January 06, 2022

Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology

39 minutes

The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are still transitioning to meet the demand. Dr. David Bader, Distinguished Professor and Director of the Institute for Data Science at the New Jersey Institute of Technology, explains how his school is leading the charge to create opportunities for more students to study data science

Main Takeaways

Connecting Data and Graphs: A current area of focus concerning data science for Bader and his institution is taking huge amounts of data and associating it with corresponding graphs. This process helps provide context to the data so insights can be gleaned.
Arriving at Insights With Less Data: One difficulty with gaining insights is that typically it takes a lot of data points to make sense of a significant occurrence. Often, in the real world, insights need to be determined faster and with less data. Consider the archetype of the malevolent lone wolf who may have not had done the behavior previously. The answer is two-fold in order to stop a lone wolf type of situation. One, create more context to whatever data is obtainable. Second, consider data that may not be the exact same behavior but is still relevant.
Academia Is Rising to the Challenge: All manner of institutions now have massive amounts of data and need people to manage it and provide insights. Academia may be somewhat slow to change but there is a push from companies and from students for more data science programs. These sorts of programs are growing throughout higher education but there is much more room for expansion.

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January 06, 2022

Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology

39 minutes

Main Takeaways

Connecting Data and Graphs: A current area of focus concerning data science for Bader and his institution is taking huge amounts of data and associating it with corresponding graphs. This process helps provide context to the data so insights can be gleaned.
Arriving at Insights With Less Data: One difficulty with gaining insights is that typically it takes a lot of data points to make sense of a significant occurrence. Often, in the real world, insights need to be determined faster and with less data. Consider the archetype of the malevolent lone wolf who may have not had done the behavior previously. The answer is two-fold in order to stop a lone wolf type of situation. One, create more context to whatever data is obtainable. Second, consider data that may not be the exact same behavior but is still relevant.
Academia Is Rising to the Challenge: All manner of institutions now have massive amounts of data and need people to manage it and provide insights. Academia may be somewhat slow to change but there is a push from companies and from students for more data science programs. These sorts of programs are growing throughout higher education but there is much more room for expansion.

...more