Oxford
Oxford University
Oxford University
TPM
Te Pūnaha Matatini
Te Punaha Matatini
Arts
School of Social Sciences, Faculty of Arts
Faculty of Arts
ADHB
Auckland District Health Board
Auckland District Health Board
FMHS
Faculty of Medical and Health Sciences
Faculty of Medical and Health Sciences
CeR
Centre for eResearch
Centre for eResearch
Arts
Pacific studies, Te Wānanga o Waipapa, Faculty of Arts
NPM
Ngā Pae o te Māramatanga
TPM
Te Pūnaha Matatini
UoA
University of Auckland
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
AUT
Auckland University of Technology
AUT
CeR
Centre for eResearch
Centre for eResearch
Liggins
Liggins Institute
Liggins Institute
CeR
Centre for eResearch
Centre for eResearch
LLS
Libraries and Learning Services
Libraries and Learning Services
NeSI
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
LLS
Libraries and Learning Services
Libraries and Learning Services
LLS
Libraries and Learning Services
Libraries and Learning Services
LLS
Libraries and Learning Services
Libraries and Learning Services
CeR
Centre for eResearch
Centre for eResearch
LLS
Libraries and Learning Services
Libraries and Learning Services
ORSI
Office of Research Strategy and Integrity
Office of Research Strategy and Integrity
CeR
Centre for eResearch
Centre for eResearch
Engineering
Faculty of Engineering
Faculty of Engineering
FMHS
Faculty of Medical and Health Sciences
Faculty of Medical and Health Sciences
FOS
Faculty of Science
Faculty of Science
Uniservices
Uniservices
Uniservices
Uniservices
Uniservices
Uniservices
Massey University
Massey University
School of Natural and Computational Sciences, Massey University
CeR
Centre for eResearch
Centre for eResearch
CeR
Centre for eResearch
Centre for eResearch
Education
Faculty of Education and Social Work
Faculty of Education and Social Work
Liggins
Liggins Institute
Liggins Institute
NeSI
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Unleash Space
Unleash Space, Centre for Innovation and Entrepreneurship
UnleashSpace
REANNZ
REANNZ
REANNZ
Business
Business School
Business School
Dropbox
CeR
Centre for eResearch
Centre for eResearch
LLS
Libraries and Learning Services
Libraries and Learning Services
FOS
Faculty of Science
School of Environment
Arts
School of Social Sciences, Faculty of Arts
Faculty of Arts
Arts
School of Social Sciences, Faculty of Arts
Faculty of Arts
Geoffrey Batchen Chair of Art History, Oxford University
GEOFFREY BATCHEN (BA PhD Sydney) holds the Professorship of the History of Art in the Department of the History of Art and the Faculty of History. Professor Batchen is a fellow of Trinity College. Professor Batchen's work as a teacher, writer and curator focuses on the history of photography.
Professor Shaun Hendy , Te Punaha Matatini
Shaun Hendy is the Director of Te Pūnaha Matatini, a New Zealand Centre of Research Excellence, and a Professor of Physics at the University of Auckland.
Dr Jennifer Lees-Marshment will discuss the value of research impact and her experience as Academic Advisor to TVNZ’s online engagement tools Vote Compass (2017 and 2014) and Kiwimeter (2015). Her talk will showcase the value of engaging in research impact, but also discuss the challenges and pressures that stepping outside the ivory tower of academia can generate. Jennifer is Associate Professor in Politics and was academic lead on University of Auckland’s Impact Working Group and is a member of the Convening Group for the University COI in Impact.
Associate Professor Jennifer Lees-Marshment , Faculty of Arts
Jennifer Lees-Marshment is an Associate Professor in political science at The University of Auckland in New Zealand. Author/editor of 13 books, Jennifer is a world expert in political marketing with additional research interests in public input, leadership, and governance. Her most recent work The Ministry of Public Input (Palgrave 2015) won the IAP2 Australasia Research Award. Jennifer was academic advisor to TVNZ’s Vote Compass in the 2014 and 2017 New Zealand elections and Kiwimeter in 2015 and Chair of the Magna Carta 800 committee for NZ in 2015. See www.lees-marshment.org for further details or email j.lees-marshment@auckland.ac.nz.
Can we predict how many emergency admissions would occur in the next hour? Or is it possible to provide better care by automating cumbersome but essential clinical tasks? Discover how data science can help shape the 'health and care', in an industry which has data locked into many disparate systems. In this talk, we will touch upon 'the data and digital skills' required to overcome some of the challenges in realising the real value of healthcare data.
