Sims 2 University

Full-color pages detailing how to: *Crash parties, get initiated into a secret society, hack your grades, and graduate with honors *Keep your Sims' grades on track in all 11 majors *Secure your final degree and open up four new career paths *Details on the all-new young adult age, influence, and lifetime wants *Charts and tables covering objects and socials *Tours of all colleges and their student bodies *Covers the original Sims 2 plus the expansion!

• Five all-new careers exposed, including cool career objects! • Immerse your Sims in ten engrossing hobbies • All new Talent Badges revealed • Dream big. Earn rewards. Learn how inside!

Make it a night to remember -Complete catalog of over 125 new Objects and Items -Details on the new Pleasure and Aspiration -Create the ultimate social butterfly with details on fun group outings night after night -Send your Sims to the fanciest restaurant and the dingiest dives in the new downtown neighborhood -Build the downtown of your dreams -Become a true creature of the night--live the life of a vampire or a partier -Be a winner at the dating game with tips for supercharging romantic pursuits

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.