Showing posts with label ethics. Show all posts
Showing posts with label ethics. Show all posts

2022-01-28

what are the responsibilities of letter writers?

The Astronomical Data Group Meeting at Flatiron is a remarkable weekly meeting. It is always impressive. Contributions are categorized into categories like words, statistics, visualization, and feelings and so on. But many of the most interesting conversations have come from the feelings category! Today was no exception. Alex Gagliano (UIUC) asked about the ethical responsibilities of letter writers (as in: letters of recommenation) to applicants, and the responsibilities the other way. It led to a great conversation about many things that we all think about but are not written down, taught, or explicitly discussed in our field. What are we doing? The union of the feelings-categorized conversations we have had in group meeting would make an admirable textbook!

2021-04-30

open research across the University

Scott Collard of NYU Libraries organized an interdisciplinary panel across all of NYU today to discuss open research. I often talk about “open science”, but this discussion was explicitly to cover the humanities as well. We talked about the different cultures in different fields, and the roles of funding agencies, universities, member societies, journals, and so on. One idea that I liked from the conversation was that participants should try to ask what they can do from their position and not try to ask what other people should do from theirs. We had recommendations for making modifications to NYU promotion and tenure, putting open-research considerations into annual merit review, and asking the Departments to think about how, in their field, they could move to the most open edge of what's acceptable and conventional. Another great idea is that open research is directly connected to ideas of inclusion and equity, especially when research is viewed globally. That's important.

2019-05-30

multi-messenger events and software

Today was a one-day workshop on multi-messenger astrophysics to follow yesterday’s one-day workshop on physics and machine learning. There were interesting talks and discussions all day, and I learned a lot about facilities, operations, and plans. Two little things that stood out for me were the following:

Collin Capano (Hannover) spoke about his work on detecting sub-threshold events in LIGO using coincidences with other facilities, but especially NASA Fermi. He made some nice Bayesian points about how, at fixed signal-to-noise, the maximum possible confidence in such coincidences grows with the specificity and detail (predictive power) of the event models. This has important consequences for things we have been discussing at NYU in our time-domain meeting. But Capano also implicitly made a strong argument that projects cannot simply release catalogs or event streams: By definition the sub-threshold events require the combination of probabilistic information from multiple projects. For example, in his own projects, he had to re-process the Fermi GBM photon stream. Those considerations—about needing access to full likelihood information—has very important implications for all new projects and especially LSST.

Daniela Huppenkothen (UW) put into her talk on software systems some comments about ethics: Is there a role for teaching and training astronomers in the ethical aspects of software or machine learning? She gave the answer “yes”, focusing on the educational point that we are launching our people into diverse roles in science and technology. I spoke to her momentarily after her talk about telescope scheduling and operations: Since telescope time is a public good and zero-sum, we are compelled to use it wisely, and efficiently, and transparently, and (sometimes) even explainably. And with good legacy value. That’s a place where we need to develop ethical systems, at least sometimes. All that said, I don’t think much thought has gone into the ethical aspects of experimental design in astronomy.