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A public bookmark bar. Resources for computation, operations research, academia, and more.
Resources
Consider this a public bookmark bar. These are resources I've found useful or think might be one day.
Disclaimers: still in progress, definitely not comprehensive, links may not work, and in no particular order.
I welcome any additions, suggestions, or corrections! Feel free to create a pull request or send me an email.
I've found a good portion of this from links other folks have shared on Twitter. Thanks, y'all. Also a very big thank you to everyone who created the original content.
Table of Contents
- Python
- R
- GitHub
- AMPL
- Julia
- Other languages
- General coding
- Math prog. software
- Math prog. resources
- Operations research-adjacent material
- Data viz
- Datasets
- Communication
- Healthcare
- Jobs and summer schools
- Funding
- Teaching
- Anti-racism
- Blogs I like (and read occasionally)
- Various advice
- Eclectic
Python
- Overview
- Whirlwind tour from @jakevdp
- Overview from @drvinceknight
- Scipy lecture notes
- Targeted
- Python for Mathematicians (drvincekinght)
- Python for Epidemiologists (pzivich)
- Free Textbooks
- Think Python by @AllenDowney, beginners guide, programming exp. not necessary
- Python Data Science Handbook by @jakevdp
- Intro to Machine Learning in Python by @amueller
- Bayesian Methods for Hackers (Pilon)
- Modeling and Simulation in Python by @AllenDowney, targeted towards intro undergrads
- Community
- Slack channel to learn data science in Python
- Overall tutorial
- Topics/packages
- Pandas (data processing)
- Networks
- Package: NetworkX
- Tutorial: network analysis using humanities data
- Tutorial: Chinese postman problem
- Network simplex
- Package: SNAP
- Analysis of graphs and networks
- Claims often faster and able to solve larger problems than NetworkX
- Package: NetworkX
- Simulation
- Discrete-event
- Package: SimPy
- Google group
- Book chapter by Barry Nelson
- Package: Ciw (for open queueing networks)
- Package: SimPy
- Agent-based modeling
- Discrete-event
- List of operations-research-related packages
- Optimization
- Overview (Ted Ralphs)
- Modeling languages
- Package: gurobipy
- Walk-through of building simple model
- Walk-through of semi-complex model
- Example models
- Package: PuLP, linear programs
- Package: Pyomo, all-purpose
- How to run models
- Example models
- Package: Pysp, extends Pyomo for stochastic programming
- Package: gurobipy
- Solvers & algorithms
- Package: scipy.optimize
- Package: CVXPY, convex opt
- Package: Optimist, SDDP in water systems
- Package: PyBnB, parallel branch-and-bound
- Package: StochOPy, stochastic optimization
- Package: StOpt, stochastic control (written in C++, Python bindings)
- Package: py-lapsolver, fast linear assignment problems
- Package: munkres, Hungarian algorithm
- Library: PyMaxFlow, Max flow/min cut
- Package: PyPSA, power systems analysis
- Package: PySCIPOpt
- Plot convex hull
- Examples
- Optimization tutorial (ekhoda)
- TSP
- Genetic algo (Stoltz)
- Facility location problems (SCIP)
- Dimensionality reduction
- Package: umap, uniform manifold approx. and projection
- Game theory (source)
- Software: Gambit
- Package: Nashpy, 2-player games/compute equilibria, paper
- Package: Axelrod, iterated prisoner's dilemma
- Package: PyNFG, network form games
- Library: lrslib, lrsnash can be used to compute Nash equilibria
- Within SageMath, games: cooperative with finite players; matching; normal form with N players
- Math
- SageMath textbook: Computational Mathematics with SageMath, Zimmermann et al.
- Machine learning
- Statistics
- Package: lifelines, survival analysis
- Supply chain
- Package: Supplychainpy
- Webscraping
- Tutorial (by Agarwal)
- Convert PDF to html
- Package: PDFMiner, then can be used to parse
- Other fields
- Visualization / figures
- Python Graph Gallery - lots of examples with code
- Overview of plotting for exploratory analysis (Hopper)
- Seaborn Examples
- Altair
- R-style graphing
- Funny
- Notebooks
- How to...
- Run code
- Set up
- Add Python to PATH: medium post
- Install packages that aren't available via conda: stackoverflow
- Install TensorFlow: medium post
- Manage/use environments:
- Export to file
- Write unit tests, SciPy
- What's a...
