INTEREST CATEGORY: INNOVATION AND TECH
POSTING TYPE: Calls: Conferences

Author: Suraksha Gupta

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21st IFIP Conference
e-Business, e-Services, and e-Society

Newcastle upon Tyne, UK – 13/14th of September, 2022

Full information about this event can be found here:

https://i3e2022.com/

Submission deadline: 12 Apr 2022

Doctoral and Early Career Researcher Symposium

Date: 12 September 2022

Location: Newcastle University Business School

New forms of data, data science and data analytics have reshaped social science research over the past years. Rapid growth has been spurred on by the proliferation of complex and rich data in science, industry and government, which are potentially available for research. As a result, (big) data analytics are no longer the preserve of engineering and computer science students, but as big datasets are increasingly becoming common in most domains, analytical skills have become essential to most fields of study and practice, and certainly to social science and Business School students. These trends have set new expectations about research questions, data collection and analysis methods as well as the general skills of doctoral students in social science research. Social science doctoral programmes have responded to the challenge of integrating new methods at the intersection of the computational and social sciences with new programmes and communities. Beyond these specialised programmes, the vast majority of doctoral courses have not caught up methodologically with advances in the area or are not able to harness the potential fully.

Doctoral students and early career researchers in management studies will need to acquire some familiarity with big data techniques alongside their traditional training over the course of their academic careers. If doctoral programmes do not include data science aspects (beyond the ones typically covered in quantitative methods) they risk limiting the scope of tackling objectives that are topical and relevant to theory and practice. For example, it limits the potential of projects to applying mixed methods approaches where qualitative insight can be combined with sources such as social media data or crowdsourcing . This is especially true when it comes to interdisciplinary projects that require novel ways of methodological synthesis. Introducing data science into doctoral programmes is not to say that such training would result in cross-functional, cross-discipline, all-knowing candidates who can tackle any research objective that can deliver valuable analytical insights. Instead, such curriculum and training interventions can complement the business/domain knowledge and the soft skills that graduates have with:

• framing complex data-driven research questions and data capturing skills
• data validation, manipulation and storage, using widely supported tools
• application of statistics, machine learning and predictive analytics
• data visualisation in appropriate forms

To this end our doctoral consortium puts a strong emphasis on increasing awareness of data related opportunities and challenges.

Provisional Programme

Programme: 12th of September

12th of September
08.30 – 09.00	Arrival and registration
9.00 – 09.15	Welcome note by the workshop organisers
09.15 – 10.30	KEYNOTE
10.30 – 10.45	Coffee Break
10.45 – 12.00	Engaging with Data Science: Data collection, analysis and visualisation
12.00 – 12.45	Lunch
12.45 – 14.00	Prof Savvas Papagiannidis: “Working on big data projects”
14.00 – 14.15	Coffee Break
14.15 – 15.30	Tackling data science problems in research
14.15 – 15.30	Prof Thanos Papadopoulos (Associate Editor of British Journal of Management): “Publishing in top journals: A data perspective”

Networking: Drinks Receptions

Contact

I3E2022 Conference Administrators

Email: conference@i3e2022.com

Venue:

Newcastle University Business School, 5 Barrack Road, Newcastle upon Tyne, NE1 4SE, United Kingdom

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Conference hashtag: #i3e2022

I3E2022

​The I3E conference is the flagship of event of WG6.11. This conference has become a continued tradition that attracts quality research and presentations. The conference aims to bring together contributions from a variety of perspectives, disciplines and communities for the advancement of knowledge in the areas of e-business, e-services and e-society.

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