Events Calendar

This one-and-a-half-day course is aimed at postgraduate researchers and analysts interested in the quantitative analysis of inequity and (socio-economic and regional) inequality in health.

This consists of lectures and practical sessions on measurement and interpretation of inequity and inequality in health and health care. Specifically, this course provides a gentle introduction to the concept of inequity, socio-economic inequality, and inequality of opportunity in health.

Register and find out more: https://www.ncrm.ac.uk/training/show.php?article=11979

​

Intended Audience:

This session is aimed at all staff involved in and supporting research as it is being funded by the UKRI research culture pot.

Session Overview:

The overall aim of the workshop is to contribute to enabling and supporting participants understand and develop ways of working that supports the building of compassionate and inclusive cultures. The workshop is learner centred and will combine practitioner action orientated learning, insight-based activities, and transformative change practice.

By the end of the session participants will:

• Understand the importance of interpersonal relationships in building compassionate and inclusive cultures.

• Have an awareness of ways to develop a personal approach to compassionate conversations.

• Have an understanding of how to enhance individual and collective working across the system, including teamworking, through compassionate leadership and conversations.

• Have an experiential understanding of compassionate inclusive leadership and how to apply this in their work, particularly in working collectively.

• Be familiar with ways to build compassionate conversations into everyday practices.

Dates & Times:

This workshop is running four times on the following dates:

You can book for any workshop group on Staffbook. If booking for groups 1 or 3, please ensure you sign up for both parts 1 and 2. 

The aim of this two-day training course is to introduce participants to the practice and ethics of ethnographic research.

Through a mix of plenary sessions, group and independent work, participants will learn the basic principles of participant observation and research design, as well as the foundations of ethical ethnographic research. The course will also examine the ways in which other qualitative and creative methods of data collection may be productively integrated in ethnographic research.

The course is run by the National Centre for Research Methods.

Find out more and register: https://www.ncrm.ac.uk/training/show.php?article=11970

​These weekly Q&A sessions, run by our specialist research data librarians, are for any member of staff or postgraduate researcher with questions about data management, including data management plans for grant proposals and projects, data storage, post-project data sharing of datasets.

Postgraduate researchers should ensure they have completed, or almost completed, the Blackboard course on PGR Data Management Plans before attending.

Additional support, including videos on various topics and online training, can be found on our webpages: https://library.soton.ac.uk/researchdata/support Undergraduates and taught students should book on our ‘Keeping on top of it all: managing your research material/data’ training session.

​We will work in partnership with our students to create a University experience that equips them with the skills and mindset to flourish in the world of the future and become the leaders of tomorrow. Teaching and learning practices are flexible and inclusive and are enhanced by opportunities for engagement with our world-leading research and enterprise activity. During their time at the University, and afterwards as graduates, our students will feel supported to thrive, and enjoy a sense of pride and belonging as engaged members of our community.

​We will work in partnership with our students to create a University experience that equips them with the skills and mindset to flourish in the world of the future and become the leaders of tomorrow. Teaching and learning practices are flexible and inclusive and are enhanced by opportunities for engagement with our world-leading research and enterprise activity. During their time at the University, and afterwards as graduates, our students will feel supported to thrive, and enjoy a sense of pride and belonging as engaged members of our community.

​Critical thinking skills are one of the most valued academic skills at a British University and one of the most important for being successful in academia. Critical thinking skills, however, are also one of the most difficult abilities to master for international students. While such a difficulty in ‘being critical’ is widely recognised, more needs to be done in terms of teaching to meet international students’ needs. The aims of this workshop is to help tutors to develop critical thinking teaching techniques and support students in the acquisition of higher cognitive competencies.

​In this one hour live online session you will learn decision-making and personal effectiveness techniques to overcome the initial fear of tackling challenging situations. You will learn how you can personally intervene when you see, feel or hear any type of behaviour that you think is hurtful or discriminatory. You will work though a number of scenarios and identify what options you have. You will be able to implement the learning from this session immediately.

A panel of researchers will discuss the archiving of qualitative data at a free webinar organised by QUEST (Qualitative Expertise at Southampton).

The event, on 23 June 2022, will bring together researchers from different disciplines and career stages to explore epistemological, ethical and practical issues.

