Big Data in Social Science (BDSS)
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like Fourth Industrial Revolution 4.0 (IR 4.0) from social sciences perspective through the IR 4.0 pillars of Big Data (BD), Internet of Things (IoT), Artificial Intelligence (AI), and Augmented Reality (AR).
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Created by experts, Soulera Academy’s library for the first stage covers 7 courses in social science. Always free for learners. Language of teaching (English + Arabic)
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Course 3- Big Data in Social Science (BDSS)
Raise the awareness about the important of big data (what is it, Where is it, How to get it, How to analyze it, & How to visualize it?
By: Dr. Osama Isaac — Founder
World-Class Education to All
Osama’s life mission is bringing back the soul, passion, and curiosity to education, with the dream to provide free, innovative and world-class education for anyone, anywhere with the focus in the Arab world. He is currently an associate professor at Faculty of Business, Lincoln University College (LUC), and founder of Soulera Academy.
Course BDSS Objective
– Make Sense of Big Data and raise the awareness of the importance of Big Data.
– Understand the Big Data definition, Evolution, Formats, Characteristics.
– Explain Where is Big Data, How to get it, How to analyze it, & How to visualize it?
– Assess the role of Big Data in our life and organizations.
– Demonstrate How to make the big data work for organizations.
– Understand the Relationships Big Data from one side and Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality (AR), Business Management, Marketing, & Scientific Research from the other side.
Course BSDD Description
Course 3 (BDSS) contain 22 Sessions as follow:
What is it?
Session 1: Big Data Introduction
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Session 2: Big Data Evolution - How much data?
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Session 3: Big Data Defined - What is Big Data?
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Session 4: Big Data Formats
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Session 5: Big Data Characteristics
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Session 6: Big Data Importance - Why is it a “big deal”?
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Session 7: Big Data Analytics
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Session 8: Big Data Industrial Applications
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Session 9: Big Data Scope
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Session 10: Big Data Pros and Cons
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Session 11: Big Data Challenges
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Session 12: Where is it?
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Session 13: How to get it?
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Session 14: How to analyze it?
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Session 15: How to visualize it?
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Big Data Relationships
Session 16: Big Data & Industrial Revolution 4.0 (IR 4.0)
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Session 17: Big Data & Internet of Things (IoT)
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Session 18: Big Data & Artificial Intelligence (AI)
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Session 19: Big Data & Augmented Reality (AR)
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Session 20: Big Data & Business Management
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Session 21: Big Data & Marketing
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Session 22: Big Data & Scientific Research
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recommended talks
Big data is better data
Kenneth Cukier, 2014, TEDSalon Berlin
https://www.ted.com/talks/kenneth_cukier_big_data_is_better_data
(Self-driving cars were just the start. What’s the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what’s next for machine learning — and human knowledge.)
Big Data will impact every part of your life
Charlie Stryker, 2014, TEDxFultonStreet
2,500,000,000,000,000,000 bytes of data (2.5 exabytes) every day is what we currently generate. The mid-decade turning point we are now experiencing is an unprecedented ability to process these data, to generate insights. These insights, gleaned from new data processing techniques, can impact how we shop, how we find jobs, dating, and even how doctors diagnose illnesses.
What do we do with all this big data?
Susan Etlinger, 2014, TED@IBM
Does a set of data make you feel more comfortable? More successful? Then your interpretation of it is likely wrong. In a surprisingly moving talk, Susan Etlinger explains why, as we receive more and more data, we need to deepen our critical thinking skills. Because it’s hard to move beyond counting things to really understanding them.
The human insights missing from big data
Tricia Wang, 2016, TEDx Cambridge
https://www.ted.com/talks/tricia_wang_the_human_insights_missing_from_big_data
Why do so many companies make bad decisions, even with access to unprecedented amounts of data? With stories from Nokia to Netflix to the oracles of ancient Greece, Tricia Wang demystifies big data and identifies its pitfalls, suggesting that we focus instead on “thick data” — precious, unquantifiable insights from actual people — to make the right business decisions and thrive in the unknown.
How Big Data Can Influence Decisions That Actually Matter
Prukalpa Sankar, 2017, TEDxGateway
Its crazy how big data is used to solve some kinds of problems and not others. Prukalpa Sankar reimagines a world where we can catch criminals at the scene of the crime – not years later, reroute cars in real time to prevent traffic congestion that we all hate so much, predict if a child is going to drop out of school before they even knows it and eradicate a disease as it breaks, not 1000s of deaths later.
What is Big Data and why does it matter?
Donna Green, 2015, TEDxSouthamptonUniversity
What is Big Data? Can it help us solve some of society’s big challenges? If so, how? Donna Green provides answers to these and other questions in this fact filled and fascinating talk.
How we can store digital data in DNA
Dina Zielinski, 2017, TEDxVienna
https://www.ted.com/talks/dina_zielinski_how_we_can_store_digital_data_in_dna
From floppy disks to thumb drives, every method of storing data eventually becomes obsolete. What if we could find a way to store all the world’s data forever? Bioinformatician Dina Zielinski shares the science behind a solution that’s been around for a few billion years: DNA.
