Problem: Search most covid related publications for information 

    Semantic search across article body and titles with simple UI 

        How?

        Something similar to this:

            https://www.kaggle.com/dirktheeng/anserini-bert-squad-for-semantic-corpus-search

        score and rank articles in a distributed way 

            When a search time comes in, multiple models may be used to score partitions across clusters and then rankings are reduced

    Also would be interesting:

        Distributed Citation Graph of articles in covid dataset 

            Clustering/Community Detection 

            Travel across Graph Visualization and pull corresponding article from DB

Tools and Techniques:

    Finetune pretrained language model on Covid articles and titles in a distributed way across clusters

        Something similar to this http://sc20.supercomputing.org/proceedings/tech_poster/poster_files/rpost111s2-file3.pdf

        https://towardsdatascience.com/text-classification-in-spark-nlp-with-bert-and-universal-sentence-encoders-e644d618ca32

Assumptions:

    The data is relatively clean and will require standard preprocessing (less than 5-6 hours of work) 

    Fine tuning a pre trained language model in a distributed way is not super expensive and well researched so there are tutorials and examples

    These are sophisticated tasks, but I am confident we should be able to tackle them in the timeframe given 

Once the system is in place what kinds of questions would like to answer?
What insights could you generate for users?
What could someone do with community detection on the citation network?
    Could you identify networks of research with high volume of research or many citations?
    Could this be helpful to someone who is trying to identify whose research to fund?
If it is too hard to fine tune a pre-trained language model what is your backup plan?