerful scientific tools for understanding these coupled social-natural systems and forecasting their future conditions for evidenced-based planning and policy-making. This project is led by the Network for Computational Modeling in Social and Ecological Sciences (CoMSES.Net). CoMSES.Net's science gateway promotes knowledge sharing among scientists and with the general public, and enables open, online access to sophisticated computational models of social and ecological systems. CoMSES.Net's partners in this project (the Community Surface Dynamics Modeling System and Consortium of Universities for the Advancement of Hydrologic Science) also enable knowledge sharing and provide open, online repositories of models in the earth sciences. This project will enhance these science gateways and create online educational materials to make these critical technologies easier to find, understand, and use for scientists and non-scientists alike. By integrating innovative technology with training and incentives to engage in best practice standards, this project will stimulate innovation and diversity in modeling science. It will enable researchers to build on each other's work and combine it in new ways to address societal and environmental challenges. The cybertools and educational programs developed in the project will be openly accessible not just to research institutions but also to smaller colleges, state and local governments, and a broader audience beyond the science community. The project will give decision-makers and the data scientists who support them access to a larger and more varied toolkit with which to explore potential solutions to societal and environmental policy issues. A long-term aim of the project is to support an evolving ecosystem of diverse, reusable, and combinable models that are transparently accessible to anyone in the world. Sustainable planetary care and management is a challenge that confronts all of humanity, and requires knowledge, histories, methods, perspectives, and engagement of researchers, decision-makers, and private citizens across the country and throughout the world. |
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2022 — 2027 | Barton, C Michael | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ Arizona State University This project explores how a portfolio of combined climate intervention strategies including mitigation, carbon dioxide removal, and solar radiation management could achieve a climate-resilient future. The focus is on scientific research activities concerned with climate outcomes that are responsive to the priorities and needs of diverse stakeholder groups. The convergent team encompasses experts from climate science, engineering, behavioral science and ecology. This interdisciplinary team will work to transform the climate interventions research landscape, moving it to more integrated approaches for research and assessments. This will be achieved through the establishment of a shared conceptual and theoretical framework for scenario generation, model application, impact assessment and stakeholder translation.<br/><br/>The project has three main objectives: 1) Advancing state-of-science climate intervention studies through exploring the assumptions, model deficiencies, interactions, and impact assessment methods of a portfolio of climate intervention scenarios consistent with keeping warming within 1.5 degrees C from CMIP6 baseline pathways, with the climate intervention scenarios based on methods already developed by the project investigators; 2) Developing an approach for co-production of modeling products from Earth system evaluations through extensive stakeholder engagement to further actionable research into combined climate intervention scenarios and their evaluation; and 3) Designing scenario and impact assessment toolkits for the wider community to engage in investigating intervention strategies that are responsive to their unique information needs and priorities through the extension of and adaptation of the co-designed scenarios and assessment frameworks.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. |
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