Tag: CDSSD
Love Data? Join Us During Love Data Week 2021, Feb 8-12!
Since our Love Data Week invitation post last year, the COVID pandemic has created a new world— and amazing new opportunities and challenges related to data. Just a peek at data.berkeley.edu (the portal for Berkeley’s Computing, Data Science, and Society Division) shows that data-related research during this past pandemic year, even with its intense and difficult challenges, has revealed new insights. Check out “Pandemic provides real-time experiment for diagnosing, treating misinformation, disinformation”.*
So, it’s fitting that Love Data Week 2021 at Berkeley, hosted by the UC Berkeley Library in partnership with Berkeley’s Research IT department, is focused on the kinds of issues we are confronted with in a wholly-online research environment. Join us on Tuesday for a session on ethical considerations in data, most definitely a concern with many of Berkeley’s researchers looking at issues related to COVID; on Wednesday for a talk on cybersecurity (aimed at graduate researchers but all are welcome); on Thursday for another security-related workshop, “Getting Started with LastPass & Veracrypt”; and on Friday for an introduction to Savio, Berkeley’s high performance computing cluster. Please click on this link for information on these, and registration links!
Questions? E-mail LDW 2021 at researchdata@berkeley.edu . And, if we’ve whetted your appetite for data and more data, take a look at the University of California-wide Love Data Week offerings. If you’ve ever wondered what an API is, or want a quick intro to SQL, or even just want to know what the acronyms stand for, there are these sessions and more!
* The same page makes it clear that data is for everyone; check out “I Am a Data Scientist”, about a student who came to Berkeley as an English major and discovered how data can “shed light on larger-scale questions”, and “Translating Numbers Into Words: The Art of Writing About Data Science”, featuring three Berkeleyites who are getting the word out about data.