一项新的实验元策略
A New Experiment Meta-Strategy

原始链接: https://chillphysicsenjoyer.substack.com/p/a-new-experiment-meta-strategy

由于杂乱的工作空间阻碍了独立科学研究,作者对其实验室进行了一次彻底的重组。他投入了时间和资金购置新的储物家具,并对所有的设备和化学品清单进行了系统化的编目。 为了摆脱“为特定项目购买耗材”的被动模式,作者转变了研究思路:他将库存清单导入 Claude,根据现有资源生成了一个潜在实验的“状态空间”。最终,他开发出一款定制的 QtPy 应用程序,该程序能够建议适合在桌面进行的实验,并根据复杂度和设置时间进行排序,同时提供实验方案。 该工具通过识别那些可以低成本验证的未探索现象(例如瑞利-贝纳德对流),帮助他在有限的业余时间内最大化研究产出。作者计划在未来迭代这一“实验元策略”,加入自动文献综述、创新性指标以及教育集成等功能。通过优化工作流,将重心从消费转向好奇心,他成功构建了一个将个人库存转化为发现跳板的系统,证明了在资源有限的情况下,只要有正确的分析框架,同样可以进行高质量的科学研究。

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原文

The messiness of my lab got so painful that I couldn’t do experiments easily. I would be demoralised by the effort of searching for things, or clearing up my desk every time. This made me less likely to do experiments after a tiring day at work. But given my schedule, not being able to do experiment on any free evening is extremely costly to me, since free evenings are scarce. And so maximising the probability of being able to do experiments in the free time I have is important. After all, I am still doing science outside my day job.

So, I spent a few hours reorganising things into different shelves to do with their purpose, like temperature, probes, and glassware. And then I spent a bunch of money on IKEA furniture. And then I spent like 4 hours building the shelves and desks, with my lower back hurting from bending over and screwing things.

Before:

After:

But in the process of cleaning up my lab, I kept a list of every component or piece of equipment that I had. I was hoping to eventually be able to give this list to Claude so that I could find stuff easily later, given how much time I’ve wasted losing stuff and then trying to find it again. I wrote a notes of everything I had. Stuff like the things I use to measure temperature, my probes, David Jordan’s bioreactor, and other stuff like

  • pressure manometer for biosecurity experiments

  • temperature, CO2, and particle concentration monitor for biosecurity experiments

  • ammeter / voltmenter / multimeter

  • cooking temperature probes

I also wrote all of the chemical samples that I had, down to the different types of geological samples that I own.

  • magnesium chloride

  • silver nitrate

  • dilute hydrogen peroxide

  • caustic soda

  • agar jelly

  • silicone oil

Most of the time, I buy things to replicate a certain experiment online. But I wondered what would happen if I tried to flip this on its head and tried to come up with stuff based on what I had already. Would this allow me to do interesting science more cheaply? If I did things this way, I wouldn’t need to buy things in the first place!

So just to see what would happen, I gave Claude this list of equipment. I then asked it to make a QtPy app of the state space of possible experiments that I could do with my equipment. I told it that the experiments should try to probe at complex phenomena that feels unexplored in literature, and could potentially be recreated in a home setting. In other words, I wanted the experiments to be amenable to independent scientists, and have the quality of ‘table-toppiness’ that I wrote here. The stuff right now I’m looking at is noisy phenomena, quantifying theory in biology, and organised structures like Rayleigh-Bernard convection cells.

I also got it to tell me what kind of dynamics each experiment would try to explore, and it also ranked each experiment by difficulty and time it took to set up. I also gave it the link to my blog, so that it As you can see, the left column is the list of stuff that I have. The middle column is the list of suggested experiments, and when you click on one you get a protocol to try and test out.

I think this is super cool, it also just makes organising my experiment ideas much easier, and I can update the equipment list as I buy more stuff. I’m keen to integrate this tool with learning tools, so I can get a better handle of the theory behind each dynamical system I am exploring. I also wanted to get better integration with literature review so that I could spot which phenomena feels really unexplored.

In the ideal case, this tool solves some optimisation problem where we maximise for novelty, diverge from current literature, but minimise cost and complexity of setup. There should also be a metric for the likelihood that a given experiment might agree or disagree with other experiments out there in current literature. And then maybe the user should also be able to subjective rank each experiment for interestingness. At the Independent Science Society we’ve been thinking a lot about how to optimise experiment quality with low resources, whilst still being curiosity driven, so I enjoy thinking about this problem a lot.

I’m not sure what you call this kind of kung-fu; experiment meta-strategy? In any case, there’s definitely some philosophy to dig into here.

This convection oscillation one really excites me. You heat up a beaker of water, and measure the temperature at the top and the bottom. I wonder if I can find a regime of heating where I can observe temperature oscillations from convection, and then find the regime when it goes crazy, and try to predict it. So I actually did end up buying some better temperature probes that were more loggable than what I had!

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