- Generator? stackoverflow
- pycache file? answer 1, answer 2
- Humor
R
- Reference
- Free Textbooks
- An Introduction to R
- Hands-On Programming with R (Grolemund)
- R for Data Science by @hadley and @garrettgman
- Some solutions (Arnold)
- R Programming for Data Science (Peng, 2019)
- Advanced R (Wickham)
- Some solutions (Grosser et al.)
- R Packages (Wickham)
- Text Mining with R by @juliasilge and @dgrtwo
- Exploratory Data Analysis with R(Peng, 2016)
- Efficient R Programming (Gillespie, Lovelace, 2016)
- Functional programming and unit testing for data munging with R (Rodrigues, 2017)
- R Markdown: The Definitive Guide (Xie et al., 2019)
- Cheat sheets
- Base R
- ggplot2: Two pages; Longer
- Syntax comparison: base R vs. formula vs. tidyverse
- Styleguides
- R Cookbook
- Free Textbooks
- Search engine for R help
- Learn R
- Handbook - Intro to R for Decision Modelers (Pechlivanoglou et al)
- Seminar code - Intro to R seminar code (IDRE)
- Compilation of resources
- Courses & collection of tutorials
- UC Business Analytics
- Coding club, Univ. of Edinburgh
- Stat 545, R course with many materials online
- Websites
- R-bloggers
- R FAQ on StackOverflow
- R Weekly, new R resources every week
- Communities/fora
- Tidy Tuesdays, a weekly data viz project
- Package: TidyTuesdayR - to help download data
- See results from each week: TidyTuesdayRocks (Grantham)
- Community to walk through R for Data Science book together
- R-Ladies community on Slack
- RStudio Community
- Tidy Tuesdays, a weekly data viz project
- Packages/topics
- Package: EpiModel
- dplyr
- Joins
- Cheatsheet (Stat 545)
- Gifs of join types (gadenbuie)
- Tutorials
- Joins
- Bootstrapping
- Package: reprex
- Prep short bits of code (e.g., to post on StackOverflow)
- Webscraping
- K-means
- Tutorial, UC Business
- Package: sociome - access to social determinants of health data
- Stats
- Package: precisely - estimate power size based on precision
- Operations research
- Simulation
- Microsimulation tutorial (Krijkamp et al.)
- Statistics
- Summary
- Package: summarytools, e.g.,
view(dfSummary(iris))
- Package: summarytools, e.g.,
- Principal component analysis tutorial (Hayden)
- Survival analysis
- Summary
- Health economics
- Math
- ODEs: Package: odin
- Visualizations
- Examples - R Graph Gallery
- Create figures
- Package: rvg - export figures to be editable in Powerpoint
- Package: magick, vignette - image processing
- Graphs and networks
- Tutorial (Ognyanova)
- Package: DiagrammeR
- Example (Kalvelagen)
- Package: Plotly
- Gantt charts
- Package: GanttR
- Other options
- Interactive timelines
- Package: timevis
- Spatial data
- Package: sf, simple features
- Maps
- Package: ggmap
- Using Stamen maps (Tay)
- Package: urbnmapr, state and county
- Package: ggmap
- Colors / themes
- Color/fill/transparency in ggplot2 (tidyverse)
- RColorBrewer
- Explanation (by chelsea in R)
- GUI to review options on a map
- Markdown/reports
- How to...
- Set up
- Data
- List factor levels
- List all including those without observations - levels(), could also use droplevels()
- Only list those with observations - unique() (Cai)
- Add rows to dataframe
- List factor levels
- Plot things
- Axes
- Plot all data in background on faceted ggplot2 figures
- Change colors
- Iteratively make plots
- Plot multiple figures
- Drill-down figures, with plotly
- Save high resolution figures
- Fit distributions
- Write an R package by @jtleek
- What is...
- ::
- Pipe operator %>%
- Short explanation from @hadley
- Longer from DataCamp
- Environments, namespaces, etc. (Suraj Gupta)
- Humor or fun
- Package: Cowsay, tutorial - make animals say funny things
- Excel 2003 themed figures
- Package: GeomMLBStadiums - draw baseball stadiums in ggplot2
GitHub
- Beginner Tutorial
- Guide to Git with R
- Cheat sheets
- Binder - Convert Jupyter notebooks to executables
- How to...
