Home - The Warren Center for Network and Data Sciences

Time 2020-09-12 01:05:23

Web Name: Home - The Warren Center for Network and Data Sciences

WebSite: http://warrencenter.upenn.edu

ID:43818

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The Warren Center for Network & Data Sciences fosters research and innovation in interconnected social, economic and technological systems. The Warren Center for Network & Data Sciences@WarrenCntrPenn 10 Sep“We are excited to use our PennAI software for this project,” said Warren Center affiliate @moorejh. “It can be installed locally at each site and used to generate machine learning models for predicting COVID-19 outcomes such as death or disease severity.” https://www.pennmedicine.org/news/news-releases/2020/august/penn-medicine-helps-power-international-covid-19-data-consortiumRetweet on TwitterThe Warren Center for Network & Data Sciences RetweetedPenn@Penn 8 SepFeatured in a recent episode of the podcast @TheOfficialACM ByteCast, Kristian Lum of @PennEngineers discussed her path to Penn and her previous work at a statistician at the @hrdag. https://bit.ly/3k39rMJ Retweet on TwitterThe Warren Center for Network & Data Sciences RetweetedGad Allon@g_allon 8 SepMy recent post on Amazon’s Last Mile Investment: Integrating the supply chain https://gadallon.substack.com/p/amazons-last-mile-investment-integrating?r=zgog&utm_campaign=post&utm_medium=web&utm_source=twitterThe Warren Center for Network & Data Sciences@WarrenCntrPenn 8 SepWarren Center affiliate @DaniSBassett is pioneering a new subfield that dives deeper into the connection between the brain's form and function: network neuroscience. https://www.wired.com/story/a-radical-new-model-of-the-brain-illuminates-its-wiring/ The Warren Center for Network & Data Sciences is an incubator of forward-thinking research, culturally impactful innovation, and potent interdisciplinary collaboration that challenges how the world views technology. High-caliber faculty members from across The University of Pennsylvania have a place to centralize, share and develop their wide range of approaches to network science – from economics to sociology to cryptography and more. Here, the brightest data-centric minds at Penn spearhead collaborative research projects, generating collective solutions from once disparate schools of thought. The Warren Center is a part of The University of Pennsylvania School of Engineering and Applied Science Read our Mission Statement Warren Center Affiliate Profile- Kristian Lum Although statistics is not a field typically associated with social impact, Kristian Lum uses her expertise in statistical and machine learning models to address important societal issues and hopes to amplify the voices of less powerful groups and individuals in conversations about technology that affects them. Computer and Information Science caret-arrow Social Norms for Algorithms Boosting the promise — and reining in the peril — of Covid-19 preprints Preprints are all the rage today among scientists conducting research on issues related to COVID-19 diagnosis, treatment, and vaccine development, however, Jonathan Moreno cautions that preliminary, minimally reviewed information about COVID-19 is spreading as fast as the virus itself. History and Sociology of Science Medical Ethics and Health Policy Philosophy caret-arrow Consensus and Contagion in Society Forging a Resilient Supply Chain in the Era of COVID-19 Gad Allon has crafted a new Wharton Executive Education virtual program, Designing and Managing Supply Chains for the Future. The program teaches how to create strong, nimble, resilient supply chains that can weather the current crisis as well as future shocks. Operations Information and Decisions caret-arrow Resilience in Networked Systems How Starbucks Came a Long Way on Customer Centricity In the newest edition of Peter Fader’s book “Customer Centricity,” he describes how Starbucks has pivoted to become a more customer-centric company in the eight years since the book was first published. Marketing caret-arrow Ubiquity of Data Wharton/USC Collaborative Plays Key Role in Greece s COVID-19 Response Hamsa Bastani joined USC Marshall faculty to create a machine learning platform that algorithmically automates the process of vetting the COVID-19 risk of incoming tourists through all ports of entry in Greece. Operations Information and Decisions caret-arrow Consensus and Contagion in Society

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