The webinar has been organised as the expectation to archive research data for reuse becomes an increasingly common feature of the research funding landscape.

The speakers are:

•  Carolynn Low: postgraduate researcher at the University of Southampton
•  Susie Weller: Senior Researcher at the University of Southampton and University of Oxford
•  David Zeitlyn: Professor of Social Anthropology at the University of Oxford

Register for the webinar: https://www.eventbrite.co.uk/e/disciplinary-perspectives-on-archiving-qualitative-data-registration-341723041817

​

This pilot programme is funded through the UKRI Research Culture funding allocation, and is aimed at early career researchers and staff who are seeking to build their research portfolio.

Led by Dr Jeremy Hinks of Alpamayo Coaching Ltd, “Develop From Within” is a 2-part online workshop designed to support early career researchers through tailored use of the Lumina Spark personality profile coupled with two small-group coaching sessions. As well as support to think about your career development, benefits to participants include enhanced self-awareness, ability to audit personal skills, values and behaviours, and increasing your capacity for coping with change.  

Watch this short video to find out more about Lumina Spark: Loom: Lumina Spark | alpamayocoaching

Find out more about Alpamayo Coaching Ltd at www.alpamayocoaching.com 

Dates and Times:

This 2-part workshop is running four times in June and July 2022.

Book on Staffbook. Remember to book both parts 1 and 2 of your chosen group. 

There are only 8 places per course, so please ensure you are able to commit to both half-day workshops for the group you sign up for. Due to the nature of the course it is not possible to mix and match sessions between different groups.

Develop from Within (DfW):  Building Self-Awareness – an attribute central to effective leadership, collaboration, and personal and professional decision making.

Led by Dr Jeremy Hinks of Alpamayo Coaching Ltd, Develop From Within is a 3-part programme designed to support early career researchers through tailored use of the Lumina Spark behaviour preference profile coupled with two online small-group coaching sessions. Benefits to participants include enhanced self-awareness, ability to audit personal skills, values and behaviours, and increasing your capacity for coping with change. 

Find out more at: https://sotonac.sharepoint.com/teams/ResearcherDevelopmentHub/SitePages/Develop-From-Within.aspx

​

Intended Audience:

This session is aimed at all staff involved in and supporting research as it is being funded by the UKRI research culture pot.

Session Overview:

The overall aim of the workshop is to contribute to enabling and supporting participants understand and develop ways of working that supports the building of compassionate and inclusive cultures. The workshop is learner centred and will combine practitioner action orientated learning, insight-based activities, and transformative change practice.

By the end of the session participants will:

• Understand the importance of interpersonal relationships in building compassionate and inclusive cultures.

• Have an awareness of ways to develop a personal approach to compassionate conversations.

• Have an understanding of how to enhance individual and collective working across the system, including teamworking, through compassionate leadership and conversations.

• Have an experiential understanding of compassionate inclusive leadership and how to apply this in their work, particularly in working collectively.

• Be familiar with ways to build compassionate conversations into everyday practices.

Dates & Times:

This workshop is running four times on the following dates:

You can book for any workshop group on Staffbook. If booking for groups 1 or 3, please ensure you sign up for both parts 1 and 2. 

​In this one hour live online session you will learn decision-making and personal effectiveness techniques to overcome the initial fear of tackling challenging situations. You will learn how you can personally intervene when you see, feel or hear any type of behaviour that you think is hurtful or discriminatory. You will work though a number of scenarios and identify what options you have. You will be able to implement the learning from this session immediately.

​In this one hour live online session you will learn decision-making and personal effectiveness techniques to overcome the initial fear of tackling challenging situations. You will learn how you can personally intervene when you see, feel or hear any type of behaviour that you think is hurtful or discriminatory. You will work though a number of scenarios and identify what options you have. You will be able to implement the learning from this session immediately.

Develop from Within (DfW):  Building Self-Awareness – an attribute central to effective leadership, collaboration, and personal and professional decision making.

Led by Dr Jeremy Hinks of Alpamayo Coaching Ltd, Develop From Within is a 3-part programme designed to support early career researchers through tailored use of the Lumina Spark behaviour preference profile coupled with two online small-group coaching sessions. Benefits to participants include enhanced self-awareness, ability to audit personal skills, values and behaviours, and increasing your capacity for coping with change. 