- Install git
- Undo
- Save credentials (i.e., username/password)
- Exit git log (soln: type 'q')
- Revert to older version (use new branch)
- Repos
- Manage branches
- Forking
- Deal with errors:
- Local changes being overwritten
- Unlink of file - essentially, had to close AMPL, then worked fine
- What is...
- Humor:
AMPL
- Free textbook: AMPL (Fourer, Gay, and Kernighan)
- Intro to AMPL Handout (Krishnamoorthy)
- Help forum: Google group
- Specifics
- Dynamic set definitions, e.g., AVAIL vs. AVAIL_all
- argmin
- Sampling discrete random variables from uniform distribution
Julia
- How to use
- Free textbooks
- Think Julia (Lauwens)
- Julia Programming for Operations Research (ver1) (Kwon, code)
- Resource compilations
- Many resources (Julia site)
- Lists of packages related to different areas (svaksha) - click on the .md links to see
- Fora
- Videos
- Operations research
- Optimization in Julia - nice summary of solvers at bottom of page
- Modeling languages
- Solvers/algorithms
- JuliaStochOpt
- Including: discrete-time stochastic control
- SDDP (stochastic dual dynamic prog); tutorials
- SDDiP (SDDP with integer variables)
- StructJuMP (2-stage stochastic programs)
- DSP (stochastic mixed-integer)
- Complementarity.jl (mixed-complementarity and math programs with equilibrium problems)
- CLP - COIN-OR LP solver
- L-shaped solver
- JuliaStochOpt
- Specifics
- Other math/CS
- Evaluate derivatives
- Differential equations
- Calculus
- Machine learning
- Tutorial (JPUG)
- Game Theory
- Plots
- Tutorial (JPUG)
- Tutorial (documentation)
- Formatting and style by backend
- Performance
- Tips (from manual; from JPUG)
- Package: TimerOutputs.jl
- Package: BenchmarkTools.jl
- Other
- OhMyREPL.jl (syntax highlighting in REPL)
- Parallel computing
- Overview
- Tutorial (García-Heredia)
- parallel_computing.jl (Nassar)
- Caching pool (odow)
- Examples
- Gurobi (odow)
- [JuMP and Ipopt] (https://discourse.julialang.org/t/running-jump-using-ipopt-in-parallel/9167)
- Package dev and workflow
- Create and register a package (attractivechaos)
- Create local package
- Workflow v1.0 (Engheim)
- Patching packages
- Discourse answer 1 (sdewaele)
- Discourse answer 2 (CameronBieganek)
- Unit testing
- How to:
- Install a package the first time
- Install a specific version of a package (answered within the first section)
- Install a package from github (example)
- Suppress multiple Gurobi license messages - send environment to solver: v1
- What is:
- The ! after a function name? answer
Other programming languages
- SQL
- Sequel Pro - for Mac
- MATLAB
- FAST - Stochastic dual dynamic programming (open-source)
- Optimization (paid)
- Global optimization (paid)
General coding / computation
- Overview/best practices
- Overview (slides from @tommlogan)
- Best practices from @marcio-mourao
- Good enough practices (Wilson et al.)
- Best practices (Wilson et al.)
- Coding standards (EECS 280, UM)
- Textbooks
- Compilation of free textbooks
- The Turing Way - reproducible data science
- Courses
- System and Software Tools (slides)
- Intro to computing for computer scientists (lectures)
- E.g., Linux, command line, version control, shells, scripting
- Computing for Social Sciences (slides, resources, etc.)
- Data Skills for Reproducible Science (notes, code)
- Software Carpentry ()many resources)
- Intro to Biomedical Data Science (materials)
- Command line
- Bash
- Overview (William Shotts)
- Free textbook: The Linux Command Line (William Shotts)
- Intro (slides, UM CSCAR)
- Linux
- Intro course (free online)
- Remote computing
- SSH - aka Secure Shell (allows secure remote login even if network insecure)
- File transfer
- Cluster computing
- PBS overview (batch scripting, 40min video)
- Unixm
- Book: The Unix Workbench (Kross)
- Tutorial for beginners
- vi commands
- Text editors
- Atom
- Keyboard shortcuts (nwinkler)
- Vim
- Game to learn Vim: Vim Adventures
- Emacs
- Visual Studio Code
- Sublime
- Nano
- Atom
- Share code
- Carbon - nice formatting for screenshotting code
- Parallel computing
- Intro (Barney)
- Servers
- What are/is...