Open data on the internet is often made available, through Web service Application Programming Interfaces or APIs, by governments and other organisations. This workshop, will help you gain hands-on experience in requesting data from these different Web service APIs using R. Specifically, we will look into fetching weather and events data for Auckland region.
Manish Kukreja Full Stack Data Scientist | Trainer, Auckland District Health Board
Manish is a data scientist but more broadly is a solution seeker. He is passionate about teaching, (machine) learning and mentoring. His experience spans across multiple domains including consulting, telecom, fire protection, education and now in healthcare. He enjoys a blend of technical and leadership roles, most recently at Auckland DHB, GreyAtom and University of Auckland. His diverse background includes computer science/engineering, statistics and education, each of which he brings to his daily work in data science.
Come and hear how to escape from cookie cutter research, through our tale of novel collaboration bringing together an unlikely team of architects, medical doctors, data scientists and visualisation specialists working to change the way we study cancer. Spoiler alert: This team worked to bring together complex cancer data, spanning time and space, in Augmented Reality to creat a tool to explore and discuss the evolution of cancer in a whole new realm. This keynote aims to inspire collaboration and ambition across faculties and across disciplines to make the most of your precious data and the resources available to you at the University.
Tamsin Robb Doctorate Candidate, Faculty of Medical and Health Sciences
Tamsin is a PhD student in the Department of Molecular Medicine and Pathology, learning to become an in-the-lab and staring-at-data Mad Scientist.
Come and hear how to escape from cookie cutter research, through our tale of novel collaboration bringing together an unlikely team of architects, medical doctors, data scientists and visualisation specialists working to change the way we study cancer. Spoiler alert: This team worked to bring together complex cancer data, spanning time and space, in Augmented Reality to creat a tool to explore and discuss the evolution of cancer in a whole new realm. This keynote aims to inspire collaboration and ambition across faculties and across disciplines to make the most of your precious data and the resources available to you at the University.
Bianca Haux eResearch Solutions Specialist, Centre for eResearch
Biance hails from the Centre for eResearch, enabling cutting-edge research across the University as a Visualisation Specialist."
Details to be announced.
Lisa Uperesa Senior Lecturer,
Dr. Lisa Uperesa is Senior Lecturer in Pacific Studies at the University of Auckland. One strand of her research includes post-/colonial formations, indigenous politics, and contested sovereignties at the heart of and on the margins of U.S. empire. Another examines the place of sport in Pacific communities, with a focus on culture, political economy, and gender. Her book manuscript Fabled Futures and Gridiron Dreams: Migration, Mobilities, and Football in American Samoa is currently under review. Meanwhile, her new project explores the movement of haka outside of Aotearoa New Zealand through global sporting circuits, with a focus on diaspora, pan-Polynesian identity, performativity, and discussions around protocol and reciprocity. Dr. Uperesa earned her undergraduate degree at University of California, Berkeley, her Ph.D. in Anthropology from Columbia University, and is a proud alumna of Samoana High School (American Samoa). Previous teaching appointments include University of Hawai`i-Mānoa, Columbia University, and Hofstra University. She has served as Acting Director of the New Zealand Institute for Pacific Research and is the former Chair of the Association for Social Anthropology in Oceania.
Details to be announced.
Daniel Patrick Executive Director,
Daniel is the Executive Director of Ngā Pae o te Māramatanga, New Zealand’s Maori Centre of Research Excellence, and has been since 2011. He holds two degrees, a Bachelor's degree in Applied Sciences and a Master's degree in Health Sciences with honours, and while in executive and management positions often sees himself as a researcher or immersing himself in the research. He came to the Ngā Pae o te Māramatanga having co-founded and developed several research entities, including the Centre of Methods and Policy Applications in the Social Sciences (COMPASS), and prior to that the New Zealand Social Statistics Network (NZSSN), the New Zealand Social Science Data Service and Survey Research Unit. He has over 20 years research, or better said, research management experience and is a results focussed leader passionate about delivering public and social good through research and innovation.
