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Jabberwocky Ecology

Jabberwocky Ecology
Ethan White and Morgan Ernest's blog for discussing issues and ideas related to ecology and academia.
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Adjust expectations, be flexible, support your groups Research will be different from normal for a while and even in the best cases it will also be slower. The shift to working remotely will limit the kinds of work we can do and everyone doing research is experiencing a dramatic disturbance to their lives. This means the people in our labs will need flexibility and support.

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Zoom works great: I’ve seen up to ~50 folks attending the talk remotely and slides with video. Everything connection wise worked well except for a single committee member with some minor freezing during the private defense. Have backup options: Give yourself time and backups in case things go wrong. Set up the connection early (15+ minutes) and ask the committee to show up early to check everything is working.

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Understanding and managing forests is crucial to understanding and potentially mitigating the effects of climate change, invasive species, and shifting land use on natural systems and human society. However, collecting data on individual trees in the field is expensive and time consuming, which limits the scales at which this crucial data is collected.

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It’s not uncommon to hear stories of mistakes resulting in graduates students missing paychecks. This is a major problem because most students live month-to-month and can’t wait for a missed check to be fixed in the next pay cycle. Despite the commonness and dramatic impact of missed pay in graduate school*, it’s common to see these issues written off as isolated incidents and not part of a more systematic problem.

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The weecology group is coming in force to the annual meeting of the Ecological Society of America which is being held in New Orleans next week. We’ve been up to a quite diversified list of things over the past year ranging from temporal dynamics of communities to forecasting and remote sensing. We also have people involved in a number of outreach or training events this year.

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We are excited to announce the first release of a new Julia package that let’s you run our Data Retriever software with a native Julia interface. For those of you not familiar with Julia it is a new programming language that is similar to R and Python, has a central focus on data analysis, and is designed from the ground up to be fast. It is an emerging scientific programming and data analysis language.

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Scaling-up ecological patterns and processes is crucial to understanding the effects of environmental change on natural systems and human society. We are piloting a Data Science Challenge where multiple groups attempt to use the same remote sensing data from low flying airplanes to infer the location and type of trees in forests. This will allow forests to be studied in detail at much larger scales than is currently possible.

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