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AAS - 2018

The Winter American Astronomical Society (AAS) meeting is the largest meeting of professional astronomers in the world. NITARP educators attend an AAS first to meet their team, then they go home and work remotely for much of the year, and then attend an AAS to present their results.  At any given AAS, then, we could have two NITARP classes attending - those finishing up, and those getting started. Reload to see a different set of quotes.

The 2017 and 2018 NITARP teams attended the 2018 January AAS meeting in National Harbor, MD. The 2017 class was presenting results and the 2018 class was starting up. We had alumni raise money to come back as well. We sent about 50 people to the AAS and had a grand time. Please see the special article on NITARP at the AAS. All of the posters we presented are here:


Quotes

  • I plan on using this to try to foster more of an acceptance of Astronomy being a viable path for a career. My district tends to promote life science over the physical sciences. I want to use what I have learned to support more research into astronomy.
  • Learning about the available databases that are out there and open to everyone to use is great to know as well. I look forward to working with them more.
  • Beyond my classroom, I see other teachers in the department and school realizing a greater potential regarding what can be done at the secondary level. Much of my activity has led to focused discussions in lieu of our weekly planned in-service time. More teachers are coming around to the idea of engaging students in more real-world science, and the need for our own participation in opportunities for educators to explore modeling and research opportunities.
  • I was very impressed with how supportive and congenial astronomers are, and I have much more confidence as a high school astronomy teacher as a result of this support.
  • This experience has completely changed my perception of what astronomers do and what astronomy is. Astronomers work very hard at analyzing data and find multiple approaches to solve a problem. There isn’t a single way to do things, and often, data has to be reduced and manipulated multiple times. It requires exceptional perseverance and creativity.

AAS - 2018