Daniel Hikuroa Senior Lecturer,
Dr Daniel Hikuroa is Co-Deputy Director Public Engagement, Te Pūnaha Matatini, and a Prinicipal Investigator within Ngā Pae o te Māramatanga and Te Pūnaha Matatini
This session will offer a brief and practical introduction to Git and GitHub for complete beginners. Learn how you can use Git to manage and keep track of different versions of all your important files and documents that change through time in your projects. GitHub is one of the worlds leading online collaboration platforms for working on projects that use Git. Whether you write code or not, Git and GitHub are incredibly powerful tools that should be part of any researchers digital toolkit. Come and see what it's all about!
What tools do you use to get the job done? What techniques, tips, or software has been really useful in your experience? Come and share what you use for research, writing, or getting things done, and hear what others use that might be helpful for you too! In this fun and informal session we will compile a mega list of awesome tools, resources, and best practice that can be shared with everyone.
Cameron McLean eResearch Engagement Lead, Centre for eResearch
Cam is the team lead of the Centre for eResearch's engagement team.
This is a 'Bring your own device' session. Learn the basics of LaTeX and Overleaf in this workshop. We will create a template that you can use for both articles and a thesis.
View materialsSam Kavanagh eResearch Engagement Specialist, Centre for eResearch
Sam is a member of the Centre for eResearch's engagement team and is teaching the LaTeX workshop.
This is a 'Bring your own device' session. Learn the basics of LaTeX and Overleaf in this workshop. We will create a template that you can use for both articles and a thesis.
View materialsThis session will offer a brief and practical introduction to Git and GitHub for complete beginners. Learn how you can use Git to manage and keep track of different versions of all your important files and documents that change through time in your projects. GitHub is one of the worlds leading online collaboration platforms for working on projects that use Git. Whether you write code or not, Git and GitHub are incredibly powerful tools that should be part of any researchers digital toolkit. Come and see what it's all about!
Social media data can enable insightful research into areas like social behaviour and current events. How do you get started? And what are your experiences with the technical knowledge and costs required for collecting, cleaning and analysing social media datasets? This session brings together researchers already using social media datasets in their research, as well as those who are interested, to share tools, tips and experiences.
Noel Zeng eResearch Solution Specialist, Centre for eResearch
Noel is a member of the Centre for eResearch's solutions team.
This is a 'Bring your own device' session. Learn the basics of LaTeX and Overleaf in this workshop. We will create a template that you can use for both articles and a thesis.
View materialsResearch data: that which is created, collected or observed in the course of producing original research, regardless of format. This introductory workshop is aimed at researchers, particularly those embarking on their research career or starting a new research project. Attendees will develop strategies for capturing and organising research data, sharing and reusing data, and have an opportunity to draft a Data Management Plan (DMP).You will be introduced to data management concepts, best practices, services and useful tools to support you managing and sharing your research data.
This is a 'Bring your own device' session. A data management plan (DMP) is a document that describes what research data will be collected - how it will be organised, documented, stored; along with publication and preservation plans. If you want to create a DMP but do not know where to start or what to include, come along to this workshop where we go through the various aspects of the University's DMP, offer best practice examples and section-by-section advice for creating your initial DMP.
Session is particularly suited to provisional year doctoral candidates or researchers in the early stages of their research project.
Dharani Sontam eResearch Engagement Specialist, Centre for eResearch
Dharani is a member of the Centre for eResearch's engagement team.
The University of Auckland Code of Conduct for Research states "Researchers should share data and findings openly and as promptly as possible", a practice increasingly required by research funders and publishers. Come along to this workshop to learn about how you can disseminate your research findings; increase your research impact through data publication; learn about services available to you at the University to achieve this.
Research data: that which is created, collected or observed in the course of producing original research, regardless of format. This introductory workshop is aimed at researchers, particularly those embarking on their research career or starting a new research project. Attendees will develop strategies for capturing and organising research data, sharing and reusing data, and have an opportunity to draft a Data Management Plan (DMP).You will be introduced to data management concepts, best practices, services and useful tools to support you managing and sharing your research data.
This is a 'Bring your own device' session. A data management plan (DMP) is a document that describes what research data will be collected - how it will be organised, documented, stored; along with publication and preservation plans. If you want to create a DMP but do not know where to start or what to include, come along to this workshop where we go through the various aspects of the University's DMP, offer best practice examples and section-by-section advice for creating your initial DMP.
Session is particularly suited to provisional year doctoral candidates or researchers in the early stages of their research project.
Social media data can enable insightful research into areas like social behaviour and current events. How do you get started? And what are your experiences with the technical knowledge and costs required for collecting, cleaning and analysing social media datasets? This session brings together researchers already using social media datasets in their research, as well as those who are interested, to share tools, tips and experiences.
