How do you balance algorithm research with funding source expectations?

2 Be flexible and adaptable

Algorithm research is not a linear or predictable process. You may encounter unexpected challenges, opportunities, or discoveries along the way. You may need to revise your research question, design, or analysis based on new data, findings, or feedback. You may need to adjust your timeline, budget, or scope based on changing circumstances, priorities, or constraints. You need to be flexible and adaptable to cope with the uncertainty and complexity of algorithm research. You also need to be transparent and proactive with your audience, and inform them of any changes or issues that may affect your research outcomes or deliverables.

3 Be original and innovative

Algorithm research is not a repetitive or trivial task. You need to demonstrate your originality and innovation in your research problem, solution, and contribution. You need to show how your algorithm research advances the state of the art, fills a gap in the literature, or solves a real-world problem. You need to use appropriate and rigorous methods, tools, and metrics to validate your algorithm performance, robustness, and scalability. You need to present your algorithm results, insights, and implications in a clear and compelling way that showcases your value and impact.

4 Be ethical and responsible

Algorithm research is not a neutral or harmless activity. You need to consider the ethical and social implications of your algorithm research, and how it may affect the rights, interests, and welfare of your stakeholders, users, and society. You need to follow the ethical principles and guidelines of your field, institution, and funding source, and respect the norms and values of your community and culture. You need to acknowledge the limitations, assumptions, and biases of your algorithm research, and address the potential risks, challenges, or controversies that may arise from your algorithm use or misuse.

5 Be curious and passionate

Algorithm research is not a boring or tedious job. You need to enjoy the process and the product of your algorithm research, and share your curiosity and passion with your audience. You need to explore new ideas, questions, or domains that spark your interest and challenge your skills. You need to pursue your research goals with enthusiasm, dedication, and perseverance. You need to express your confidence, excitement, and gratitude for your algorithm research, and inspire your audience to appreciate, support, or join your algorithm research journey.