Winner of the 2024 ALPSP Award for innovation in publishing. https://www.alpsp.org/news-publications/industry-news/alpsp-awards-winners-announced-at-the-annual-conference-2024/Clear Skies is the industry leader in papermill detection. Read about Clear Skies and the Papermill Alarm in:- Nature: https://www.nature.com/articles/d41586-023-03464-x- Science: https://www.science.org/content/article/fake-scientific-papers-are-alarmingly-common- The Wall Street Journal: https://www.wsj.com/science/academic-studies-research-paper-mills-journals-publishing-f5a3d4bcContact us for details of how to subscribe.Clear Skies created:- The first commercial service dedicated to papermill detection. The Papermill Alarm: https://medium.com/@clearskiesadam/patterns-and-evidence-469b3f206055- The first duplicate submission detector for papermill detection. https://medium.com/@clearskiesadam/how-to-find-all-the-papermills-step-1-f00c624facb1- The current accepted estimate for the scale of the papermill problem at industry-scale. https://www.nature.com/articles/d41586-023-03464-x

Key achievements:- Paper-mill & other misconduct detection at scale- Journal-level competitor analysis including subject-areas, citations and peer-review standards.- Publisher-level competitor analysis (market shares including OA)Skills and experienceProjects: paper mill detection, misconduct detection, citation prediction, APC modeling, rejected article tracking, text visualisation, COVID classifier, process modeling, statistical testingBig data: Microsoft Academic Graph, CrossRef, Dimensions, Web of ScienceDatabases: Elasticsearch, MS SQL, SQLite, MongoDB, PostGreSQL,Wrangling: Python, pandas, R, SparkCloud: Azure, DataBricks, Deep Learning: Tensorflow, Keras, PytorchNLP: BERT, HuggingFace, SpaCy, classification and clusteringVisualisation: Dash, Plotly, Bokeh, GGplot, Seaborn, MatplotlibStatistics/ML/prediction: A/B testing, citation prediction, price modelling, author-profiling, modeling of copyediting processes, analysis of peer-review, fbprophetApps: Flask apps for referee and journal recommendationAPIs: FastAPI for data delivery

- Carried out market analysis using Python and the ArXiv API.- Introduced statistically rigorous A/B testing with R to measure and visualise the effectiveness of promotions.- Published the complete scientific output of NASA's Gravity Probe B space mission.- Worked with Nobel Laureate: Kip Thorne and the academy award winning visual effects team behind Chris Nolan's Interstellar on 'The Interstellar Paper' (perhaps the first peer-reviewed physics paper to come out of a Hollywood movie).

- Wrote the first machine-learning applications to use IOP's editorial data for automated referee selection (an early effort not used in production)- Created the first IOP journal blog at http://CQGplus.com Day to day:- Team leadership, line management, annual budget- Editorial Board management including annual international board meeting- Community engagement: public talks, events, extensive international travel

Managed peer-review, special issues and some promotional work for Journal of Physics D: Applied Physics and Semiconductor Science and Technology.

Involved in all aspects of running the business. Modelled production processes to produce an automated costing algorithm for optical components, web development, search engine optimisation. Negotiated sales and purchases.