Find out more at: https://sotonac.sharepoint.com/teams/ResearcherDevelopmentHub/SitePages/Develop-From-Within.aspx

Develop from Within (DfW):  Building Self-Awareness – an attribute central to effective leadership, collaboration, and personal and professional decision making.

Led by Dr Jeremy Hinks of Alpamayo Coaching Ltd, Develop From Within is a 3-part programme designed to support early career researchers through tailored use of the Lumina Spark behaviour preference profile coupled with two online small-group coaching sessions. Benefits to participants include enhanced self-awareness, ability to audit personal skills, values and behaviours, and increasing your capacity for coping with change. 

Find out more at: https://sotonac.sharepoint.com/teams/ResearcherDevelopmentHub/SitePages/Develop-From-Within.aspx

Develop from Within (DfW):  Building Self-Awareness – an attribute central to effective leadership, collaboration, and personal and professional decision making.

Led by Dr Jeremy Hinks of Alpamayo Coaching Ltd, Develop From Within is a 3-part programme designed to support early career researchers through tailored use of the Lumina Spark behaviour preference profile coupled with two online small-group coaching sessions. Benefits to participants include enhanced self-awareness, ability to audit personal skills, values and behaviours, and increasing your capacity for coping with change. 

Find out more at: https://sotonac.sharepoint.com/teams/ResearcherDevelopmentHub/SitePages/Develop-From-Within.aspx

Graduation celebrations for the classes of 2020, 2021 and 2022 will be held this Summer at St Mary's stadium on Wednesday 20, Thursday 21 and Friday 22 July 2022. This will be an exceptional graduation event given the exceptional circumstances our students have faced the last two years.

Develop from Within (DfW):  Building Self-Awareness – an attribute central to effective leadership, collaboration, and personal and professional decision making.

Led by Dr Jeremy Hinks of Alpamayo Coaching Ltd, Develop From Within is a 3-part programme designed to support early career researchers through tailored use of the Lumina Spark behaviour preference profile coupled with two online small-group coaching sessions. Benefits to participants include enhanced self-awareness, ability to audit personal skills, values and behaviours, and increasing your capacity for coping with change. 

Find out more at: https://sotonac.sharepoint.com/teams/ResearcherDevelopmentHub/SitePages/Develop-From-Within.aspx

​This series is aimed at Research staff and ECRs

Series Overview:

In this workshop, we provide an introduction to some of the core skills and tools needed to produce reliable, sustainable, and reproducible workflows for research data management. The core skills taught are: - Manipulating data in Spreadsheets using traditional programmes e.g. Excel and in the data specific program OpenRefine. - Using the shell/bash which is a text base interface that allows for more precise, efficient, and in-depth control of the computer and its file systems. - Using Git/Github a version control and collaborative working tool that keeps track of previous versions of files and code and can show differences and contributions from many collaborators. - Using R to load, process, and visualise data. As well as demonstrating some best practice for writing clear code. Each of these lessons are suitable for learners who have never used these tools before or have had some experience and are looking to go back to basics to formalise their understanding.

Learning Outcomes:

- Learn the basics of Spreadsheets, Shell/Bash, Git/version control, and R.

- Use traditional and data-focused spreadsheet tools to load, manipulate, clean, and analyse data.

- Be able to manage and manipulate directories containing thousands of files, process the data and provide output from the command line.

- Use Git to start a project, make changes and commit changes to Github.

- Write an R script that opens a file, processes the data and visualises the result.

Series Details:

"Introductory Research Data Management with R" is a seven part series which runs from 8^th – 17^th August 2022. You are welcome to book for all seven sessions, or just for those you feel you need. The exception is sessions 5-7, which are all focussed on R, and all need to be attended.

