Thanks for your interest Arepo! We will try to make future events more flexible to accommodate our global audience. For this current event, we needed a time that fit the presenters. We hope to have a recording online after the event and have them in the slack to answer follow up questions.
Patrick Liu
EA Data Science: JFI Social Impact projects presentation and Q&A
What stat are you working off of for people who become alcoholics?
I meant for the stat of non-drinkers to be a positive signal for the general population to choose not to drink and still feel normie. I believe there are hopeful stories of people beating alcoholism through behavior change such as moving to a new place where their identity is not tied to drinking. So I feel like stats don’t tell us everything.
Just came across this but if you are still looking, some of the EA slacks have a virtual coffee channel that uses a bot to match people up. Also, there is probably opportunity for interest based events to be organized.
Hey Devin, seems maybe your topic is the broader issue of addiction??
As part of the argument to advocate for people not to drink, maybe you want to point out the norm that about half of Americans don’t drink alcohol normally (https://www.cdc.gov/nchs/fastats/alcohol.htm) as opposed to this projection by movies and advertising that makes it seem like people drink every day.
Impactful Budget Tips + Budget Sample from EASE (EA org service providers)
Is there a cap on the number of participants? If I am already able to go to a physical EAG will I be taking a spot away from someone else in the virtual conference?
Hi Scott, do you know where we can get the data sets to add it to the EA Data Science repo?
Hey cool, I tried doing something similar throwing in links to NotionAI, telling it to turn the text into a table, and then prompting a column for a summary. NotionAI is about $10/month and your API calls were around $5. Do you think at some point in scale it might be cheaper to use notion? Then maybe you can get adhoc table filtering for free?
Right, other ways I’ve heard this described is operations is Business as Usual (BAU) and projects have a start date and end date. I’ve seen this important distinction when it comes to budgeting as BAU will be funded first with a certain % uplift of last year’s spend. Project costs tend to be more of a stab in the dark as it will be something that hasn’t been done in this iteration before (e.g. this location or population segment) and whatever will fit in the remaining budget plays a large selection factor.
Now programs....that’s like having your cake and eating it too.
I like this framework—“The Lazy Genius guide to nearly everything, but I’m too lazy to count”. It says to decide once for all the small stuff (like what to wear to the store or what to order for lunch) so you can enjoy the moment.
The Atlantic article by Jacob Stern points out that there is no great analogy to capture the essence of Artificial Intelligence. But if there was, then AI would probably just be a subcategory of that idea. AI can be thought of as a combination of things but it is really its own category. Perhaps the best way to put it—AI is like a Chimera with the destructiveness of Nuclear weapons, the uncontrollable virality of Social Media, the double-edged sword of Drug discovery, and the transformative power of Electricity. It is like a lot of things but put together, it may have far reaching implications we have not begun to comprehend.
Interesting, have you had a chance to pilot or trial this with any researchers so far?
Could EA benefit from allowing more space for contemplating a response after a post goes up?
This is a post from Jason Fried who write a lot about modern work practices implemented at his company 37 signals—https://www.linkedin.com/posts/jason-fried_dont-be-a-knee-jerk-at-most-companies-activity-7043983774434414593-Y0jG
He describes not encouraging instant, first impression reactions to idea pitches through flipping the communication process. They put out long form content about the idea before the presentation so there can be more developed responses. For posts in the forum, I feel like posts go for quick comments and that helps it rise to the frontpage and gather more comments. Its good and bad to me and I wonder what an improvement could look like.
(Yes, I knee-jerk wrong about this after seeing the post. )
[Question] What would need to be true for AI to translate a legal contract to a smart contract?
Regarding figure out your customer, I saw this recent post that makes me rethink my weighing on customer personas and shift more towards “Jobs to be done”. It taught me that personas are better collapsed into JtbD -
https://www.linkedin.com/posts/matthewlerner_i-once-wasted-1m-on-personas-matt-lerner-activity-7037014334195032064-mra-?utm_source=share&utm_medium=member_desktop
Hi, I think you might find something helpful from this system for information organization. It divides up four different purposes a user might be looking for information and so the optimal service model for each can be a bit different. Like you say in the post, some information can be too dense for new people onboarding so I believe the information needs to be presented in different ways.
I agree, especially with the point of iterating your “product”. I would take it further and add that in the beginning, the team should be trying to optimize learning. They should to open to changing the product and even throw away that v0.1 website/format. They should keep the learning and rebuild. Also consider that learning includes learning what doesn’t work, so keep the lesson, archive the product and treat it as a “one time we did that experiment”.
I started reading Arms and Influence at the library. I would it say it further applies the concepts of SoC, specifically to war or nuclear threat scenarios but SoC would be the first principles to analyze conflict. Interestingly, in the forward I read, Schelling mentions he realizes some of the things are out of date but left it in for historical context.
Yes, let me try this rephrase. The average American who currently drinks casually in social settings may be behaving so because they think everyone else is drinking and this would be considered normal behavior. Sharing a statistic that nearly half of American do not drink regularly (as defined by the CDC) shows that it is also normal behavior to go out and not drink.
I think this is a positive reinforcement for not drinking. On the other hand, I would say warning people they should not drink because there is a 14% chance they may become an alcoholic is negative reinforcement, which could lead to backlash or otherwise be questioned. It could be questioned if occasional drinking is the sole and direct cause for alcoholism. Rather, most cases probably arise from a combination of drinking and genetic prevalence, family influence, social norms, body type, stress triggers, and other factors. This could open the door to people deciding such scenarios don’t apply to them.