Try it: https://markov-web-coral.vercel.app
A first-order Markov chain text generator. Paste URLs, get procedurally generated text back.
Built on Shannon's 1948 methodology (rooted in his classified 1945 cryptography work).
chris wiggins chrishwiggins
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| Big Data & SocietyVolume 7, Issue 1, January 2020 | |
| © The Author(s) 2020, Article Reuse Guidelines | |
| https://doi.org/10.1177/2053951720932200 | |
| Logo | |
| Creative Commons License (CC BY-NC-ND 4.0) | |
| Original Research Article | |
| “We called that a behavior”: The making of institutional data | |
| Madisson Whitmanhttps://orcid.org/0000-0003-0936-1358 | |
| Abstract | |
| Predictive uses of data are becoming widespread in institutional settings as actors seek to anticipate people and their activities. Predictive modeling is increasingly the subject of scholarly and public criticism. Less common, however, is scrutiny directed at the data that inform predictive models beyond concerns about homogenous training data or general epistemological critiques of data. In this paper, I draw from a qualitative case study set in higher education in the United States to investigate the making of data. Data analytics projects at universities have become more pervasive and intensive to better understand and anticipate undergraduate student bodies. Drawing from 12 |
chrishwiggins
/ output_clean_no_pii.tsv
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September 2, 2025 18:02
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| Timestamp junior/senior what topics (or specific people)_ are you particularly interested in hearing about this semester? are there any topics (or specific people) you would NOT be interested in hearing about? Feel free to add any other questions, comments, or suggestions, if you have any | |
| 8/28/2025 15:36:11 Junior Math modeling applications in clinical research, probabilistic modeling, drug regimen optimization and treatment personalization, pharmacology/pharmacometrics topics | |
| 8/28/2025 15:38:27 Senior I'd be curious to hear more about LLMs and the math behind them in order to better understand how they work! N/A | |
| 8/28/2025 15:40:24 Junior "pure math: stochastic topics, topological topics, how to do pure math in industry (i.e. research positions, etc) applied math: topics outside of stats & data science." stats & data science | |
| 8/28/2025 15:42:47 Junior Combinatorics, algebraic topology data science and statistics in general | |
| 8/28/2025 15:48:35 Junior | |
| 8/28/2025 15:48:56 Junior LLMs, machine learning, stoc |
chrishwiggins
/ output_clean.tsv
Created
September 2, 2025 17:34
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 6 columns, instead of 4 in line 4.
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| Timestamp junior/senior what topics (or specific people)_ are you particularly interested in hearing about this semester? are there any topics (or specific people) you would NOT be interested in hearing about? Feel free to add any other questions, comments, or suggestions, if you have any If you'd like to identify yourself, feel free, if not, no problem | |
| 8/28/2025 15:36:11 Junior Math modeling applications in clinical research, probabilistic modeling, drug regimen optimization and treatment personalization, pharmacology/pharmacometrics topics yk3110@barnard.edu | |
| 8/28/2025 15:38:27 Senior I'd be curious to hear more about LLMs and the math behind them in order to better understand how they work! N/A rgc2148@columbia.edu | |
| 8/28/2025 15:40:24 Junior "pure math: stochastic topics, topological topics, how to do pure math in industry (i.e. research positions, etc) applied math: topics outside of stats & data science." stats & data science | |
| 8/28/2025 15:42:47 Junior Combinatorics, algebraic topology data science and |
chrishwiggins
/ transformer_embeddings_pca.tsv
Created
September 2, 2025 16:43
PCA of transformer embeddings for student survey responses
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| student_id | year | pc1 | pc2 | interests_preview | |
|---|---|---|---|---|---|
| 0 | Junior | -0.21022303 | 0.03742918 | Math modeling applications in clinical research, probabilistic modeling, drug regimen optimization a | |
| 1 | Senior | 0.053690534 | 0.023714403 | I'd be curious to hear more about LLMs and the math behind them in order to better understand how th | |
| 2 | Junior | -0.40536395 | 0.14798523 | pure math: stochastic topics, topological topics, how to do pure math in industry (i.e. research pos | |
| 3 | Junior | 0.37337518 | -0.11617733 | Combinatorics, algebraic topology | |
| 4 | Junior | 0.03895838 | 0.21787016 | LLMs, machine learning, stochastics, probability, finance | |
| 5 | Senior | 0.103232145 | -0.51578295 | Biophysics | |
| 6 | Junior | -0.16043551 | -0.20623785 | visual arts, especially animation! quantitative finance. aerospace / air traffic control (?). crypto | |
| 7 | Junior | -0.37778497 | -0.25229186 | anything adjacent to natural sciences, and limitations of applied math/mathematical modeling (i.e. t | |
| 8 | Senior | -0.04851603 | 0.17333017 | maybe something similar to topics from Persuasion at Scale -- use of stats or compu |
chrishwiggins
/ output_clean.tsv
Last active
September 4, 2025 14:42
Survey responses with PII removed
We can make this file beautiful and searchable if this error is corrected: It looks like row 4 should actually have 5 columns, instead of 3 in line 3.
