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@@ -9,18 +9,21 @@ A few thoughts on some important topics
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Equity, diversity, and inclusion
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Academia would present itself as a merit-based community for the exchange of diverse, new, and evolving ideas. Unfortunately, academia is not immune to the systemic obstacles and personal biases that pervade society at large. Inequities, from recruitment to retention, distort how academia reflects the communities that surround it and underrepresents marginalized groups (i.e., historically or presently oppressed, exploited, and disadvantaged). Ethically, the imperative to reduce these harms is self-evident. However, 'practically' there are many benefits to building an equitable, diverse, and inclusive academic system. Science is a communal effort that thrives on the generation of new ideas and integration of multiple perspectives. We need diverse viewpoints and voices. For example, research groups and departments that mirror the backgrounds of the students they work with can best prepare the next generation of scientists to continue on. On an individual basis, a baseline we can all work from is to (_i_) be open to learning and updating our personal perspectives, (_ii_) fostering inclusive environments, and (_iii_) engaging with EDI as formal aspect of an academic role.
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My current institute is housed on the UBC Point Gray (Vancouver) campus that is on the unceded and colonized land of the xwməθkwəy̓əm (Musqueam) people. Although the University itself will undoubtedly remain, there are some small initiatives in place to better the connection between UBC academics and the indigenous communities connected to the land that the campus covers and neighbors.
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Use of LLMs and 'artificial intelligence' chatbots
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I have used AI in only a limited capacity, but am open to carefully exploring where and when to apply it. Any of my published work that uses 'AI' in a substantive way will be acknowledged and all collaborators will be consulted beforehand on such usage. Thus far, I have yet to ever use AI tools to change my writing or stand in for my own scientific thinking.
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However, I have use it to e.g., (_i_) wrangle dataframes and add complex aspects to plots in R (that I sanity check after), (_ii_) help me reassociate the right bits of my writing with their references after a citation manager spasm (that I check after), (_iii_) ballpark estimate plausible cell count to optical density correlations while setting up some lab pilots, or (_iv_) layout draft html code for the [Career Map](https://igwill.github.io/map/) page on this website (for which I learned just enough html to modify to my needs after). I’m open to learning more to smartly use, but not overly rely upon, this emerging technology. For now I treat it like a well-meaning and hard-working assistant, rather than an expert collaborator. If only it could also go pick up coffee too.
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Accessible science
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Open access and ideally society journals [...under construction...]
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