You can book all these sessions on PGR Manager – please be aware you will need to sign up for each one individually:

Introductory Research Data Management with R:

All will take place on MS Teams 9.30am – 1pm

Session 1: Spreadsheets - 08/08/2022

Session 2: Openrefine - 09/08/2022

Session 3: Bash - 10/08/2022

Session 4: Git - 11/08/2022

Session 5: R 1 - 15/08/2022

Session 6: R 2 - 16/08/2022

Session 7: R 3 - 17/08/2022

This series is aimed at Research staff and ECRs​

Series Overview:

In this workshop, we provide an introduction to some of the core skills and tools needed to produce reliable, sustainable, and reproducible workflows for research data management. The core skills taught are: - Manipulating data in Spreadsheets using traditional programmes e.g. Excel and in the data specific program OpenRefine. - Using the shell/bash which is a text base interface that allows for more precise, efficient, and in-depth control of the computer and its file systems. - Using Git/Github a version control and collaborative working tool that keeps track of previous versions of files and code and can show differences and contributions from many collaborators. - Using R to load, process, and visualise data. As well as demonstrating some best practice for writing clear code. Each of these lessons are suitable for learners who have never used these tools before or have had some experience and are looking to go back to basics to formalise their understanding.

Learning Outcomes:

- Learn the basics of Spreadsheets, Shell/Bash, Git/version control, and R.

- Use traditional and data-focused spreadsheet tools to load, manipulate, clean, and analyse data.

- Be able to manage and manipulate directories containing thousands of files, process the data and provide output from the command line.

- Use Git to start a project, make changes and commit changes to Github.

- Write an R script that opens a file, processes the data and visualises the result.

Series Details:

"Introductory Research Data Management with R" is a seven part series which runs from 8^th – 17^th August 2022. You are welcome to book for all seven sessions, or just for those you feel you need. The exception is sessions 5-7, which are all focussed on R, and all need to be attended.

You can book all these sessions on PGR Manager – please be aware you will need to sign up for each one individually:

Introductory Research Data Management with R:

All will take place on MS Teams 9.30am – 1pm

Session 1: Spreadsheets - 08/08/2022

Session 2: Openrefine - 09/08/2022

Session 3: Bash - 10/08/2022

Session 4: Git - 11/08/2022

Session 5: R 1 - 15/08/2022

Session 6: R 2 - 16/08/2022

Session 7: R 3 - 17/08/2022

This series is aimed at Research staff and ECRs

​

Series Overview:

In this workshop, we provide an introduction to some of the core skills and tools needed to produce reliable, sustainable, and reproducible workflows for research data management. The core skills taught are: - Manipulating data in Spreadsheets using traditional programmes e.g. Excel and in the data specific program OpenRefine. - Using the shell/bash which is a text base interface that allows for more precise, efficient, and in-depth control of the computer and its file systems. - Using Git/Github a version control and collaborative working tool that keeps track of previous versions of files and code and can show differences and contributions from many collaborators. - Using R to load, process, and visualise data. As well as demonstrating some best practice for writing clear code. Each of these lessons are suitable for learners who have never used these tools before or have had some experience and are looking to go back to basics to formalise their understanding.

Learning Outcomes:

- Learn the basics of Spreadsheets, Shell/Bash, Git/version control, and R.

- Use traditional and data-focused spreadsheet tools to load, manipulate, clean, and analyse data.

- Be able to manage and manipulate directories containing thousands of files, process the data and provide output from the command line.

- Use Git to start a project, make changes and commit changes to Github.

- Write an R script that opens a file, processes the data and visualises the result.

Series Details:

"Introductory Research Data Management with R" is a seven part series which runs from 8^th – 17^th August 2022. You are welcome to book for all seven sessions, or just for those you feel you need. The exception is sessions 5-7, which are all focussed on R, and all need to be attended.

You can book all these sessions on PGR Manager – please be aware you will need to sign up for each one individually:

Introductory Research Data Management with R:

All will take place on MS Teams 9.30am – 1pm

Session 1: Spreadsheets - 08/08/2022

Session 2: Openrefine - 09/08/2022

Session 3: Bash - 10/08/2022

Session 4: Git - 11/08/2022

Session 5: R 1 - 15/08/2022

Session 6: R 2 - 16/08/2022

Session 7: R 3 - 17/08/2022

​

This series is aimed at Research staff and ECRs

Series Overview:

In this workshop, we provide an introduction to some of the core skills and tools needed to produce reliable, sustainable, and reproducible workflows for research data management. The core skills taught are: - Manipulating data in Spreadsheets using traditional programmes e.g. Excel and in the data specific program OpenRefine. - Using the shell/bash which is a text base interface that allows for more precise, efficient, and in-depth control of the computer and its file systems. - Using Git/Github a version control and collaborative working tool that keeps track of previous versions of files and code and can show differences and contributions from many collaborators. - Using R to load, process, and visualise data. As well as demonstrating some best practice for writing clear code. Each of these lessons are suitable for learners who have never used these tools before or have had some experience and are looking to go back to basics to formalise their understanding.