- src vs. bin folders?
- the difference between statically and dynamically typed lanugages? stackoverflow; blogpost (From Python Conquers)
- How to...
Math programming software
- Overviews
- From Math Opt Society (Sept 2017)
- Convex MINLP solver comparison (Jun 2018)
- Benchmarks
- Linear programs - simplex (Mittelmann)
- Solvers
- Commercial
- Non-commercial
- GLPK (LP, MIP)
- SCIP (MIP, MINLP, constraint IP)
- Bonmin (MINLP)
- Couenne (Non-convex MINLP)
- MAiNGO (MINLP)
- NEOS:
- Concorde (TSP - traveling salesman)
- OpenSolver - Excel add-in, extends standard Excel solver
- Ipopt (nonlinear, local)
- BiqBin (Binary quadratic)
- DSP (Stochastic mixed-integer programs)
- ECOS (Second-order conic programs), website
- OSQP (Operator Splitting Quadratic Program)
- Mini-CP (Constraint programming)
- Dakota
- Other code
- Knapsack, incl COMBO algorithm (Pisinger)
- OR-Tools from Google
- Modeling lanugages
- SolverStudio (free) - Excel add-on, useful when OpenSolver not big enough
- AMPL
- OPL
- LP add-on for Google sheets
- MiniZinc (Constraint modeling), docs
- Pyomo (Python)
- JuMP (Julia)
- Gravity (C++)
- Application specific
Math programming resources
- Textbooks available for free
- A First Course in Linear Optimization v3.0 by @jon77lee
- Decision Modeling (David M. Tulett, author-provided source) - optimization for undergrads
- Convex Optimization (Stephen Boyd and Lieven Vandenberghe)
- MOSEK Modeling Cookbook
- Conic optimization, not specific to MOSEK solver
- Foundations and Methods of Stochastic Simulation (Barry Nelson)
- Intro to Applied Linear Algebra (Stephen Boyd and Lieven Vandenberghe)
- Myths and Counterexamples (Harvey Greenberg)
- Iterative Methods in Combinatorial Optimization (Lau et al., 2011)
- Communities / forums
- Operations Research Stack Exchange
- No longer in use: OR Exchange
- Google groups
- Stack Overflow
- Optimization Online (preprint site)
- IE faculty listserv, e.g., job postings, etc.
- Overviews
- Models
- Algorithms
- List/explanation from the folks at NEOS
- Test sets/libraries
- Compilation: on OR.SE, on GitHub
- MIPLIB
- OR Library
- TSPLIB
- Networks (DIMACS)
- MINLP in AMPL
- VRP-REP - vehicle routing
- Commonly used (per Laporte 2007): CMT, 1979, GWKC, 1998
- Facility location
- Bilde-Krarup (Quite old - 1977)
- Course resources
- Math Programming (generally)
- Notes (Bertsimas, Fall 2009)
- Large-scale opt: Slides (Vandenberghe, 2016)
- Several courses (Mitchell)
- Video tutorials (Sharkey, Nurre)
- Linear programming
- Slides (Vanedenberghe, 2013)
- Combinatorial optimization
- Lecture notes (Schrijver, 2017)
- Lecture notes (Goemans, Spring 2004)
- Notes (Chekuri, Spring 2010)
- Computational methods
- Notes (Grimmer, Ding 2018)
- Convex Optimization
- Lectures videos, Convex Opt I & II (Boyd, 2008)
- Lecture videos (Bazzi, 2019)
- Slides (Vandenberghe)
- Slides (Vandenberghe, 2019)
- Slides (Nedich)
- Convex Opt II
- Notes (Boyd and Luo, Fall 2003)
- Slides, notes (Duchi)
- Notes (Candes)
- Applied numerical computing
- Slides, notes (Vandenberghe, 2018)
- Linear dynamical systems
- Lecture videos (Boyd, 2008)
- Stochastic programming
- Videos, slides (Papavasiliou)
- Lecture notes (Shapiro, Dentcheva, Ruszczynski)
- Readings (Powell, Fall 2017)
- Optimal Learning
- Various materials (Powell)
- Opt for machine learning
- Slides (Udell)
- SDP
- Slides (Parrilo, Lall)
- Scheduling theory and applications
- Slides and handouts (Shehadeh, 2018)
- Math Programming (generally)
- OR in practice
- Wagner Prize Videos (INFORMS)
- Other
- IFORS Developing Countries page - a variety of open-source resources
- OR societies around the world
- COIN-OR Foundation
- INFORMS tutorials (videos)
- Topics
- Benders Decomposition
- Using callbacks to avoid rebuilding the scenario tree by @parubin
- Examples:
- Decision diagrams for integer programming
- Slides (van Hoeve)
- Disjunctive programming
- Overview from GAMS
- Video (Ruiz)
- Gradient descent
- Intro Blogpost (Pigeon)
- MINLP (Mixed-integer nonlinear programming)
- Nonlinear optimization
- Slides (Biegler)
- Short course slides (Wachter)
- Numerical issues
- SDP (Semidefinite programming)
- Subgradient methods
- Notes (Boyd) - minimize convex function, non-differentable
- Supply chain
- Variables
- Semicontinuous (post by Rubin, post by Kalvelagen)
- Semi-integer (post by Kalvelagen)
- Benders Decomposition
- How to...