Laura Armstrong Senior eResearch Engagement Specialist, Centre for eResearch
Laura is a senior member of the Centre for eResearch's engagement team.
This is a 'Bring your own device' session. Do your computations take too long on your laptop? Do you want to offload long-running simulations to a different computer? Are there computations you cannot run on your desktop because you don't have enough memory or compute power? Would you be interested in easily reproducing existing data compute workflows for your use, or easily creating your own? You’re invited to attend a workshop for researchers wanting a practical introduction into using the NeCTAR Research Cloud! We’ll provide an introduction to using NeCTAR, all the basic tools you need to know to run your first cloud computer and demonstrate how you can use NeCTAR to help achieve your research and data analysis objectives.
Do your computations take too long on your laptop or desktop computer? Do you want to offload long-running simulations to a different computer? Are there computations you cannot run on your desktop because you don't have enough memory or compute power? In this workshop we give an overview of the options you have. We will cover the computer clusters of the New Zealand eScience Infrastructure (NeSI), the Research Virtual Machine Farm, and the Nectar Research Cloud, and which of the 3 systems is best suited for various use-cases.
Sean Matheny Senior eResearch Platform & Services Engineer, Centre for eResearch
Sean is a senior member of the Centre for eResearch's Platform & Services team.
This is a 'Bring your own device' session. Do your computations take too long on your laptop? Do you want to offload long-running simulations to a different computer? Are there computations you cannot run on your desktop because you don't have enough memory or compute power? Would you be interested in easily reproducing existing data compute workflows for your use, or easily creating your own? You’re invited to attend a workshop for researchers wanting a practical introduction into using the NeCTAR Research Cloud! We’ll provide an introduction to using NeCTAR, all the basic tools you need to know to run your first cloud computer and demonstrate how you can use NeCTAR to help achieve your research and data analysis objectives.
Jason He Senior eResearch Platform & Services Engineer, Centre for eResearch
Jason is a senior member of the Centre for eResearch's Platform & Services team.
This is a 'Bring your own device' session. Do your computations take too long on your laptop? Do you want to offload long-running simulations to a different computer? Are there computations you cannot run on your desktop because you don't have enough memory or compute power? Would you be interested in easily reproducing existing data compute workflows for your use, or easily creating your own? You’re invited to attend a workshop for researchers wanting a practical introduction into using the NeCTAR Research Cloud! We’ll provide an introduction to using NeCTAR, all the basic tools you need to know to run your first cloud computer and demonstrate how you can use NeCTAR to help achieve your research and data analysis objectives.
Do your computations take too long on your laptop or desktop computer? Do you want to offload long-running simulations to a different computer? Are there computations you cannot run on your desktop because you don't have enough memory or compute power? In this workshop we give an overview of the options you have. We will cover the computer clusters of the New Zealand eScience Infrastructure (NeSI), the Research Virtual Machine Farm, and the Nectar Research Cloud, and which of the 3 systems is best suited for various use-cases.
Martin Feller eResearch Platform & Services Lead, Centre for eResearch
Martin is the team lead of the Centre for eResearch's Platform & Services team.
Part 1: Economic, societal and environmental impact, or the ‘non-academic’ impact of research, is becoming an increasingly important part of the research ecosystem. It is standard practice for researchers to be asked by funders to describe the benefits of their research and how they might enable that benefit to be achieved. This session offers a high-level step-by-step guide on how to incorporate impact into your research planning.
Part 2: Sharing your research with the media is a great way to broaden its reach and raise your profile as a researcher, but what makes one story front-page material while others never get picked up to begin with? This session offers practical tips and techniques for communicating your research to the media and wider public – from crafting your story to taking advantage of the modern media landscape to maximise the chances of your story getting picked up.
This is a 'Bring your own device' session. Good data organisation is the foundation of any research project. We often organise data in spreadsheets in ways that we as humans want to work with it, but computers require data be organised in particular ways. In order to use tools that make computation more efficient such as programming languages like R or Python, we need to structure our data the way that computers need it. Since this is where most research projects start, this is where we want to start too!
Preparing data for analysis is an important part of the research workflow. Some of this involves data cleaning, where errors in the data are identifed and corrected or formatting made consistent. OpenRefine is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. This lesson will teach you to use OpenRefine to effectively clean and format data and automatically track any changes that you make. Many people comment that this tool saves them literally months of work trying to make these edits by hand.
