networks

Journalism, normative 2020-01-26 – 2022-01-25

The social brain Dunbar-Kruger theory of mind 2011-12-09 – 2022-01-25

Hierarchical models DAGs, multilevel models, random coefficient models, mixed effect models… 2015-06-07 – 2022-01-25

Soft methodology of science 2012-01-13 – 2022-01-24

Subculture dynamics Coalitions, scenes, fandoms, subcultures, normies, hipsters, sects, and tribes at scale 2018-12-18 – 2022-01-24

Sexual ethics and institutions 2020-06-07 – 2022-01-21

Teamwork 2020-01-26 – 2022-01-20

COVID-19 in practice SARS-CoV-2 to its friends 2020-11-25 – 2022-01-17

Modern conspiracy theorising You are only reading this because the Deep State wants you to 2020-08-16 – 2022-01-16

Social psychology Which of those NPR-friendly studies actually replicated? 2017-02-20 – 2022-01-14

Recommender systems 2020-11-30 – 2022-01-12

Statistical projectivity 2020-04-26 – 2022-01-11

Standards hell Lock-in, QWERTY, coordination problems etc 2015-01-05 – 2022-01-11

Social contagion moves hearts and minds How to win elections and influence people 2020-08-30 – 2022-01-09

Sociology and politics of information Epistemic democracy, the great society 2022-01-09

Anthropic principles Convenience-sampling lived human experience 2020-02-15 – 2022-01-05

Red queen social signal dynamics Arms races in memetic selection on graphs is how I make my fashion choices 2018-12-18 – 2022-01-05

Group size Scaling dynamics and network effects in social coordination 2011-12-09 – 2022-01-02

Invasive arguments Weeds in public discourse 2021-12-20

Ethical consumption Socialism as a Service 2020-02-06 – 2021-12-20

But what can I do? The stuff to do to make a better society is so easy that it is embarrassing if you are not doing it 2020-02-06 – 2021-12-20

Causal inference on DAGs Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next 2016-10-26 – 2021-12-18

Diversity, oddness and multiculturalism in humans On clone wars 2020-05-27 – 2021-12-18

Learning with conservation laws, invariances and symmetries 2020-04-11 – 2021-12-15

Causality via potential outcomes Neyman-Rubin, counterfactuals, conditional treatment effects, instrumental variables and related tricks 2016-10-26 – 2021-12-10

Diffusion of innovations Epidemiology of widgets 2020-01-30 – 2021-12-10

Memetics Taste dynamics, opinion dynamics, sincerely-held-belief dynamics etc 2020-01-30 – 2021-12-10

Causal inference in highly parameterized ML 2020-09-18 – 2021-12-10

Message-passing algorithms in graphical models 2014-11-25 – 2021-12-08

Visualising probabilistic graphical models Also related models, such as Neural nets 2018-03-29 – 2021-11-24

The levels of simulacra 2018-12-18 – 2021-11-11

Project management With special attention to speculative and innovative projects 2021-03-23 – 2021-11-04

External validity Transfer learning, dataset shift, learning under covariate shift, transferable learning, domain adaptation etc 2020-10-17 – 2021-11-03

Filter bubbles, fact checking and kompromat Polarization and fragmentation on the basis of browser cookies 2017-02-12 – 2021-10-28

Interaction effects are probably what we want to estimate 2022-01-25 – 2021-10-28

Random graphical models Causality in amongst confusion 2021-10-26 – 2021-10-28

Spectral graph theory Linear signals on graphs 2014-11-24 – 2021-10-27

Graph neural nets 2020-09-16 – 2021-10-27

Survey modelling Adjusting for the Lizardman constant 2019-08-29 – 2021-10-24

Weaponizing social media Trolls, bots, lulz, infowars and other moods of the modern networked ape 2019-10-21 – 2021-10-24

Networks and graphs, theory thereof 2014-11-24 – 2021-10-20

Economics on networks 2020-05-17 – 2021-10-16

Neural music synthesis 2016-01-15 – 2021-10-14

Research discovery Has someone answered that question I have not worked out how to ask yet? 2019-01-22 – 2021-10-13

Random neural networks 2017-02-17 – 2021-10-12

Missing data Imputation, estimation despite etc 2021-10-07

Brains Neural networks made of real neurons, in functioning brains 2014-11-03 – 2021-09-26

Recurrent neural networks 2016-06-16 – 2021-09-06

Governance of the commons On the mysterious fact that most people get on with most of their neighbours most of the time 2014-10-29 – 2021-09-02