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| Timestamp junior/senior what topics (or specific people)_ are you particularly interested in hearing about this semester? are there any topics (or specific people) you would NOT be interested in hearing about? Feel free to add any other questions, comments, or suggestions, if you have any | |
| 8/28/2025 15:36:11 Junior Math modeling applications in clinical research, probabilistic modeling, drug regimen optimization and treatment personalization, pharmacology/pharmacometrics topics | |
| 8/28/2025 15:38:27 Senior I'd be curious to hear more about LLMs and the math behind them in order to better understand how they work! N/A | |
| 8/28/2025 15:40:24 Junior pure math: stochastic topics, topological topics, how to do pure math in industry (i.e. research positions, etc) | |
| applied math: topics outside of stats & data science. stats & data science | |
| 8/28/2025 15:42:47 Junior Combinatorics, algebraic topology data science and statistics in general | |
| 8/28/2025 15:48:35 Junior | |
| 8/28/2025 15:48:56 Junior LLMs, machine learning, stoch |
chrishwiggins
/ survey_data.tsv
Created
September 1, 2025 23:32
Survey data for From Words to Wisdom mathematical text analysis demo
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 6 columns, instead of 4 in line 4.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Timestamp junior/senior what topics (or specific people)_ are you particularly interested in hearing about this semester? are there any topics (or specific people) you would NOT be interested in hearing about? Feel free to add any other questions, comments, or suggestions, if you have any If you'd like to identify yourself, feel free, if not, no problem | |
| 8/28/2025 15:36:11 Junior Math modeling applications in clinical research, probabilistic modeling, drug regimen optimization and treatment personalization, pharmacology/pharmacometrics topics yk3110@barnard.edu | |
| 8/28/2025 15:38:27 Senior I'd be curious to hear more about LLMs and the math behind them in order to better understand how they work! N/A rgc2148@columbia.edu | |
| 8/28/2025 15:40:24 Junior "pure math: stochastic topics, topological topics, how to do pure math in industry (i.e. research positions, etc) | |
| applied math: topics outside of stats & data science." stats & data science | |
| 8/28/2025 15:42:47 Junior Combinatorics, algebraic topology data science and |
chrishwiggins
/ 4186.py
Created
September 27, 2024 14:55
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| def simulate_market_shares(n_firms, n_periods, volatility): | |
| shares = np.random.dirichlet(np.ones(n_firms), n_periods) | |
| # Apply some smoothing to simulate persistence | |
| for t in range(1, n_periods): | |
| shares[t] = shares[t - 1] + volatility * (shares[t] - shares[t - 1]) | |
| return shares |
chrishwiggins
/ courses.txt
Created
September 7, 2024 23:01
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| CS- | |
| CS-108 Fundamentals of Computer Engineering | |
| CS-109 Computer Programming | |
| CS-111 Object Oriented Programming | |
| CS-211 Discrete Structures | |
| CS-212 Computer Organization & Design | |
| CS-214 Digital Logic Design | |
| CS-215 Signals and Systems | |
| CS-216 Data Structures & Algorithms |
chrishwiggins
/ courses.txt
Created
September 7, 2024 22:53
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| CS-108 Fundamentals of Computer Engineering 2 1 3 | |
| CS-111 Object Oriented Programming 2 1 3 | |
| CS-109 Computer Programming 2 1 3 | |
| EL-102 Basic Electronics 3 1 4 | |
| EE-120 Basic Electrical Engineering 3 1 4 | |
| PH-122 Applied Physics 3 1 4 | |
| MT-114 Calculus 3 0 3 |
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