European Data and Computational Journalism Conference 2019

January 7-February 7, 2019 | Spain

The 3rd European Data and Computational Journalism Conference aims to bring together industry, practitioners and academics in the fields of journalism and news production and information, data, social and computer sciences, facilitating a multidisciplinary discussion on these topics in order to advance research and practice in the broad area of Data and Computational Journalism.Held in Malaga, Spain, the conference will present a mix of academic talks and keynotes from industry leaders. It will be followed by a day of workshops and tutorials.

Spotlight

The concept of Big Data as a Service (BDaaS) has emerged as an option in the past several years, as public cloud providers have introduced Hadoop as a Service and Spark as a Service offerings running on cloud-based infrastructure. As in the Infrastructure as a Service (IaaS) market, the cloud operating model of self-service and elasticity is compelling to many organizations deploying Big Data applications. However, until now, the benefits of BDaaS weren’t available for on-premises deployments of Hadoop, Spark, and other Big Data workloads.


OTHER PAST CONFERENCES

Chief Data & Analytics Officers Calgary 2022

November 15-16, 2022 | Canada

New to Western Canada this year, CDAO Calgary is designed for Chief Data Officer (CDO), Chief Analytics Officer (CAO), and senior data & analytics roles in Calgary and the surrounding provinces of Canada. This forum is led by CDOs, CAOs, and CDAOs but is open to all IT, Data, and Analytics Leaders from industries like Financial Services, Oil & Gas, Manufacturing, Retail, Tourism, and more, to allow you to meet and network with the very best of your peers from a range of organizations and experiences. Our attendees are Senior Data & Analytics Leaders who need to attract next-generation workers, build data-fueled teams and organizations, and insist on data transparency so they can modernize their teams, and improve data ROI.

The 4th Colloquium on Analytics, Data Science, and Computing (CADSCOM 2022)

November 19, 2022 | USA

The Twin Cities ACM Chapter invites students, faculty, and professionals to CADSCOM 2022! The 4th Colloquium on Analytics, Data Science, and Computing (CADSCOM) will be held in-person and virtually on Saturday, November 19, 2022. CADSCOM provides an excellent opportunity for faculty, students, and professionals to share their original research in data science, analytics, and computing. The submissions are peer-reviewed and double-blind reviewed. The colloquium will feature prominent keynotes, industry-faculty panels, and peer-reviewed papers. CADSCOM 2022 has been approved by the Association for Computing Machinery (ACM) as a chapter conference.

Introduction to Research Data Management and Data Management Plans

December 2, 2022 | Germany

CIVICA Research Open Science is one of the flagship initiatives of CIVICA – The European University of the Social Sciences. CIVICA is an alliance of eight leading European higher education institutions in the Social Sciences. Our work is on the application of Open Science principles to Social Science research. Our Open Science framework invites and encourages our students, researchers, faculty and professional services staff to engage with the principles, processes and tools which help to explore, share, disseminate and maximise research collaboration and outputs in the Social Sciences. Our programme of events includes formal training sessions and an informal webinar series on all topics relevant to the application of Open Science to the Social Sciences. Please feel free to view and join our online CIVICA Research Open Social Science community on Whaller.

Data Science Connect Conference 2022

October 19-20, 2022 | USA

The Fifth Annual Data Science Connect Conference 2022: "Data Science: What Lies Ahead" will feature data experts and practitioners across industries and disciplines as they discuss what lies ahead for data science in their respective industries and domains.

Spotlight

The concept of Big Data as a Service (BDaaS) has emerged as an option in the past several years, as public cloud providers have introduced Hadoop as a Service and Spark as a Service offerings running on cloud-based infrastructure. As in the Infrastructure as a Service (IaaS) market, the cloud operating model of self-service and elasticity is compelling to many organizations deploying Big Data applications. However, until now, the benefits of BDaaS weren’t available for on-premises deployments of Hadoop, Spark, and other Big Data workloads.

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