Workshop at UTHealth, Houston
Data Governance in Healthcare: Ethical and Computational Perspectives
- Theme: “Exploring the intersection of data governance, AI/ML, and health equity”
- Location: Rio Grande Conference room, RM E630, 7000 Fannin St., Houston, TX 77030
Notice: This meeting is postponed due to extreme weather conditions. New dates will be 1/29-30.
Zoom Meeting Link
Topic: AIM-AHEAD DICB UTTU
Time: Jan 29, 2024 08:30 AM Central Time (US and Canada)
Every day, until Jan 30, 2024, 2 occurrence(s)
Jan 29, 2024 08:30 AM
Jan 30, 2024 08:30 AM
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Meeting ID: 994 1103 5097
Passcode: 489106
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Meeting ID: 994 1103 5097
Passcode: 489106
Time: Jan 29, 2024 08:30 AM Central Time (US and Canada)
Every day, until Jan 30, 2024, 2 occurrence(s)
Jan 29, 2024 08:30 AM
Jan 30, 2024 08:30 AM
Join Zoom Meeting
https://uthealth.zoom.us/j/99411035097?pwd=NG9JY2VsVllpWCtUN1ROUFN4N2h2UT09
Meeting ID: 994 1103 5097
Passcode: 489106
One tap mobile
+13462487799,,98256802192#,,,,*094498# US (Houston)
+14086380968,,98256802192#,,,,*094498# US (San Jose)
Dial by your location
• +1 346 248 7799 US (Houston)
• +1 408 638 0968 US (San Jose)
• +1 669 444 9171 US
• +1 669 900 6833 US (San Jose)
• +1 719 359 4580 US
• +1 253 205 0468 US
• +1 253 215 8782 US (Tacoma)
• +1 305 224 1968 US
• +1 309 205 3325 US
• +1 312 626 6799 US (Chicago)
• +1 360 209 5623 US
• +1 386 347 5053 US
• +1 507 473 4847 US
• +1 564 217 2000 US
• +1 646 876 9923 US (New York)
• +1 646 931 3860 US
• +1 689 278 1000 US
• +1 301 715 8592 US (Washington DC)
Meeting ID: 982 5680 2192
Passcode: 094498
Find your local number: https://uthealth.zoom.us/u/acdIa58UcQ
Join by SIP
• 99411035097@zoomcrc.com
Join by H.323
• 162.255.37.11 (US West)
• 162.255.36.11 (US East)
• 115.114.131.7 (India Mumbai)
• 115.114.115.7 (India Hyderabad)
• 213.19.144.110 (Amsterdam Netherlands)
• 213.244.140.110 (Germany)
• 103.122.166.55 (Australia Sydney)
• 103.122.167.55 (Australia Melbourne)
• 209.9.211.110 (Hong Kong SAR)
• 64.211.144.160 (Brazil)
• 69.174.57.160 (Canada Toronto)
• 65.39.152.160 (Canada Vancouver)
• 207.226.132.110 (Japan Tokyo)
• 149.137.24.110 (Japan Osaka)
Meeting ID: 994 1103 5097
Passcode: 489106
Day 1 (1/29)
9:00 - 9:25: Opening Remarks - Dean Prakash (10 minutes) and Dean Zhang (15 minutes)
9:25 - 9:30: Workshop Introduction - Dr. Xiaoqian Jiang
9:30 - 10:00: Introduction to Data Governance in Healthcare - Dr. Xiao Chang, Dr. Chitra Nayak
10:00 - 10:30: Joint DICB Session with Drs. Kakadiaris and Roberts for Synergy - Dr. Kakadiaris and Dr. Roberts will present his plan on data linkage, harmonization, and curation.
10:30 - 11:00: AIM-AHEAD Session - PI JK and Dr. Toufeeq Syed will discuss the AIM-AHEAD contribution and need assessment.
