Press Release - Office of College Advancement

Tuesday, November 3, 2009
Office of College Advancement
Ohlone College
510.979.7941
www.ohlone.edu

For Immediate Release:

Event: Ohlone College NASA Science Seminar
Astrobiology: Looking for Life Elsewhere in the Universe
Date & Time: Tuesday, November 10, 2009, 7pm-8pm
Tickets: Free tickets available on a first come, first serve basis at the Smith Center Box Office at 6pm the evening of the lecture (400 seat capacity).
More info: www.ohlone.edu/go/nasa

Ohlone College 8th Annual NASA Night Examines Life Elsewhere in the Universe

Fremont, CA—Exploration of our solar system has revealed the tremendous diversity of planets, moons and other celestial bodies – yet no evidence of life beyond Earth. However, over the last 15 years, precise astronomical measurement has allowed over 400 planets to be discovered around other stars. The smallest planet detected so far is about twice the size of Earth, however the new Kepler space telescope, run by NASA Ames Research Center, should be able to detect Earth-like planets.

Dr. Colin Goldblatt, NASA researcher of geochemistry and co-evolution of life and Earth's climate, comes to Ohlone College for the 8th Annual Ohlone College NASA Night, Tuesday, November 10 at 7pm. Dr. Goldblatt will discuss the following questions: Is there life on these planets? What would it be like and how would we go about finding it? How does studying the Earth help us answer these questions?

Dr. Goldblatt completed his Ph.D. in the UK at the University of East Anglia, School of Environmental Sciences. He is currently a Postdoctoral Fellow at NASA Ames Research Center, working in the NASA Astrobiology Institute. He researches the co-evolution of life, Earth's climate and geochemistry. He focuses on the evolution of oxygen and nitrogen in Earth's atmosphere, long term climate change and what it tells us about life elsewhere in the universe. He has been involved in Antarctic ocean-ography, evaluating a 'geo-engineering' solution to climate change and evaluating the accuracy of a model for the strength of the greenhouse effect used in a climate model.

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