Learning Outcomes:

- Learn the basics of Spreadsheets, Shell/Bash, Git/version control, and R.

- Use traditional and data-focused spreadsheet tools to load, manipulate, clean, and analyse data.

- Be able to manage and manipulate directories containing thousands of files, process the data and provide output from the command line.

- Use Git to start a project, make changes and commit changes to Github.

- Write an R script that opens a file, processes the data and visualises the result.

Series Details:

"Introductory Research Data Management with R" is a seven part series which runs from 8^th – 17^th August 2022. You are welcome to book for all seven sessions, or just for those you feel you need. The exception is sessions 5-7, which are all focussed on R, and all need to be attended.

You can book all these sessions on PGR Manager – please be aware you will need to sign up for each one individually:

Introductory Research Data Management with R:

All will take place on MS Teams 9.30am – 1pm

Session 1: Spreadsheets - 08/08/2022

Session 2: Openrefine - 09/08/2022

Session 3: Bash - 10/08/2022

Session 4: Git - 11/08/2022

Session 5: R 1 - 15/08/2022

Session 6: R 2 - 16/08/2022

Session 7: R 3 - 17/08/2022

​

This series is aimed at Research staff and ECRs

Series Overview:

In this workshop, we provide an introduction to some of the core skills and tools needed to produce reliable, sustainable, and reproducible workflows for research data management. The core skills taught are: - Manipulating data in Spreadsheets using traditional programmes e.g. Excel and in the data specific program OpenRefine. - Using the shell/bash which is a text base interface that allows for more precise, efficient, and in-depth control of the computer and its file systems. - Using Git/Github a version control and collaborative working tool that keeps track of previous versions of files and code and can show differences and contributions from many collaborators. - Using R to load, process, and visualise data. As well as demonstrating some best practice for writing clear code. Each of these lessons are suitable for learners who have never used these tools before or have had some experience and are looking to go back to basics to formalise their understanding.

Learning Outcomes:

- Learn the basics of Spreadsheets, Shell/Bash, Git/version control, and R.

- Use traditional and data-focused spreadsheet tools to load, manipulate, clean, and analyse data.

- Be able to manage and manipulate directories containing thousands of files, process the data and provide output from the command line.

- Use Git to start a project, make changes and commit changes to Github.

- Write an R script that opens a file, processes the data and visualises the result.

Series Details:

"Introductory Research Data Management with R" is a seven part series which runs from 8^th – 17^th August 2022. You are welcome to book for all seven sessions, or just for those you feel you need. The exception is sessions 5-7, which are all focussed on R, and all need to be attended.

You can book all these sessions on PGR Manager – please be aware you will need to sign up for each one individually:

Introductory Research Data Management with R:

All will take place on MS Teams 9.30am – 1pm

Session 1: Spreadsheets - 08/08/2022

Session 2: Openrefine - 09/08/2022

Session 3: Bash - 10/08/2022

Session 4: Git - 11/08/2022

Session 5: R 1 - 15/08/2022

Session 6: R 2 - 16/08/2022

Session 7: R 3 - 17/08/2022

​

This series is aimed at Research staff and ECRs

Series Overview:

In this workshop, we provide an introduction to some of the core skills and tools needed to produce reliable, sustainable, and reproducible workflows for research data management. The core skills taught are: - Manipulating data in Spreadsheets using traditional programmes e.g. Excel and in the data specific program OpenRefine. - Using the shell/bash which is a text base interface that allows for more precise, efficient, and in-depth control of the computer and its file systems. - Using Git/Github a version control and collaborative working tool that keeps track of previous versions of files and code and can show differences and contributions from many collaborators. - Using R to load, process, and visualise data. As well as demonstrating some best practice for writing clear code. Each of these lessons are suitable for learners who have never used these tools before or have had some experience and are looking to go back to basics to formalise their understanding.