- Linearize product of variables
- Linearize max/max/absolute value
- Linearize max(0,y) by @prubin73
- Incorporate a max in a constraint (Rubin, Contardo)
- Remember primal / dual conversion
Operations research-adjacent material
- Linear Algebra
- Videos
- Intuitive overview (~2hrs, 3Blue1Brown)
- Intro course lectures (Strang)
- Review and reference (handout, Kolter and Do)
- Intro to matrix algebra (handout, Carey)
- Course notes, exercises, book (Boyd and Vandenberghe)
- Videos
- Economics and game theory
- Game theory
- Intro course lectures (Ben Polak)
- Course slides (Nedich)
- Slides from several courses (Fernández-Villaverde)
- Including: computational methods; tools; macro dynamics; graduate macro; macro uncertainty shocks; equil macro; global econ history; political econ of early America
- Game theory
- Networks
- Free textbook: Networks, Crowds, and Markets (Easley, Kleinberg), intro undergrad
- List of resources (briatte)
- Bayes nets
- Tutorial (Netica)
- Intro slides (CMU)
- Data Science
- How to get started
- Directory of materials (DataSciGuide)
- DataFramed podcast (DataCamp)
- Courses
- Foundations of Data Science (video, slides, assignments, Berkeley)
- Textbook (Adhikari, DeNero)
- Applied data science (course readings from @hadley)
- Intro to data ethics (course module, Shannon Vallor)
- Foundations of Data Science (video, slides, assignments, Berkeley)
- Examples
- Work habits and bicycles (VanderPlas)
- Machine Learning
- Communities
- Google group
- CrossValidated, stackexchange
- Textbooks
- Intro to Statistical Learning (James et al.)
- Elements of Statistical Learning (Hastie, Tibshirani, Friedman) - more technical than James et al. book
- Statistical Learning with Sparsity (Hastie, Tibshirani, Wainwright)
- A Brief Intro to ML for Engineers (Simeone)
- Fairness in ML (Barocas, Hardt, Narayanan) - book in progress
- Technical Notes - ML and AI from @chrisalbon
- ML flashcards from @chrisalbon
- Scrape off Twitter for free (@Dpananos)
- Courses
- Recordings, slides (@amueller)
- Recordings, slides (Hastie, Tibshirani)
- Course notes (Clayton Scott)
- Notes, slides (Abernathy)
- Learning with big messy data - Slides (Udell)
- Topics
- How decision trees work (Rohrer)
- Taxonomy of reproducibility
- Monte Carlo tree search
- Data leakage (Brownlee)
- Communities
- Deep learning
- Slides (EECS 498-598)
- Compilations
- Statistics
- Communities/forums
- datamethods - health-related stats forum
- Talk Stats
- CrossValidated
- Books
- Causal Inference (Hernan and Robins)
- Notes about book (Finlayson)
- DAGs from book (Finlayson)
- Advanced Data Analysis from an Elementary Point of View (Shalizi)
- Causal Inference (Hernan and Robins)
- Glossary of Statistical Terms (Harrell)
- 10 rules to use stats (comp biology)
- Essential statistics with R (UVA)
- Document and avoid these problems (biostat)
- StatPrimer (Gerstman)
- Courses
- Modern regression (Shalizi, notes)
- Regression modeling strategies (Harrell)
- Tests
- What test should I use? (Examples in R, Stata, SAS, SPSS)
- t-tests
- Specific topics
- Relationships between univariate distributions (Leemis)
- Odds ratios (Best practices; Norton, Dowd, Maciejewski, paywall)
- Dirichlet processes (notes by @tdhopper)
- Experimental design (warning signs, Norvig)
- Survival analysis (overview, Grace-Martin)
- Same stats for different data
- Communities/forums
- Biomedical data related
- Courses
- Biomedical data science (Turner, notes)
- Biostatistics for biomedical research (Harrell)
- Clinical trials - design/analysis (Penn State, notes)
- Courses
- Probability
- Review (Maleki and Do)
- Mathematics
- Primers (Kun)
- Notes (Conrad)
- Compilation of courses (Dhar)
- Boolean functions
- Lecture videos (O'Donnell)
