PPT-Experiments in I nnovat

i on by Robert Miller and Lisa Larson LYRASIS Leaders Forum 21 Richmond VA March 29 2018 Experiments in I nnovat i on by Robert Miller and Lisa Larson LYRASIS Leaders Forum 21 Richmond VA March 29 2018. For this p rp ose they m st b ab le to tell whether the caffeine concentratio n is b low or ab ove 0 The usual way to determine the caffeine concentration is to use HPLC This method is very accura te but has so me disadvantages eg its very costly T The tradeoff between internal and external validity. Natural sciences. In natural sciences, most experiments have been undertaken in carefully controlled laboratory conditions. Seeking laws of physics, etc.. Rosemarie Nagel . Universitat Pompeu Fabra. , . ICREA, BGSE . April 2012 . Course content. (in red: replication of experiment). Week 1. Introduction . guessing game. Week 2. Bargaining/public goods . Experimentation . Experiments and Torture. Some of the information is taken from Nazi Human Experimentation. Human Experimentation . Experiments on twins. Bone, muscle, limb and nerve transplant . Freezing experiments. Listening . to the Customers, not to the . HiPPO. Ronny Kohavi, . General Manager. Experimentation Platform, Microsoft. ronnyk@microsoft.com. . The Analytics . Revolution, Apr 2010. , . SDForum. 2. Amazon . . True Experiments. Characteristics. Threats to validity controlled by experiments. Threats not controlled by experiments. Obstacles to true experiments in the field. . Quasi-experiments. The logic of quasi-experiments . September 2000 ii iv First Scientific Experiments for the LCLSThe Scientific Advisory Committee (SAC) for the Linac Coherent Light Source (LCLS) hasselected six scientific experiments for the early ph Research Objective. Show direct cause & effect. Study relationships among variables for existing groups. Explain outcomes after the fact. Type of Design. True Experiment. Quasi-Experiment. Cross-Sectional. PPAP Meeting. Birmingham. 15 July 2009. Elisabeth Falk. University of Sussex. Def. current: running or under construction. Outline. Neutrino-oscillation experiments:. what to measure, and how. Accelerator-based experiments. Design and Analysis. STA 320. Design and Analysis of Causal Studies. Dr. Kari Lock Morgan and Dr. Fan Li. Department of Statistical Science. Duke University. Covariates. Pre-treatment variables. X: n x k covariate matrix. Ronny Kohavi, Microsoft. Slides available at . http://exp-platform.com. Part 1. 2. Amazon . Shopping Cart . Recs. Add an item to your shopping cart at a website. Most sites show the cart. At Amazon, Greg Linden had the idea of showing recommendations based on cart items. Xiaomei. Zhang. IHEP Computing . Center. Outline. Overview of IHEP experiments. General Challenges . Challenges and practice of software. JUNO Neutrino experiment . Status and challenges of computing. John Hey. The first in a. . course of lectures given at the University of Economics, . Ho. Chi Minh City . Lecture . 1, 20. th. July . 2022. John Hey. Who am I?. I am . John Hey. I am at the University of York and have been there for some 48 years. I am now Emeritus Professor of Economics and Statistics.. Quantitative Engineering Approaches. What do we know?. How do we design experiments and scale ?. Implications. Nothing except parameters we can vary. Statistical Experimental Design . Lots of experiments at all scales.