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Kushal Chattopadhyay
Harvard GenEd 2023
Apr 16, 2023
In Thoughts from Learners
I thought the most interesting thing that Dan Gilbert mentioned is how humans simulate the future. In his explanation, he talked about how humans always make future predictive simulations using their past knowledge of the topic. The example he provides is beaches in Hawaii -- we simulate this using our past knowledge. However, humans often only focus on the extraordinary in their past, and thus future predictions are often incorrect. This was interesting as it opened my eyes to potential flaws in how we conduct our predictions. Unasked question: I would love to learn more about the psychology of prediction and wanted to ask how this way of predicting things changes between countries. As someone who has lived in multiple countries worldwide, I have seen this science been conducted in numerous different ways. I also have seen countries that actively try to reduce their data thereby making prediction impossible, for example France collects zero race data whatsoever. I wanted to see if there were any significant psychological differences between countries and worldwide on prediction,
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Kushal Chattopadhyay
Harvard GenEd 2023
Apr 10, 2023
In Health
I really liked learning about personal genomics from watching this interview. I especially liked learning about the psychology behind the projects conducted. One example was learning about how many friends of Church, when pregnant, did not want to even know their future baby's gender. This was very surprising to me as I would assume that since your baby is such a large part of your life, most people would want to know the gender prior to prepare. I also was surprised by the fact that 80% of babies that receive a certain gender assignment in the US are female in contrast to in China. I did some research and found that indeed women have a preference for women while men do not have a significant preference, probably why in the US the female gender is more often chosen than the male gender. In contrast, in China and India, perhaps due to traditional gender roles and much more restricting societal structures males are preferred. If I had conducted the interview I probably would ask about what the future of genomics is and what the dangers could be, especially in relation to science fiction, a genre I enjoy very much. One book I read recently was Brave New World, and it clearly demonstrates the damage that hypercontrolled genomics can cause to an entire society. Another is Oryx and Crake, where genetically engineered humans take over the world after a wipeout of others. I would like to ask what the ethical and moral repercussions of adjusting one's genome are. https://www.purdue.edu/uns/html4ever/2004/041213.Goodwin.gender.html#:~:text=Their%20results%20show%20that%20women,showing%20a%20preference%20for%20men.
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Kushal Chattopadhyay
Harvard GenEd 2023
Mar 29, 2023
In Earth
I thought that it was interesting to hear a scientist like Dan Kammen speak about the importance of behavioral economics and psychology and go so far as to say that climate science itself has been overanalyzed. The former is extremely important as although climate science can tell us what must be done, ultimately the people helping resolve climate change and curb the effects are the people, and it is crucial to be able to convince them in an effective manner to contribute to the welfare of our society. One thing I have seen is that many countries face a Prisoner's Dilemma when it comes to climate change -- people think that other countries are emitting high levels of CO2, and thus it is in the country's best interest to also emit these high levels, but actually if both emitted less it would be the best outcome. This is an example of why game theory applied to climate is very important. One question I would ask is regarding climate change in rural areas and how to reach out to villages and other rural factories to reduce emissions there. Often things like brick factories or high-emission plants are overlooked when they are not in the city and especially when they are in third-world countries. How can we apply prediction mechanisms to best understand these factories' emissions, which are not publicly available? In addition, how can we effectively ensure that these plants have less emissions?
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Kushal Chattopadhyay

Harvard GenEd 2023
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