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20 Ideas To Build Social Capital In The Data Science Ecosystem

Authors: Lawrence Gray;

20 Ideas To Build Social Capital In The Data Science Ecosystem

Abstract

We are all trying to establish ourselves and stand out in the ever-competitive Data Science ecosystem. What if we could do it in a way that benefits both us as individuals and the Data Science community? This talk will discuss a range of ideas for building confidence and brand for novice and experienced Data Enthusiasts. Simply attending a conference is a stepping stone for a beginner, whereas selecting to appear on a panel to discuss an open-source project could be an adventure for someone with more expertise. However, both pursuits put you on the correct path to achieving these goals. I will tell the story about my search for my place in the Data Science ecosystem, and I would like to assist you in finding yours. Building social capital doesn’t have to be a selfish endeavor. You should approach these opportunities with humility and honesty, and you should strive to build long-term, mutually beneficial relationships with the people you meet. Most importantly, be your most authentic self. We all want to be more connected to the Data Science community while advancing our careers and building experience. During this talk, we will discuss simple steps you can take to begin this fun journey, as well as more advanced avenues you can pursue. There are numerous activities you may participate in to build your social capital and help the community grow. We will talk about building your local LinkedIn Network, sitting on panels, volunteering on NumFocus committees, and 17 other ideas. Building social capital doesn’t have to be a selfish endeavor. You should approach these opportunities with humility and honesty, and you should strive to build long-term, mutually beneficial relationships with the people you meet. Most importantly, be your most authentic self. After this talk, I hope you’ll be inspired to go out into the world and grow our community.

Keywords

data science Social capital open science

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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