4⃣ Highlight scientific terms or whole sentences to get their down-to-earth explanation
Co-pilot doesn't just help you understand them, but also cites the seminal papers in its answer!
5⃣ Ask the co-pilot to explain math equations, graphs, diagrams, or tables
Click at "Clip math and tables" in the co-pilot window 👉 select the equation, graph, or table to explain 👉 wait up to 10 sec 👉 enjoy a structured, easy-to-understand summary or explanation
6⃣ Explore the rest of the paper by asking co-pilot pre-set questions
It can explain the paper's:
• Abstract in simple terms or even in one line
• Key takeaways
• Uniqueness, contributions, and practical implications
• Main approaches
• Data used
• Results
• Conclusions
7⃣ Dive deeper by asking your own or follow-up questions
Example:
I asked how many papers a meta-analysis study reviewed
...and I got 1) number, 2) fields, 3) languages, and 4) timespan of the reviewed papers
It took <10 sec instead of 1h I'd spend reading the paper!
8⃣ Save the co-pilot chat for later, interact with the co-pilot in 10 languages, join SciSpace's discord, and, of course, follow the team on twitter: @scispace_
9⃣ Finally, SciSpace allows you to explore the citation network
See the citing and cited by of the article and get suggestions of other relevant papers
SciSpace makes scientific reading truly enjoyable, easy, and fast 💨
It answers any question you may have like an expert
It explains all the formulas, graphs, and tables like a caring teacher
And it's FREE, no sign-in required (only if you want to save your progress)
Disclaimer:
My Twitter is not commercial. It gives me the flexibility to only share high-quality tools that I genuinely enjoy
If I get asked to recommend someone's product, I first do a thorough background check of the company and a crash test of their tool 👇
If a company wants to thank me, they can do it by: 1) giving something to my Twitter followers 2) donating any amount to a charity of their choice
@scispace_ wants to encourage you to try SciSpace and share your best conversations with the co-pilot in the comments 👇
Three authors of the best conversations will get a Christmas present from SciSpace: any book from the image shipped to them! (results on the Dec 20th)
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🔺 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!
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?