The Sisters Science Club

We are a community based organization that strives to enhance science, math, and health in the schools and community through seven main areas.

CLICK ON ONE OF THE STARS on the image to the right & explore the club's activities.

Founded January 2011, the club is comprised of approximately 350 members - but there is no clubhouse, administration, or required annual dues. Rather, the club works by the community bringing volunteers and financial support to enhance the good ideas of the school's science teachers.

The club enjoys close support from Kiwanis, Rotary, The Roundhouse Foundation, The Sisters Garden Club, Energyneering Solutions, Saint Charles Medical Center, Cascades East Area Health Education Center (CEAHEC) and has been awarded grant support from the Oregon Community Foundation and the Meyer Memorial Trust.

Most importantly, numerous individuals see value in these programs and provide financial support through the Sisters School Foundation, a 501c3 organization. If you would like to join this effort, click here to reach our president!

From time to time the club receives thankyou notes from people, and the one that accompanied this illustration touched us. Our commitment to science education is unwavering, and your contributions are essential if we are to continue to innovate, explore and invest in science education and literacy. Click here to donate!

SciArt 2018 Winner below. Click the image to see the top 10 entries from this year's contest!

The deadline for submitting photos to the 2019 SciArt competition is mignight on March 8. Click here to learn more!

This year's MS & HS Design-Construct-Compete Contest rules are available here! To get a copy of the entry form for this challenge, click here! The rules for the Elementary School DCC Contest are available here.

 

7. Flight Science
6. Hutchinson Cancer Research
5. Belfry Community Talks
4. The Science Fair
3. Seed to Table Program
2. Sisters School District and Health Education
1. Sisters Schools
The fifth presentation of the 2018-19 Frontiers in Science Monthly Symposium series in Sisters is titled" Can Artificial Intelligence Fight Alternative Facts?," and is presented by Daniel Lowd , Ph.D., associate professor in the Department of Computer and Information Science at the University of Oregon, on Tuesday, February 26th.

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Both of these news stories are current, and widely circulated. Why is understanding the difference important?

These "news" videos are not the same as the image displayed to the right, or the data that can be viewed by clicking the image. By examining the data yourself, your conclusions about the news videos may change ... or not.

Save the Date For Future Belfry Talks!

Jan. 22 Dr. Kirsten Grorud-Colvert Oregon's Ocean: Local Legacy and Global Goals
Feb. 26 Dr. Daniel Lowd Algorithms and Artificial Intelligence: Science Takes on Fake News
March 26 Dr. Larry Price The Big Picture: Photographing the Black Hole at the Center of the Universe
April 23 Dr. Bob Collins The Brain, the Mind, and Society

 

 

Daniel Lowd is an Associate Professor in the Department of Computer and Information Science at the University of Oregon. His research covers a range of topics in statistical machine learning, including statistical relational representations, unifying learning and inference, and adversarial machine learning applications (e.g., spam filtering). He has received a Google Faculty Award, an ARO Young Investigator Award, and the best paper award at DEXA 2015. He also coauthored the book "Markov Logic: An Interface Layer for Artificial Intelligence."

Daniel Lowd's research is in statistical machine learning, with a focus on statistical relational learning and adversarial machine learning. Statistical relational learning focuses on the relationships among the examples, such as links among Web pages, friendship in a social network, or protein interactions in bioinformatics. This is done by by combining a relational representation, such as first-order logic, with a statistical representation, such as Markov or Bayesian networks.

This background gives Dr. Lowd standing when speaking about fake news, alternative facts ... whatever you call it ... and because this material that seems to be everywhere, and because there appears to be no way to stop it, this topic seems to be of crucial importance to our society

But what if fake news could be detected automatically? Associate professor Daniel Lowd will tackle the future of fake news: how neural networks can find patterns in text and images, how this technology can be used to detect fake news, and its limitations.

And while he works on this issue, the video below shows the direction that other research is going.

 

The presentation is bound to be fascinating, and I suspect we will all, once again,come away knowing a lot more than when we entered the Belfry. General Admission: $5.00. Teachers and Students are free. Social hour begins at 6, and the lecture starts at 7. See you there!