Previous Workshops
ATCHIVR has a mandate to conduct workshops to capacitate the community on various aspect including and not limited to Bioinformatics, Biostatistics, Data Science and Data management.
Proposal writing Dates: 27 June - 28 June 2022
Workshop objectives
- To enhance the research capacity skills of postgraduate students and young researchers through writing of bankable research proposals.
This course was conducted in collaboration with the center of postgraduate studies at the University of Zimbabwe
Responsible conduct of research Part1 Dates: 31 March 2022
Workshop objectives
- To enhance the research capacity skills of postgraduate students and young researchers through writing of bankable research proposals.
This course was conducted in collaboration with the center of postgraduate studies at the University of Zimbabwe
All ATCHIVR Fellows were mandated to attend
Building sustainable mentorship programs Dates: 1 November - 3 November 2022
Work Shop Description
This is a 2 program approach to addressing the challanges faced by students who are mentored locally. Firstly we will hold a 2 day workshop with local mentors where the focus will be to define quality mentorship in a Zimbabwean setting. Attendance to this particular workshop will be by invitation. subsequent workshops on mentorship will be open to public participation. Secondly we will hold a 2 day workshop for mentees where they will receive feedback from the mentors workshop and create a platform for them to contribute to the mentorship design.
Responsible conduct of research Part2 Dates: 19 September - 20 September 2022
Workshop objectives
- To enhance the research capacity skills of postgraduate students and young researchers through writing of bankable research proposals.
This course was conducted in collaboration with the center of postgraduate studies at the University of Zimbabwe
Data management and introduction to Biostatistics Date: 24 January – 28 January 2022
Course Series Objectives
At the end of the workshop all participants should:
- Understand key concepts of data management
- Design and develop electronic data collection tools
- Clean data in preparation for analysis using excel and STATA
- Protect participant identities using unique identifiers
- Perform statistical analysis using stata
- Appreciate the trajectories of data science, big data analytics and bioinformatics.
Teaching Methodology
The first 2 days of each workshop will involve theory discussions of the background and use of the technologies in data management and biostatistics. The following 3 days will involve a hands-on training of how to apply principles of Biostatistics and presentation of findings in a research/scientific setting. The last day of the course will have an overall assessment of everything taught through panel discussions.
The course is designed to be delivered as theoretical and practical sessions, tutorials and exercises. All participants are expected to attend all/ elective sessions and are therefore expected to dedicate time to attend the workshop. In addition to sessions, participants will get access to reading materials on these topics. Participants will be required to bring a practice data set derived from their research work which they will use to practice the principles of data management and biostatistics. Not all participants are required to attend all sessions. Participants can choose sessions of interest and should indicate this in their application. Participants will be split into 2 groups as follows:
Data management group: is for participants who want to gain data management skills to be applied in research or programming settings.
Scientific group: is for participants who are currently conducting research projects and have collected data which is at the analysis stage. Or researchers who are currently writing scientific papers and are about to publish findings.
The course is facilitated by the Biomedical Research and Training Institute (BRTI) with funding from NIH-D43 (TW 011326) HIV Training Grant.
Ethics in genetics and genomics Part 2 Dates: 18 August - 19 August 2021
Course Series Objectives
At the end of the workshop all participants should:
- Understand key concepts of data management
- Design and develop electronic data collection tools
- Clean data in preparation for analysis using excel and STATA
- Protect participant identities using unique identifiers
- Perform statistical analysis using stata
- Appreciate the trajectories of data science, big data analytics and bioinformatics.
Responsible conduct of research Part1 Dates: 31 March 2022
Workshop objectives
- To enhance the research capacity skills of postgraduate students and young researchers through writing of bankable research proposals.
This course was conducted in collaboration with the center of postgraduate studies at the University of Zimbabwe
All ATCHIVR Fellows were mandated to attend
Advanced genomics technologies workshop series
Workshop Series Objectives
- To inspire Zimbabwean researchers to expand current projects and aspirations to include next generation sequencing (NGS).
- To build understanding in the basic processes of genomic technologies including NGS and the bioinformatics needed for analysis.
Teaching Methodology
This is a hands on training workshop for the next generation research leaders in Zimbabwe. The first days of each workshop will involve theory discussions of the background and use of the technologies in application to HIV drug resistance (HIVDR). The following days will involve a hands on training of how to perform the assay and the use of the various machines in respect to HIVDR. The last day of the workshop will have an overall assessment of everything taught.
The course is designed to be delivered as theoretical and practical sessions, tutorials and exercises. All participants are expected to attend all/ elective sessions and are therefore expected to dedicate time to attend the workshop. In addition to sessions, participants will get access to reading materials on these topics. Participants will be required to bring a practice data set derived from their research work which they will use to practice the principles of data management and biostatistics. Not all participants are required to attend all sessions. Participants can choose sessions of interest and should indicate this in their application. Participants will be split into 2 groups as follows:
Data management group: is for participants who want to gain data management skills to be applied in research or programming settings.
Scientific group: is for participants who are currently conducting research projects and have collected data which is at the analysis stage. Or researchers who are currently writing scientific papers and are about to publish findings.
The course is facilitated by the Biomedical Research and Training Institute (BRTI) with funding from NIH-D43 (TW 011326) HIV Training Grant.
Dr J. Manasa
ATCHIVR-NIH Project CO-PI
Ms Mildred Pepukai
ATCHIVR-NIH Project Manager
Tendai Washaya
vinie
Justin Mayini
Ethics in genetics and genomics Part 1 Dates: 24 November - 25 November 2020
Course Series Objectives
The seminar series seeks to equip participants with an understanding of the ethical
issues and considerations around the use of genetic and genomic data. The seminars
will also stimulate debate and discussion on key ethical issues around use of genomic
and genetic data in clinical, research and other settings.
Participants who attend the sessions will be able to:
define basic scientific terms and appreciate the different technologies related to
genetics and genomics
describe the benefits, pitfalls and potential risks of harm associated with the use
of genetic materials
identify ethical, legal, social and regulatory issues in international genetic and
genomic collaborative research.
evaluate existing bioethical frameworks using contemporary and historical
lenses; and
develop and conduct ethical analyses that sufficiently consider African contexts.