Event Title
Making Connections: Rethinking Models
Location
Hart 115
Start Time
13-5-2015 12:45 PM
End Time
13-5-2015 1:15 PM
Description
How to Apply and Not Apply Probability Judgments
Dr. Edward James
We make such claims as, “The probability that it will rain is x%,” which contain the idea that the probability applies to that case, the single case. I will briefly present why this is believed by many philosophers today and why these reasons are wrong. I will then show how we can be guided by probability judgments in the single case without them applying to the single case – e.g., from weather to surgeries. This will lead to some surprising and troubling conclusions—in particular that our agency is not as deeply grounded as we think it is.
Solar Power Industry Quantitative Modeling: A Literature Review
Dr. Xiangrong Liu
With the concern over large pollution emissions from coal-fired power plants and new commitments to green energy, the solar power industry has emerged in the last ten years. Stimulated by advanced solar power generation techniques, various policy incentives from government, marketing analysis for the industry, and wide adoption among consumers, lots of practical decision making problems arose and received growing academic attention. Based on over 300 papers published in the major journals between 1995 and 2014, this research provides a systematic overview of the mathematical models to assist decision making in the solar industry these past 20 years. It also categorizes all the work according to different schemes such as disciplines, methodologies, countries, and time periods. The findings discuss the directions of future research for quantitative modeling in the area. The experiences of using Nvivo will also be shared with the audience.
Making Connections: Rethinking Models
Hart 115
How to Apply and Not Apply Probability Judgments
Dr. Edward James
We make such claims as, “The probability that it will rain is x%,” which contain the idea that the probability applies to that case, the single case. I will briefly present why this is believed by many philosophers today and why these reasons are wrong. I will then show how we can be guided by probability judgments in the single case without them applying to the single case – e.g., from weather to surgeries. This will lead to some surprising and troubling conclusions—in particular that our agency is not as deeply grounded as we think it is.
Solar Power Industry Quantitative Modeling: A Literature Review
Dr. Xiangrong Liu
With the concern over large pollution emissions from coal-fired power plants and new commitments to green energy, the solar power industry has emerged in the last ten years. Stimulated by advanced solar power generation techniques, various policy incentives from government, marketing analysis for the industry, and wide adoption among consumers, lots of practical decision making problems arose and received growing academic attention. Based on over 300 papers published in the major journals between 1995 and 2014, this research provides a systematic overview of the mathematical models to assist decision making in the solar industry these past 20 years. It also categorizes all the work according to different schemes such as disciplines, methodologies, countries, and time periods. The findings discuss the directions of future research for quantitative modeling in the area. The experiences of using Nvivo will also be shared with the audience.
Comments
Moderator: Chien Wen Yu