Browsing Tetherless World Publications by Author "Erickson, John S."

Now showing items 1-20 of 37

    • Characterizing Common Quarterly Behaviors In DeFi Lending Protocols 

      Green, Aaron; Giannattasio, Michael; Wang, Keran; Erickson, John S.; Seneviratne, Oshani; Bennett, Kristin P. (Springer, Cham., 2023-07)
      The emerging decentralized financial ecosystem (DeFi) is comprised of numerous protocols, one type being lending protocols. People make transactions in lending protocols, each of which is attributed to a specific blockchain ...

    • Eat4Genes: A Bioinformatic Rational Gene Targeting App and Prototype Model for Improving Human Health 

      Ford, M.L.; Cooley, J.M.; Sripada, V.; Erickson, John S.; Bennett, Kristin P.; Crawford, Dana R. (Frontiers in Nutrition, 2023-05-04)
      Eat4Genes is a prototype diet recommendation web app for patients, healthcare providers, and researchers that aids in the selection of a healthy diet to help treat and prevent numerous health conditions. Our approach is ...

    • Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter 

      Sanders, Abraham; Ray-Majumder, Debjani; Erickson, John S.; Bennett, Kristin P. (Association for Computing Machinery, New York, NY, USA, 2022-07-01)
      The way people respond to messaging from public health organizations on social media can provide insight into public perceptions on critical health issues, especially during a global crisis such as COVID-19. It could be ...

    • DeFi Survival Analysis: Insights into Risks and User Behavior 

      Green, Aaron; Cammilleri, Christopher; Erickson, John S.; Seneviratne, Oshani; Bennett, Kristin P. (Springer, 2022-06)
      We propose a decentralized finance (DeFi) survival analysis approach for discovering and characterizing user behavior and risks in lending protocols. We demonstrate how to gather and prepare DeFi transaction data for ...

    • A Mathematics Pipeline to Student Success in Data Analytics through Course-Based Undergraduate Research 

      Bennett, Kristin P.; Erickson, John S.; Svirsky, Amy; Seddon, Josephine (The Mathematics Enthusiast, 2021-12-16)
      This paper reports on Data Analytics Research (DAR), a course-based undergraduate research experience (CURE) in which undergraduate students conduct data analysis research on open real- world problems for industry, university, ...

    • The Problem of Fairness in Synthetic Healthcare Data 

      Bhanot, Karan; Qi, Miao; Erickson, John S.; Guyon, Isabelle; Bennett, Kristin P. (Entropy (Basel, Switzerland), 2021-09)
      Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder the reproducibility of existing results based on private ...

    • Temporal Analysis of Social Determinants Associated with COVID-19 Mortality 

      Debopadhaya, Shayom; Erickson, John S.; Bennett, Kristin P. (2021-06)
      This study examines how social determinants associated with COVID-19 mortality change over time. Using US county-level data from July 5 and December 28, 2020, the effect of 19 high-risk factors on COVID-19 mortality rate ...

    • Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse 

      Sanders, Abraham; White, R. C.; Severson, L. S.; Ma, R.; McQueen, R.; Alcântara Paulo, H. C.; Zhang, Y.; Erickson, John S.; Bennett, Kristin P. (AMIA, 2021-05)
      In this exploratory study, we scrutinize a database of over one million tweets collected from March to July 2020 to illustrate public attitudes towards mask usage during the COVID-19 pandemic. We employ natural language ...

    • A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation 

      Santos, Henrique; Mulvehill, Alice; Erickson, John S.; McCusker, Jamie; Gordon, Minor; Xie, Owen; Stouffer, Samuel; Capraro, Gerard; Pidwerbetsky, Alex; Burgess, John; Berlinsky, Allan; Turck, Kurt; Ashdown, Jonathan; McGuinness, Deborah L. (2020)
      Because radio spectrum is a finite resource, its usage and sharing is regulated by government agencies. These agencies define policies to manage spectrum allocation and assignment across multiple organizations, systems, ...

    • Automating Population Health Studies through Semantics and Statistics Semantic Statistics (SemStats) 

      New, Alexander; Qi, Miao; Chari, Shruthi; Rashid, Sabbir; Seneviratne, Oshani; McCusker, Jamie; Erickson, John S.; McGuinness, Deborah L.; Bennett, Kristin P. (Springer, 2019-10)
      With the rapid development of the Semantic Web, machines are able to understand the contextual meaning of data, including in the field of automated semantics-driven statistical reasoning. This paper introduces a ...

