eBook Analysis webinar

eBook Usage on a Global Scale 

Patterns, Trends, and New Conclusions
In this webinar, you will hear the results of a long-term, extensive study of ebook usage on a global scale. This study demonstrates trends across over 10,000 libraries of all types and sizes. With data from ebrary and EBL, covering well over a half a million titles, trends show broad patterns of usage and establish benchmarks that prove useful for libraries and consortia in collection development planning.
Successive versions of this analysis have been presented to audiences at multiple library conferences across the US and in webinars across the web. The data analyzed for the study have been gathered anonymously, looking at usage at the subject, regional, and title levels. All academic disciplines are covered and organized by LC Class, with identified subject usage trends that can inform collection development strategies, and implications for the future expansion of ebooks in libraries.
The webinar will be held June 14 at 2pm EDT. Register at http://acrlchoice.learningtimesevents.org/webinar-june142016/

Data Science Central Featured Article

Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of books, courses and conferences are available. You could spend months just figuring out what to do to get started, even to understand what data science is about.

In this short contribution, I share what I believe to be the most valuable resources – a small list of top resources and starting points. This will be most valuable to any data practitioner who has very little free time.

Map-Reduce Explained

These resources cover data sets, algorithms, case studies, tutorials, cheat sheets, and material to learn the most popular data science languages: R and Python. Some non-standard techniques used in machine-to-machine communications and automated data science, even though technically simpler and more robust, are not included here as their use is not widespread, with one exception: turning unstructured into structured data. We will include them, as well as Hadoop-based techniques (distributed algorithms, or Map-Reduce) in a future article.

1. Technical Material

2. General Content

3. Additional Reading

Enjoy the reading!

Learning Analytics Webinar

Learning analytics emphasize insights and responses to real‐time learning processes based on educational information from digital learning environments, administrative systems, and social platforms. However, are institutions, academics, students, and administrative staff prepared for learning analytics? Join AECT’s Research and Theory Division (RTD)  in exploring the impact learning analytics can have in higher education. This webinar will review learning analytics with a benefits matrix covering:


  • Essential institutional infrastructure
  • The desired staff capabilities
  • Approaches for automated semantic assessment
  • Privacy Issues


Register Here for the June 6 (noon EDT) free webinar: bit.ly/AECTanalytics

Las Vegas CFP


Submission Deadline: June 10, 2016,  11:59pm US Eastern Time zone (EDT)

July 25-28, 2016, Monte Carlo Resort, Las Vegas, USA

The following conferences will be held simultaneously (same location
and dates):

HIMS’16:    The 2nd International Conference on Health Informatics
and Medical Systems

ABDA’16:    The 3rd International Conference on Advances in Big Data

BIOCOMP’16: The 17th International Conference on Bioinformatics &
Computational Biology

DMIN’16:    The 12th International Conference on Data Mining

Contact Person: Dr. Lamia Atma Djoudi (a.djoudi.lamia@gmail.com)
Synchrone technologies, France


We anticipate having between 1,200 and 1,800 participants. Last year,
the Congress and its affiliated tracks had attracted speakers, authors,
and participants from over 178 different universities (including many
from the top 50 ranked institutions), major IT corporations, government research agencies, and a number of Venture Capitalists as well as distinguished speakers
discussing Intellectual Property issues.

All accepted papers will be published in printed conference books/proceedings, and will also be made available online. In addition, like prior years, extended versions of selected papers (about 40%) of the conference will appear in journals and edited research books (publishers include: Springer, Elsevier, BMC, and others); some
of these books and journal special issues have already received the top
25% most downloads in their respective fields. See the link below for
a very small subset of the books published mostly based on extended
versions of the accepted papers of this congress:

All Academy webinars

Attend A2 Academy’s Analytics for All – The Right Start ** – a complimentary course designed to help those who are just thinking of or delving into the world of data analytics. Courses in this Academy will give you advice and best practices on the key stages of launching and advancing an analytics strategy.

Courses in this five session Academy include:

Session 101: Creating an Analytically Driven Organization
6/7 – 2:00pm EDT
Session 102: Finding Data Sources, and Ensuring That It’s Good Data
6/9 – 2:00pm EDT
Session 103: Following the Path to Advanced Analytics
6/14 – 2:00pm EDT
Session 104: Analytics Talent: Find It, Use It, Retain It
6/16 – 2:00pm EDT
Session 105: Building a Culture of Analytics
6/21 – 2:00pm EDT

Register for as many sessions in this course as you’d like. Not sure if you can attend? That’s okay! Register anyway and we’ll let you know when the courses go on demand!

Register Now

*The first 25 attendees from the U.S. and Canada to attend this June 2016 A2 Academy in its entirety (all 5 sessions), will receive an All Analytics mug.

**This A2 Academy course consists of (5) 45-minute sessions. Format of this course is audio lecture with slides, followed by interactive chat.