For my Text as Data research project, my interests lie within the context of climate change and the economy. I believe that government spending is vital to encouraging society to make changes in their everyday lives such that our planet will benefit from these changes. With my passion lying in climate policy and environmental economics, A colleague and I have begun to examine a climate survey that was conducted by a group of professors at Umass Amherst. This survey was created as a collaboration between Marta Vicarelli of the Economics department, Elisabeth Hamin of the Regional Planning department, and Meredith Rolfe of the Political Science department. The survey seeks to ask respondents about the municipality they live in and what barriers exist that have kept their municipality from adopting positive climate policy. The survey contained questions that asked respondents to express generally how climate change has affected their municipality. Several questions were also asked that identified if a municipality had a specific mechanism that is useful in combating climate change and encouraging proper awareness. These questions had respondents clarify if their town had proper monitoring and funding. Respondents also were asked to explain to what extent certain aspects of government were acting as a barrier to positive climate action. This included a lack of data or information and the level of competence that the local government possesses. An initial skimming of the data was performed and a log book was created that aimed to group words into categories that seemed to repeat themselves throughout the survey responses. The three biggest topics of concern for the respondents in the initial examination were funding or a lack there of, concerns with management on different government levels, and the availability of data but a lack of it being used. I am unsure of what research question I aim to answer but it would be interesting to explore the level of concern with climate migration and possible trends that would be expected with a migration of this magnitude due to sea level rise. This question would present the opportunity to predict future migration patterns based on opinions. With such a small data set, more data of a similar topic contain information about Massachusetts municipalities will more than likely be necessary to conduct a proper analysis. I plan to inquire about similar data sets with Professor Vicarelli such that the analysis would bring forth more meaningful results and would open my options on the types of research questions I could ask and would be able to answer. At the very least the survey provides an opportunity to examine common trends between municipalities. It would be interesting to explore in all coastal urban municipalities were experiencing the same issue with funding, or if all rural inland cities were worried about misinformation. Identifying these similarities could prove useful for local governments in understanding where the roadblocks lie for their municipality. It would also be interesting to explore what topic or conversation is of most concern to residents of Massachusetts municipalities? This could help local government focus on one topic of concern, allowing them to progress climate policy by eliminating a major barrier. Unfortunately due to the small size of this data set, my mind is not completely made up about what kind of data I will dive into. I plan to look at other data sets in the coming weeks.