    • Semantically-targeted analytics for reproducible scientific discovery 

      New, Alexander; Chari, Shruthi; Qim, Miao; Rashid, Sabbir; Erickson, John S.; McGuinness, Deborah L.; Bennett, Kristin P. (2019-05-13)
      We develop a semantics-driven, automated approach for dynamically performing rigorous scientific studies. This framework may be applied to a wide variety of data and study types; here, we demonstrate its suitability for ...

    • Identifying Windows of susceptibility by temporal Gene Analysis 

      Bennett, Kristin P.; Brown, Elisabeth; De Los Santos, Hannah; Poegel, Matt; Kiehl, Thomas; Patton, Evan; Norris, Spencer; Temple, Sally; Erickson, John S.; McGuinness, Deborah L.; Boles, Nathan (Scientific Reports, 2019-02-01)
      Increased understanding of developmental disorders of the brain has shown that genetic mutations, environmental toxins and biological insults typically act during developmental windows of susceptibility. Identifying these ...

    • Semantically-aware population health risk analyses 

      New, Alexander; Rashid, Sabbir; Erickson, John S.; McGuinness, Deborah L.; Bennett, Kristin P. (arXiv, 2018-11-27)
      One primary task of population health analysis is the identification of risk factors that, for some subpopulation, have a significant association with some health condition. Examples include finding lifestyle factors ...

    • Using semantics and analytics to drive dynamic health risk analyses 

      New, Alexander; Rashid, Sabbir; Erickson, John S.; McGuinness, Deborah L.; Bennett, Kristin P. (AMIA, 2018-11-03)

    • Semantalytics: Multi-modal Experimental Data Integration and Analysis through Semantic Alignment 

      Erickson, John S.; Shang, Yao; Jackson, Meredith; Fede, Halley; Shahir, Munira; McCrae, Sarah; New, Alexander; Draper, Josh; Walf, Alicia A.; Arpels-Josiah, Ranjit; Rosner, Andrew; Pinheiro, Paulo; Dyson, Anna; McGuinness, Deborah L.; Bennett, Kristin P. (DSpace at RPI, 2017-12)
      We describe an event-based semantics-driven framework for heterogeneous dataset integration, alignment and data analysis. The testbed for this semantalytics prototype was the pilot study of a multi-step experiment examining ...

    • A Semantic Workflow Approach to Web Science Analytics 

      Norris, Spencer; Erickson, John S.; McGuinness, Deborah L. (2017-06-25)
      Reproducibility and reuse are rapidly becoming guiding principles in publishing and sharing scientific results. In order to enhance researchers' ability to leverage existing results, many are moving in the direction of ...

    • Weaving a Knowledge Network for Deep Carbon Science 

      Ma, Xiaogang; West, Patrick; Zednik, Stephan; Erickson, John S.; Eleish, Ahmed; Chen, Yanning; Wang, Han; Zhong, Hao; Fox, Peter (Frontiers in Earth Science, 2017-05-15)
      Geoscience researchers are increasingly dependent on informatics and the Web to conduct their research. Geoscience is one of the first domains that take lead in initiatives such as open data, open code, open access, and ...

    • In Memoriam: Dr. Norman Paskin, Founding Director, International DOI Foundation Visionary Pioneer of Reference Linking, Metadata and Persistent Identifier Infrastructure 

      Erickson, John S.; Lannom, Laurence W. (Data Science Journal, 2017)
      We were shocked and saddened to learn of the death of our longtime friend and colleague Dr. Norman Paskin in March 2016. Norman will be remembered as the thoughtful and tireless founding director of the International ...

    • Addressing Scientific Rigor in Data Analytics Using Semantic Workflows 

      Erickson, John S.; Sheehan, John; Bennett, Kristin P.; McGuinness, Deborah L. (Springer, Cham, 2016-06-16)
      New NIH grants require establishing scientific rigor, i.e. applicants must provide evidence of strict application of the scientific method to ensure robust and unbiased experimental design, methodology, analysis, interpretation ...

    • Explaining Scientific and Technical Emergence Forecasting 

      Michaelis, James; McGuinness, Deborah L.; Chang, Cynthia; Erickson, John S.; Hunter, Daniel; Babko-Malaya, Olga (Applications of Social Media and Social Network Analysis, 2015-05-29)
      In decision support systems such as those designed to predict scientific and technical emergence based on analysis of collections of data the presentation of provenance lineage records in the form of a human-readable ...