Learning Outcomes:

- Learn the basics of Spreadsheets, Shell/Bash, Git/version control, and R.

- Use traditional and data-focused spreadsheet tools to load, manipulate, clean, and analyse data.

- Be able to manage and manipulate directories containing thousands of files, process the data and provide output from the command line.

- Use Git to start a project, make changes and commit changes to Github.

- Write an R script that opens a file, processes the data and visualises the result.

Series Details:

"Introductory Research Data Management with R" is a seven part series which runs from 8^th – 17^th August 2022. You are welcome to book for all seven sessions, or just for those you feel you need. The exception is sessions 5-7, which are all focussed on R, and all need to be attended.

You can book all these sessions on PGR Manager – please be aware you will need to sign up for each one individually:

Introductory Research Data Management with R:

All will take place on MS Teams 9.30am – 1pm

Session 1: Spreadsheets - 08/08/2022

Session 2: Openrefine - 09/08/2022

Session 3: Bash - 10/08/2022

Session 4: Git - 11/08/2022

Session 5: R 1 - 15/08/2022

Session 6: R 2 - 16/08/2022

Session 7: R 3 - 17/08/2022

​

This series is aimed at Research staff and ECRs

Series Overview:

In this workshop, we provide an introduction to some of the core skills and tools needed to produce reliable, sustainable, and reproducible workflows for research data management. The core skills taught are: - Manipulating data in Spreadsheets using traditional programmes e.g. Excel and in the data specific program OpenRefine. - Using the shell/bash which is a text base interface that allows for more precise, efficient, and in-depth control of the computer and its file systems. - Using Git/Github a version control and collaborative working tool that keeps track of previous versions of files and code and can show differences and contributions from many collaborators. - Using R to load, process, and visualise data. As well as demonstrating some best practice for writing clear code. Each of these lessons are suitable for learners who have never used these tools before or have had some experience and are looking to go back to basics to formalise their understanding.

Learning Outcomes:

- Learn the basics of Spreadsheets, Shell/Bash, Git/version control, and R.

- Use traditional and data-focused spreadsheet tools to load, manipulate, clean, and analyse data.

- Be able to manage and manipulate directories containing thousands of files, process the data and provide output from the command line.

- Use Git to start a project, make changes and commit changes to Github.

- Write an R script that opens a file, processes the data and visualises the result.

Series Details:

"Introductory Research Data Management with R" is a seven part series which runs from 8^th – 17^th August 2022. You are welcome to book for all seven sessions, or just for those you feel you need. The exception is sessions 5-7, which are all focussed on R, and all need to be attended.

You can book all these sessions on PGR Manager – please be aware you will need to sign up for each one individually:

Introductory Research Data Management with R:

All will take place on MS Teams 9.30am – 1pm

Session 1: Spreadsheets - 08/08/2022

Session 2: Openrefine - 09/08/2022

Session 3: Bash - 10/08/2022

Session 4: Git - 11/08/2022

Session 5: R 1 - 15/08/2022

Session 6: R 2 - 16/08/2022

Session 7: R 3 - 17/08/2022

The online course will take attendees through the entire process of using comparative judgement to construct reliable measurement scales.

Comparative judgement methods are used by social scientists to construct reliable measurement scales that are difficult to construct using traditional methods.

These methods have a long history but are only now gaining traction due to technological developments making them more accessible to researchers.

Bursaries are available for this course.

Find out more and register: https://www.ncrm.ac.uk/training/show.php?article=12040

In this one day course we will explore how to use R to import, manage and process spatial data. We will also cover the process of making choropleth maps, as well as some basic spatial analysis.

Finally, we will cover the use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than traditional graphic point-and-click interface.

Find out more and register: https://www.ncrm.ac.uk/training/show.php?article=12041

Many students in the social sciences, especially in political science, public policy and public administration who decide to undertake qualitative or interpretive research, feel they are unqualified to do so.

They express deep-seated confusion about the reliability and generalizability of data, results, and conclusions. They feel that interpretive approaches lack the type of specialised training that has become commonplace in quantitative political science.

The aim of this course is to redress this gap. We will equip students with a toolkit that will enable them to both conceptualise and execute an interpretive project.

Find out more and register: https://www.ncrm.ac.uk/training/show.php?article=11945