The goal of the Round 2 Trust in Science RFP is to enable faculty across Harvard to study issues related to trust in science, broadly construed. The Trust in Science Project welcomes data-science related initiatives from any field, including humanities and social sciences, ideally involving collaboration that engages with more than one approach, or builds bridges between them. Questions of particular interest include: 

• How can the processes and products of data science be made more transparent, and how might strategies of democratization affect the trustworthiness of science? 

• How do methods of visualizing data affect the ways that different groups assess the trustworthiness of that data?

• How can collaborative team structures in science increase the trustworthiness of their results?

• What gives rise to extreme or far out interpretations of data and how are conspiracy theories propagated?

These are only examples of appropriate research directions and applicants are encouraged to think broadly. 

Matchmaking: The Project seeks to facilitate connections between researchers in diverse disciplines.  If you believe your proposal would benefit from a collaboration with a researcher outside your department or discipline, we encourage you to seek collaborators through the Trust in Science channel on the HDSI Slack.  You can access our Slack at https://bit.ly/2L5E3h5. 

Award Amount and Duration: 

1. One-page concept note outlining:

1. The question or problem you wish to address and why it is important.

2. The collaborative approach to be taken.

3. A proposed budget.

2. One-page C.V.

We will work individually with applicants for exploratory awards if we determine that the project merits further development.