CTSA Consortium Events: Events sponsored by the CTSA Consortium. Attendance is open to all members of the consortium.

CTSA Institutional Events: Events sponsored by CTSA Institutions. Attendance is open to all members of the consortium.

Other Events: Events sponsored by external partners of the CTSA Consortium that are related to clinical and translational research that might be of interest to CTSA members.


Interested in posting an event? Please submit your information here.

2017 OHRP Research Community Forum- Cincinnati. Human Subject Protection...and all that Regulatory Jazz!

2017 OHRP Research Community Forum- Cincinnati.  Human Subject Protection…and all that Regulatory Jazz!

Location: Cincinnati, Ohio (Northern Kentucky Convention Center)

Date: 09-06-2017- 09-07-2017

Event Sponsor By: University of Cincinnati (UC) Center for Clinical and Translational Science and Training (CCTST)


This two-day human subject protection forum consists of an academic conference and an applied workshop relevant to institutional review board (IRB) members, IRB administrators, clinical investigators, research scientists and support staff, sponsors, contract research organizations, government regulators, and other members of the research community. Representatives from the Office for Human Research Protections (OHRP) and other federal agencies as well as research experts will provide perspectives and resources for interpreting and applying human subject protections in an evolving regulatory landscape. Ethics-related topics spanning social/behavioral, biomedical, community-engaged and innovative research will be presented.

The Forum will be hosted by Cincinnati Children’s Hospital Medical Center, Schulman IRB, University of Cincinnati, University of Kentucky Office of Research Integrity, Cincinnati Veterans Affairs Medical Center, the UK Center for Clinical and Translational Science, and the UC Center for Clinical and Translational Science and Training (CCTST).

Please click here  for more information.

4th Annual Comparative Effectiveness Research Symposium Plus

4th Annual Comparative Effectiveness Research Symposium Plus

Location: Boston, MA

Date: 06-07-2017 9:00AM-4:00PM

Event Sponsor By:Tufts Clinical and Translational Science Institute


Interested in comparative effectiveness research (CER)? Want to meet collaborators and develop grant proposals?

Join Tufts CTSI for our 4th Annual CER Symposium Plus on Wednesday, June 7, 9:00AM-4:00PM in Sackler 114 (145 Harrison Avenue, Boston). This interactive event will focus on several CER use cases, with the goals of assisting teams to develop research project proposals for future grant submissions, and engaging event participants in team science approaches to catalyze research ideas.

Four projects will be presented and discussed:

– Structured Opioid Use After Joint Arthroplasty submitted by Geneve M. Allison, MD, MSc, FACP, Tufts Medical Center
– Modeling Spatiotemporal Contributors to Inter-Facility Clostridium Difficile Colitis Transmission submitted by Luke Muggy, PhD, RAND Corporation
– Triggers for Palliative Care Engagement in Hospital-Based Settings: A Comparative Effectiveness Study submitted by Signe Peterson Flieger, PhD, MSW, Tufts University
– Linkage to HCV Treatment for People with Substance Use Disorders: A Comparative Effectiveness Research Study submitted by Thomas J. Stopka, PhD, Tufts University

To register:

Please click here for more information.

Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome

Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome

Location: Beverly, MA

Date: 06-19-2017 – 06-23-2017

Event Sponsor By: Big Data to Knowledge Training Coordination Center (BD2K TCC)


The goal of the event is to foster the formation of new interdisciplinary collaborations that will generate creative strategies for addressing challenges associated with the visualization, modeling, and analysis of biomedical big data coming from the microbiome. Such challenges arise from multifaceted data structures like networks and images, sparse or missing data, streaming of non-stationary time series data, the need for integration from multiple sources of data, interaction effects, etc. This Innovation Lab is intended to bring together expertise from the mathematical, statistical, and biomedical fields, to address interdisciplinary topics in biomedical data science critical to the effective use of microbiome big data.

Early-career investigators (Assistant/Associate Professors) from a broad diversity of quantitative (e.g. Mathematics, Statistics, Biostatistics, and Computer Science) and biomedical (e.g. Biology, Clinical science, Ecology, Microbiology) disciplines are highly encouraged to apply. The example disciplines above are by no means limiting: the lab is open to any biomedical investigator who has research questions with an associated microbiome big data challenge or any quantitative investigator with relevant approaches and methodology to the analysis of microbiome big data. Selected participants will take part in a mentored, five-day workshop to form new interdisciplinary teams to tackle these data science challenges. At the end of the workshop, teams will have developed an idea for a research proposal that could be submitted to the NIH or NSF.

Please click here for more information.