- Free textbook: [Analysis of Boolean Functions] (http://www.contrib.andrew.cmu.edu/~ryanod/?page_id=2334) (O'Donnell)
- Computer science
- Ethics and social good
- Mechanism design for social good (Reading list)
- Ethics and policy in data science (syllabus)
- Other
- Compilation of lots of resources for students (FrontBench)
- Blockchain overview (2 hr video)
- Gentle intro to graph theory (Joshi)
- Habits of highly mathematical people (Kun)
Data visualization
- Free Textbooks
- Course
- Data viz Videos, Ghodsi, U. Waterloo
- Color
- Guide to using color (Rost)
- Color oracle - convert screen to what a color blind person would see
- Networks
- Overview of software, etc., NC State
- Gephi
- Tutorial - create citation network, NC State
- Example - citation network (Caren, using Python & d3.js)
- Graphviz (python)
- Examples
- Force-directed graph (json/html)
- Community
- Various
- Multiple views on how to choose a visualization (Franconeri, 2019)
- Ten simple rules for better figures (Rougier et al., 2014)
Datasets/databases
- Note: health-related data is in this section
- Search engine
- Compilations
- Data.gov
- From Vanderbilt Biostats
- Kaggle
- Public datasets
- Google Public Data Explorer
- Datasets available via R packages
- Open/public datasets for machine learning
- Network datasets
- Time series
- From DataMarket
- Economic (Fed Reserve)
- Good, small datasets (Vicki Boykis)
- Specific sources
- Bureau of Labor Statistics, e.g., Consumer Price Index (inflation)
- US Census Bureau
- Pew Research Center: data and how to analyze
- Neighborhood atlas - disparities / deprivation work, perspective about (paywall?)
- FEMA Hazus
- FiveThirtyEight
- European statistics
- IMF
- WHO
- Quandl - financial / economic data - some are free
- Literature
Communication/dissemination
- Sharing data (guide by @jtleek)
- Open-source: How to choose license
- Manuscripts
- How to write
- Your first paper (@jtleek, biostat)
- 12 steps to writing
- Writing a paper (Whitesides)
- Healthcare-focused
- Prep for a medical journal (Welch, 1999 paper)
- Writing for Impact (Ibrahim and Dimick)
- Policy papers in clinical journals (UM CHEAR)
- Picking a journal
- Reporting guidelines
- Run a "paper sprint"
- Staying organized
- Publication planner (Pacheco-Vega)
- Types of reviews (Temple U) - Systematic, scoping, etc.
- How to write
- Visual abstracts
- Policy
- How to use research to affect policy (Oxfam)
- Connect research to policy (Quinn)
- More than a press release (Frakt, Videos)
- Working with the media
- Writing for lay outlets
- For "The Conversation" (slides, Chang and Czuhajewski)
- Writing help
- Lots of resources (Purdue)
- Reference software
- LaTeX
- Getting started (Johnson, Code)
- Overview (Wilkins)
- Collaboration
- Templates
- Example for journals (Coelho)
- Thesis templates:
- Beamer tips and tricks (slides, source code, from @paulgp)
- Graphics
- Indicating math mode
- Writing a book
- Self-publishing (Kun)
Healthcare
- Guides
- Healthcare Industry (largely UM students only)
- Health management and policy
- Finding health statistics
- Datasets / databases
- Medicare Part B
- National summary files
- Carrier summary files
- Not free: CCW
- CDC: data/stats
- Critical care database: MIMIC
- Other
- Major surveys
- Medicare Part B
- Methods
- Forums
- datamethods - health-related stats forum
- MedStats - google group
- Pharmacy concentration calcs
- Forums
- Newsletters
Jobs/Summer schools
- Jobs
- Compilations
- Companies that hire operations researchers; from @dirkschumacher
- United Nations (UN) jobs from from @dirkschumacher
- Humanitarian logistics orgs (GT CHHS)
- Math-related (ORFE Princeton)
- Listservs/job boards
- National labs
- Sandia: fellowships/postdocs
- National Renewable Energy Lab NREL
- Oak Ridge
- Pathways to Science - internships, jobs, etc.
