Panel on "Increasing Scientific Productivity through Artificial Intelligence" at EuroScience Open Forum

1. Increasing Scientific
Productivity through AI
Amrapali Zaveri

2. Garbage Garbage
*http://www.ibmbigdatahub.com/infographic/four-vs-big-data
Biggest Challenge:
Poor Data Quality

3. Reproducibility
crisis in AI
*http://science.sciencemag.org/content/359/6377/725
*400 AI papers
6% code
30% test data
54% pseudo code

4. Data Quality Assessment

5. Invest in Data Quality Assessment !
Optimal combination of humans and machines towards data quality assessment

6. Improve FAIRness of digital resources*
*https://www.nature.com/articles/sdata201618
**https://www.nature.com/articles/sdata2018118
Assessment through FAIR metrics**

7. Fairness, Accuracy, Confidentiality, and Transparency
http://www.responsibledatascience.org/