This is a 'Bring your own device' session.
To be announced.
To be announced.
To be announced.
Yvette Wharton eResearch Solutions Lead, Centre for eResearch
Yvette is the team lead of the Centre for eResearch's Solutions team.
Is your research in a bioinformatics-related field? Are you wondering if ResBaz is any good for you? Or do you want to know what sessions are suitable for your research? This session highlights how tools like python, SQL, R and GitHub were used to answer a research question. It is meant to give a quick overview of the skills taught at ResBaz so you know exactly what sessions are most suitable for your needs.
This is a 'Bring your own device' session. This two-part workshop is an introduction to R for data analysis for complete beginners. The sessions are relatively informal, example oriented, and hands-on. The first half will cover the basics (no experience is assumed) and get us comfortable with R and its capabilities, which will prepare us for the second half where we will explore dataset manipulation.
Tayaza Fadason Doctoral Candidate, Liggins Institute
Tayaza is a doctoral candidate in the Liggins Institute.
This is a 'Bring your own laptop' session.
There are research computing platforms running the linux operating system where no gui interface is available, and it is imperative to know how to navigate filesystems and run programs from the command-line (the shell). From the command-line you can then automate your work-processes and work much more efficiently.
This introduction to the bash shell will cover 1) basic navigation, 2) customizing the shell with environment variables, and 3) running small automation scripts
Those whose laptop can boot into linux or MacOS have a bash shell already available to them. Windows users without linux should follow the instructions so that they can boot into ubuntu from a usb stick at the beginning of the session to have access to the bash shell. Alternatively, if you are running Windows10, install the Windows Subsystem for Linux.
The first of two games sessions – come and have some fun and find out about copyright and publishing.
We'll find out about copyright basics in a fun way and discover what works and uses are protected by copyright, how licences work, and what the copyright exceptions are that enable you to make use of protected works. As with all games there is an element of risk – so then we find out how to evaluate the risks where your use might not be covered by a licence or an exception.Everything you need to know about licences and research objects. Find out what you should know about copyright before you publish your work, and how to maintain rights over your work. Learn how to hack a copyright contract in a hands on practical session.
The Publishing Trap is a board game that allows players to explore the impact of scholarly communication choices and players discuss the role of open access in research by following the lives of four researchers – from doctoral research to their academic legacies.
Played in teams, the Publishing Trap is aimed at early career researchers and academics, as well as anyone who has a vested interest in understanding how access to information works and how the whole scholarly communication system in higher education operates. The game is designed to encourage you to make informed choices when signing publishing contracts and submitting work to the institutional repository.
Core? CPU? SSH? WTF? This is a fun, interactive activity where we will explore what terminology YOU think makes High Performance Computing (HPC) so darn difficult to understand. You might be learning about HPC for the first time or want to know more about specific tools you are using for your research (Bash, parallel computing, machine learning, etc…) Either way, this session is for you! All knowledge levels and all disciplines are welcome to attend.
Megan Guidry Research Communities Advisor, New Zealand eScience Infrastructure
Learn how to choose the right journal and avoid predatory publishers. Consider using preprints to get your ideas out early and explore techniques to get more people to read your research.
Liz Sowden Research Skills Advisor , Libraries and Learning Services
Learn how to choose the right journal and avoid predatory publishers. Consider using preprints to get your ideas out early and explore techniques to get more people to read your research.
This is a 'Bring your own device' session. Discover tips and tricks for staying up-to-date with the literature in your discipline, including: setting up database alerts, using advanced searching techniques, following twitter communities, setting up RSS feeds, and finding grey literature and patents.
Jo Simons Research Services Team Leader, Libraries and Learning Services
This is a 'Bring your own device' session. What will people find when they Google you? Learn about different research profiles available and start creating your professional online identity. Use researcher IDs (e.g. ORCiD) to claim and link your publications.
This is a 'Bring your own device' session. Social media and Altmetrics for researchers. Learn how to publicise your research using social media and gain greater visibility of your research both within and outside your field of expertise. Find out how your work is being cited or tweeted with citation databases and Altmetrics.
Emma Richardson Research Services Team Leader, Libraries and Learning Services
Details to be announced.
Chris Seal Senior eResearch Solutions Specialist, Centre for eResearch
Seanis a senior member of the Centre for eResearch's solutions team.