- How to build your portfolio (Harris)
- What can you do with a math degree? Videos - PICMATH
- Schools
- Summer schools 2019 (Thiago Serra)
- Undergrads
- MSRI-UP - summer math program for undergrads
- Job search resources - BIG Math
- Compilations
- Career prep
- Academic job search
- OperationsAcademia.org - OR/MS job postings and advice
- University compilations
- Materials checklist (UCSF)
- How to prep app materials (LinkLab, UVA)
- Research statement
- How to write
- Jim Austin; Karen Kelsky; UPenn; U. Wash; GSA (Geology); Duke; Med College of Wisc; Cornell
- Samples
- How to write
- Teaching statement
- Diversity statement
- Interviews
- Overview on phone and on-site interviews (LinkLab, UVA)
- Commonly asked questions (Vitae)
- Job talk
- Article - giving an excellent talk (Carpenter, Waters)
- Article - Tips for a Successful Job Talk (Aguilar)
- Slides - How to Give a Seminar (Storesletten, econ)
- Slides - How to present your job market paper (La Ferrara, econ)
- Videos
- Articles
- The hiring process from the other side (Berkeley)
- Example materials
- Advice
- Navigating the OR/MS academic job process (Dutta, Çağlayan)
- Communities I appreciate
- Hashtags that have included interesting discussions at some point
- Other
- CV without Twitter (Auriel Fournier)
Funding
- Compilations
- Federal grants
- CAREER Grants
- Materials from CISE workshop, Mar 2019
- Specific
- FDA - Generic drug-related
- CDC - HIV
- Public Health Emergency
- Grant proposals
- Open grants - sample grant proposals
Teaching
- Guidebook (UM CRLT)
- Free textbook: Teaching Engineering (Wankat and Oreovicz)
- Blogposts
- Diversity and inclusion in the classroom (Laura Albert)
- Teaching math (K-12, Milos)
- Specifics
- First day
- First 3 weeks (UNL)
- Lesson planning (UMich)
- Logistics of large classes - 10 articles (Guo)
- Improving inclusion (Sathy and Hogan)
- Be more engaging (Cavanagh)
Anti-racism
- Resource guides
- Anti-racism resources (Flicker, Klein)
- Anti-racism resource guide (Tasha K.)
- 47 things white people can do for racial justice (Shutack)
- Scaffolding anti-racism resources (Stamborski, Zimmerman, and Gregory)
- Dismantling racism works (dRworks)
- Academic articles
- Experiences
- Responding to Racism and Racial Trauma in Doctoral Study (Turong and Museus, 2012)
- Mentoring
- Collectors, Nightlights, and Allies, Oh My: White Mentors in the Academy (Martinez-Cola, 2020)
- The diversity-innovation paradox in Science (Hofstra et al., 2020)
- Experiences
- White supremacy
- The characteristics of white supremacy culture (Jones and Okun)
- White Academia: Do Better (Roberts)
- White fragility
- How "white fragility" supports racism and how whites can stop it (LaMotte, DiAngelo)
- What's missing from "White Fragility" (Jackson)
- White guilt
Blogs I like (and read occasionally)
- Operations research-ish
- Other
- Math3Ma by @math3ma (math)
- Math Intersect Programming (Kun)
- Philip J. Guo's site
- Azimuth (various STEM fields trying to save the planet, index of entries)
- Armchair Ecology (Poisot, computational biology)
- Humor
Various advice
- Grad students
- Picking a PhD advisor (Langin, Science)
- For new grad students (Dorsa Amir)
- Guide to grad school (Adam Marcus, CS)
- Guidebook for succeeding in the PhD (Alex Eble, econ, another link)
- Succeeding in the PhD (Dredze, Wallach; computer science)
- One year to dissertation (McGowan, files)
- Advisor/PhD student dynamics (Nelson)
- For female grad students (political science, compiled by @dianazobrien)
- Attending big conferences (Kieran Healy, sociology)
- 10 tips to win at grad school (Toor)
- Compilations
- The Professor Is In (Karen Kelsky) - blog with various academic advice
- Many resources (Pacheco-Vega, polisci/georgraphy)
- Doing research (Arinivas Akella, CS)
- Grad school, technical writing, etc. (Mihir Bellare, CS)
- Undergrads
