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DESCRIPTION:Distinctions Among Causation in Neuroscience and Biology: A The
 oretical Framework to Support Smart Sciences for Real-World Transformation
 \n\nDr. Lauren N. Ross\n\nUniversity of California\, Irvine\n\nWith a high
 -level panel of leaders in science\, technology\, on-the-ground action\, i
 nvestment\, and policy\n\nRegister & watch webinar\n\nAre there different 
 types of causation in neuroscience and biology? What does such a view enta
 il and does scientific work in these fields support it? Answers to these q
 uestions should rely on rigorous definitions of causation\, but they shoul
 d also capture the diversity and complexity of causal systems in the world
 . This talk explores distinctions among causation in these sciences and it
  provides a theoretical framework for addressing these questions. In captu
 ring distinctions among causation - sometimes referred to as causal divers
 ity and causal pluralism - three types of claims should be distinguished. 
 These concern whether there are different: (1) definitions of causation (2
 ) methods used to establish causation\, and (3) causal structures in the w
 orld\, which are not tied to differences in defining causality. Separating
  these claims can help researchers examine (i) whether causality is define
 d in different ways in their field\, (ii) if so\, whether this is problema
 tic or not\, (iii) how methods for establishing causality relate to defini
 tions of it\, and (iv) how some types of causal diversity reflect differen
 t causal structures\, as opposed to different definitions of causation. Th
 is framework is draws on mainstream philosophical accounts of causation an
 d examples of causal reasoning in neuroscience and biology.\n\nAbout the s
 peaker\n\nLauren N. Ross\, MD\, PhD is an Associate Professor in Logic and
  Philosophy of Science at UC Irvine. Her research concerns causal reasonin
 g and explanation in neuroscience and biology. A significant amount of her
  research explores causal diversity - different types of causes\, causal r
 elationships\, and causal systems present in scientific contexts. This res
 earch has focused on causal systems such as mechanisms\, pathways\, and ca
 scades\, and causal relationships that differ with respect to their stabil
 ity\, specificity\, and reversibility. Her work identifies the features ch
 aracteristic of these causal systems and their implications for how these 
 systems are studied and how they behave. Ross’s research has received a Na
 tional Science Foundation (NSF) CAREER award\, a Humboldt Experienced Rese
 archer Fellowship\, and an Editor’s Choice Award at The British Journal fo
 r the Philosophy of Science.\n\nAbout the series\n\nThe Precision Converge
 nce series is launched to catalyze unique synergy between\, on the one han
 d\, novel partnerships across sciences\, sectors and jurisdictions around 
 targeted domains of real-world solutions\, and on the other hand\, a next 
 generation convergence of AI with advanced research computing and other da
 ta and digital architectures such as PSC’s Bridges-2\, and supporting data
  sharing frameworks such as HuBMAP\, informing in a real time as possible 
 the design\, deployment and monitoring of solutions for adaptive real-worl
 d behavior and context.\n\nThe Precision Convergence Webinar Series is co-
 hosted by The McGill Centre for the Convergence of Health and Economics (M
 CCHE) at McGill University and The Pittsburgh Supercomputing Center\, a jo
 int computational research center between Carnegie Mellon University and t
 he University of Pittsburgh.\n\n \n
DTSTART:20220623T150000Z
DTEND:20220623T170000Z
SUMMARY:MCCHE Precision Convergence Webinar Series with Dr. Lauren N. Ross
URL:https://www.mcgill.ca/channels/channels/event/mcche-precision-convergen
 ce-webinar-series-dr-lauren-n-ross-339850
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