The first of two games sessions – come and have some fun and find out about copyright and publishing.
We'll find out about copyright basics in a fun way and discover what works and uses are protected by copyright, how licences work, and what the copyright exceptions are that enable you to make use of protected works. As with all games there is an element of risk – so then we find out how to evaluate the risks where your use might not be covered by a licence or an exception.Everything you need to know about licences and research objects. Find out what you should know about copyright before you publish your work, and how to maintain rights over your work. Learn how to hack a copyright contract in a hands on practical session.
The Publishing Trap is a board game that allows players to explore the impact of scholarly communication choices and players discuss the role of open access in research by following the lives of four researchers – from doctoral research to their academic legacies.
Played in teams, the Publishing Trap is aimed at early career researchers and academics, as well as anyone who has a vested interest in understanding how access to information works and how the whole scholarly communication system in higher education operates. The game is designed to encourage you to make informed choices when signing publishing contracts and submitting work to the institutional repository.
Part 1: Economic, societal and environmental impact, or the ‘non-academic’ impact of research, is becoming an increasingly important part of the research ecosystem. It is standard practice for researchers to be asked by funders to describe the benefits of their research and how they might enable that benefit to be achieved. This session offers a high-level step-by-step guide on how to incorporate impact into your research planning.
Part 2: Sharing your research with the media is a great way to broaden its reach and raise your profile as a researcher, but what makes one story front-page material while others never get picked up to begin with? This session offers practical tips and techniques for communicating your research to the media and wider public – from crafting your story to taking advantage of the modern media landscape to maximise the chances of your story getting picked up.
Faith Welch Research Impact Manager, Office of Research Strategy and Integrity
Unity is a freely available game engine - a platform designed for the primary purpose of video game development. At the Centre for eResearch, we use Unity to develop research visualisation applications for our various AR (Augmented Reality)/VR (Virtual Reality) platforms. In this session, we'll give a crash course on how to use Unity, and how to develop applications for AR headsets such as the Microsoft Hololens, and VR headsets such as the Samsung Gear VR.
Limited places, sign-up at Registration desk.
This is a 'Bring your own device' session.
This is a 'Bring your own device' session. This two-part workshop is an introduction to R for data analysis for complete beginners. The sessions are relatively informal, example oriented, and hands-on. The first half will cover the basics (no experience is assumed) and get us comfortable with R and its capabilities, which will prepare us for the second half where we will explore dataset manipulation.
Victoria King Doctoral Candidate, Faculty of Medical and Health Sciences
What should I know before embarking on a research project in DNA metabarcoding? Come along and find out what should be considered in the design of a DNA metabarcoding research project and what to expect during the wet lab stages through to the analyses of the next-generation sequencing data.
This session will cover the following topics: What is intellectual property, types of intellectual property, services and facilities available to researchers who are thinking of patenting/commercialising their research, things to keep in mind when working in projects that have a commercial focus (for instance, don’t make the knowledge public, publishing and data sensitivity issues) real-life case studies and a question and answer session with the attendees.
This session will cover the following topics: What is intellectual property, types of intellectual property, services and facilities available to researchers who are thinking of patenting/commercialising their research, things to keep in mind when working in projects that have a commercial focus (for instance, don’t make the knowledge public, publishing and data sensitivity issues) real-life case studies and a question and answer session with the attendees.
In this session, attendees will be introduced to some tools that are helpful in doing reproducible computational research. The example chosen are from the genomics/bioinformatics field but are, for the most parts, transferable to other disciplines. I will give some examples from my research where reproducibility plays role and why you might want to work in a reproducible manner.
Sebastian Schmeier Senior Lecturer in Bioinformatics/Genomics, School of Natural and Computational Sciences, Massey University
This is a 'Bring your own device' session. Academics can use machine learning, specifically deep learning, to more swiftly advance knowledge in their respective fields. This session will offer a brief introduction to deep learning for people with a basic knowledge of Python and Jupyter Notebook. It teaches you how to use Keras - a powerful, easy-to-use Python library - for developing and evaluating basic neural networks in a few short lines of code. We will go through three different case studies and demonstrate how neural networks can be a solution to these problems.
This is a 'Bring your own device' session. Academics can use machine learning, specifically deep learning, to more swiftly advance knowledge in their respective fields. This session will offer a brief introduction to deep learning for people with a basic knowledge of Python and Jupyter Notebook. It teaches you how to use Keras - a powerful, easy-to-use Python library - for developing and evaluating basic neural networks in a few short lines of code. We will go through three different case studies and demonstrate how neural networks can be a solution to these problems.