Insightful human portraits made from data
R. Luke DuBois, 2016, TED
https://www.ted.com/talks/r_luke_dubois_insightful_human_portraits_made_from_data
Artist R. Luke DuBois makes unique portraits of presidents, cities, himself and even Britney Spears using data and personality. In this talk, he shares nine projects — from maps of the country built using information taken from millions of dating profiles to a gun that fires a blank every time a shooting is reported in New Orleans. His point: the way we use technology reflects on us and our culture, and we reduce others to data points at our own peril.
The weight of data
Jer Thorp, 2012, TED
Jer Thorp creates beautiful data visualizations to put abstract data into a human context. He shares his moving projects, from graphing an entire year’s news cycle, to mapping the way people share articles across the internet.
Making data mean more through storytelling
Ben Wellington, 2015, TEDxBroadway
Ben Wellington uses data to tell stories. In fact, he draws on some key lessons from fields well outside computer science and data analysis to make his observations about New York City fascinating. Never has a fire hydrant been so interesting as in this talk.
A visual history of human knowledge
Manuel Lima, 2015, TED
https://www.ted.com/talks/manuel_lima_a_visual_history_of_human_knowledge
How does knowledge grow? Sometimes it begins with one insight and grows into many branches; other times it grows as a complex and interconnected network. Infographics expert Manuel Lima explores the thousand-year history of mapping data — from languages to dynasties — using trees and networks of information. It’s a fascinating history of visualizations, and a look into humanity’s urge to map what we know.
The big-data revolution in health care
Joel Selanikio, 2013, TEDxAustin
https://www.ted.com/talks/joel_selanikio_the_big_data_revolution_in_health_care
Collecting global health data is an imperfect science: Workers tramp through villages to knock on doors and ask questions, write the answers on paper forms, then input the data — and from this messy, gappy information, countries and NGOs need to make huge decisions. Data geek Joel Selanikio talks through the sea change in collecting health data in the past decade — starting with the PalmPilot and Hotmail, and now moving into the cloud.
Visualizing ourselves ... with crowd-sourced data
Aaron Koblin, 2011, TED
https://www.ted.com/talks/aaron_koblin_visualizing_ourselves_with_crowd_sourced_data
Artist Aaron Koblin takes vast amounts of data — and at times vast numbers of people — and weaves them into stunning visualizations. From elegant lines tracing airline flights to landscapes of cell phone data, from a Johnny Cash video assembled from crowd-sourced drawings to the “Wilderness Downtown” video that customizes for the user, his works brilliantly explore how modern technology can make us more human.
How to Monetize Big Data
Mathias Lundo Nielsen, 2016, TEDxKEA
The exponential growth and availability of data has come to play a pivotal role in the manner in which individuals, companies and society at large operate. Big data has become a buzzword, and while businesses scramble to utilize the constant flow of information, a succesful formula for monetizing big data is yet to be found.
Data is the new gold, who are the new thieves?
Tijmen Schep, 2016, TEDxUtrecht
These days we should not just worry about big brother, we should worry about everyone. Getting access to people’s data is becoming easier every day. Together with a team of hackers, Tijmen Schep got access to people’s personal information, and used this to piece together the ‘National Birthday Calendar’ a database of all (!) Dutch people. Baffled by the ease with which the acquired the info, Tijmen wants challenge us to think deeper about technology, privacy, surveillance and power.
Big data and dangerous ideas
Daniel Hulme, 2015, TEDxUCL
This talk was given at a local TEDx event, produced independently of the TED Conferences. This is an illumining and animated talk about how Data and Artificial Intelligence effect our every day lives. It provides a framework for anyone to understand data driven decision making process, and raises critical moral, ethical and legal questions that society needs to address to ensure that our rights are kept safe and that we safeguard our very own existence.
The Future of Your Personal Data - Privacy vs Monetization
Stuart Lacey, 2015, TEDxBermuda
Big data is big business and as value is created from customer insight – but, where is the moral line? What happens when companies cross that line? What if consumers could flip the equation to offer their data directly to the companies they trust? The future could be customer monetized data.
Analyzing and modeling complex and big data
Maria Fasli, 2014, TEDxUniversityofEssex
This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it?
"I have nothing to hide", Data Privacy in 2020
Nelio Leone, 2019, TEDxAmityUniversityDubai
Here’s how a Growth Hacker, Nelio Leone shows you the real consequences behind the words: “I’ve got nothing to hide”. Follow his personal journey from Data Privacy Skeptic to Data Privacy Evangelist as he offers his vision for a “friendly tech” that empowers users while respecting basic rights.
Recommended Scholars & Intellectual Thinkers
– Alex Pentland
– Rob Kitchin
– Kenneth Cukier
– Yuval Noah Harari
– Kenneth Cukier and Viktor Mayer-Schönberger
so big data in social science ! i never thought it could be this much helpful and enjoyable ! not only you get to have a clear image of where is Big Data, How to get it, or How to analyze it but its all supported with loads of scientific evidences with makes it almost a one and only chance to improve perfectly regarding a topic you thought its boring or not important , thats how i would put it ! i am super recommending this to my close ones !
grab the opportunity and enjoy i say 🙂