🔺 litmaps.com: shows you all the articles on your topic and cross-citation. Search using keywords, DOI, titles, and authors to visualize your field of interest
🔺 openknowledgemaps.org: comprehensively maps your research topic by 1) showing the main research streams within it, 2) identifying all relevant concepts and terms, and 3) clustering similar articles to make learning easier. It's a must!
🔺 researchrabbit.ai: helps you find similar articles or get notified when these appear, visualize article connections, and view author networks
🔺 elicit.org: AI research assistant that finds papers based on your research question. It gives you a summary of top-4 papers and shows 1) a gist of each paper, 2) the outcomes measured, 3) the number of participants, and interventions. It is WILD!
Use them together, or choose the one that works best for you. And just huge thanks to @LitmapsApp, #openknowledgemaps, @RsrchRabbit, and @elicitorg for your wonderful products that make our life easier ❤️
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1. No onboarding, having to piece together all the info
How do the printers work? What is FAIR data? For most of us, there was no comprehensive onboarding that'd explain how the academic environment works
💡Tip: team up with a more senior PhD student to get some lifehacks
2. Feeling frustrated, lost, lacking progress
Most of us have to define the project ourselves. An overwhelming amount of information and no clear "rules of the game" take their toll
💡Tip: narrow down, define your niche, read the best articles from your field, get feedback early
1⃣ Data challenges: new privacy regulations, no access to third-party cookies, and new post-covid advertising models
Some research questions to look at:
• What business models can help companies adapt to changing privacy policies?
• What available data (e.g., search data) should firms use to improve targeting?
• Can firms optimally combine pre and post covid advertising models?