In this workshop, Mohamed will introduce some of the fundamental ideas and guidelines to consider when undertaking survey research. This workshop is ideal for students considering large-scale surveys, and covers general concepts, quality measurement checks, and practices in this field.
Mohamed Alansari Research Fellow, Faculty of Education and Social Work
This is a 'Bring your own device' session. This two-part workshop is an introduction to R for data analysis for complete beginners. The sessions are relatively informal, example oriented, and hands-on. The first half will cover the basics (no experience is assumed) and get us comfortable with R and its capabilities, which will prepare us for the second half where we will explore dataset manipulation.
Do your computations take too long on your laptop or desktop computer? Do you want to offload long-running simulations to a different computer? Are there computations you cannot run on your desktop because you don't have enough memory or compute power? In this workshop we give an overview of the options you have. We will cover the computer clusters of the New Zealand eScience Infrastructure (NeSI), the Research Virtual Machine Farm, and the Nectar Research Cloud, and which of the 3 systems is best suited for various use-cases.
Anthony Shaw Application Support Analyst, New Zealand eScience Infrastructure
Come and enjoy an interactive tour of the Create and Maker Space situated in UoA’s Innovation Hub – Unleash Space. Unleash Space Technician Sean Kelly and his Creative Technologists will be on hand to provide demonstrations of the free technology available to all UoA staff and students. From 3D printers to electronics to sewing machines we have a diverse suite of technology to support making, learning and innovative activity.
Limited places, sign-up at Registration desk.
To be announced.
Wallace Chase Technical Engagement Manager, REANNZ
As Technical Engagement Manager Wallace assists the membership to utilise the full potentional of REANNZ. To this end Wallace leverages his 15 years of experience in higher education IT operations and supporting research.
Social Network Analysis has a long history spanning multiple academic disciplines, so in this short session we won’t try to be comprehensive. Instead, participants will be exposed to some of key sociologically based network theories and their associated network measures. These basic insights can then be used as a starting point for further research. During this session we’ll also touch on some tools that exist to make cleaning, loading and analyzing network data easier than ever before.
More information about the session and resources for those wishing to follow along will be available here: http://jgmackay.com/resbaz/
Jon MacKay Lecturer, Business School
Jon MacKay is a lecturer in Business Analytics at the Graduate School of Management within the Business School at the University of Auckland. Dr. MacKay received his PhD in Management Sciences from the University of Waterloo in Canada. He has used network analysis in various projects. These include: examining how ownership networks within corporate boards is associated with performance; how corporate boards of successful companies within a German-speaking ethnic enclave in Canada were disconnected from those of the Anglo-Canadian elites at the turn of the last century; and the implications that ideological networks have for effective the leadership of political parties.
To be announced.
Vivian Ward ,
To be announced.
Hamish Osborne , Dropbox
Social media data can enable insightful research into areas like social behaviour and current events. How do you get started? And what are your experiences with the technical knowledge and costs required for collecting, cleaning and analysing social media datasets? This session brings together researchers already using social media datasets in their research, as well as those who are interested, to share tools, tips and experiences.
Sina Masoud-Ansari Senior eResearch Engagement Specialist, Centre for eResearch
Sina is a senior member of the Centre for eResearch's engagement team.
This is a 'Bring your own device' session. What will people find when they Google you? Learn about different research profiles available and start creating your professional online identity. Use researcher IDs (e.g. ORCiD) to claim and link your publications.
Sandy Lin Research Services Advisor, Libraries and Learning Services
Social media data can enable insightful research into areas like social behaviour and current events. How do you get started? And what are your experiences with the technical knowledge and costs required for collecting, cleaning and analysing social media datasets? This session brings together researchers already using social media datasets in their research, as well as those who are interested, to share tools, tips and experiences.
This is a 'Bring your own device' session. Social media and Altmetrics for researchers. Learn how to publicise your research using social media and gain greater visibility of your research both within and outside your field of expertise. Find out how your work is being cited or tweeted with citation databases and Altmetrics.
This is a 'Bring your own device' session. Social media and Altmetrics for researchers. Learn how to publicise your research using social media and gain greater visibility of your research both within and outside your field of expertise. Find out how your work is being cited or tweeted with citation databases and Altmetrics.