Philipp Burckhardt

On Statistics, Programming and the Social Sciences

Publications

  • deidentify. American Medical Informatics Association (AMIA) Annual Symposium Proceedings, Chicago, forthcoming. Authors: Philipp Burckhardt, Prof. Rema Padman

  • Querying Online Self-help Forums for Chronic Kidney Disease
    with Ontology-based Text Mining
    . Proceedings of the 12th INFORMS Workshop on Data Mining and Decision Analytics, Houston, forthcoming. Authors: Philipp Burckhardt, Prof. Rema Padman

  • Improving Statistics Education Through Interactive Learning Tools. Joint Statistical Meetings (JSM) Proceedings, Baltimore, forthcoming. Authors: Philipp Burckhardt, Prof. Alexandra Chouldechova

  • Multi-Trajectory Models of Chronic Kidney Disease Progression. American Medical Informatics Association (AMIA) Annual Symposium Proceedings, Chicago, 2016. Authors: Philipp Burckhardt, Prof. Daniel Nagin, Prof. Rema Padman

  • Analyzing Self-Help Forums with Ontology-Based Text Mining: An Exploration in Kidney Space. American Medical Informatics Association (AMIA) Annual Symposium Proceedings, San Francisco, 2015. Authors: Philipp Burckhardt, Prof. Rema Padman

Technical Reports

Conference Presentations

2018

  • TeachIT: Turning the Classroom into a Research Laboratory via Interactive e-Learning Tools. Paper presentation at 10th International Conference on Teaching Statistics, Kyoto, July 2018, joint work with Alexandra Chouldechova and Rebecca Nugent
  • Introduction to stdlib-js. Talk at the International JavaScript Conference (iJS), London, April 2018
  • The JavaScript & Node.js Data Science Survival Kit. Power workshop (together with Athan Reines) at the International JavaScript Conference (iJS), London, April 2018

2017

  • deidentify. Paper presentation at the AMIA 2017 Annual Symposium, Washington DC, November 2017, joint work with Rema Padman
  • deidentify. Paper presentation at the 8th Conference on Health IT and Analytics (CHITA), Washington DC, November 2017, joint work with Rema Padman
  • Exploratory Data Analysis with JS. Talk at the International JavaScript Conference (iJS), Munich, October 2017
  • Best Practices for Writing JS Libraries. Talk at the International JavaScript Conference (iJS), Munich, October 2017
  • Querying Online Self-help Forums for Chronic Kidney Disease with Ontology-based Text Mining. Paper presentation at the 12th INFORMS Workshop on Data Mining and Decision Analytics, Houston, October 2017, joint work with Rema Padman
  • The ISLE Experience: Enhancing Classroom Instruction with Interactive e-Learning Tools. Presentation at Teaching & Learning Summit, Pittsburgh, October 2017, joint work with Alexandra Chouldechova and Rebecca Nugent
  • Assessment of Student Learning and Misconception Identification in Intro Statistics. Poster at Teaching & Learning Summit, Pittsburgh, October 2017, joint work with Peter Elliott, Sangwon Hyun, Kevin Lin, Amanda Luby, Christopher Peter Makris, Josue Orellana, Alex Reinhart, Jerzy Wieczorek, Gordon Weinberg & Rebecca Nugent
  • Data Science Survival Kit. Workshop at Node.js Interactive US (together with Athan Reines), Vancouver, October 2017
  • Improving statistics education through interactive learning
    tools
    . Paper presentation at the Joint Statistical Meetings, Baltimore, July-August 2017, joint work with Alexandra Chouldechova
  • The JavaScript Data Science Survival Kit. Workshop at FullStack conference on JavaScript, Node and Internet of Things (together with Athan Reines), London, July 2017
  • Monitoring and Analyzing User Behaviour. Talk at FullStack conference on JavaScript, Node and Internet of Things, London, July 2017
  • Understanding Chronic Kidney Disease Progression through Multi-Trajectory Modeling. Talk at the POMS 28th Annual Conference, Seattle, May 2017
  • How to Mislead the Public. Talk at the csv,conf,v3 conference, Portland, May 2017

2016

  • Real-Time Machine Learning with Node.js. Talk at the Node.js Interactive US conference, Austin, November 2016
  • Multi-Trajectory Models of Chronic Kidney Disease Progression. Talk at the American Medical Informatics Association (AMIA) Annual Symposium, Chicago, November 2016, joint work with Daniel Nagin and Rema Padman
  • Real-Time Machine Learning with Node.js. Talk at the EmpireNode conference, New York, November 2016
  • Text Mining with Node.js. Talk at the Node.js Interactive Europe conference, Amsterdam, September 2016
  • Workshop: Interactive Numeric Computing with Node.js
    and JavaScript
    . Assistance for a workshop led by Athan Reines at FullStack conference on JavaScript, Node and Internet of Things, London, July 2016

2015

  • Analyzing Self-Help Forums with Ontology-Based Text Mining: An Exploration in Kidney Space. Presented at the American Medical Informatics Association (AMIA) Annual Symposium, San Francisco, November 2015, joint work with Rema Padman
  • Powered by the Web. Harnessing web technologies for large-scale data analysis. Presented at the “From Industrial Statistics to Data Science” conference at the University of Michigan, Ann Arbor, September 2015 , joint work with Athan Reines
  • Tweet as a Tool for Election Forecast: UK 2015 General Election as an Example. Presented at the fifth annual conference of the European Political Science Association (EPSA), Vienna, June 2015 , with Raymond Duch and Akitaka Matsuo
  • Locating Economic Perception: The Geographical Distribution of Economic Tweets. Presented at the 73rd annual Midwest Political Science Association (MPSA) Conference, Chicago, April 2015 , with Raymond Duch and Akitaka Matsuo

2014

  • Locating Economic Perceptions. Presented at the Asian Political Methodology Meeting, Tokyo, January 2014, with Raymond Duch and Akitaka Matsuo

Miscellaneous

Affiliations

Presentations

Data Analysis Reports

Tutorials

Shiny Projects