11:00 - 11:30: Presentation: Computational Biology and Genomics in AI/ML Research - Dr. Balasubramanyam Karanam, Dr. Xiaoqian Jiang
11:30 - 11:45: Discussion: Computational Biology and Genomics in AI/ML Research - Moderated by Dr. Osman Yardimci
11:45 - 12:00: Q&A Session: Computational Biology and Genomics in AI/ML Research - Panel includes Dr. Sodeke, Dr. Carter, Dr. Arif Harmanci, Dr. Han Chen, and interested MSBMI faculty
12:00 - 1:00: Lunch Break
1:00 - 1:30: Session Part 1: Introduction to Bioethics in Data Governance - Theme: “Understanding the Ethical Implications of Data Governance” - Dr. Stephen Sodeke
1:30 - 1:45: Q&A Session: Introduction to Bioethics in Data Governance - Theme: “Discussing the Ethical Implications of Data Governance” - Panel includes Dr. Sodeke, Dr. Carter, Dr. Arif Harmanci, Dr. Han Chen, and interested MSBMI faculty
1:45 - 2:00: Session Part 2: Case Studies in Bioethics and Data Governance - Theme: “Exploring Real-world Scenarios of Ethical Dilemmas in Data Governance” - Dr. Stephen Sodeke
2:00 - 2:15: Q&A Session: Case Studies in Bioethics and Data Governance - Panel includes Dr. Sodeke, Dr. Carter, Dr. Arif Harmanci, Dr. Han Chen, and interested MSBMI faculty
2:00 - 3:00: Case Studies in Data Governance and Health Equity - Dr. Osman Yardimci
3:00 - 4:00: Panel Discussion: Ethical Considerations in AI/ML for Healthcare - Dr. Honghe Wang, Dr. Arif Harmanci, invited external experts, and anyone else interested. Questions to inspire discussion:
- What are the main ethical challenges in AI/ML for healthcare?
- How can we ensure fairness and equity in AI/ML applications in healthcare?
- What are some best practices for addressing ethical considerations in AI/ML for healthcare?
4:00 - 5:00: Meeting with MSBMI Faculty to Discuss Joint Interests
6:30: Networking Dinner at Aga’s Restaurant and Catering (20 people)
- Address: 11842 Wilcrest Dr, Houston, TX 77031
- Phone: (832) 786-8000
- Note: The dinner is booked at 6:45 under Dr. Xiaoqian Jiang. Aga’s is the #1 Indian restaurant in Houston. Please be aware that the table will only hold for 10 minutes.
Day 2 (1/30)
8:00 - 9:00: Discussion on 4+1 Joint Program with Dr. Fenton - Dr. Prakash
- This session will focus on the potential collaboration between our institution and the 4+1 Joint Program. Dr. Fenton, Dr. Prakash, Dr. Honghe Wang, and Dr. Chitra Nayak will lead the discussion, exploring the benefits and challenges of such a partnership.
- Note: This time is not determined and might need to be changed.
9:00 - 10:00: Roundtable: Data Access and Computation/ML Capability - Dr. Osman Yardimci, Dr. Stephen Sodeke, Dr. Vivian Carter, Dr. Zhao Li (on behave of Dr. Jim Zheng)
- This roundtable session will delve into the critical aspects of data access and computational capabilities in the context of the emerging AI landscape. The discussion will explore the challenges and opportunities associated with accessing and managing large datasets, the computational requirements for handling such data, and the implications for machine learning capabilities.
- The session aims to foster a comprehensive understanding of these issues and stimulate ideas for innovative solutions and strategies.
- Note: This time is not determined and might need to be changed.
10:00 - 11:00: AI Fairness with Industry and Leaders - Dr. Xiaoqian Jiang
- In this session, Dr. Xiaoqian Jiang will lead a discussion on AI fairness. The discussion will involve industry leaders and will focus on the importance of fairness in AI, the current state of fairness in AI, and what steps can be taken to improve fairness in AI.
- Note: This time is not determined and might need to be changed.
11:00 - 12:00: Social Session - Open Discussion
- This session is an open discussion where participants can interact and discuss various topics in a relaxed setting. It’s a great opportunity to network and share ideas.
12:00 - 1:00: Lunch Break
- A lunch break is scheduled for all participants. This is a good time to relax, enjoy some food, and casually discuss the morning’s sessions.
1:00 - 3:00: MSBMI Tour and Interaction with Local Faculty
- This session will include a tour of the MSBMI facilities and an opportunity to interact with local faculty. Participants will have the chance to learn more about the work being done at MSBMI and discuss potential collaborations.
Workshop flyer
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