- Undergrad in the Lab Blog
- Lots of advice (Pathways to Science)
- Applying to grad school (Klett & Lee)
- 10 rules of good studying (Oakley)
- 10 rules of bad studying (Oakley)
- New faculty
- Compliation (Stanford)
- Compilation (Tang)
- The 7 Year Postdoc (Nagpal)
- Getting started (Whitaker)
- If the 3rd year review goes poorly (Albertson)
- Staying sane on the tenure track (Henderson)
- Faculty Mentoring Handbook (Arizona)
- Running a lab/research group
- Ten simple rules towards healthier research labs (Maestre, 2019)
- Making the Right Moves: A Practical Guide to Scientific Management (HHMI) - free book about managing a lab
- Advising students
- Evaluating OR PhD students (Pasupathy, Hunter)
- Working with research assistants
- Guidelines (Northwestern)
- Hire and manage (MacKenzie)
- Mentoring
- Compliation (AEA, econ)
- Job search
- Academic search (Nagi)
- Data science jobs by @robinsones
- Vitae - database, advice, etc.
- Job market mistakes (humanities)
- Various
- 8 tips for saying no by @APottegard
- The Pac-Man rule (Holscher) - always leave room for someone to join the group
- Econ prof's work style (Hal Varian)
- Chris Blattman's blog (econ prof, links on right-hand side)
- When your data science project doesn't work
- Blogs for female consultants/bus. travelers
- Business clothes for women (Stern)
- Imposter syndrome resources (Fournier)
- The importance of stupidity in scientific research (Schwartz, 2008)
- Skills
- Reading papers
- Reading papers by @jtleek
- Technical papers (Nock)
- Writing lit reviews (Raul Pacheco-Vega)
- Organizing data in a spreadsheet (Broman and Woo, open access); not always the best idea, but some tips
- Reviewing papers
- How to review a paper (Leek - biostat)
- Being a good reviewer (DiDomenico et al., pharmacy)
- Writing production-level code (Pappakrishnan)
- How to report bugs effectively (Simon Tatham) - perhaps send to your users
- Debugging
- Infeasible models (Kalvelagen)
- Rubber ducky method - explain in detail to an inanimate object
- Wolf-fence algorithm - basically binary search with fun description (original paper, paywall)
- Reading papers
Eclectic
- CV of failures
- Grad school's "hidden curriculum" (Calarco)
- Diversity
- Compilation of articles (AstroBetter - Equal Opportunity Astronomy)
- Pay your undergrad researchers
- Paper about field techs (Fournier, Bond)
- Other blog posts cited within
- Meta - list of "awesome" lists
- Azimuth Project
- Collaboration of scientists and engineers who want to save the planet
- Guide to Bad Data
- Technical / scientific debt from @dgrtwo
- Types of validity (Amy Bucher)
- Testing (Kehrer)
- Various software
- Digitize it - Convert figure to (x,y) data
- draftable - Compare pdf files
- color oracle - convert screen to what a color blind person would see:
- Poll meeting availability
- Word
- Fun OR (or related) applications
- OR/Programming/etc. in Industry
- Examples
- Queueing (Kottke)
- Algorithms
- 15 important algorithms (McFadden)
- 100 days of algorithms (Bouda), code
- Beer game using AI
- Websites
- (Free) Hosted by github
- (Free/Paid) Wix
- (Free) Google Sites
- Icons - e.g., the Google Scholar logo
- Download GoogleMaps to use offline
- Math genealogy project
- User interfaces
- Explaining UX to kindergartners (Singh)
- Terrible elevator control panels (Bartholdi)
- Source code for Apollo 11: code
- Humor
- Top 10 Illegitimate Proof Techniques (I think the original version of this list came from Dana Angluin)
- "The best way to write secure and reliable applications"
- Add coffee stains to your LaTeX files (Rein)
- Guide to interpreting faculty feedback
- Spurious correlations (Vigen)
- Create parody O'Reilly book covers
- Improbable research
- Computer science research topic generator
- Gettysburg address via powerpoint (Norvig)
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