Scientific community Descriptive and normative 2021-08-24

Designing social movements Minimum viable utopia 2021-05-01 – 2021-08-11

Contact tracing Reverse engineering social graphs for the control of contagions of pathogens, subversive ideology and other substances of interest 2020-03-21 – 2021-07-28

Science History, sociology and philosophy thereof 2017-07-08 – 2021-07-21

Contagion processes and their statistics 2016-08-30 – 2021-07-15

Media virality Strategic modelling for content creators 2016-08-30 – 2021-07-15

Learning summary statistics 2020-04-22 – 2021-07-15

Graph sampling Estimating functionals of graphs 2020-02-15 – 2021-07-06

Applied string mangling Regexes, parsing, tokenising etc 2019-12-09 – 2021-07-05

Distributed sensing, swarm sensing, adaptive social learning 2014-10-13 – 2021-06-28

Learning on tabular data 2020-11-30 – 2021-06-21

Social norms 2019-10-07 – 2021-05-10

Queerness 2021-05-06

Science; Sociology and institution design for Scientist, falsify thyself 2020-05-17 – 2021-03-30

Learning on manifolds Finding the lowest bit of a krazy straw, from the inside 2011-10-21 – 2021-03-03

Causal inference in the continuous limit 2021-02-17

Efficient factoring of GP likelihoods 2020-10-16 – 2020-10-26

Graph computation 2014-12-17 – 2020-09-20

Independence, conditional, statistical 2016-04-21 – 2020-09-13

Dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11

Causal graphical model reading group 2020 An introduction to conditional independence DAGs and their use for causal inference. 2020-08-30 – 2020-09-03

Causal Bayesian networks Staged tree models, probability trees …Causlan Bayesian networks 2020-11-01 – 2020-09-01

Dilemmas of collective action 2014-11-25 – 2020-08-01

Workhacks How to succeed in business (with or without trying) 2020-07-19

Designing less toxic social media 2020-07-12

(Approximate) matrix factorisation 2014-08-05 – 2020-07-03

Economics of insurgence 2015-02-02 – 2020-07-01

Learning of manifolds Also topological data analysis; other hip names to follow 2014-08-19 – 2020-06-23

Pluralistic ignorance We all believe that we all believe what we do not believe 2020-06-03

Inference on social graphs Heterogeneous media and controls 2019-09-22 – 2020-06-03

Natural gradient descent Climbing slower on the tricky bits 2019-07-18 – 2020-05-26

Incentive mechanism design Markets, cakes, karma, and games 2014-09-22 – 2020-05-24

Measurement, analytics and performance indicators under Knightian uncertainty 2014-09-22 – 2020-05-24

Directed graphical models 2017-09-20 – 2020-05-13

Statistical relational learning 2020-04-26 – 2020-04-27

Post stratification Making the optimal beverage from the fruit life gave you 2020-04-22

Academic publishing 2015-07-07 – 2020-04-16

Learning graphical models from data What is independent of what? 2017-09-20 – 2020-04-11

Analysis/resynthesis of audio 2016-01-15 – 2020-04-09

Epidemics 2020-03-10 – 2020-04-03

Mechanism design for reputation systems Karma, credit scores, pagerank… 2014-08-05 – 2020-03-02

Learnable indexes and hashes 2018-01-12 – 2020-02-18

Potential theory in probability Something about harmonic functions or whatever 2020-02-12

Conditional expectation and probability 2020-02-04

*-omics 2016-08-12 – 2020-01-22

Applied psephology 2016-07-12 – 2020-01-20

Information geometry 2011-10-21 – 2019-12-27

Factor graphs 2019-12-16

Audio source separation 2019-11-04 – 2019-11-26

Inference on graphical models Given what I know about what I know, what do I know? 2017-09-20 – 2019-10-28

Undirected graphical models 2017-09-20 – 2019-10-28

Non-negative matrix factorisation 2019-10-14

Probabilistic graphical models over continuous index sets 2014-08-05 – 2019-09-25

Fourier interpolation 2019-06-19

Topology, applied to problems I know about 2015-01-23 – 2019-06-15

Probabilistic graphical models Cleaving reality at the joint 2014-08-05 – 2017-09-11

Quantum-probabilistic graphical models 2017-08-07

Marketing psychology 2017-04-27 – 2017-05-29

UNSW Stats reading group 2016 - Causal DAGs An introduction to conditional independence DAGs and their use for causal data. 2016-10-17 – 2016-10-21

Inference from disorder 2016-10-19

Clustering 2015-05-22 – 2016-06-07

Coarse graining 2014-11-11 – 2015-12-02

Sigma algebras, probability spaces, measure theory The scaffolding of randomness 2015-06-20