AI in Social Research
Be equipped with the tools and knowledge needed to unlock the full potential of artificial intelligence as aid in social research.
Upcoming Schedule: 25-26 January 2024 | PSSCenter, Quezon City
The rise of technology and artificial intelligence (AI) has opened up possibilities and opportunities in various fields, including social science research. AI tools have been developed with the aim of assisting researchers in the different phases of research work, from conceptualization, data collection, and analysis to interpretation and dissemination. Likewise, the use of AI has raised issues and debates within the academic community, including questions of ethics and integrity. This training workshop is designed to equip researchers with the tools and knowledge needed to unlock the full potential of AI as aid in social research, while maintaining ethics and integrity in the responsible conduct of research.
At the end of the training workshop, participants will be able to:
- Examine the advantages and constraints of AI in social research;
- Apply diverse AI tools across research phases, including data collection, analysis, interpretation, and dissemination;
- Explore cutting-edge AI applications;
- Identify ethical implications of AI in social research; and
- Navigate intellectual property and data privacy considerations in AI-augmented research.
Research in the Age of AI: An Introduction
Explore the realm of artificial intelligence and its various applications in social science research, as well as its advantages and constraints.
AI Tools for Research
Try out diverse AI tools in the different stages of the research process: discovery, analysis, writing, publication, outreach, and assessment.
Issues Surrounding AI in Social Research
Discuss the different ethical implications of using AI for social science research, including privacy and data protection, intellectual property, transparency and explainability, human oversight and control, and potential for exploitation.
Assoc. Prof. Peter A. Sy is the Chair of the Privacy Experts Group, eHealth, Department of Health (DOH)/Department of Science and Technology (DOST); Consultant for the development of a National AI Governance Framework (DTI); Independent Consultant for the National Ethics Committee (NEC); Member and Lecturer of the Philippine Health Research Ethics Board (PHREB) Committee on Information Dissemination, Training, and Advocacy (CIDTA); Chair of the Ad Hoc Committee on Open Data of the University of the Philippines Diliman; Program Director (2011-2014), of the Ethical, Legal, Social Issues (ELSI) Program of the Philippine Genome Center; Director (2008-2014) of the Diliman Interactive Learning Center (DILC), University of the Philippines; and Executive Officer (2003-2014) of the International Association of Bioethics (IAB). He has been a research consultant for the Public Assessment of Water Services (PAWS), National Engineering Center; Research Fellow at the UP Center for Integrative and Development Studies; a recipient of several International Publications Awards from the University of the Philippines; a referee of various journals; and a Research Fellow in Ethical Issues in International Research at the School of Public Health, Harvard University.
He is currently working on AI ethics and governance; data privacy; open data; research ethics; digital humanities; epistemology of social media; ethical issues in genomics; ethical issues in medical tourism; culture of compliance in healthcare; forensic ethics; and social stratification in the Philippines.
Additionally, he is also involved in some other initiatives, including: UP Social Innovations Lab (co-founder, UPSILab – upsilab.org); “Computational Social Research” Workshop Series (convenor/co-orgnizer); eLibraries for Rural Schools (project lead, library.ph); and TRIZ (Theory of Inventive Problem Solving) Workshops (convenor/co-organizer).
- Click on the button below and accomplish the registration form.
- Upon submission of your registration form, a copy of your form with payment instructions will be sent to your registered email address.
- Pay the training fee either through bank deposit/transfer or online (PayPal or credit/debit card). Send the proof of transaction to firstname.lastname@example.org.
PhP7,500 per participant
Member's Rate (individual members of PSSC member-organizations)
PhP6,750 per participant
Group Rate (three or more participants from the same institution)
PhP6,750 per participant
The training fee is inclusive of meals (lunch and snacks) and training materials.
Frequently Asked Questions (FAQs)
The course is open to all social science researchers, faculty, students, and practitioners interested in exploring the use of AI in research.
The course will be held for a duration of two days from 8:00 AM to 5:00 PM. The total duration for the course is 16 hours.
The course will be delivered on-site and synchronously at the Philippine Social Science Center in Diliman, Quezon City. The course will employ diverse learning methods including lectures, discussions, open fora, and interactive exercises.
The deadline of registration and full payment of training fees is on 18 January 2024 or until all slots are filled. Slots are limited so register now!
Yes. Participants who complete the course will receive a Certificate of Completion. Each participant is expected to attend all sessions and accomplish all course activities in order to complete the course. Each participant must also accomplish a training evaluation form at the end of the course in order to receive the certificate.
PSSC Cancellation and Refund Policy
- The PSSC reserves the right to postpone or cancel a training program in case the minimum number of participants is not met or for other reasons beyond the control of the PSSC, such as typhoons, calamities, or other force majeure events. In such cases, payment made shall be returned to the participants in full.
- Participants who cancel before the seven-day period prior to the start of the course will not be charged any cancellation fee. Payments already made shall be refunded in full.
- Participants who cancel within the seven-day period before the start of the course shall be refunded 50% of the training fee already paid.
- No-show participants or those who cancel on the day itself shall not get a refund of their training fee.
- Substitution of participants is allowed up to one day before the start of the course.
- Communications and notifications regarding cancellations must be emailed to email@example.com.
You may send an email to firstname.lastname@example.org