updates: impact data scientist post (#864)

docs/blog/2024-01-22-impact-data-scientists.mdx → docs/blog/2024-02-15-impact-data-scientists.mdx

@@ -12,6 +12,8 @@ This post is our first step in trying to change that. In it, we discuss:
 1. Why we think the Impact Data Scientist is an important job of the future
 2. The characteristics and job spec of an Impact Data Scientist
 3. Ways to get involved if you are an aspiring Impact Data Scientist
+
+    > Spoiler alert: join [this groupchat](https://t.me/+QE6Pm1DtfktkYjYx) and apply for [data access here](https://www.opensource.observer/data-collective)
 
 One important caveat. This post is focused on building a network of Impact Data Scientists that serve _crypto_ open source software ecosystems. In the long run, we hope to see Impact Data Scientists work in all sorts of domains. We are starting in crypto because there is already a strong culture around supporting open source software and decentralizing grantmaking decisions. We hope this culture of building in public and experimenting crosses over to non-crypto grantmaking ecosystems. When it does, we’d love to help build a network of Impact Data Scientists in those places too!
 
@@ -45,7 +47,7 @@ Since there aren’t any examples of people who already have this job, let’s s
 🌟 Impact is your north star, but you are not beholden to a single definition of impact. You seek to accelerate impact in various forms. You acknowledge that to accelerate impact you need to measure it, and that measurement is fraught with problems. This complexity doesn’t demotivate you, however. You accept that impact measurement is like an ocean: from the shoreline it looks smooth and monotone, but once you start wading in you realize it contains entire worlds. This expansiveness motivates you to go deeper, to seek better and better explanations, and to dive well below the surface. When you discover things, you bring them back to the surface in the form of recommendations, practical insights, and new instruments. As an Impact Data Scientist, you would embrace complexity but you would also invite others to jump in and explore the waters with you.
 
 
-💸 You are not a naive idealist. You know that funding matters. You know that to create more impact you need to reward at least some of it, financially. You want to create loops where value flows upstream in response to impact captured downstream. You believe in markets but you also see market failures all around you. You see markets as a game but decidedly not a zero-sum game. As an Impact Data Scientist, your objective function would be to optimize the amount of positive impact per unit of money spent.
+💸 You are not a naive idealist. You know that funding matters. You know that to create more impact you need to reward at least some of it, financially. You want to create loops where value flows upstream in response to impact captured downstream. You believe in markets but you also see market failures all around you. You see markets as a game but decidedly not a zero-sum game. As an Impact Data Scientist, you would pursue the Platonic ideal of increasing the amount of positive impact per unit of money spent.
 
 
 🏐 You are excited about designing better games. You are curious about how behavioral psychology, mechanism design, cognitive biases, and measurement instruments affect outcomes. Specifically, you want to apply these concepts to _the allocation game_. The allocation game is a game of allocating pools of money across different sets of projects based on impact. Even though you’ve never explicitly sat down to play the allocation game, you realize that you’ve been playing allocation games (designed by other people) your whole life. You play them when you vote, when you create a playlist on Spotify, when you leave money in the tip jar. You recognize that the result of these allocation games is as much a function of the [rules of the game](https://docs.opensource.observer/blog/levels-of-the-game) as it is the people invited to play. As an Impact Data Scientist, you would be hands-on crafting and refining some of these rules. You would want to use your unique blend of skills to enhance the fairness, effectiveness, and fun of these economic and social games.
@@ -61,10 +63,10 @@ It is helpful but by no means essential that you are already proficient at codin
 
 What would be the job spec of an Impact Data Scientist? Here are some of the requirements we’d be looking for:
 
