On Friday, I'm attending and speaking at the Leaders in Software and Art Conference, organized by Isabel Draves. LISA is an amazing gathering of artists interested in technology and software. For example, there is a panel on 3D printing and hardware hacking, and one on "creative coding, art and advertising". Check out videos from past years, and click here to register. My talk is at around 3:30 in a tightly packed day of activities.
« Q&A on Big Data | Main | WSJ tells stories about working women »
A gathering of artists and technologists this Friday
|
|
The comments to this entry are closed.
Search3
Recent Posts
- Who's the richest person in the world right now?
- Practical issues in observational studies
- When you don't need data
- Strategies for validating observational studies 2/2
- Strategies for validating observational studies 1/2
- Know your data 34: we reserve the right to refuse service to anyone
- Too good to be true instinct
- Is this data science professor a victim or a villain?
- So what if rule-breakers are unvaccinated
- The traffic accidents study exposes the lamentable state of Covid-19 science
Recent Comments
- Kaiser on Practical issues in observational studies
- Dale on Practical issues in observational studies
- Antonio on Who's the richest person in the world right now?
- Michael Droy on Who's the richest person in the world right now?
- Antonio Rinaldi on When you don't need data
- Ron Kenett on When you don't need data
- David Norman on When you don't need data
- Eric Novik on When you don't need data
- Kaiser on When you don't need data
- Michael Droy on When you don't need data
Next Events
Jan: 10 NYPL Data Science Careers Talk, New York, NYPast Events
Aug: 15 NYPL Analytics Resume Review Workshop, New York, NYApr: 2 Data Visualization Seminar, Pasadena, CA
Mar: 30 ASA DataFest, New York, NY
See more here
Principal Analytics Prep
Copyright
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License
Community
- Andrew Gelman
Statistical Modeling, Causal Inference and Social Science (Columbia) - Ben Goldacre
Bad Science, debunking bad medicine - Cathy O'Neil
mathbabe: Exploring and venting about quantitative issues - Chance News
Statistics in the news - Christian Robert
Xi'an's Og: statistics, theory (Paris Dauphine) - David Spiegelhalter
Understanding Uncertainty (Cambridge) - Dean Baker
Beat the Press: economics - Felix Salmon
Economics - Franz Dill
The Eponymous Pickle - JMP
Statistics, dataviz, experimental design, etc. - John D. Cook
The Endeavour: Statistics, applied math, computing - Larry Cahoon
Good Stats, Bad Stats - Larry Wasserman
Normal Deviate: statistics, theory - Michael Trick
Operations research (Carnegie Mellon) - Nate Silver
FiveThirtyEight: Polls, politics, sports - John Johnson
Biostats, clinical trials - Significance Magazine
From RSS and ASA - Simply Statistics
Jeff Leek, Robert Peng, Rafa Irizarry (Johns Hopkins) - Social Science Statistics
Harvard - STATS
Numbers Behind the News (GMU)
Categories
- Aggregation (130)
- Algorithms (108)
- Analytics-business interaction (212)
- Artificial intelligence (41)
- Assumptions (65)
- Bayesian (10)
- Behavior (142)
- Bias (273)
- Big Data (279)
- Blogs (125)
- Books (32)
- Business (402)
- Business tip (20)
- Career advice (1)
- Causation creep (26)
- Cause-effect (240)
- Chapter 1 (29)
- Chapter 2 (49)
- Chapter 3 (23)
- Chapter 4 (49)
- Chapter 5 (19)
- Controls (96)
- Covid-19 (202)
- Crime (46)
- Current Affairs (357)
- Data (441)
- Data Science The Missing Pieces (8)
- Dataviz (42)
- Decision-making (152)
- Dilemma of being together (6)
- Economy (69)
- Education (99)
- Environment (8)
- Errors (270)
- Ethics (177)
- Fairness (19)
- False confession (2)
- False negative (77)
- False positive (114)
- Film (11)
- Food (62)
- Games (3)
- Health (305)
- Hiring (14)
- How to act like a data scientist (4)
- Inside the Black Box (2)
- Interview (10)
- Junk Charts (21)
- Know your data (50)
- Machine learning (88)
- Mass media (102)
- Medicine (235)
- Models (251)
- Music (6)
- Neat reads (7)
- Numbersense (14)
- Numbersense Pros (9)
- NumbersRuleYourWorld (10)
- Politics (107)
- Press (55)
- Principal Analytics Prep (12)
- Professional foul (3)
- Proxy unmasking (9)
- Rules (11)
- Science (521)
- Significance (162)
- Sports (62)
- Statbusters (12)
- StatImproWords (6)
- Statisticians (384)
- Story time (41)
- Story-first (4)
- Suggested reading (2)
- Surveys (33)
- Sway of being asymmetric (1)
- Television (7)
- Tests (194)
- Travel (49)
- Variability (261)
- Web/Tech (194)
- XYopia (4)
Comments