-* **Stack and connect the data**. Embrace the challenge of identifying, combining, and analyzing novel datasets. Your worldscape is vast, starting with the EVM, connecting it to off-chain code repositories, and expanding to all the ways that technology and digital public goods interface with us in our everyday lives.
+* **Stack and connect the data**. You love to discover, combine, and analyze novel datasets. You're excited about first connecting EVM data to off-chain code repositories, and then expanding to all sorts of domains where digital public goods interface with our everyday lives.
 * **Bring rigor to impact measurement**. Imagine if all the analytical horsepower that goes into running a hedge fund or being number one in an e-commerce market were applied towards tracking open source impact? You’re ready to learn the dark arts so you can conjure them for the public good. 
 * **Conduct hypothesis-driven inquiry**. Embrace a scientific mindset, formulating hypotheses and critically evaluating biases without getting too lost in the theory. Your job is to seek better explanations for complex problems, but to be practical in testing the accuracy and reach of your explanations in the real world.
-* **Nerd out**. Delve into the complexities of behavioral psychology, game theory, and human biases. Your understanding of these elements is crucial in shaping funding allocation outcomes and governance dynamics. You should find yourself in settings where you are an easy nerd snipe and you should hone the skill of nerd sniping others.
+* **Nerd out**. Go down rabbitholes and apply empirical data to behavioral psychology, game theory, and human biases. Your understanding of these elements is crucial in shaping funding allocation outcomes and governance dynamics. You should find yourself in settings where you are an easy nerd snipe. You should hone the skill of nerd sniping others.
 * **Build in public**. Champion open source principles, seek out criticism, engage in a robust peer review process across our digital commons and decentralized networks. Your voice is critical in spreading a culture of transparent, iterative learning and discovery. Ship early and check your ego at the door.
 * **Make an impact**. Apply your skills in communities and causes that you care about and are affected by. Build credibility and show up consistently in those places. It’s very important to find practical use cases for your work. In our experience, this is often best achieved by serving people you already have some connection to and want to achieve their impact goals.
 
@@ -73,14 +75,18 @@ Again, we are NOT hiring right now, but we are looking for aspiring Impact Data
 
 ## Ways to get involved if you are an aspiring Impact Data Scientist
 
-The first step is to [join the data collective](https://www.opensource.observer/data-collective). Membership is free but we want to keep the community close-knit and mission-aligned.
-
 Here’s the master plan:
 
-1. Assemble a close-knit group of aspiring Impact Data Scientists and emerging practitioners (the “data collective”)
+1. Assemble a close-knit group of aspiring Impact Data Scientists and emerging practitioners
 2. Build infrastructure, tooling, and educational content to serve their needs
 3. Focus their analytical horsepower on ecosystems that are deploying significant capital to open source and that stand to benefit most from impact tracking
 4. Reward contributors retroactively for the impact of their work
 5. Keep iterating until Impact Data Scientist becomes an actual full-time role, either from within or as alumni of the collective
 
-Again, if this speaks to you, apply to [join the data collective](https://www.opensource.observer/data-collective). Our docs are still WIP, but check out our [contributing](https://docs.opensource.observer/docs/contributing/intro) section for some specific examples of the infrastructure and tooling we’re looking to offer Impact Data Scientists. We are also working with other practitioners and theorists as a part of [regenlearnings.xyz](https://regenlearnings.xyz/), helping with the “empirical data” vertex of the triangle. Check out the site and join the group chat!
+If this speaks to you, then there are two action items:
+
+1. Join [this groupchat](https://t.me/+QE6Pm1DtfktkYjYx). We are also working with other practitioners and theorists as a part of [regenlearnings.xyz](https://regenlearnings.xyz/), helping with the “empirical data” vertex of the triangle. 
+
+2. Apply for [data access here](https://www.opensource.observer/data-collective). Membership to the Kariba Data Collective is free but we want to keep the community close-knit and mission-aligned. Check out the [contributing](https://docs.opensource.observer/docs/contribute/intro) section of our docs for some specific examples of the infrastructure and tooling we’re looking to offer Impact Data Scientists.
+
+Together, let's make 2024 Year 1 of the Impact Data Science movement!